Updated on 2024/08/09

写真a

 
TANOUCHI Hiroto
 
Name of department
Faculty of Systems Engineering, Environmental Science
Job title
Associate Professor
Mail Address
E-mail address
Homepage
External link

Education

  • 2014
    -
    2015

    Swedish Meteorological and Hydrological Institute  

  • 2013
    -
    2016

    Tokyo Metropolitan University   Graduate School of Urban Environmental Sciences   都市基盤環境学域  

  • 2011
    -
    2013

    Tokyo Metropolitan University   Graduate School of Urban Environmental Sciences  

     View Remarks

    Master

  • 2009
    -
    2011

    Hokkaido University   Faculty of Environmental Earth Science   Division of Earth System Science  

  • 2004
    -
    2008

    Shinshu University   Faculty of Engineering   社会開発工学科  

Academic & Professional Experience

  • 2022.04
    -
    Now

    Wakayama University   Faculty of Systems Engineering   Lecturer

  • 2016.04
    -
    2022.03

    Wakayama University   Faculty of Systems Engineering   Assistant professor

Association Memberships

  • 2023.09
    -
    Now

    日本自然災害学会

  • 2018.09
    -
    2023.04

    人工知能学会

  • 2017.04
    -
    Now

    廃棄物資源循環学会

  • 2016.04
    -
    Now

    地盤工学会

  • 2016.04
    -
    Now

    日本水環境学会

  • 2016.04
    -
    2023.03

    日本地下水学会

  • 2014.05
    -
    Now

    地理情報システム学会

  • 2013.05
    -
    Now

    水文・水資源学会

  • 2007.12
    -
    Now

    土木学会

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Research Areas

  • Social infrastructure (civil Engineering, architecture, disaster prevention) / Hydroengineering

  • Social infrastructure (civil Engineering, architecture, disaster prevention) / Civil engineering (environmental systems)

  • Social infrastructure (civil Engineering, architecture, disaster prevention) / Disaster prevention engineering

Classes (including Experimental Classes, Seminars, Graduation Thesis Guidance, Graduation Research, and Topical Research)

  • 2023   Information Processing ⅡB   Liberal Arts and Sciences Subjects

  • 2023   Information Processing ⅡB   Liberal Arts and Sciences Subjects

  • 2023   Information Processing ⅡA   Liberal Arts and Sciences Subjects

  • 2023   Information Processing ⅡA   Liberal Arts and Sciences Subjects

  • 2023   Introductory Seminar in Systems Engineering   Specialized Subjects

  • 2023   Seminar in Environmental Science   Specialized Subjects

  • 2023   Graduation Research   Specialized Subjects

  • 2023   Disaster Information Engineering   Specialized Subjects

  • 2023   Seminar in Environmental Information Modeling B   Specialized Subjects

  • 2023   Seminar in Environmental Information Modeling A   Specialized Subjects

  • 2023   Mathematical Analysis for Environmental Science B   Specialized Subjects

  • 2023   Disaster Prevention Engineering   Specialized Subjects

  • 2022   Disaster Prevention Engineering   Specialized Subjects

  • 2022   Seminar in Environmental Information Modeling B   Specialized Subjects

  • 2022   Seminar in Environmental Information Modeling A   Specialized Subjects

  • 2022   Graduation Research   Specialized Subjects

  • 2022   Graduation Research   Specialized Subjects

  • 2022   Hydraulics   Specialized Subjects

  • 2022   Disaster Information Engineering   Specialized Subjects

  • 2022   Mathematical Analysis for Environmental Science B   Specialized Subjects

  • 2022   Seminar in Environmental Science   Specialized Subjects

  • 2021   Seminar in Environmental Information Modeling A   Specialized Subjects

  • 2021   Disaster Prevention Engineering   Specialized Subjects

  • 2021   Graduation Research   Specialized Subjects

  • 2021   Seminar in Environmental Science   Specialized Subjects

  • 2021   Seminar in Environmental Information Modeling B   Specialized Subjects

  • 2021   Seminar in Environmental Information Modeling A   Specialized Subjects

  • 2021   Graduation Research   Specialized Subjects

  • 2021   Disaster Information Engineering   Specialized Subjects

  • 2021   Mathematical Analysis for Environmental Science B   Specialized Subjects

  • 2021   Mathematical Analysis for Environmental Science B   Specialized Subjects

  • 2021   Graduation Research   Specialized Subjects

  • 2021   Disaster Information Engineering   Specialized Subjects

  • 2021   Seminar in Environmental Information Modeling B   Specialized Subjects

  • 2020   Graduation Research   Specialized Subjects

  • 2020   Introductory Seminar in Systems Engineering   Specialized Subjects

  • 2020   Seminar in Environmental Information Modeling B   Specialized Subjects

  • 2020   Seminar in Environmental Information Modeling A   Specialized Subjects

  • 2020   Disaster Information Engineering   Specialized Subjects

  • 2020   Seminar in Environmental Science   Specialized Subjects

  • 2020   Mathematical Analysis for Environmental Science B   Specialized Subjects

  • 2020   Disaster Prevention Engineering   Specialized Subjects

  • 2019   Seminar in Environmental Information Modeling   Specialized Subjects

  • 2019   Seminar in Environmental Information Modeling   Specialized Subjects

  • 2019   Risk Management   Specialized Subjects

  • 2019   Disaster Prevention Engineering   Specialized Subjects

  • 2019   Disaster Information Engineering   Specialized Subjects

  • 2019   Seminar in Environmental Science   Specialized Subjects

  • 2019   Hydraulics   Specialized Subjects

  • 2019   Mathematical Analysis for Environmental Science B   Specialized Subjects

  • 2018   Mathematical Analysis for Environmental Science B   Specialized Subjects

  • 2018   Seminar in Environmental Information Modeling   Specialized Subjects

  • 2018   Seminar in Environmental Information Modeling   Specialized Subjects

  • 2018   Disaster Information Engineering   Specialized Subjects

  • 2018   Seminar in Environmental Science   Specialized Subjects

  • 2018   Hydraulics   Specialized Subjects

  • 2018   Introductory Seminar in Systems Engineering   Specialized Subjects

  • 2018   Risk Management   Specialized Subjects

  • 2018   Disaster Prevention Engineering   Specialized Subjects

  • 2017   Seminar in Environmental Information Modeling   Specialized Subjects

  • 2017   Seminar in Environmental Information Modeling   Specialized Subjects

  • 2017   Hydraulics   Specialized Subjects

  • 2017   Mathematical Analysis for Environmental Science B   Specialized Subjects

  • 2017   Seminar in Environmental Design Ⅱ   Specialized Subjects

  • 2017   Seminar in Environmental ModelingⅡ   Specialized Subjects

  • 2017   Seminar in Environmental TechnologyⅡ   Specialized Subjects

  • 2017   Risk Management   Specialized Subjects

  • 2017   Hydraulics   Specialized Subjects

  • 2017   NA   Specialized Subjects

  • 2017   Seminar in Environmental Information Modeling   Specialized Subjects

  • 2017   Seminar in Environmental Information Modeling   Specialized Subjects

  • 2016   Seminar in Environmental Information Modeling   Specialized Subjects

  • 2016   Seminar in Environmental Information Modeling   Specialized Subjects

  • 2016   Seminar in Environmental Design Ⅱ   Specialized Subjects

  • 2016   Seminar in Environmental ModelingⅡ   Specialized Subjects

  • 2016   Seminar in Environmental TechnologyⅡ   Specialized Subjects

  • 2016   Exercise in Environmental DesignⅠ   Specialized Subjects

  • 2016   Seminar in Environmental ModelingⅠ   Specialized Subjects

  • 2016   Seminar in Environmental Technology Ⅰ   Specialized Subjects

  • 2016   Risk Management   Specialized Subjects

  • 2016   Environmental Hydraulics   Specialized Subjects

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Satellite Courses

  • 2023   Regional Disaster Prevention in southern Osaka Prefecture   Cooperative Development Subjects

