Analysis of Changes in Spatio-Temporal Patterns of Drought across South Korea
Since the climatic features of South Korea are highly complex and time variable, spatio-temporal-based drought frequency analysis is a prerequisite for drought risk management. The spatial extent of drought risk analysis in a bivariate framework has scarcely been applied in South Korea before. In th...
Gespeichert in:
Veröffentlicht in: | Water (Basel) 2017-09, Vol.9 (9), p.679 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 9 |
container_start_page | 679 |
container_title | Water (Basel) |
container_volume | 9 |
creator | Maeng, Seung Azam, Muhammad Kim, Hyung Hwang, Ju |
description | Since the climatic features of South Korea are highly complex and time variable, spatio-temporal-based drought frequency analysis is a prerequisite for drought risk management. The spatial extent of drought risk analysis in a bivariate framework has scarcely been applied in South Korea before. In this study, the spatio-temporal changes in drought events are investigated at 55 stations across South Korea during 1980–2015. A variety of probability distributions and copulas are applied, and the best fitted is selected on the basis the goodness of fit. The spatial distributions of primary and secondary return periods showed a high risk of drought due to the unusual precipitation pattern in the western coast areas and at Uljin station and a relative low risk of drought in the northwestern portion and surrounding areas of Yeongju, Uiseong, Boeun and Daejeon stations. Overall, the spatial distribution patterns of primary and secondary (Kendall) return periods are similar. However, their applicability changes according to the type of drought risk to be considered. The spatio-temporal quantification of the return period can be used for establishing the proper water demand and supply system and helps to overcome the challenges faced in the hydrometeorological regulations of reservoirs in the southwest coast. |
doi_str_mv | 10.3390/w9090679 |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_1952096883</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A787764816</galeid><sourcerecordid>A787764816</sourcerecordid><originalsourceid>FETCH-LOGICAL-c328t-35b0fd7f3cff0cf61621394182e150f1e378a44508db0d981210ce8eddc85ccf3</originalsourceid><addsrcrecordid>eNpNkE9LAzEQxYMoWGrBjxDw4mV1ssnuJsdS_2JFofUc0mzSpmw3a5JF-u1dWwVnDjMMvzfwHkKXBG4oFXD7JUBAWYkTNMqhohljjJz-28_RJMYtDMUE5wWM0Ou0Vc0-uoi9xbONatcmYtfiRaeS89nS7DofVIPfVUomtAfsLvh-vUlY6eBjxAvfpw1-8cGoC3RmVRPN5HeO0cfD_XL2lM3fHp9n03mmac5TRosV2LqyVFsL2pakzAkVjPDckAIsMbTiirECeL2CWnCSE9CGm7rWvNDa0jG6Ov7tgv_sTUxy6_swOImSiCIHUXJOB-rmSK1VY6RrrU9B6aFrs3Pat8a64T6teFWVjJNyEFwfBQdjwVjZBbdTYS8JyJ-A5V_A9Bv82mvC</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1952096883</pqid></control><display><type>article</type><title>Analysis of Changes in Spatio-Temporal Patterns of Drought across South Korea</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>MDPI - Multidisciplinary Digital Publishing Institute</source><creator>Maeng, Seung ; Azam, Muhammad ; Kim, Hyung ; Hwang, Ju</creator><creatorcontrib>Maeng, Seung ; Azam, Muhammad ; Kim, Hyung ; Hwang, Ju</creatorcontrib><description>Since the climatic features of South Korea are highly complex and time variable, spatio-temporal-based drought frequency analysis is a prerequisite for drought risk management. The spatial extent of drought risk analysis in a bivariate framework has scarcely been applied in South Korea before. In this study, the spatio-temporal changes in drought events are investigated at 55 stations across South Korea during 1980–2015. A variety of probability distributions and copulas are applied, and the best fitted is selected on the basis the goodness of fit. The spatial distributions of primary and secondary return periods showed a high risk of drought due to the unusual precipitation pattern in the western coast areas and at Uljin station and a relative low risk of drought in the northwestern portion and surrounding areas of Yeongju, Uiseong, Boeun and Daejeon stations. Overall, the spatial distribution patterns of primary and secondary (Kendall) return periods are similar. However, their applicability changes according to the type of drought risk to be considered. The spatio-temporal quantification of the return period can be used for establishing the proper water demand and supply system and helps to overcome the challenges faced in the hydrometeorological regulations of reservoirs in the southwest coast.