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Natural and human activities driving the spatiotemporal variability of water clarity in lakes across Eastern China
•The water clarity presents a pattern of “high in the south and low in the north”.•The month of highest Zsd is postponed from June in the south to August in the north.•Natural and human activities contributed equally to Zsd in Eastern lakes. Water clarity, indexed by Secchi disk depth (Zsd), compreh...
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Published in: | International journal of applied earth observation and geoinformation 2022-11, Vol.114, p.103037, Article 103037 |
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creator | Shen, Ming Cao, Zhigang Xue, Kun Liu, Dong Qi, Tianci Ma, Jinge Duan, Hongtao |
description | •The water clarity presents a pattern of “high in the south and low in the north”.•The month of highest Zsd is postponed from June in the south to August in the north.•Natural and human activities contributed equally to Zsd in Eastern lakes.
Water clarity, indexed by Secchi disk depth (Zsd), comprehensively reflects water quality and can be monitored by satellite. Zsd may vary across lakes globally, driven by natural and human activities (climate, land use/land cover, lake morphological characteristics, etc.). Based on Sentinel-3 Ocean and Land Color Instrument (OLCI) imagery, we explored the driving factors of Zsd spatiotemporal patterns in lakes across Eastern China (including the Northeast Plain and Mountain Lake (NPML) Zone and the Eastern Plain Lake (EPL) Zone). Spatially, the responses of driving factors were assessed using feature importance and partial dependence in the random forest model. The results showed that the impacts of natural factors on the spatial variations of Zsd (accounting for 52.00 % of contributions) are comparable to that of human activities (accounting for 48.00 % of contributions). The dynamic sediment ratio (DSR = the square root of the surface area divided by the average depth) showed the highest impact (accounting for 19.64 % of contributions). Thus, small lakes have relatively small DSR indices, making them less susceptible to wind- and wave-induced sediment resuspension, leading to higher Zsd than large lakes. Seasonally, the variations could be linked with the East Asian monsoon climate, characterized by hot and rainy summers. Moreover, the month with the highest Zsd was postponed from June-July in EPL lakes (south) to August-September in NPML lakes (north), consistent with the movement of the rainfall belt of the East Asian monsoon. This study could facilitate the knowledge of water quality in Eastern China as well as other developed areas and provide support for the sustainable development and management of lakes. |
doi_str_mv | 10.1016/j.jag.2022.103037 |
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Water clarity, indexed by Secchi disk depth (Zsd), comprehensively reflects water quality and can be monitored by satellite. Zsd may vary across lakes globally, driven by natural and human activities (climate, land use/land cover, lake morphological characteristics, etc.). Based on Sentinel-3 Ocean and Land Color Instrument (OLCI) imagery, we explored the driving factors of Zsd spatiotemporal patterns in lakes across Eastern China (including the Northeast Plain and Mountain Lake (NPML) Zone and the Eastern Plain Lake (EPL) Zone). Spatially, the responses of driving factors were assessed using feature importance and partial dependence in the random forest model. The results showed that the impacts of natural factors on the spatial variations of Zsd (accounting for 52.00 % of contributions) are comparable to that of human activities (accounting for 48.00 % of contributions). The dynamic sediment ratio (DSR = the square root of the surface area divided by the average depth) showed the highest impact (accounting for 19.64 % of contributions). Thus, small lakes have relatively small DSR indices, making them less susceptible to wind- and wave-induced sediment resuspension, leading to higher Zsd than large lakes. Seasonally, the variations could be linked with the East Asian monsoon climate, characterized by hot and rainy summers. Moreover, the month with the highest Zsd was postponed from June-July in EPL lakes (south) to August-September in NPML lakes (north), consistent with the movement of the rainfall belt of the East Asian monsoon. This study could facilitate the knowledge of water quality in Eastern China as well as other developed areas and provide support for the sustainable development and management of lakes.