  • 2020   Heavy rain disaster and its preparation   Cooperative Development Subjects

Classes

  • 2023   Systems Engineering SeminarⅠA   Master's Course

  • 2023   Systems Engineering SeminarⅠB   Master's Course

  • 2023   Systems Engineering SeminarⅡA   Master's Course

  • 2023   Systems Engineering SeminarⅡB   Master's Course

  • 2023   Systems Engineering Project SeminarⅠA   Master's Course

  • 2023   Systems Engineering Project SeminarⅠB   Master's Course

  • 2023   Systems Engineering Project SeminarⅡA   Master's Course

  • 2023   Systems Engineering Project SeminarⅡB   Master's Course

  • 2023   Systems Engineering Advanced Seminar Ⅰ   Doctoral Course

  • 2023   Systems Engineering Advanced Seminar Ⅰ   Doctoral Course

  • 2023   Systems Engineering Advanced Seminar Ⅱ   Doctoral Course

  • 2023   Systems Engineering Advanced Seminar Ⅱ   Doctoral Course

  • 2023   Systems Engineering Advanced Research   Doctoral Course

  • 2023   Systems Engineering Advanced Research   Doctoral Course

  • 2023   Systems Engineering Global Seminar Ⅰ   Doctoral Course

  • 2023   Systems Engineering Global Seminar Ⅰ   Doctoral Course

  • 2023   Systems Engineering Global Seminar Ⅱ   Doctoral Course

  • 2023   Systems Engineering Global Seminar Ⅱ   Doctoral Course

  • 2022   Systems Engineering Global Seminar Ⅱ   Doctoral Course

  • 2022   Systems Engineering Global Seminar Ⅰ   Doctoral Course

  • 2022   Systems Engineering Advanced Research   Doctoral Course

  • 2022   Systems Engineering Advanced Seminar Ⅱ   Doctoral Course

  • 2022   Systems Engineering Advanced Seminar Ⅰ   Doctoral Course

  • 2022   Systems Engineering Project SeminarⅡB   Master's Course

  • 2022   Systems Engineering Project SeminarⅡA   Master's Course

  • 2022   Systems Engineering Project SeminarⅠB   Master's Course

  • 2022   Systems Engineering Project SeminarⅠA   Master's Course

  • 2022   Systems Engineering SeminarⅡB   Master's Course

  • 2022   Systems Engineering SeminarⅡA   Master's Course

  • 2022   Systems Engineering SeminarⅠB   Master's Course

  • 2022   Systems Engineering SeminarⅠA   Master's Course

  • 2021   Systems Engineering Global Seminar Ⅱ   Doctoral Course

  • 2021   Systems Engineering Global Seminar Ⅰ   Doctoral Course

  • 2021   Systems Engineering Advanced Research   Doctoral Course

  • 2021   Systems Engineering Advanced Seminar Ⅱ   Doctoral Course

  • 2021   Systems Engineering Advanced Seminar Ⅰ   Doctoral Course

  • 2021   Systems Engineering Project SeminarⅡB   Master's Course

  • 2021   Systems Engineering Project SeminarⅡA   Master's Course

  • 2021   Systems Engineering Project SeminarⅠB   Master's Course

  • 2021   Systems Engineering Project SeminarⅠA   Master's Course

  • 2021   Systems Engineering SeminarⅡB   Master's Course

  • 2021   Systems Engineering SeminarⅡA   Master's Course

  • 2021   Systems Engineering SeminarⅠB   Master's Course

  • 2021   Systems Engineering SeminarⅠA   Master's Course

  • 2020   Systems Engineering Global Seminar Ⅱ   Doctoral Course

  • 2020   Systems Engineering Global Seminar Ⅰ   Doctoral Course

  • 2020   Systems Engineering Advanced Research   Doctoral Course

  • 2020   Systems Engineering Advanced Seminar Ⅱ   Doctoral Course

  • 2020   Systems Engineering Advanced Seminar Ⅰ   Doctoral Course

  • 2020   Systems Engineering Project SeminarⅡB   Master's Course

  • 2020   Systems Engineering Project SeminarⅡA   Master's Course

  • 2020   Systems Engineering Project SeminarⅠB   Master's Course

  • 2020   Systems Engineering Project SeminarⅠA   Master's Course

  • 2020   Systems Engineering SeminarⅡB   Master's Course

  • 2020   Systems Engineering SeminarⅡA   Master's Course

  • 2020   Systems Engineering SeminarⅠB   Master's Course

  • 2020   Systems Engineering SeminarⅠA   Master's Course

  • 2019   Systems Engineering Advanced Seminar Ⅱ   Doctoral Course

  • 2019   Systems Engineering Advanced Seminar Ⅱ   Doctoral Course

  • 2019   Systems Engineering Advanced Seminar Ⅰ   Doctoral Course

  • 2019   Systems Engineering Advanced Seminar Ⅰ   Doctoral Course

  • 2019   Systems Engineering Advanced Research   Doctoral Course

  • 2019   Systems Engineering Advanced Research   Doctoral Course

  • 2019   Systems Engineering SeminarⅡB   Master's Course

  • 2019   Systems Engineering SeminarⅡA   Master's Course

  • 2019   Systems Engineering SeminarⅠB   Master's Course

  • 2019   Systems Engineering SeminarⅠA   Master's Course

  • 2019   Systems Engineering Global Seminar Ⅱ   Doctoral Course

  • 2019   Systems Engineering Project SeminarⅡB   Master's Course

  • 2019   Systems Engineering Project SeminarⅡA   Master's Course

  • 2019   Systems Engineering Project SeminarⅠB   Master's Course

  • 2019   Systems Engineering Project SeminarⅠA   Master's Course

  • 2018   Systems Engineering Advanced Research   Doctoral Course

  • 2018   Systems Engineering Advanced Research   Doctoral Course

  • 2018   Systems Engineering Advanced Seminar Ⅱ   Doctoral Course

  • 2018   Systems Engineering Advanced Seminar Ⅱ   Doctoral Course

  • 2018   Systems Engineering Advanced Seminar Ⅰ   Doctoral Course

  • 2018   Systems Engineering Advanced Seminar Ⅰ   Doctoral Course

  • 2018   Systems Engineering Project SeminarⅡB   Master's Course

  • 2018   Systems Engineering Project SeminarⅡA   Master's Course

  • 2018   Systems Engineering Project SeminarⅠB   Master's Course

  • 2018   Systems Engineering Project SeminarⅠA   Master's Course

  • 2018   Systems Engineering SeminarⅡB   Master's Course

  • 2018   Systems Engineering SeminarⅡA   Master's Course

  • 2018   Systems Engineering SeminarⅠB   Master's Course

  • 2018   Systems Engineering SeminarⅠA   Master's Course

  • 2017   Systems Engineering Advanced Research   Doctoral Course

  • 2017   Systems Engineering Advanced Research   Doctoral Course

  • 2017   Systems Engineering Advanced Seminar Ⅱ   Doctoral Course

  • 2017   Systems Engineering Advanced Seminar Ⅱ   Doctoral Course

  • 2017   Systems Engineering Advanced Seminar Ⅰ   Doctoral Course

  • 2017   Systems Engineering Advanced Seminar Ⅰ   Doctoral Course

  • 2017   Systems Engineering Project SeminarⅡB   Master's Course

  • 2017   Systems Engineering Project SeminarⅡA   Master's Course

  • 2017   Systems Engineering Project SeminarⅠB   Master's Course

  • 2017   Systems Engineering Project SeminarⅠA   Master's Course

  • 2017   Systems Engineering SeminarⅡB   Master's Course

  • 2017   Systems Engineering SeminarⅡA   Master's Course

  • 2017   Systems Engineering SeminarⅠB   Master's Course

  • 2017   Systems Engineering SeminarⅠA   Master's Course

  • 2017   Systems Engineering SeminarⅡA   Master's Course

  • 2017   Systems Engineering SeminarⅠA   Master's Course

  • 2016   Systems Engineering Advanced Research   Doctoral Course

  • 2016   Systems Engineering Advanced Research   Doctoral Course

  • 2016   Systems Engineering Advanced Seminar Ⅱ   Doctoral Course

  • 2016   Systems Engineering Advanced Seminar Ⅱ   Doctoral Course

