Spatiotemporal Variation in Precipitation during Rainy Season in Beibu Gulf, South China, from 1961 to 2016
The spatiotemporal variation in precipitation is an important part of water cycle change, which is directly associated with the atmospheric environment and climate change. The high-resolution spatiotemporal change of precipitation is still unknown in many areas despite its importance. This study ana...
Gespeichert in:
Veröffentlicht in: | Water (Basel) 2020-04, Vol.12 (4), p.1170 |
---|---|
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 | 4 |
container_start_page | 1170 |
container_title | Water (Basel) |
container_volume | 12 |
creator | Liu, Zhanming Yang, Hong Wei, Xinghu |
description | The spatiotemporal variation in precipitation is an important part of water cycle change, which is directly associated with the atmospheric environment and climate change. The high-resolution spatiotemporal change of precipitation is still unknown in many areas despite its importance. This study analyzed the spatiotemporal variation in precipitation in Beibu Gulf, South China, during the rainy season (from April to September) in the period of 1961–2016. The precipitation data were collected from 12 national standard rain-gauge observation stations. The spatiotemporal variation in precipitation was evaluated with incidence rate and contribution rate of precipitation. The tendency of variations was analyzed using the Mann–Kendall method. The precipitation in the rainy season contributed 80% to the total annual precipitation. In general, there was an exponential decreasing tendency between the precipitation incidence rate and increased precipitation durations. The corresponding contribution rate showed a downward trend after an initial increase. The precipitation incidence rate decreased with the rising precipitation grades, with a gradual increase in contribution rate. The precipitation incidence rate and contribution rate of 7–9 d durations showed the significant downward trends that passed the 95% level of significance test. The results provide a new understanding of precipitation change in the last five decades, which is valuable for predicting future climate change and extreme weather prevention and mitigation. |
doi_str_mv | 10.3390/w12041170 |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2393993699</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A791294694</galeid><sourcerecordid>A791294694</sourcerecordid><originalsourceid>FETCH-LOGICAL-c331t-8aa449dff11095e111c4c518e67afd6902eaa8bd0c0674521e67e238b6c6b0ff3</originalsourceid><addsrcrecordid>eNpNUFFLwzAQDqLgmHvwHwR8EuzMNWnaPM6hUxgoTn0taZpsmW1T0xTZv7ejIt5x3PHd993Bh9AlkDmlgtx-Q0wYQEpO0CQmKY0YY3D6bz5Hs67bkyGYyLKETNDnppXBuqDr1nlZ4Q_p7RFosG3wi9fKtjaMQNl722zxq7TNAW-07EbSnbZFj1d9ZW7wxvVhh5c728gbbLyrMQgOODgcE-AX6MzIqtOz3z5F7w_3b8vHaP28elou1pGiFEKUScmYKI0BICLRAKCYSiDTPJWm5ILEWsqsKIkiPGVJDMNCxzQruOIFMYZO0dV4t_Xuq9ddyPeu983wMo-poEJQPtQUzUfWVlY6t41xwUs1ZKlrq1yjjR3wRSogFowLNgiuR4Hyruu8NnnrbS39IQeSH_3P__ynP2FgdQk</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2393993699</pqid></control><display><type>article</type><title>Spatiotemporal Variation in Precipitation during Rainy Season in Beibu Gulf, South China, from 1961 to 2016</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Liu, Zhanming ; Yang, Hong ; Wei, Xinghu</creator><creatorcontrib>Liu, Zhanming ; Yang, Hong ; Wei, Xinghu</creatorcontrib><description>The spatiotemporal variation in precipitation is an important part of water cycle change, which is directly associated with the atmospheric environment and climate change. The high-resolution spatiotemporal change of precipitation is still unknown in many areas despite its importance. This study analyzed the spatiotemporal variation in precipitation in Beibu Gulf, South China, during the rainy season (from April to September) in the period of 1961–2016. The precipitation data were collected from 12 national standard rain-gauge observation stations. The spatiotemporal variation in precipitation was evaluated with incidence rate and contribution rate of precipitation. The tendency of variations was analyzed using the Mann–Kendall method. The precipitation in the rainy season contributed 80% to the total annual precipitation. In general, there was an exponential decreasing tendency between the precipitation incidence rate and increased precipitation durations. The corresponding contribution rate showed a downward trend after an initial increase. The precipitation incidence rate decreased with the rising precipitation grades, with a gradual increase in contribution rate. The precipitation incidence rate and contribution rate of 7–9 d durations showed the significant downward trends that passed the 95% level of significance test. The results provide a new understanding of precipitation change in the last five decades, which is valuable for predicting future climate change and extreme weather prevention and mitigation.