UNCERTAINTY OF REGIONAL CLIMATE MODEL AND IMPACT ASSESSMENT MODEL TOWARD CLIMATE CHANGE IMPACT ASSESSMENT
This study aims to reveal the uncertainty of regional climate model (RCM) and impact assessment model in climate change impact assessment study in local scale. Therefore, we made an attempt to evaluate the uncertainty of RCM and impact assessment model by using two types of runoff model (distributed...
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Veröffentlicht in: | Doboku Gakkai Ronbunshu. B1, Suikogaku = Journal of Japan Society of Civil Engineers. Ser. B1, Hydraulic Engineering Ser. B1 (Hydraulic Engineering), 2018, Vol.74(5), pp.I_109-I_114 |
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container_title | Doboku Gakkai Ronbunshu. B1, Suikogaku = Journal of Japan Society of Civil Engineers. Ser. B1, Hydraulic Engineering |
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creator | MARUYA, Yasuyuki HARADA, Morihiro ITO, Rui KAWASE, Hiroaki DAIRAKU, Koji SASAKI, Hidetaka |
description | This study aims to reveal the uncertainty of regional climate model (RCM) and impact assessment model in climate change impact assessment study in local scale. Therefore, we made an attempt to evaluate the uncertainty of RCM and impact assessment model by using two types of runoff model (distributed hydrological model (DHM) and storage function model (SFM)) and dynamical downscaling (DDS) experiments on selected past flood events. As the result, it is found that the difference of peak discharge between DHM and SFM is small except for DS5 km. In DS5 km, peak discharge of SFM overestimated DHM since heavy rainfall was occurred in around catchment and a part of catchment. |
doi_str_mv | 10.2208/jscejhe.74.5_I_109 |
format | Article |
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Therefore, we made an attempt to evaluate the uncertainty of RCM and impact assessment model by using two types of runoff model (distributed hydrological model (DHM) and storage function model (SFM)) and dynamical downscaling (DDS) experiments on selected past flood events. As the result, it is found that the difference of peak discharge between DHM and SFM is small except for DS5 km. In DS5 km, peak discharge of SFM overestimated DHM since heavy rainfall was occurred in around catchment and a part of catchment.</description><identifier>ISSN: 2185-467X</identifier><identifier>EISSN: 2185-467X</identifier><identifier>DOI: 10.2208/jscejhe.74.5_I_109</identifier><language>eng ; jpn</language><publisher>Tokyo: Japan Society of Civil Engineers</publisher><subject>Catchment area ; Climate change ; Climate models ; Discharge ; distributed hydrological model ; dynamical downscaling ; Environmental assessment ; Environmental impact ; Flood peak ; Hydrologic models ; Hydrology ; Rain ; Rainfall ; rainfall distribution ; Regional analysis ; Runoff ; Storage ; strage function model ; Uncertainty</subject><ispartof>Journal of Japan Society of Civil Engineers, Ser. 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B1, Suikogaku = Journal of Japan Society of Civil Engineers. Ser. B1, Hydraulic Engineering</title><addtitle>J. JSCE, Ser. B1</addtitle><description>This study aims to reveal the uncertainty of regional climate model (RCM) and impact assessment model in climate change impact assessment study in local scale. Therefore, we made an attempt to evaluate the uncertainty of RCM and impact assessment model by using two types of runoff model (distributed hydrological model (DHM) and storage function model (SFM)) and dynamical downscaling (DDS) experiments on selected past flood events. As the result, it is found that the difference of peak discharge between DHM and SFM is small except for DS5 km. In DS5 km, peak discharge of SFM overestimated DHM since heavy rainfall was occurred in around catchment and a part of catchment.