  • 2016   Systems Engineering Advanced Seminar Ⅰ   Doctoral Course

  • 2016   Systems Engineering Advanced Seminar Ⅰ   Doctoral Course

  • 2016   Systems Engineering Project SeminarⅡB   Master's Course

  • 2016   Systems Engineering Project SeminarⅡA   Master's Course

  • 2016   Systems Engineering Project SeminarⅠB   Master's Course

  • 2016   Systems Engineering Project SeminarⅠA   Master's Course

  • 2016   Systems Engineering SeminarⅡB   Master's Course

  • 2016   Systems Engineering SeminarⅡA   Master's Course

  • 2016   Systems Engineering SeminarⅠB   Master's Course

  • 2016   Systems Engineering SeminarⅠA   Master's Course

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Research Interests

  • Inundation Analysis

  • Simulation

  • GIS

  • Tsunami

  • Runoff Analysis

  • Disaster waste

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Published Papers

  • Urban Flood Runoff Modeling in Japan: Recent Developments and Future Prospects

    Akira Kawamura, Hideo Amaguchi, Jonas Olsson, Hiroto Tanouchi

    Water ( MDPI AG )  15 ( 15 ) 2733 - 2733   2023.07  [Refereed]

     View Summary

    Since the 20th century, Japan has experienced a period of very rapid urbanization. Cities have experienced substantial densification and expansion, resulting in gradually elevated flood risk. Urban flooding has also occurred in most large cities in Japan, particularly in Tokyo. In response to this growing problem, much effort and resources have been spent on research and development aimed at understanding, simulating, and managing urban flood risk in Japan. The objective of this review is to summarize, discuss, and share key outputs from some of the main research directions in this field, significant parts of which have been uniquely developed in Japan and only published in Japanese. After a general introduction to urban runoff modeling, in the next section, key historical works in Japan are summarized, followed by a description of the situation in Japan with respect to observations of precipitation and water level. Then, the storage function model approach is reviewed, including an extension to urban basins, as well as recent experiments with AI-based emulation in Japanese basins. Subsequently, we review the prospects of detailed hydrodynamic modeling involving high-resolution, vector-based Geographical Information System (GIS) data for the optimal description of the urban environment with applications in Tokyo. We conclude the paper with some future prospects related to urban flood risk modeling and assessment in Japan.

    DOI

  • AN IMMEDIATE PREDICTION SYSTEM OF DISASTER WASTE QUANTITY, QUANTITY AND SPATIAL DISTRIBUTION GENERATED BY INUNDATION

    Hiroto TANOUCHI, Takayuki SAKAI, Yoshikazu OTSUKA, Masaki NAKANO (Part: Lead author, Corresponding author )

    Japanese Journal of JSCE ( Japan Society of Civil Engineers )  80 ( 22 ) 1 - 11   2024.03  [Refereed]

    DOI

  • A Transfer Learning Approach Based on Radar Rainfall for River Water-Level Prediction

    Futo Ueda, Hiroto Tanouchi, Nobuyuki Egusa, Takuya Yoshihiro

    Water ( MDPI AG )  16 ( 4 ) 607 - 607   2024.02  [Refereed]

     View Summary

    River water-level prediction is crucial for mitigating flood damage caused by torrential rainfall. In this paper, we attempt to predict river water levels using a deep learning model based on radar rainfall data instead of data from upstream hydrological stations. A prediction model incorporating a two-dimensional convolutional neural network (2D-CNN) and long short-term memory (LSTM) is constructed to exploit geographical and temporal features of radar rainfall data, and a transfer learning method using a newly defined flow–distance matrix is presented. The results of our evaluation of the Oyodo River basin in Japan show that the presented transfer learning model using radar rainfall instead of upstream measurements has a good prediction accuracy in the case of torrential rain, with a Nash–Sutcliffe efficiency (NSE) value of 0.86 and a Kling–Gupta efficiency (KGE) of 0.83 for 6-h-ahead forecast for the top-four peak water-level height cases, which is comparable to the conventional model using upstream measurements (NSE = 0.84 and KGE = 0.83). It is also confirmed that the transfer learning model maintains its performance even when the amount of training data for the prediction site is reduced; values of NSE = 0.82 and KGE = 0.82 were achieved when reducing the training torrential-rain-period data from 12 to 3 periods (with 105 periods of data from other rivers for transfer learning). The results demonstrate that radar rainfall data and a few torrential rain measurements at the prediction location potentially enable us to predict river water levels even if hydrological stations have not been installed at the prediction location.

    DOI

  • ワダイの防災ジオツアーの展開—A Development on Geo-Tour for Disaster Prevention

    田内 裕人, 後 誠介, 江種 伸之

    和歌山大学災害科学・レジリエンス共創センター年報 ( 和歌山大学災害科学・レジリエンス共創センター )  1   32 - 35   2021.07

    DOI

  • A NUMERICAL SIMULATION OF DISASTER WASTE DISPOSAL IN WAKAYAMA CITY BY USING DHT MODEL

    Soichiro ASAI, Tatsuya AKIYAMA, Hiroto TANOUCHI, Nobuyuki EGUSA (Part: Corresponding author )

    International Journal of GEOMATE   20 ( 80 ) 23 - 28   2021.02  [Refereed]

  • QUANTITATIVE EVALUATION OF WATER POLLUTANT LOAD FROM KINOKAWA RIVER BASIN BY HIGH-FREQUENCY WATER QUALITY OBSERVATION

    Hiroto Tanouchi, Akihisa Imoto, Kouichi Ishiura, Nobuyuki Egusa (Part: Lead author, Corresponding author )

    INTERNATIONAL JOURNAL OF GEOMATE ( GEOMATE INT SOC )  18 ( 66 ) 105 - 110   2020.02  [Refereed]

     View Summary

    In the Kinokawa river basin, as same as other watersheds around the world, excess runoff of nutrients to the ocean mainly due to human activities has become an environmental issue. This study conducted high-frequency total nitrogen (TN) and total phosphorus (TP) monitoring at several monitoring posts set downstream of the Kinokawa river in the Kii peninsula, Japan in order to evaluate water pollutant load from the basin quantitatively. The water sampling has been conducted about 90 times for over a year from May in 2018 at the monitoring posts. In the calm or the drought periods, TN and TP concentrations at Kinokawa river mouth were basically about 0.8 similar to 1.1 mg/L and under 0.05 mg/L, respectively. However, TN concentrations was exceeded 5.0 mg/L after one of the most intense storms, it was shown the TN concentration had a tendency extremely to rise rapidly in flooding condition. This tendency was similar in TP. The result of pollutant load analysis showed that 65% of the nitrogen load and 80 % of the phosphorus load from the basin was generated during a few and heavy flooding which were included in 5 % flow exceedance probability. These results imply it is essential that to understand and to predict how nutrients runoff in short-term during flooding events in order to accurately grasp long-term nutrient runoff amount.