</description><identifier>ISSN: 2073-4441</identifier><identifier>EISSN: 2073-4441</identifier><identifier>DOI: 10.3390/w12041170</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Analysis ; Annual precipitation ; Climate change ; Climate prediction ; Coasts ; Cooperation ; Drought ; Economic development ; Extreme weather ; Hydrologic cycle ; Hydrologic data ; Landslides & mudslides ; Mitigation ; Precipitation ; Precipitation variability ; Rain ; Rain gauges ; Rainfall ; Rainfall measurement ; Rainy season ; Seasons ; Studies ; Variation ; Weather</subject><ispartof>Water (Basel), 2020-04, Vol.12 (4), p.1170</ispartof><rights>COPYRIGHT 2020 MDPI AG</rights><rights>2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c331t-8aa449dff11095e111c4c518e67afd6902eaa8bd0c0674521e67e238b6c6b0ff3</citedby><cites>FETCH-LOGICAL-c331t-8aa449dff11095e111c4c518e67afd6902eaa8bd0c0674521e67e238b6c6b0ff3</cites><orcidid>0000-0001-9940-8273</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Liu, Zhanming</creatorcontrib><creatorcontrib>Yang, Hong</creatorcontrib><creatorcontrib>Wei, Xinghu</creatorcontrib><title>Spatiotemporal Variation in Precipitation during Rainy Season in Beibu Gulf, South China, from 1961 to 2016</title><title>Water (Basel)</title><description>The spatiotemporal variation in precipitation is an important part of water cycle change, which is directly associated with the atmospheric environment and climate change. The high-resolution spatiotemporal change of precipitation is still unknown in many areas despite its importance. This study analyzed the spatiotemporal variation in precipitation in Beibu Gulf, South China, during the rainy season (from April to September) in the period of 1961–2016. The precipitation data were collected from 12 national standard rain-gauge observation stations. The spatiotemporal variation in precipitation was evaluated with incidence rate and contribution rate of precipitation. The tendency of variations was analyzed using the Mann–Kendall method. The precipitation in the rainy season contributed 80% to the total annual precipitation. In general, there was an exponential decreasing tendency between the precipitation incidence rate and increased precipitation durations. The corresponding contribution rate showed a downward trend after an initial increase. The precipitation incidence rate decreased with the rising precipitation grades, with a gradual increase in contribution rate. The precipitation incidence rate and contribution rate of 7–9 d durations showed the significant downward trends that passed the 95% level of significance test. The results provide a new understanding of precipitation change in the last five decades, which is valuable for predicting future climate change and extreme weather prevention and mitigation.</description><subject>Analysis</subject><subject>Annual precipitation</subject><subject>Climate change</subject><subject>Climate prediction</subject><subject>Coasts</subject><subject>Cooperation</subject><subject>Drought</subject><subject>Economic development</subject><subject>Extreme weather</subject><subject>Hydrologic cycle</subject><subject>Hydrologic data</subject><subject>Landslides & mudslides</subject><subject>Mitigation</subject><subject>Precipitation</subject><subject>Precipitation variability</subject><subject>Rain</subject><subject>Rain gauges</subject><subject>Rainfall</subject><subject>Rainfall measurement</subject><subject>Rainy season</subject><subject>Seasons</subject><subject>Studies</subject><subject>Variation</subject><subject>Weather</subject><issn>2073-4441</issn><issn>2073-4441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNUFFLwzAQDqLgmHvwHwR8EuzMNWnaPM6hUxgoTn0taZpsmW1T0xTZv7ejIt5x3PHd993Bh9AlkDmlgtx-Q0wYQEpO0CQmKY0YY3D6bz5Hs67bkyGYyLKETNDnppXBuqDr1nlZ4Q_p7RFosG3wi9fKtjaMQNl722zxq7TNAW-07EbSnbZFj1d9ZW7wxvVhh5c728gbbLyrMQgOODgcE-AX6MzIqtOz3z5F7w_3b8vHaP28elou1pGiFEKUScmYKI0BICLRAKCYSiDTPJWm5ILEWsqsKIkiPGVJDMNCxzQruOIFMYZO0dV4t_Xuq9ddyPeu983wMo-poEJQPtQUzUfWVlY6t41xwUs1ZKlrq1yjjR3wRSogFowLNgiuR4Hyruu8NnnrbS39IQeSH_3P__ynP2FgdQk</recordid><startdate>20200401</startdate><enddate>20200401</enddate><creator>Liu, Zhanming</creator><creator>Yang, Hong</creator><creator>Wei, Xinghu</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/0000-0001-9940-8273</orcidid></search><sort><creationdate>20200401</creationdate><title>Spatiotemporal Variation in Precipitation during Rainy Season in Beibu Gulf, South