</description><identifier>ISSN: 2073-4441</identifier><identifier>EISSN: 2073-4441</identifier><identifier>DOI: 10.3390/w9090679</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Analysis ; Bivariate analysis ; Distribution (Probability theory) ; Distribution patterns ; Drought ; Droughts ; Environmental risk ; Frequency analysis ; Goodness of fit ; Hydrology ; Hydrometeorology ; Precipitation ; Rainfall ; Random variables ; Risk analysis ; Risk assessment ; Risk management ; South Korea ; Spatial analysis ; Spatial distribution ; Stream flow ; Water demand</subject><ispartof>Water (Basel), 2017-09, Vol.9 (9), p.679</ispartof><rights>COPYRIGHT 2017 MDPI AG</rights><rights>Copyright MDPI AG 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c328t-35b0fd7f3cff0cf61621394182e150f1e378a44508db0d981210ce8eddc85ccf3</citedby><cites>FETCH-LOGICAL-c328t-35b0fd7f3cff0cf61621394182e150f1e378a44508db0d981210ce8eddc85ccf3</cites><orcidid>0000-0001-6184-8820</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Maeng, Seung</creatorcontrib><creatorcontrib>Azam, Muhammad</creatorcontrib><creatorcontrib>Kim, Hyung</creatorcontrib><creatorcontrib>Hwang, Ju</creatorcontrib><title>Analysis of Changes in Spatio-Temporal Patterns of Drought across South Korea</title><title>Water (Basel)</title><description>Since the climatic features of South Korea are highly complex and time variable, spatio-temporal-based drought frequency analysis is a prerequisite for drought risk management. The spatial extent of drought risk analysis in a bivariate framework has scarcely been applied in South Korea before. In this study, the spatio-temporal changes in drought events are investigated at 55 stations across South Korea during 1980–2015. A variety of probability distributions and copulas are applied, and the best fitted is selected on the basis the goodness of fit. The spatial distributions of primary and secondary return periods showed a high risk of drought due to the unusual precipitation pattern in the western coast areas and at Uljin station and a relative low risk of drought in the northwestern portion and surrounding areas of Yeongju, Uiseong, Boeun and Daejeon stations. Overall, the spatial distribution patterns of primary and secondary (Kendall) return periods are similar. However, their applicability changes according to the type of drought risk to be considered. The spatio-temporal quantification of the return period can be used for establishing the proper water demand and supply system and helps to overcome the challenges faced in the hydrometeorological regulations of reservoirs in the southwest coast.</description><subject>Analysis</subject><subject>Bivariate analysis</subject><subject>Distribution (Probability theory)</subject><subject>Distribution patterns</subject><subject>Drought</subject><subject>Droughts</subject><subject>Environmental risk</subject><subject>Frequency analysis</subject><subject>Goodness of fit</subject><subject>Hydrology</subject><subject>Hydrometeorology</subject><subject>Precipitation</subject><subject>Rainfall</subject><subject>Random variables</subject><subject>Risk analysis</subject><subject>Risk assessment</subject><subject>Risk management</subject><subject>South Korea</subject><subject>Spatial analysis</subject><subject>Spatial distribution</subject><subject>Stream flow</subject><subject>Water demand</subject><issn>2073-4441</issn><issn>2073-4441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNkE9LAzEQxYMoWGrBjxDw4mV1ssnuJsdS_2JFofUc0mzSpmw3a5JF-u1dWwVnDjMMvzfwHkKXBG4oFXD7JUBAWYkTNMqhohljjJz-28_RJMYtDMUE5wWM0Ou0Vc0-uoi9xbONatcmYtfiRaeS89nS7DofVIPfVUomtAfsLvh-vUlY6eBjxAvfpw1-8cGoC3RmVRPN5HeO0cfD_XL2lM3fHp9n03mmac5TRosV2LqyVFsL2pakzAkVjPDckAIsMbTiirECeL2CWnCSE9CGm7rWvNDa0jG6Ov7tgv_sTUxy6_swOImSiCIHUXJOB-rmSK1VY6RrrU9B6aFrs3Pat8a64T6teFWVjJNyEFwfBQdjwVjZBbdTYS8JyJ-A5V_A9Bv82mvC</recordid><startdate>20170907</startdate><enddate>20170907</enddate><creator>Maeng, Seung</creator><creator>Azam, Muhammad</creator><creator>Kim, Hyung</creator><creator>Hwang, Ju</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0001-6184-8820</orcidid></search><sort><creationdate>20170907</creationdate><title>Analysis of Changes in Spatio-Temporal Patterns of Drought