    DOI

  • Improving Urban Runoff in Multi-Basin Hydrological Simulation by the HYPE Model Using EEA Urban Atlas: A Case Study in the Sege River Basin, Sweden

    Hiroto Tanouchi, Jonas Olsson, Goran Lindstrom, Akira Kawamura, Hideo Amaguchi (Part: Lead author, Corresponding author )

    HYDROLOGY ( MDPI )  6 ( 1 )   2019.03  [Refereed]

     View Summary

    In this study, the high-resolution polygonal land cover data of EEA Urban Atlas was applied for land-use characterization in the dynamic multi-basin hydrological model, HYPE. The objective of the study was to compare this dedicated urban land cover data in semi-distributed hydrological modelling with the widely used but less detailed EEA CORINE. The model was set up for a basin including a small town named Svedala in southern Sweden. In order to verify the ability of the HYPE model to reproduce the observed flow rate, the simulated flow rate was evaluated based on river flow time series, statistical indicators and flow duration curves. Flow rate simulated by the model based on Urban Atlas generally agreed better with observations of summer storm events than the CORINE-based model, especially when the daily rainfall amount was 10 mm/day or more, or the flow exceedance probability was 0.02 to 0.5. It suggests that the added value of the Urban Atlas model is higher for heavy-to-medium storm events dominated by direct runoff. To conclude, the effectiveness of the proposed approach, which aims at improving the accuracy of hydrological simulations in urbanized basins, was supported.

    DOI

  • DEVELOPMENT OF A DISASTER WASTE DISPOSAL PLANNING MODEL AIMING AT SUPPORTING OF APPROPRIATE DECISION OF DISASTER WASTE TREATMENT

    SAKAGUCHI Naoya, TANOUCHI Hiroto, EGUSA Nobuyuki, OTSUKA Yoshikazu (Part: Corresponding author )

    Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research) ( Japan Society of Civil Engineers )  74 ( 5 ) 195 - 202   2018  [Refereed]

     View Summary

     In order to support planning of disaster waste disposal, a numerical model simulating disaster waste transportation and disposal was developed. The proposed model tracks the movement of disaster waste between originating region, temporary storage areas and final disposal site. A crushing/classification process at temporary storage areas, Number of vehicle as a carrier, transit route, a capacity of temporary storage areas and final disposal site are freely settable in the model. The model was applied for a city in Mie prefecture aiming at evaluating of actual disaster waste disposal plan at the time of the occurrence of Nankai Trough earthquake. The result of simulation indicated that a number of crushing/classification equipment and workers were required in order to execute disaster waste disposal.

    DOI

  • APPLICATION OF THE HYPE MODEL FOR KINOKAWA RIVER BASIN AIMING AT WATER AND NUTRIENT RUNOFF ANALYSIS

    TANOUCHI Hiroto, NAKAMURA Makoto, NAKAMURA Yuki, EGUSA Nobuyuki (Part: Lead author, Corresponding author )

    Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research) ( Japan Society of Civil Engineers )  74 ( 5 ) 223 - 232   2018  [Refereed]

     View Summary

     HYPE(hydrological predictions for the environment) model was applied for Kinokawa river basin in order to evaluate an applicability of HYPE for Japanese watershed. Firstly, a fundamental HYPE in Kinokawa was constructed by using landuse, soil, topology information based on Swedish HYPE. Secondly, a calibration based on Markov Chain Monte Carlo method was performed in order to improve prediction accuracy of Kinokawa river flow rate. Then, point and non-point sources of nitrogen and phosphorus were implemented aming at runoff analysis. According to the comparison of simulated and observed nutrient load, it was shown that the accuracy of nutrient load predicted by HYPE was reasonable. In conclusion, it was suggested that HYPE was available for Japanese watershed aiming at water and nutrient runoff analysis.

    DOI

  • AN ANALYSIS OF LANDSLIDE DISASTER INSENTIVES OCCURRED IN TYPHOON NO. 12 IN 2011 ON THE POINT OF VIEW FROM RAINFALL PATTERN AND SOIL WATER INDEX

    TANOUCHI Hiroto, NAKAMURA Makoto, EGUSA Nobuyuki, HIRATA Tatemasa (Part: Lead author )

    Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) ( Japan Society of Civil Engineers )  73 ( 4 ) I_1243 - I_1248   2017  [Refereed]

     View Summary

     This study analized the casuses of landslide disasters occurred in typhoon no. 12 in 2011 on the point of view from rainfall pattern and soil water index(SWI) utilized for landslide forecasting by Japan Meteorological Agency. The results demonstrated followings: Fistly, SWIs showed the similar values regardless of geological charactersistics, rainfall pattern and types of landslide disaster such as debris flow and deep-seated landslide. Secondly, all SWIs at originating points of landslides exceeded the highest SWIs of past rainfall events. Thirdly, SWIs at the spots of debris flow rapidly increased immediately after exceeding the highest SWI due to torrential downpour, the augmentation of SWIs arised from increase of first tank's strage quantity. Finally, SWIs at the spots of deep-seated landslide usually increased gradually by the increase of total strage quantity of second and third tank. These results suggest that monitoring SWI may provide useful input to predict landslide disaster.

    DOI

  • EVALUATION OF LANDSLIDE DISASTER BY PSEUDO GLOBAL WARMING EXPERIMENT RAINFALL AND SOIL WATER INDEX ON SHINGU RIVER BASIN, WAKAYAMA WITH TYPHOON T1204

    NISHIOKA Seigo, KOBAYASHI Kenichiro, OKU Yuichiro, EGUSA Nobuyuki, TANOUCHI Hiroto

    Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) ( Japan Society of Civil Engineers )  73 ( 4 ) I_187 - I_192   2017  [Refereed]

     View Summary

    &nbsp;Shingu river basin has been damaged with inundation and landslide disasters by frequently occuring rainfalls due to typhoons near Kii peninsula. These damages may become stronger owing to a climate change, thus we need counter-measures to control the damage for the future.<br>&nbsp;In this paper, we first try to reproduce the cumulative rainfall distribution of T1204 by WRF focusing on Shingu river basin. Then, we carried out the pseudo global warming experiment. Finally, the potential area of the landslide disaster was investigated using soil water index based on tank model concept and simulated rainfalls. As the result, it was demonstrated that the proposed method can identify the potential landslide area on some level. The paper briefly summarizes these analysis.

    DOI

  • EFFECT OF <i>IN-SITE</i> BIOREMEDIATION IN AN AQUIFER CONTAMINATED BY A LARGE VARIETY OF VOLATILE ORGANIC COMPOUNDS

    FUKUNAGA Shota, TANOUCHI Hiroto, EGUSA Nobuyuki, HIRATA Tatemasa, KAWAMOTO Katsuya

    Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) ( Japan Society of Civil Engineers )  73 ( 4 ) I_61 - I_66   2017  [Refereed]

     View Summary

    &nbsp;A large variety of volatile organic compounds (VOCs) as chlorinated ethylenes, chlorinated ethanes, chlorinated methanes and benzene were detected in an aquifer at an illegal dumping site. In-situ bioremediation using anaerobic degradation and reductive dechlorination was applied in this site. The aim of this study is to estimate the effect of the <i>in-site</i> bioremediation targeted at VOCs, especially dichloromethane (DCM) and benzene under anaerobic conditions by using numerical simulation. As a result, degradation rates of VOCs were several to several ten times larger than one's of under natural aquifer conditions. Especially the degradation rates of DCM and benzene were also several to several ten times than those of under natural aquifer conditions. This finding provides evidences that it was possible to purify DCM and benzene by anaerobic bioremediation.