</description><identifier>ISSN: 1569-8432</identifier><identifier>EISSN: 1872-826X</identifier><identifier>DOI: 10.1016/j.jag.2022.103037</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Driving factors ; Lake ; Secchi disk depth ; Spatiotemporal variability</subject><ispartof>International journal of applied earth observation and geoinformation, 2022-11, Vol.114, p.103037, Article 103037</ispartof><rights>2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c336t-c70f0d9ed3aae3b7862fe0db3ec0dc2ea82618341e253fe290615ada909845583</citedby><cites>FETCH-LOGICAL-c336t-c70f0d9ed3aae3b7862fe0db3ec0dc2ea82618341e253fe290615ada909845583</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>Shen, Ming</creatorcontrib><creatorcontrib>Cao, Zhigang</creatorcontrib><creatorcontrib>Xue, Kun</creatorcontrib><creatorcontrib>Liu, Dong</creatorcontrib><creatorcontrib>Qi, Tianci</creatorcontrib><creatorcontrib>Ma, Jinge</creatorcontrib><creatorcontrib>Duan, Hongtao</creatorcontrib><title>Natural and human activities driving the spatiotemporal variability of water clarity in lakes across Eastern China</title><title>International journal of applied earth observation and geoinformation</title><description>•The water clarity presents a pattern of “high in the south and low in the north”.•The month of highest Zsd is postponed from June in the south to August in the north.•Natural and human activities contributed equally to Zsd in Eastern lakes.
Water clarity, indexed by Secchi disk depth (Zsd), comprehensively reflects water quality and can be monitored by satellite. Zsd may vary across lakes globally, driven by natural and human activities (climate, land use/land cover, lake morphological characteristics, etc.). Based on Sentinel-3 Ocean and Land Color Instrument (OLCI) imagery, we explored the driving factors of Zsd spatiotemporal patterns in lakes across Eastern China (including the Northeast Plain and Mountain Lake (NPML) Zone and the Eastern Plain Lake (EPL) Zone). Spatially, the responses of driving factors were assessed using feature importance and partial dependence in the random forest model. The results showed that the impacts of natural factors on the spatial variations of Zsd (accounting for 52.00 % of contributions) are comparable to that of human activities (accounting for 48.00 % of contributions). The dynamic sediment ratio (DSR = the square root of the surface area divided by the average depth) showed the highest impact (accounting for 19.64 % of contributions). Thus, small lakes have relatively small DSR indices, making them less susceptible to wind- and wave-induced sediment resuspension, leading to higher Zsd than large lakes. Seasonally, the variations could be linked with the East Asian monsoon climate, characterized by hot and rainy summers. Moreover, the month with the highest Zsd was postponed from June-July in EPL lakes (south) to August-September in NPML lakes (north), consistent with the movement of the rainfall belt of the East Asian monsoon. This study could facilitate the knowledge of water quality in Eastern China as well as other developed areas and provide support for the sustainable development and management of lakes.</description><subject>Driving factors</subject><subject>Lake</subject><subject>Secchi disk depth</subject><subject>Spatiotemporal variability</subject><issn>1569-8432</issn><issn>1872-826X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9kUtLAzEUhQdRsD5-gLv8gal5dCYZXEnxURDdKLgLt8lNm3E6U5K00n9v2opLV7k5yfm4h1MUN4yOGWX1bTtuYTHmlPN8F1TIk2LElOSl4vXnaZ6ruinVRPDz4iLGllImZa1GRXiFtAnQEegtWW5W0BMwyW998hiJDXnqFyQtkcQ1JD8kXK2H_f8tBA9z3_m0I4Mj35AwENNlNQu-Jx18ZQCYMMRIHiDm555Ml76Hq-LMQRfx-ve8LD4eH96nz-XL29Nsev9SGiHqVBpJHbUNWgGAYi5VzR1SOxdoqDUcISdjSkwY8ko45A2tWQUWGtqoSVUpcVnMjlw7QKvXwa8g7PQAXh-EISw0hORNh9pKqwClnEsnJxKcMpZb6hhWJsu1yyx2ZB3yBHR_PEb1vgDd6lyA3hegjwVkz93Rgznk1mPQ0XjsDVof0KS8hf_H_QNZbZEN</recordid><startdate>202211</startdate><enddate>202211</enddate><creator>Shen, Ming</creator><creator>Cao, Zhigang</creator><creator>Xue, Kun</creator><creator>Liu, Dong</creator><creator>Qi, Tianci</creator><creator>Ma, Jinge</creator><creator>Duan, Hongtao</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>DOA</scope></search><sort><creationdate>202211</creationdate><title>Natural