ANALYSIS ON FUTURE CHANGES OF RAINFALL PATTERN USING A LARGE-EMSEMBLE DATASET
In recent years, record-breaking rainfall has been occurring frequently due to climate change, causing extensive damage in many areas. It is important to properly assess future changes and take adaptive measures to cope with such heavy rainfall. In Japan, the Ministry of Land, Infrastructure, Transp...
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| Veröffentlicht in: | Doboku Gakkai Ronbunshu. G, Kankyo = Journal of Japan Society of Civil Engineers. Ser. G, Environmental Research Ser. G (Environmental Research), 2022, Vol.78(5), pp.I_157-I_162 |
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| container_issue | 5 |
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| container_title | Doboku Gakkai Ronbunshu. G, Kankyo = Journal of Japan Society of Civil Engineers. Ser. G, Environmental Research |
| container_volume | 78 |
| creator | MASAMOTO, Miori KOYAMA, Naoki YAMADA, Tadashi |
| description | In recent years, record-breaking rainfall has been occurring frequently due to climate change, causing extensive damage in many areas. It is important to properly assess future changes and take adaptive measures to cope with such heavy rainfall. In Japan, the Ministry of Land, Infrastructure, Transport and Tourism (MLIT) has been promoting flood control planning using large ensemble climate prediction data. The data can be used for flood risk assessment based on the spatiotemporal distribution of rainfall. In this study, future changes in rainfall waveforms, which are important for flood risk assessment, were analyzed. It was shown that the proportion of backward-concentrated rainfall increases as the rainfall duration increases, and that there is a tendency for future events with rainfall intensity of 15 to 20 mm/h to continue falling for a long time. In comparison with the actual measurements, the rainfall waveforms of the future experiment generally agreed with the actual measurements, and the peak rainfall intensity tended to increase compared to the actual measurements. |
| doi_str_mv | 10.2208/jscejer.78.5_I_157 |
| format | Article |
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In comparison with the actual measurements, the rainfall waveforms of the future experiment generally agreed with the actual measurements, and the peak rainfall intensity tended to increase compared to the actual measurements.</description><subject>Climate change</subject><subject>Climate prediction</subject><subject>d4PDF(5km, SI-CAT)</subject><subject>Environmental risk</subject><subject>Flood control</subject><subject>Flood predictions</subject><subject>Floods</subject><subject>large-ensemble dataset</subject><subject>Precipitation</subject><subject>Rainfall</subject><subject>rainfall duration</subject><subject>Rainfall intensity</subject><subject>rainfall pattern</subject><subject>Risk analysis</subject><subject>Risk assessment</subject><subject>Spatial distribution</subject><subject>Temporal distribution</subject><subject>Tourism</subject><subject>Waveforms</subject><issn>2185-6648</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNo9UF1PwjAAbExMJMgf8KmJz8OupR881tmNJWWYrTz41HRdpywIuMGD_14U4stdcne5Sw6AhxhNMUbiqRt86EI_5WJKbW5jym_ACMeCRozNxB2YDMOmRohRgQkRI7CUhdRvVV7BVQHTtVmXCiYLWWTqrKSwlHmRSq3hqzRGlQVcV3mRQQm1LDMVqWWlls9awRdpZKXMPbht3XYIkyuPgUmVSRaRXmV5InXUCYEiLmqHwmwmmrbFtHEk9owz3ArMEZ4L3HjPQk0x9YQi0hA-b1jtKHHIz2vPKBmDx0vtod9_ncJwtN3-1O_OixZzwTjGlKNzKrmkuuHo3oM99JtP139b1x83fhvs9SrLhaW_8PfWv-s_XG_DjvwA4MphgA</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>MASAMOTO, Miori</creator><creator>KOYAMA, Naoki</creator><creator>YAMADA, Tadashi</creator><general>Japan Society of Civil Engineers</general><general>Japan Science and Technology Agency</general><scope>7QH</scope><scope>7ST</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H97</scope><scope>KR7</scope><scope>L.G</scope><scope>SOI</scope></search><sort><creationdate>2022</creationdate><title>ANALYSIS