    DOI

  • Assessing impervious area ratios of grid-based land-use classifications on the example of an urban watershed

    Tatsuya Koga, Akira Kawamura, Hideo Amaguchi, Hiroto Tanouchi

    HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES ( TAYLOR & FRANCIS LTD )  61 ( 9 ) 1728 - 1739   2016.07  [Refereed]

     View Summary

    When applying a distributed hydrological model in urban watersheds, grid-based land-use classification data with 10m resolution are typically used in Japan. For urban hydrological models, the estimation of the impervious area ratio (IAR) of each land-use classification is a crucial factor for accurate runoff analysis. In order to assess the IAR accurately, we created a set of vector-based urban landscape GIS delineation data for a typical urban watershed in Tokyo. By superimposing the vector-based delineation map on the grid-based map, the IAR of each grid-based land-use classification was estimated, after calculating the IARs of all grid cells in the entire urban watershed. As a result, we were able to calculate the frequency distribution of IAR for each land-use classification, as well as the spatial distribution of IARs for the urban watershed. It is evident from the results that the reference values of IAR for the land-use classifications were estimated very roughly and inherited errors of between about 7% and 70%, which corresponds to more than 100mm increase of direct runoff for the 1500mm annual average precipitation.

    DOI

  • A STUDY ON HYPE MODEL APPLICATION CONSIDERING IMPERVIOUS SURFACE IN URBANIZED WATERSHED

    TANOUCHI Hiroto, KAWAMURA Akira, AMAGUCHI Hideo, OLSSON Jonas (Part: Lead author, Corresponding author )

    Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research) ( Japan Society of Civil Engineers )  72 ( 5 ) I_21 - I_26   2016  [Refereed]

     View Summary

    &nbsp;To improve a precision of flow rate forecasting, water quantity model set-up in consideration of impervious surface is effective. In this study, flow rates forcasting calculated by a dynamic water quality and quantity model, HYPE model incorporating hydrological characteristics on impervious surface were verified. Firstly, a method to set up HYPE model by using a precise land cover data storaging impervious property named Urban Atlas was reviewed. Then, HYPE model were set up with a small and a large scale watersheds. Finally, model performance were evaluated by a comparison between model forcasting and flow rate observation. Evidences show that although proposed HYPE model could be applied water quantity forcasting regardless of catchment special size basically, it was shown that proposed HYPE model has a tendency to underestimate flood concentration time under heavy storm event.

    DOI

  • STUDY ON A PRECISION IMPROVEMENT OF RUNOFF PREDICTION BY HYPE MODEL USING POLYGONAL IMPERVIOUS AREA RATIO DATA IN AN URBANIZED AREA

    TANOUCHI Hiroto, KAWAMURA Akira, AMAGUCHI Hideo, OLSSON Jonas (Part: Lead author, Corresponding author )

    Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) ( Japan Society of Civil Engineers )  72 ( 4 ) I_427 - I_432   2016  [Refereed]

     View Summary

    &nbsp;A HYPE (HYdrological Prediction for the Environment) model considering impervious land cover in an urbanized watershed is set up to improve prediction precision of storm runoff. The set-up of the model is based on the Urban Atlas that is polygonal land cover data with impervious information. Firstly accurate impervious area ratios in a target watershed are calculated using the Urban Atlas, and the ratios are set to the HYPE model. Secondly, appropriate parameters to describe hydrological property in an urbanized area are implemented for the HYPE model. The model was applied for the watershed including urbanized area of Svedala, Sweden. It was demonstrated that impervious information obtained by polygonal impervious area ratio data contributed precision improvement of runoff prediction by HYPE model in urbanized area.

    DOI

  • Automated Construction Method of Polygonal Blocks for an Urban Watershed

    TANOUCHI Hiroto, AMAGUCHI Hideo, KAWAMURA Akira, KOGA Tatsuya, HAGIWARA Youichi (Part: Lead author, Corresponding author )

    JOURNAL OF JAPAN SOCIETY OF HYDROLOGY AND WATER RESOURCES ( THE JAPAN SOCIETY OF HYDROLOGY AND WATER RESOURCES )  28 ( 6 ) 298 - 303   2015  [Refereed]

     View Summary

    &emsp;This study developed a new automated construction method of polygonal blocks using road boundary lines with gaps. Polygonal block data are often used in studies of numerical simulation models for rainfall–runoff and flood inundation analysis. In the developed method, connected boundary lines of a street are first merged into boundary polylines. Secondly, directions of boundary polylines are aligned in a clockwise rotation. Next, gaps of boundary polylines are complemented recursively with straight lines. Finally, the areas enclosed by boundary polylines and complemented lines are output as polygonal blocks. This method was applied for the Kanda catchment. Then the shapes of polygonal blocks were validated. Results show that polygonal blocks can be created using the method outlined herein with few failures.

    DOI

  • ESTIMATION OF EVAPOTRANSPIRATION AND LAND-SURFACE TEMPERATURE FOR EACH LAND USE TYPE IN THE UPPER KANDA RIVER WATERSHED

    KOGA Tatsuya, KAWAMURA Akira, AMAGUCHI Hideo, TANOUCHI Hiroto

    Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research) ( Japan Society of Civil Engineers )  71 ( 5 ) I_311 - I_317   2015  [Refereed]

     View Summary

    &nbsp;In this study, an evapotranspiration model that can express the amount of evapotranspiration accounting for differences in soil moisture and permeation characteristics of individual land-surface features is proposed. The model is composed of two components; the pervious area model based on SMPT model to represent the permeation process of the surface soil, and the impervious area model considering depression storage in impervious areas. Furthermore, the pervious area model takes into account the state of the soil moisture and differences in land use of the land-surface features, and estimates the latent and sensible heat using a heat balance equation based on the bulk formula. The model was applied to the highly urbanized upper Kanda River watershed, and the impacts of differences in land use on the spatial distribution of evapotranspiration and land-surface temperature was analyzed.

    DOI

  • Study on an Automated Construction Method of Minute Road Segments aiming at Urban Storm Runoff Analysis

    TANOUCHI Hiroto, AMAGUCHI Hideo, KAWAMURA Akira, NAKAGAWA Naoko, KOGA Tatsuya (Part: Lead author, Corresponding author )

    Theory and Applications of GIS ( Geographic Information Systems Association )  22 ( 2 ) 93 - 102   2014  [Refereed]

     View Summary

    <p>In this study, a new automated construction method of minute road segments is developed. Numerical simulation models for rainfall-runoff and flood inundation model considering process on roads were based on so-called "Minute road segments" that are formed as simple shape polygons to calculate the flow on roads. In the developed method, firstly crossroads are demarcated from road sections of uninterrupted flow in order to simplify a polygon of road. Secondly road sections and crossroads are divided into minute road segments. The developed method was applied for Kanda catchment and the shapes of minute road segments were validated.It was demonstrated that minute road segments can be created by using the method of this study.</p>

    DOI

  • STUDY ON AN AUTOMATED CONSTRUCTION METHOD OF ROAD NETWORK DATA BASED ON PROPERTIES OF URBAN ROAD SHAPE

    TANOUCHI Hiroto, AMAGUCHI Hideo, KAWAMURA Akira, KOGA Tatsuya, HAGIWARA Youichi (Part: Lead author, Corresponding author )

    Journal of Japan Society of Civil Engineers, Ser. F3 (Civil Engineering Informatics) ( Japan Society of Civil Engineers )  70 ( 2 ) I_115 - I_122   2014  [Refereed]

     View Summary

    &nbsp;In this study, a new automated construction method of road network data is developed. Road network data is often utilized in studies of numerical simulation models for traffic, rainfall-runoff and flood inundation analysis. In the developed method, firstly crossroads are demarcated from road sections of uninterrupted flow in order to simplify a polygon of road. Secondly road centerlines of road sections and crossroads are generated separately. The developed method was applied for Kanda catchment and the shapes of road network data were validated. It was demonstrated that road network data can be created by using the method of this study without a correction.