and human activities driving the spatiotemporal variability of water clarity in lakes across Eastern China</title><author>Shen, Ming ; Cao, Zhigang ; Xue, Kun ; Liu, Dong ; Qi, Tianci ; Ma, Jinge ; Duan, Hongtao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c336t-c70f0d9ed3aae3b7862fe0db3ec0dc2ea82618341e253fe290615ada909845583</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Driving factors</topic><topic>Lake</topic><topic>Secchi disk depth</topic><topic>Spatiotemporal variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shen, Ming</creatorcontrib><creatorcontrib>Cao, Zhigang</creatorcontrib><creatorcontrib>Xue, Kun</creatorcontrib><creatorcontrib>Liu, Dong</creatorcontrib><creatorcontrib>Qi, Tianci</creatorcontrib><creatorcontrib>Ma, Jinge</creatorcontrib><creatorcontrib>Duan, Hongtao</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>International journal of applied earth observation and geoinformation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shen, Ming</au><au>Cao, Zhigang</au><au>Xue, Kun</au><au>Liu, Dong</au><au>Qi, Tianci</au><au>Ma, Jinge</au><au>Duan, Hongtao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Natural and human activities driving the spatiotemporal variability of water clarity in lakes across Eastern China</atitle><jtitle>International journal of applied earth observation and geoinformation</jtitle><date>2022-11</date><risdate>2022</risdate><volume>114</volume><spage>103037</spage><pages>103037-</pages><artnum>103037</artnum><issn>1569-8432</issn><eissn>1872-826X</eissn><abstract>•The water clarity presents a pattern of “high in the south and low in the north”.•The month of highest Zsd is postponed from June in the south to August in the north.•Natural and human activities contributed equally to Zsd in Eastern lakes.
Water clarity, indexed by Secchi disk depth (Zsd), comprehensively reflects water quality and can be monitored by satellite. Zsd may vary across lakes globally, driven by natural and human activities (climate, land use/land cover, lake morphological characteristics, etc.). Based on Sentinel-3 Ocean and Land Color Instrument (OLCI) imagery, we explored the driving factors of Zsd spatiotemporal patterns in lakes across Eastern China (including the Northeast Plain and Mountain Lake (NPML) Zone and the Eastern Plain Lake (EPL) Zone). Spatially, the responses of driving factors were assessed using feature importance and partial dependence in the random forest model. The results showed that the impacts of natural factors on the spatial variations of Zsd (accounting for 52.00 % of contributions) are comparable to that of human activities (accounting for 48.00 % of contributions). The dynamic sediment ratio (DSR = the square root of the surface area divided by the average depth) showed the highest impact (accounting for 19.64 % of contributions). Thus, small lakes have relatively small DSR indices, making them less susceptible to wind- and wave-induced sediment resuspension, leading to higher Zsd than large lakes. Seasonally, the variations could be linked with the East Asian monsoon climate, characterized by hot and rainy summers. Moreover, the month with the highest Zsd was postponed from June-July in EPL lakes (south) to August-September in NPML lakes (north), consistent with the movement of the rainfall belt of the East Asian monsoon. This study could facilitate the knowledge of water quality in Eastern China as well as other developed areas and provide support for the sustainable development and management of lakes.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.jag.2022.103037</doi><oa>free_for_read</oa></addata></record> |
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subjects | Driving factors Lake Secchi disk depth Spatiotemporal variability |
title | Natural and human activities driving the spatiotemporal variability of water clarity in lakes across Eastern China |
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