across South Korea</title><author>Maeng, Seung ; Azam, Muhammad ; Kim, Hyung ; Hwang, Ju</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c328t-35b0fd7f3cff0cf61621394182e150f1e378a44508db0d981210ce8eddc85ccf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Analysis</topic><topic>Bivariate analysis</topic><topic>Distribution (Probability theory)</topic><topic>Distribution patterns</topic><topic>Drought</topic><topic>Droughts</topic><topic>Environmental risk</topic><topic>Frequency analysis</topic><topic>Goodness of fit</topic><topic>Hydrology</topic><topic>Hydrometeorology</topic><topic>Precipitation</topic><topic>Rainfall</topic><topic>Random variables</topic><topic>Risk analysis</topic><topic>Risk assessment</topic><topic>Risk management</topic><topic>South Korea</topic><topic>Spatial analysis</topic><topic>Spatial distribution</topic><topic>Stream flow</topic><topic>Water demand</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Maeng, Seung</creatorcontrib><creatorcontrib>Azam, Muhammad</creatorcontrib><creatorcontrib>Kim, Hyung</creatorcontrib><creatorcontrib>Hwang, Ju</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Water (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Maeng, Seung</au><au>Azam, Muhammad</au><au>Kim, Hyung</au><au>Hwang, Ju</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of Changes in Spatio-Temporal Patterns of Drought across South Korea</atitle><jtitle>Water (Basel)</jtitle><date>2017-09-07</date><risdate>2017</risdate><volume>9</volume><issue>9</issue><spage>679</spage><pages>679-</pages><issn>2073-4441</issn><eissn>2073-4441</eissn><abstract>Since the climatic features of South Korea are highly complex and time variable, spatio-temporal-based drought frequency analysis is a prerequisite for drought risk management. The spatial extent of drought risk analysis in a bivariate framework has scarcely been applied in South Korea before. In this study, the spatio-temporal changes in drought events are investigated at 55 stations across South Korea during 1980–2015. A variety of probability distributions and copulas are applied, and the best fitted is selected on the basis the goodness of fit. The spatial distributions of primary and secondary return periods showed a high risk of drought due to the unusual precipitation pattern in the western coast areas and at Uljin station and a relative low risk of drought in the northwestern portion and surrounding areas of Yeongju, Uiseong, Boeun and Daejeon stations. Overall, the spatial distribution patterns of primary and secondary (Kendall) return periods are similar. However, their applicability changes according to the type of drought risk to be considered. The spatio-temporal quantification of the return period can be used for establishing the proper water demand and supply system and helps to overcome the challenges faced in the hydrometeorological regulations of reservoirs in the southwest coast.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/w9090679</doi><orcidid>https://orcid.org/0000-0001-6184-8820</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2073-4441 |
ispartof | Water (Basel), 2017-09, Vol.9 (9), p.679 |
issn | 2073-4441 2073-4441 |
language | eng |
recordid | cdi_proquest_journals_1952096883 |
source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; MDPI - Multidisciplinary Digital Publishing Institute |
subjects | Analysis Bivariate analysis Distribution (Probability theory) Distribution patterns Drought Droughts Environmental risk Frequency analysis Goodness of fit Hydrology Hydrometeorology Precipitation Rainfall Random variables Risk analysis Risk assessment Risk management South Korea Spatial analysis Spatial distribution Stream flow Water demand |
title | Analysis of Changes in Spatio-Temporal Patterns of Drought across South Korea |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-19T22%3A07%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Analysis%20of%20Changes%20in%20Spatio-Temporal%20Patterns%20of%20Drought%20across%20South%20Korea&rft.jtitle=Water%20(Basel)&rft.au=Maeng,%20Seung&rft.date=2017-09-07&rft.volume=9&rft.issue=9&rft.spage=679&rft.pages=679-&rft.issn=2073-4441&rft.eissn=2073-4441&rft_id=info:doi/10.3390/w9090679&rft_dat=%3Cgale_proqu%3EA787764816%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1952096883&rft_id=info:pmid/&rft_galeid=A787764816&rfr_iscdi=true |