    DOI

  • DEVELOPMENT OF AN AUTOMATED CONSTRUCTION ALGORITHM OF ADVANCED DELINEATION GIS DATA USING 1:2500 TOPOLOGICAL MAP

    TANOUCHI Hiroto, AMAGUCHI Hideo, KAWAMURA Akira, NAKAGAWA Naoko (Part: Lead author, Corresponding author )

    Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) ( Japan Society of Civil Engineers )  69 ( 4 ) I_523 - I_528   2013  [Refereed]

     View Summary

    In recent years, the use of advanced delineation GIS data (ADGD) has become invaluable in studies that require accurate spatial distribution of land use. However, the preparation of ADGD, especially for urban catchment areas, is often tedious, time consuming and prone to errors, since these are mostly constructed manually using a digitized map. In this study, a computer algorithm (automated construction algorithm) was developed to automatically construct ADGD from a digitized 1:2500 topological map, using only geographical point features and geographic object boundaries that have land use attributes. A portion of the digitized map of the Kanda River basin was used to examine the accuracy of the newly developed algorithm. Evidences show that this algorithm can generate similar to more accurate geographical features when compared with the manual approach. The automated construction algorithm, thus, provide an accurate and efficient alternative in constructing ADGD, which can benefit future GIS-related studies.

    DOI

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Misc

  • A spontaneously disaster evacuation drill for Tsunami by imitating a game of tag

    Hiroto Tanouchi, Tomomi Nakano, Nobuyuki Egusa (Part: Lead author )

    GEOMATE2023 Mie Fullpaper     2023.11  [Refereed]

  • 災害廃棄物処理の初動支援を目的とした発生量・空間分布・組成の推定システム

    田内裕人, 酒井崇之, 大塚義一, 中野正樹 (Part: Lead author )

    第48回土木情報学シンポジウム講演集     2023.09

  • River Water Level Prediction Using Radar Rainfall with Deep Learning

    Futo Ueda, Hiroto Tanouchi, Nobuyuki Egusa, Takuya Yoshihiro

    17th International Workshop on Informatics (IWIN 2023)     2023.09  [Refereed]

  • 災害廃棄物処理プロセスの最適化を導入した災害廃棄物処理実行計画作成支援システムの開発

    中野正樹, 田内裕人, 酒井崇之, 大塚義一, 加藤雅彦, 高井敦史, 佐々木秀幸

    第15回環境地盤工学シンポジウム論文集     2023.06  [Refereed]

  • 和歌山県日高川町弥谷地区において昭和の紀伊半島大水害時に発生した土砂災害とその伝承

    秋山 晋二, 谷垣 勝久, 田内 裕人, 後 誠介

    日本応用地質学会研究発表会     2022.10

  • 和歌山県愛賀合地区の断層破砕帯で発生した斜面崩壊と地すべり

    谷垣勝久, 秋山晋二, 辻野裕之, 矢野晴彦, 石田優子, 田内裕人, 江種伸之, 後誠介

    Kansai Geo-Symposium 2022     2022.09  [Refereed]

  • 風水害で発生した土砂混合廃棄物の物性および木片混入分別土のせん断挙動の把握

    津田雅仁, 中野正樹, 酒井崇之, 高井敦史, 加藤 雅彦, 田内裕人, 大塚 義一

    第57回地盤工学研究発表会   21-3-2-01   2022

  • A Development on Geo-Tour for Disaster Prevention

    田内裕人, 後誠介, 江種伸之

    和歌山大学災害科学・レジリエンス共創センター年報(Web)   1   2021

  • 1953年の7.18水害を対象とした斜面崩壊の素因分析

    田内裕人, 藤田三四郎, 江種伸之 (Part: Lead author )

    第9回 土砂災害に関するシンポジウム論文集   9   13 - 18   2018.09  [Refereed]

  • DEVELOPMENT OF DISASTER PREVENTION GEOTOURISM IN NANKI KUMANO GEOPARK

    本塚 智貴, 田内 裕人, 江種 伸之, 後 誠介

    和歌山大学災害科学教育研究センター研究報告 = Research reports of the Center for Education and Research of Disaster Science, Wakayama University ( 和歌山大学災害科学教育研究センター )  2   15 - 20   2018.03

     View Summary

    本稿ではワダイの防災ジオツアー分析および和歌山大学観光学部学生へのアンケート調査から,ワダイの防災ジオツアーの取り組みの展開可能性と今後の課題について整理する.モニターツアーの分析からは,防災ジオツアーが多世代や家族内で防災について考えるきっかけとなる可能性が確認された.防災ジオツアーを継続的に実施していくためには,ツーリズムとしての価値を高めツアー単価を上げていくことや土産物販売などの波及効果から利益を得ることも必要である.また,防災ジオツアーが企画に関わった南紀熊野ジオパークガイドの次の活動や地域活動にも波及していることが明らかとなり,ツアー単体ではなく地域の防災活動の展開に寄与していることも確認できた.和歌山大学観光学部学生のアンケートからは,若い世代の参加が少ないといった課題に対して,観光を学ぶ学生視点の前向きな提案が集められた.

    DOI

  • MAXIMIZING ORDINARY LOCATION ENVIRONMENT AND ECOSYSTEM OF SUBURBAN UNIVERSITY WITH CUT-FILL LAND DEVELOPMENT IN JAPAN FOR DISASTER PREVENTION RESEARCH AND EDUCATION : A CASE IN WAKAYAMA UNIVRSIT

    原 祐二, 田内 裕人

    和歌山大学災害科学教育研究センター研究報告 = Research reports of the Center for Education and Research of Disaster Science, Wakayama University ( 和歌山大学災害科学教育研究センター )  2   50 - 54   2018.03

     View Summary

    1980年代バブル経済による中心市街地の地価高騰に対応して,多くの大学キャンパスが郊外丘陵・山地に移転した.新キャンパスは切り盛り地形改変を伴う土地造成により建設された.誘発された周辺宅地開発とあわせ,従前の地域生態系を劣化させた.その後の景気低迷により開発圧が低下する中,郊外キャンパスは里山管理の担い手供給源としての価値も認められる.本報告では,和歌山市郊外の和泉山脈山麓に立地する和歌山大学栄谷キャンパスにおいて,和歌山大学システム工学部学生を主な対象に,キャンパスの立地環境を活用した防災・生態系実習の取り組み内容と経緯を紹介する.GISを活用した新旧地形図比較による土地造成の定量化,UAV(ドローン)を用いた地形変化量の計測,植生調査による環境負荷の計量を通じ,地域生態系を防災・環境の観点から評価するものである.これらの実習成果を時系列で蓄積していくことで,地域生態系モニタリング研究の一助ともなることが期待される.