ON FUTURE CHANGES OF RAINFALL PATTERN USING A LARGE-EMSEMBLE DATASET</title><author>MASAMOTO, Miori ; KOYAMA, Naoki ; YAMADA, Tadashi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-j880-78ba0e448dff25da31c6762f82702982dcc6eb525c3503d379d6ba53a0c9bc653</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>jpn</language><creationdate>2022</creationdate><topic>Climate change</topic><topic>Climate prediction</topic><topic>d4PDF(5km, SI-CAT)</topic><topic>Environmental risk</topic><topic>Flood control</topic><topic>Flood predictions</topic><topic>Floods</topic><topic>large-ensemble dataset</topic><topic>Precipitation</topic><topic>Rainfall</topic><topic>rainfall duration</topic><topic>Rainfall intensity</topic><topic>rainfall pattern</topic><topic>Risk analysis</topic><topic>Risk assessment</topic><topic>Spatial distribution</topic><topic>Temporal distribution</topic><topic>Tourism</topic><topic>Waveforms</topic><toplevel>online_resources</toplevel><creatorcontrib>MASAMOTO, Miori</creatorcontrib><creatorcontrib>KOYAMA, Naoki</creatorcontrib><creatorcontrib>YAMADA, Tadashi</creatorcontrib><collection>Aqualine</collection><collection>Environment Abstracts</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) 3: Aquatic Pollution & Environmental Quality</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><jtitle>Doboku Gakkai Ronbunshu. G, Kankyo = Journal of Japan Society of Civil Engineers. Ser. G, Environmental Research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>MASAMOTO, Miori</au><au>KOYAMA, Naoki</au><au>YAMADA, Tadashi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>ANALYSIS ON FUTURE CHANGES OF RAINFALL PATTERN USING A LARGE-EMSEMBLE DATASET</atitle><jtitle>Doboku Gakkai Ronbunshu. G, Kankyo = Journal of Japan Society of Civil Engineers. Ser. G, Environmental Research</jtitle><addtitle>J. JSCE, Ser. G</addtitle><date>2022</date><risdate>2022</risdate><volume>78</volume><issue>5</issue><spage>I_157</spage><epage>I_162</epage><pages>I_157-I_162</pages><eissn>2185-6648</eissn><abstract>In recent years, record-breaking rainfall has been occurring frequently due to climate change, causing extensive damage in many areas. It is important to properly assess future changes and take adaptive measures to cope with such heavy rainfall. In Japan, the Ministry of Land, Infrastructure, Transport and Tourism (MLIT) has been promoting flood control planning using large ensemble climate prediction data. The data can be used for flood risk assessment based on the spatiotemporal distribution of rainfall. In this study, future changes in rainfall waveforms, which are important for flood risk assessment, were analyzed. It was shown that the proportion of backward-concentrated rainfall increases as the rainfall duration increases, and that there is a tendency for future events with rainfall intensity of 15 to 20 mm/h to continue falling for a long time. In comparison with the actual measurements, the rainfall waveforms of the future experiment generally agreed with the actual measurements, and the peak rainfall intensity tended to increase compared to the actual measurements.</abstract><cop>Tokyo</cop><pub>Japan Society of Civil Engineers</pub><doi>10.2208/jscejer.78.5_I_157</doi></addata></record> |
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| issn | 2185-6648 |
| language | jpn |
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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Climate change Climate prediction d4PDF(5km, SI-CAT) Environmental risk Flood control Flood predictions Floods large-ensemble dataset Precipitation Rainfall rainfall duration Rainfall intensity rainfall pattern Risk analysis Risk assessment Spatial distribution Temporal distribution Tourism Waveforms |
| title | ANALYSIS ON FUTURE CHANGES OF RAINFALL PATTERN USING A LARGE-EMSEMBLE DATASET |
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