Effects of Long-Term Increases in Water Temperature and Stratification on Large Artificial Water-Source Lakes in South Korea
Long-term changes in air and water temperatures and the resulted stratification phenomena were observed for Soyang Lake (SY), Paldang Lake (PD), Chungju Lake (CJ), and Daecheong Lake (DC) in South Korea. Non-parametric seasonal Kendall and Mann-Kendall tests, Sen slope estimator, and potential energ...
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Veröffentlicht in: | Water (Basel) 2021-09, Vol.13 (17), p.2341 |
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description | Long-term changes in air and water temperatures and the resulted stratification phenomena were observed for Soyang Lake (SY), Paldang Lake (PD), Chungju Lake (CJ), and Daecheong Lake (DC) in South Korea. Non-parametric seasonal Kendall and Mann-Kendall tests, Sen slope estimator, and potential energy anomaly (PEA) were applied. The lake surface water temperatures (LSWTs) of SY and DC increased at the same rate (0.125 °C/y), followed by those of CJ (0.071 °C/y) and PD (0.06 °C/y). Seasonally, the LSWT increase rates for all lakes, except PD, were 2–3 times higher than the air temperature increase rates. The lake stratification intensity order was similar to those of the LSWT increases and correlations. SY and DC displayed significant correlations between LSWT (0.99) and PEA (0.91). Thus, the LSWT significantly affected stratification when the water temperature increased. PD demonstrated the lowest correlation between LSWT and PEA. Inflow, outflow, rainfall, wind speed, and retention time were significantly correlated, which varied within and between lakes depending on lake topographical, hydraulic, and hydrological factors. Thus, hydraulic problems and nutrients should be managed to minimize their effects on lake water quality and aquatic ecosystems because lake cyanobacteria can increase as localized water temperatures increase. |
doi_str_mv | 10.3390/w13172341 |
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Non-parametric seasonal Kendall and Mann-Kendall tests, Sen slope estimator, and potential energy anomaly (PEA) were applied. The lake surface water temperatures (LSWTs) of SY and DC increased at the same rate (0.125 °C/y), followed by those of CJ (0.071 °C/y) and PD (0.06 °C/y). Seasonally, the LSWT increase rates for all lakes, except PD, were 2–3 times higher than the air temperature increase rates. The lake stratification intensity order was similar to those of the LSWT increases and correlations. SY and DC displayed significant correlations between LSWT (0.99) and PEA (0.91). Thus, the LSWT significantly affected stratification when the water temperature increased. PD demonstrated the lowest correlation between LSWT and PEA. Inflow, outflow, rainfall, wind speed, and retention time were significantly correlated, which varied within and between lakes depending on lake topographical, hydraulic, and hydrological factors. Thus, hydraulic problems and nutrients should be managed to minimize their effects on lake water quality and aquatic ecosystems because lake cyanobacteria can increase as localized water temperatures increase.</description><identifier>ISSN: 2073-4441</identifier><identifier>EISSN: 2073-4441</identifier><identifier>DOI: 10.3390/w13172341</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Air temperature ; Aquatic ecosystems ; Correlation ; Cyanobacteria ; Dams ; Data collection ; Heat ; Hydrology ; Lakes ; Nutrients ; Potential energy ; Rain ; Rainfall ; Retention ; Retention time ; Stratification ; Summer ; Surface water ; Time series ; Trends ; Water quality ; Water stratification ; Water supply ; Water temperature ; Wind speed</subject><ispartof>Water (Basel), 2021-09, Vol.13 (17), p.2341</ispartof><rights>2021 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 (https://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-c292t-c490a75a57dfacf7dda860e260456162dd621100133702e8362d8c3bcb9e638a3</citedby><cites>FETCH-LOGICAL-c292t-c490a75a57dfacf7dda860e260456162dd621100133702e8362d8c3bcb9e638a3</cites></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>Yu, Soon-Ju</creatorcontrib><creatorcontrib>Son, Ju-Yeon</creatorcontrib><creatorcontrib>Kang, Ho-Yeong</creatorcontrib><creatorcontrib>Cho, Yong-Chul</creatorcontrib><creatorcontrib>Im, Jong-Kwon</creatorcontrib><title>Effects of Long-Term Increases in Water Temperature and Stratification on Large Artificial Water-Source Lakes in South Korea</title><title>Water (Basel)</title><description>Long-term changes in air and water temperatures and the resulted stratification phenomena were observed for Soyang Lake (SY), Paldang Lake (PD), Chungju Lake (CJ), and Daecheong Lake (DC) in South Korea. Non-parametric seasonal Kendall and Mann-Kendall tests, Sen slope estimator, and potential energy anomaly (PEA) were applied. The lake surface water temperatures (LSWTs) of SY and DC increased at the same rate (0.125 °C/y), followed by those of CJ (0.071 °C/y) and PD (0.06 °C/y). Seasonally, the LSWT increase rates for all lakes, except PD, were 2–3 times higher than the air temperature increase rates. The lake stratification intensity order was similar to those of the LSWT increases and correlations. SY and DC displayed significant correlations between LSWT (0.99) and PEA (0.91). Thus, the LSWT significantly affected stratification when the water temperature increased. PD demonstrated the lowest correlation between LSWT and PEA. Inflow, outflow, rainfall, wind speed, and retention time were significantly correlated, which varied within and between lakes depending on lake topographical, hydraulic, and hydrological factors. Thus, hydraulic problems and nutrients should be managed to minimize their effects on lake water quality and aquatic ecosystems because lake cyanobacteria can increase as localized water temperatures increase.