    DOI

  • 南紀熊野ジオパークにおける防災ジオツアーの展開

    本塚智貴, 本塚智貴, 田内裕人, 江種伸之, 後誠介

    和歌山大学災害科学教育研究センター研究報告(Web)   2   2018

  • 平成23年台風12号に伴う熊野那智大社裏山の斜面崩壊・土石流の実態

    矢野晴彦, 辻野裕之, 谷垣勝久, 石田優子, 後誠介, 田内裕人, 本塚智貴, 江種伸之

    Kansai Geo-Symposium 2017論文集     250 - 253   2017.10  [Refereed]

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Awards & Honors

  • Best Paper Award

    Winner: Futo Ueda, Hiroto Tanouchi, Nobuyuki Egusa, and Takuya Yoshihiro

    2023.10   IWIN 2023   River Water Level Prediction Using Radar Rainfall with Deep Learning

  • 関西支部 社会貢献賞

    Winner: 矢野晴彦, 辻野裕之, 谷垣勝久, 石田優子, 田内裕人, 本塚智貴, 江種伸之

    2018.02   地盤工学会   平成 23 年台風 12 号に伴う熊野那智退社裏山の斜面崩壊・土石流に関する 調査研究

  • 優秀ポスター賞

    Winner: 田内裕人, 天口英雄, 河村明

    2015.03   水文・水資源学会   個別建物を考慮した浸水解析格子の自動構築に関する一考察

Conference Activities & Talks

  • Possibility of Introducing Renewable Energy to in-situ Remediation Technology

    江種伸之, 田内裕人, 丸山裕嗣, 平田健正

    第26回水環境学会シンポジウム 土壌地下水汚染研究委員会企画セッション  2023.09  

  • レーダ雨量を用いた深層学習による増水時の河川水位予測の試み

    上田風斗, 田内裕人, 江種伸之, 吉廣卓哉

    第106回モバイルコンピューティングと新社会システム研究会 (MBL)  2023.02  

  • 災害廃棄物の収集運搬・処理連動モデルの基礎的性能の検証

    田内 裕人, 黒木 秀和, 岩下 将也, 大塚 義一, 中野 正樹

    第46回土木情報学シンポジウム  2021.09.25  

  • Pythonによる災害廃棄物の収集運搬・処理連動モデルのプロトタイプの開発

    田内裕人, 浅井惣一郎, 江種 伸之

    第45回土木情報学シンポジウム  2020.09.24  

  • 揮発性有機化合物に対する原位置浄化技術の環境負荷

    江種伸之, 田内裕人, 丸山裕嗣, 平田健正

    第23回日本水環境学会シンポジウム  2020.09  

  • A Study on Tn and Tp Runoff Characteristics in the Kinokawa River Basin Based on High-frequency Nutrient Monitoring

    Hiroto TANOUCHI, Akihisa IMOTO, Kouichi ISHIURA, Nobuyuki EGUSA

    AOGS 16th Annual Meeting  2019.07.30  

  • 全窒素・全リン高頻度観測による紀の川のHYPEモデルの流出予測精度の検証

    井本明久, 田内裕人, 江種伸之, 石浦洸一

    2019年度 土木学会関西支部 年次学術講演  2019.05.25  

  • 収集運搬車両と分別・破砕機器の特性を考慮した災害廃棄物の収集運搬・処理連動モデルによる解析の提案

    浅井惣一郎, 田内裕人, 江種伸之

    2019年度 土木学会関西支部 年次学術講演  2019.05.25  

  • An Analysis on Pollutant Loads in Kinokawa River Basin by Using Hydrological Prediction for the Environment (hype) Model

    Hiroto TANOUCHI, Akihisa IMOTO, Kouichi ISHIURA, Nobuyuki EGUSA

    AOGS 2018 15th annual meeting  2018.06  

  • TSRモデルによる浸水解析のための建物に着目した街区分割手法について

    太田遥, 天口英雄, 河村明, 田内裕人

    第45回 土木学会関東支部 技術研究発表会  2018.03  

  • 原位置バイオレメディエーションを適用した帯水層中における揮発性有機化合物の微生物分解効果

    福永翔太, 田内裕人, 江種伸之, 平田健正, 川本哲也

    第20回日本水環境学会シンポジウム講演集  2017.09.30  

  • 和歌山県新宮川流域における気候変動を考慮した浸水・土砂被害影響評価

    西岡誠悟, 小林健一郎, 奥勇一郎, 江種伸之, 田内裕人

    2017.09  

  • 災害廃棄物処理計画の策定支援を目的とした災害廃棄物収集運搬モデルの提案

    坂口直也, 田内裕人, 江種伸之, 大塚義一, 中野正樹

    土木学会全国大会 第72回年次学術講演会  2017.09  

  • Application Of The Hydrological Prediction For The Environment (Hype) Model For A Watershed Mixed Urban And Rural Area

    Hiroto TANOUCHI, Makoto NAKAMURA, Yuki NAKAMURA, Nobuyuki EGUSA, Jonas OLSSON, Akira KAWAMURA, Hideo AMAGUCHI

    AOGS 2017 14th annual meeting  2017.08  

  • 災害廃棄物収集運搬モデルを用いた災害廃棄物処理のシナリオ分析

    坂口 直也, 田内 裕人, 江種 伸之, 大塚 義一, 中野 正樹

    土木情報学シンポジウム講演集 = Proceedings of the symposium on civil engineering informatics  2017   土木学会

  • 平成23年台風12号により和歌山県東牟婁地域で発生した土砂災害の地理的特徴

    中村誠, 田内裕人, 江種伸之, 石田優子, 後誠介

    Kansai Geo-Symposium 2016論文集  2016.11  

  • 実効雨量および土壌雨量指数から見た平成23年台風12号による土砂災害現場の水文地質特性

    田内裕人, 江種伸之, 平田健正

    第8回土砂災害に関するシンポジウム論文集  2016.09  

  • 急傾斜地への都市化の進展と土砂災害の関連性に関する研究

    横山 勝英, 田内 裕人, 天口 英雄, 河村 明

    地球環境シンポジウム講演集  2016.08   土木学会

  • 都市流域の非構造格子モデルにおける街区内不整三角形格子の生成について

    太田遥, 田内裕人, 天口英雄, 河村明

    第43回土木学会関東支部技術研究発表会  2016.03  

  • 神田川上流域における道路ネットワークデータを活用した雨水管路網の流出特性評価

    北嶋駿一, 天口英雄, 河村明, 田内裕人

    第43回土木学会関東支部技術研究発表会  2016.03  

  • 道路ネットワークデータを活用した雨水管路網データ構築手法の提案

    雨宮尚広, 天口英雄, 河村明, 田内裕人

    第43回土木学会関東支部技術研究発表会  2016.03  

  • 都市部におけるポリゴン型土地被覆データを用いたHYPEモデルの流出予測精度評価

    萩原陽一, 河村明, 天口英雄, 田内裕人

    第43回土木学会関東支部技術研究発表会  2016.03  

  • 都市流域の道路形状に着目した微小道路要素の自動構築手法について

    解洋子, 河村明, 天口英雄, 田内裕人

    第42回土木学会関東支部技術研究発表会  2015.03  

  • 都市域の道路形状特性に着目した道路中心線の自動生成について

    萩原陽一, 河村明, 天口英雄, 田内裕人

    第42回土木学会関東支部技術研究発表会  2015.03  

  • HYPE model parameter identification for urban watersheds based on infiltration characteristics and geographic information: a preliminary study

    H. Tanouchi, J. Olsson, A. Kawamura

    Hydrologidagarna 2015  2015.03  

  • A study on an automated generation of calculation lattice for an inundation analysis considering individual buildings

    Tanouchi Hiroto, Amaguchi Hideo, Kawamura Akira

    Proceeding of Annual Conference  2015   THE JAPAN SOCIETY OF HYDROLOGY AND WATER RESOURCES

     View Summary

    In this study, a new automated construction method of polygonal calculation lattice based on individual buildings is developed. Building based polygonal calculation lattice is utilized in studies of numerical simulation models for flood inundation analysis considering process of individual building inundation. In the developed method, firstly buildings are simplified to combination of simple figure such as rectangles. Secondly occupied area of each building is calculated by generating skeleton of building. The developed method was applied for actual block including several buildings and the shapes of generated lattice were validated. It was demonstrated that generated lattice can be created based on individual buildings by using proposed method.