China, from 1961 to 2016</title><author>Liu, Zhanming ; Yang, Hong ; Wei, Xinghu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c331t-8aa449dff11095e111c4c518e67afd6902eaa8bd0c0674521e67e238b6c6b0ff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Analysis</topic><topic>Annual precipitation</topic><topic>Climate change</topic><topic>Climate prediction</topic><topic>Coasts</topic><topic>Cooperation</topic><topic>Drought</topic><topic>Economic development</topic><topic>Extreme weather</topic><topic>Hydrologic cycle</topic><topic>Hydrologic data</topic><topic>Landslides & mudslides</topic><topic>Mitigation</topic><topic>Precipitation</topic><topic>Precipitation variability</topic><topic>Rain</topic><topic>Rain gauges</topic><topic>Rainfall</topic><topic>Rainfall measurement</topic><topic>Rainy season</topic><topic>Seasons</topic><topic>Studies</topic><topic>Variation</topic><topic>Weather</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Zhanming</creatorcontrib><creatorcontrib>Yang, Hong</creatorcontrib><creatorcontrib>Wei, Xinghu</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni)</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</collection><collection>Publicly Available Content Database</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>Liu, Zhanming</au><au>Yang, Hong</au><au>Wei, Xinghu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatiotemporal Variation in Precipitation during Rainy Season in Beibu Gulf, South China, from 1961 to 2016</atitle><jtitle>Water (Basel)</jtitle><date>2020-04-01</date><risdate>2020</risdate><volume>12</volume><issue>4</issue><spage>1170</spage><pages>1170-</pages><issn>2073-4441</issn><eissn>2073-4441</eissn><abstract>The spatiotemporal variation in precipitation is an important part of water cycle change, which is directly associated with the atmospheric environment and climate change. The high-resolution spatiotemporal change of precipitation is still unknown in many areas despite its importance. This study analyzed the spatiotemporal variation in precipitation in Beibu Gulf, South China, during the rainy season (from April to September) in the period of 1961–2016. The precipitation data were collected from 12 national standard rain-gauge observation stations. The spatiotemporal variation in precipitation was evaluated with incidence rate and contribution rate of precipitation. The tendency of variations was analyzed using the Mann–Kendall method. The precipitation in the rainy season contributed 80% to the total annual precipitation. In general, there was an exponential decreasing tendency between the precipitation incidence rate and increased precipitation durations. The corresponding contribution rate showed a downward trend after an initial increase. The precipitation incidence rate decreased with the rising precipitation grades, with a gradual increase in contribution rate. The precipitation incidence rate and contribution rate of 7–9 d durations showed the significant downward trends that passed the 95% level of significance test. The results provide a new understanding of precipitation change in the last five decades, which is valuable for predicting future climate change and extreme weather prevention and mitigation.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/w12041170</doi><orcidid>https://orcid.org/0000-0001-9940-8273</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2073-4441 |
ispartof | Water (Basel), 2020-04, Vol.12 (4), p.1170 |
issn | 2073-4441 2073-4441 |
language | eng |
recordid | cdi_proquest_journals_2393993699 |
source | MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals |
subjects | Analysis Annual precipitation Climate change Climate prediction Coasts Cooperation Drought Economic development Extreme weather Hydrologic cycle Hydrologic data Landslides & mudslides Mitigation Precipitation Precipitation variability Rain Rain gauges Rainfall Rainfall measurement Rainy season Seasons Studies Variation Weather |
title | Spatiotemporal Variation in Precipitation during Rainy Season in Beibu Gulf, South China, from 1961 to 2016 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T19%3A01%3A59IST&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=Spatiotemporal%20Variation%20in%20Precipitation%20during%20Rainy%20Season%20in%20Beibu%20Gulf,%20South%20China,%20from%201961%20to%202016&rft.jtitle=Water%20(Basel)&rft.au=Liu,%20Zhanming&rft.date=2020-04-01&rft.volume=12&rft.issue=4&rft.spage=1170&rft.pages=1170-&rft.issn=2073-4441&rft.eissn=2073-4441&rft_id=info:doi/10.3390/w12041170&rft_dat=%3Cgale_proqu%3EA791294694%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=2393993699&rft_id=info:pmid/&rft_galeid=A791294694&rfr_iscdi=true |