</description><subject>Air temperature</subject><subject>Aquatic ecosystems</subject><subject>Correlation</subject><subject>Cyanobacteria</subject><subject>Dams</subject><subject>Data collection</subject><subject>Heat</subject><subject>Hydrology</subject><subject>Lakes</subject><subject>Nutrients</subject><subject>Potential energy</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Retention</subject><subject>Retention time</subject><subject>Stratification</subject><subject>Summer</subject><subject>Surface water</subject><subject>Time series</subject><subject>Trends</subject><subject>Water quality</subject><subject>Water stratification</subject><subject>Water supply</subject><subject>Water temperature</subject><subject>Wind speed</subject><issn>2073-4441</issn><issn>2073-4441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNUEtLAzEQDqJg0R78BwFPHlbzTvZYStXigodWPC5pdlK3tpuabBHBH290RRyGmfnm8c0wCF1Qcs15SW7eKaeacUGP0IgRzQshBD3-F5-icUobkkWUxkgyQp8z78H1CQePq9CtiyXEHZ53LoJNkHDb4WfbQ8RL2O0h2v4QAduuwYs-g9a3LtvQ4ayVjWvAk_iTbe12GCwW4RAd5OrrQJdx_4IfQl5wjk683SYY__oz9HQ7W07vi-rxbj6dVIVjJesLJ0pitbRSN946r5vGGkWAKSKkooo1jWKUEkI514SB4TllHF-5VQmKG8vP0OXAu4_h7QCprzf5qC6vrJnUVErKjcpdV0OXiyGlCL7ex3Zn40dNSf393_rvv_wLEpVsYw</recordid><startdate>20210901</startdate><enddate>20210901</enddate><creator>Yu, Soon-Ju</creator><creator>Son, Ju-Yeon</creator><creator>Kang, Ho-Yeong</creator><creator>Cho, Yong-Chul</creator><creator>Im, Jong-Kwon</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></search><sort><creationdate>20210901</creationdate><title>Effects of Long-Term Increases in Water Temperature and Stratification on Large Artificial Water-Source Lakes in South Korea</title><author>Yu, Soon-Ju ; Son, Ju-Yeon ; Kang, Ho-Yeong ; Cho, Yong-Chul ; Im, Jong-Kwon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c292t-c490a75a57dfacf7dda860e260456162dd621100133702e8362d8c3bcb9e638a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Air temperature</topic><topic>Aquatic ecosystems</topic><topic>Correlation</topic><topic>Cyanobacteria</topic><topic>Dams</topic><topic>Data collection</topic><topic>Heat</topic><topic>Hydrology</topic><topic>Lakes</topic><topic>Nutrients</topic><topic>Potential energy</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Retention</topic><topic>Retention time</topic><topic>Stratification</topic><topic>Summer</topic><topic>Surface water</topic><topic>Time series</topic><topic>Trends</topic><topic>Water quality</topic><topic>Water stratification</topic><topic>Water supply</topic><topic>Water temperature</topic><topic>Wind speed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yu, Soon-Ju</creatorcontrib><creatorcontrib>Son, Ju-Yeon</creatorcontrib><creatorcontrib>Kang, Ho-Yeong</creatorcontrib><creatorcontrib>Cho, Yong-Chul</creatorcontrib><creatorcontrib>Im, Jong-Kwon</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>Yu, Soon-Ju</au><au>Son, Ju-Yeon</au><au>Kang, Ho-Yeong</au><au>Cho, Yong-Chul</au><au>Im, Jong-Kwon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effects of Long-Term Increases in Water Temperature and Stratification on Large Artificial Water-Source Lakes in South Korea</atitle><jtitle>Water (Basel)</jtitle><date>2021-09-01</date><risdate>2021</risdate><volume>13</volume><issue>17</issue><spage>2341</spage><pages>2341-</pages><issn>2073-4441</issn><eissn>2073-4441</eissn><abstract>Long-term changes in air and water temperatures and the resulted stratification phenomena were observed for Soyang Lake (SY), Paldang Lake (PD), Chungju Lake (CJ), and Daecheong Lake (DC) in South Korea. Non-parametric seasonal Kendall and Mann-Kendall tests, Sen slope estimator, and potential energy anomaly (PEA) were applied. The lake surface water temperatures (LSWTs) of SY and DC increased at the same rate (0.125 °C/y), followed by those of CJ (0.071 °C/y) and PD (0.06 °C/y). Seasonally, the LSWT increase rates for all lakes, except PD, were 2–3 times higher than the air temperature increase rates. The lake stratification intensity order was similar to those of the LSWT increases and correlations. SY and DC displayed significant correlations between LSWT (0.99) and PEA (0.91). Thus, the LSWT significantly affected stratification when the water temperature increased. PD demonstrated the lowest correlation between LSWT and PEA. Inflow, outflow, rainfall, wind speed, and retention time were significantly correlated, which varied within and between lakes depending on lake topographical, hydraulic, and hydrological factors. Thus, hydraulic problems and nutrients should be managed to minimize their effects on lake water quality and aquatic ecosystems because lake cyanobacteria can increase as localized water temperatures increase.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/w13172341</doi><oa>free_for_read</oa></addata></record> |
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subjects | Air temperature Aquatic ecosystems Correlation Cyanobacteria Dams Data collection Heat Hydrology Lakes Nutrients Potential energy Rain Rainfall Retention Retention time Stratification Summer Surface water Time series Trends Water quality Water stratification Water supply Water temperature Wind speed |
title | Effects of Long-Term Increases in Water Temperature and Stratification on Large Artificial Water-Source Lakes in South Korea |
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