  • 道路形状特性に着目した新たな道路ネットワークデータの自動構築手法

    田内 裕人, 天口 英雄, 河村 明

    土木情報学シンポジウム講演集 = Proceedings of the symposium on civil engineering informatics  2014   土木学会

  • Permeation Characteristics of Advanced Delineation GIS Data using Topological Map in the Upper Kanda River Basin

    TANOUCHI HIROTO, KAWAMURA AKIRA, AMAGUCHI HIDEO, NAKAGAWA NAOKO

    Proceeding of Annual Conference  2013   THE JAPAN SOCIETY OF HYDROLOGY AND WATER RESOURCES

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    It is possible that we know the detail of urban land use using an&nbsp;Advanced delineation GIS data. And We tried to create Tokyo Storm Runoff Model using this GIS Data. This data was too hard to get. Because,in order to get An Advanced delineation GIS data, We needed a lot of hand works. This is the motivatin that we have been Developping an automated construction method of &nbsp;Advanced delineation GIS data. In our research, We checked the new auto-GIS construction method in terms of land use and each shape's geometry. But We haven't tried to use penetration characteristics to check the auto-made &nbsp;Advanced delineation GIS data. So, we try to use&nbsp;&nbsp;penetration characteristics to check it in this paper.<br>

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KAKENHI

  • 新旧歴史災害情報に基づく土砂災害の再現性に注目した素因・誘因分析

    2018.04
    -
    2021.03
     

    Grant-in-Aid for Scientific Research(C)  Co-investigator

Competitive funding, donations, etc. from foundation, company, etc.

  • システム工学部寄附金(株式会社奥村組技術本部)

    2024.08
     

    Contribution  Principal investigator

  • システム工学部寄附金(株式会社奥村組技術本部)

    2023.07
     

    Contribution  Principal investigator

Joint or Subcontracted Research with foundation, company, etc.

  • AI等の活用による災害廃棄物処理プロセスの最適化と処理計画・処理実行計画の作成支援システムの構築

    2020.04
    -
    2023.03
     

    Contracted research  Co-investigator

Instructor for open lecture, peer review for academic journal, media appearances, etc.

  • 浸水対策に関する有識者

    2023.09.25
    -
    2023.10.31

    和歌山市

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    防災

    浸水対策事業における意見聴取

  • 水工学講演会 座長

    2022.11

    土木学会水工学委員会

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    座長

    地下水セッションにおける座長

  • 和歌山県警の防災ジオツアー

    2022.10.07

    和歌山県警察

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    防災、豪雨災害、土砂災害、洪水

    職員の防災研修の一環として、上記日時、場所において、防災ジオツアー研修を依頼するもので、ツアー講師役をお願いします。

  • 第六回 ワダイの防災ジオツアー 「みだれた地形がおりなす地景 第二弾」

    2018.12

    和歌山大学、国土交通省近畿地方整備局

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    公開講座・講演会の企画・講師等

    土砂災害の調査研究により得られた研究成果や国土交通省近畿地方整備局の防災対策(河川整備計画や斜面崩壊対策など)について学ぶ場となるとともに,土地の成り立ちや災害への備えについて考える機会となり,災害や地域の歴史を正しく理解することを目標とする,日付:9

  • 学会誌の査読委員

    2018.04
    -
    Now

    水文・水資源学会

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    学術雑誌等の編集委員・査読・審査員等

    学会誌の査読委員

  • ワダイの防災カフェ

    2018.04

    和歌山大学、国土交通省近畿地方整備局

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    公開講座・講演会の企画・講師等

    防災啓発活動

  • 第五回 ワダイの防災ジオツアー 「みだれた地形がおりなす地景」

    2018.03

    和歌山大学、国土交通省近畿地方整備局

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    公開講座・講演会の企画・講師等

    和歌山大学災害科学教育研究センターと「想定外」豪雨による地盤災害への対応を考える調査研究委員会(地盤工学会,日本応用地質学会,関西地質調査業協会,中部地質調査業協会合同研究委員会)の調査研究により得られた研究成果や国土交通省近畿地方整備局の防災対策(河川整備計画や斜面崩壊対策など)について学ぶ,日付:17

  • ワダイの防災カフェ

    2017.04

    和歌山大学、国土交通省近畿地方整備局

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    公開講座・講演会の企画・講師等

    防災啓発活動

  • 色川の防災ジオツアー イシ・イジー石・遺史・意思・維持ー

    2017.03

    和歌山大学災害科学教育研究センター,国土交通省近畿地方整備局

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    公開講座・講演会の企画・講師等

    平成23年台風12号による豪雨と土砂災害で被害を受けた色川地区を中心に、調査研究で得られた成果・防災対策(砂防堰堤など)について、実際の土砂災害現場を巡りながら各専門家からご説明を行った。,日付:4日

  • ワダイの防災ジオツアー イシ・イジ 石・意思・遺史・維持

    2016.12

    和歌山大学災害科学教育研究センター,国土交通省近畿地方整備局

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    公開講座・講演会の企画・講師等

    平成23年台風12号による豪雨と土砂災害の被害について、調査研究で得られた成果や防災対策(砂防堰堤など)について、実際の土砂災害現場や被災地域にて各専門家から説明する防災ジオツアーの開催,日付:11日

  • ワダイの防災カフェ

    2016.04

    和歌山大学災害科学教育研究センター,国土交通省近畿地方整備局

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    公開講座・講演会の企画・講師等

    防災をテーマとしたサイエンスカフェの企画・運営

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Committee member history in academic associations, government agencies, municipalities, etc.

  • プログラムワーキンググループ リーダー

    2022.05
    -
    Now
     

    地盤工学会 地下水・土壌汚染とその防止対策に関する研究集会

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    学協会、政府、自治体等の公的委員

    研究集会の運営業務,任期:1年(自動的に毎年継続される)
    〇2022年度は、プログラムの募集、要綱作成、チェック、編集および公開のすべてを担うワーキングリーダーに着任し、業務を行った。

  • 査読者

    2022.04
     

    土木学会(水工学委員会、地球環境委員会)

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    査読

    2編の査読業務

  • 橋本市環境保全審議会

    2021.11.01
    -
    2023.10.30
     

    橋本市

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    環境保護、環境改善

    橋本市環境保全審議会は、橋本市環境保全条例第29条の規定に基づき設置されている市長の附属機関で、
    ①環境の保全に関する施策を総合的かつ計画的に実施するために橋本市環境基本計画を策定するとき
    ②県等から産業廃棄物処理施設の設置における意見照会があった場合
    に意見を求められ、健全で快適な環境の確保に関する基本的事項や重要事項を審議する委員のおひとりとしてお願いします。

  • 意見聴取

    2020.01
    -
    Now
     

    和歌山市企業局 浸水対策事業における意見聴取

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    国や地方自治体、他大学・研究機関等での委員

    意見聴取,任期:2020年1月~

  • 水文・水資源学会 査読編集委員

    2018.04
    -
    Now
     

    水文・水資源学会

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    水文・水資源学会 査読編集委員

    学会誌の査読編集委員を行った。