</description><subject>Catchment area</subject><subject>Climate change</subject><subject>Climate models</subject><subject>Discharge</subject><subject>distributed hydrological model</subject><subject>dynamical downscaling</subject><subject>Environmental assessment</subject><subject>Environmental impact</subject><subject>Flood peak</subject><subject>Hydrologic models</subject><subject>Hydrology</subject><subject>Rain</subject><subject>Rainfall</subject><subject>rainfall distribution</subject><subject>Regional analysis</subject><subject>Runoff</subject><subject>Storage</subject><subject>strage function model</subject><subject>Uncertainty</subject><issn>2185-467X</issn><issn>2185-467X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNplkE1PwkAQhhujiQT5A56aeC7uV7vLcVMKNOmHoSXqabNdttIGAXfh4L-3SkM0XmYmmfeZSR7HuYdgjBBgj61Vut3oMSVjX8QCgsmVM0CQ-R4J6Mv1r_nWGVnbVAAEPkMYw4HTrLIwWpY8zspXN5-5y2ge5xlP3DCJU15GbppPo8Tl2dSN0yceli4viqgo0igr-12ZP_Pl9AKEC57No__pO-emllurR30fOqtZVIYLL8nnccgTT0EMmRdQSjQjlAQTRf1K-Wsp1RpDVWkiKQO4lgwENEBMBhCxSk18IMmaQL_WSFUYD52H892D2X-ctD2Kdn8yu-6lQBhBChCBrEuhc0qZvbVG1-JgmndpPjt94tuq6K0KSkRvtYPCM9Tao3zTF0SaY6O2-i_SlR_qslUbaYTe4S-WHXxw</recordid><startdate>2018</startdate><enddate>2018</enddate><creator>MARUYA, Yasuyuki</creator><creator>HARADA, Morihiro</creator><creator>ITO, Rui</creator><creator>KAWASE, Hiroaki</creator><creator>DAIRAKU, Koji</creator><creator>SASAKI, Hidetaka</creator><general>Japan Society of Civil Engineers</general><general>Japan Science and Technology Agency</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope></search><sort><creationdate>2018</creationdate><title>UNCERTAINTY OF REGIONAL CLIMATE MODEL AND IMPACT ASSESSMENT MODEL TOWARD CLIMATE CHANGE IMPACT ASSESSMENT</title><author>MARUYA, Yasuyuki ; HARADA, Morihiro ; ITO, Rui ; KAWASE, Hiroaki ; DAIRAKU, Koji ; SASAKI, Hidetaka</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1318-6774e847469c75bc5daacd31cbe4a7803fa8067628a6128bc950a4d415fe2cb33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng ; jpn</language><creationdate>2018</creationdate><topic>Catchment area</topic><topic>Climate change</topic><topic>Climate models</topic><topic>Discharge</topic><topic>distributed hydrological model</topic><topic>dynamical downscaling</topic><topic>Environmental assessment</topic><topic>Environmental impact</topic><topic>Flood peak</topic><topic>Hydrologic models</topic><topic>Hydrology</topic><topic>Rain</topic><topic>Rainfall</topic><topic>rainfall distribution</topic><topic>Regional analysis</topic><topic>Runoff</topic><topic>Storage</topic><topic>strage function model</topic><topic>Uncertainty</topic><toplevel>online_resources</toplevel><creatorcontrib>MARUYA, Yasuyuki</creatorcontrib><creatorcontrib>HARADA, Morihiro</creatorcontrib><creatorcontrib>ITO, Rui</creatorcontrib><creatorcontrib>KAWASE, Hiroaki</creatorcontrib><creatorcontrib>DAIRAKU, Koji</creatorcontrib><creatorcontrib>SASAKI, Hidetaka</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Doboku Gakkai Ronbunshu. B1, Suikogaku = Journal of Japan Society of Civil Engineers. Ser. B1, Hydraulic Engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>MARUYA, Yasuyuki</au><au>HARADA, Morihiro</au><au>ITO, Rui</au><au>KAWASE, Hiroaki</au><au>DAIRAKU, Koji</au><au>SASAKI, Hidetaka</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>UNCERTAINTY OF REGIONAL CLIMATE MODEL AND IMPACT ASSESSMENT MODEL TOWARD CLIMATE CHANGE IMPACT ASSESSMENT</atitle><jtitle>Doboku Gakkai Ronbunshu. B1, Suikogaku = Journal of Japan Society of Civil Engineers. Ser. B1, Hydraulic Engineering</jtitle><addtitle>J. JSCE, Ser. B1</addtitle><date>2018</date><risdate>2018</risdate><volume>74</volume><issue>5</issue><spage>I_109</spage><epage>I_114</epage><pages>I_109-I_114</pages><issn>2185-467X</issn><eissn>2185-467X</eissn><abstract>This study aims to reveal the uncertainty of regional climate model (RCM) and impact assessment model in climate change impact assessment study in local scale. Therefore, we made an attempt to evaluate the uncertainty of RCM and impact assessment model by using two types of runoff model (distributed hydrological model (DHM) and storage function model (SFM)) and dynamical downscaling (DDS) experiments on selected past flood events. As the result, it is found that the difference of peak discharge between DHM and SFM is small except for DS5 km. In DS5 km, peak discharge of SFM overestimated DHM since heavy rainfall was occurred in around catchment and a part of catchment.</abstract><cop>Tokyo</cop><pub>Japan Society of Civil Engineers</pub><doi>10.2208/jscejhe.74.5_I_109</doi></addata></record> |
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subjects | Catchment area Climate change Climate models Discharge distributed hydrological model dynamical downscaling Environmental assessment Environmental impact Flood peak Hydrologic models Hydrology Rain Rainfall rainfall distribution Regional analysis Runoff Storage strage function model Uncertainty |
title | UNCERTAINTY OF REGIONAL CLIMATE MODEL AND IMPACT ASSESSMENT MODEL TOWARD CLIMATE CHANGE IMPACT ASSESSMENT |
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