Spatial and temporal relation rule acquisition of eutrophication in Daâning River based on rough set theory
Since the mechanisms of eutrophication are complicated and many other factors affect these mechanisms, methods such as quantitative statistics and numerical simulation, have their limitations in analyzing the spatiotemporal relations of eutrophication. The rough set theory (RST) was used to describe...
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Veröffentlicht in: | Ecological indicators 2016, Vol.66, p.180-189 |
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description | Since the mechanisms of eutrophication are complicated and many other factors affect these mechanisms, methods such as quantitative statistics and numerical simulation, have their limitations in analyzing the spatiotemporal relations of eutrophication. The rough set theory (RST) was used to describe the spatiotemporal relations of eutrophication in Daâning River without any of other prior knowledge. Rules of relations in time and space affecting eutrophication in the Daâning River backwater area were extracted by taking representation of relations in time and space among eutrophication at a long river section of Daâning River backwater area, by taking nine sets of encrypted monitoring data in 2003 as example, and by making season, area and eutrophication level as the decision attributes, respectively, to represent specific features of the eutrophication phenomenon in the Daâning River backwater area from the points of view of time, space, and level by analysis of spatiotemporal relationship rules. This study result shows that the temporal and spatial differences between eutrophication phenomena in the long river section of the Daâning River backwater area are significant. Eutrophication for each section is less serious in autumn, more in spring and most in summer. Eutrophication degree gradually decreases from estuary to upstream, which is in conformity with reality. The RST of eutrophication in Daâning River may inform environmental decision-makers and assist them in making more cost-effective decisions. |
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The rough set theory (RST) was used to describe the spatiotemporal relations of eutrophication in Daâning River without any of other prior knowledge. Rules of relations in time and space affecting eutrophication in the Daâning River backwater area were extracted by taking representation of relations in time and space among eutrophication at a long river section of Daâning River backwater area, by taking nine sets of encrypted monitoring data in 2003 as example, and by making season, area and eutrophication level as the decision attributes, respectively, to represent specific features of the eutrophication phenomenon in the Daâning River backwater area from the points of view of time, space, and level by analysis of spatiotemporal relationship rules. This study result shows that the temporal and spatial differences between eutrophication phenomena in the long river section of the Daâning River backwater area are significant. Eutrophication for each section is less serious in autumn, more in spring and most in summer. Eutrophication degree gradually decreases from estuary to upstream, which is in conformity with reality. The RST of eutrophication in Daâning River may inform environmental decision-makers and assist them in making more cost-effective decisions.</description><identifier>ISSN: 1470-160X</identifier><identifier>EISSN: 1872-7034</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>autumn ; cost effectiveness ; estuaries ; Eutrophication ; mathematical models ; monitoring ; quantitative analysis ; rivers ; Rough set ; Rule extraction ; space and time ; Spatiotemporal relation ; spring ; statistics ; summer</subject><ispartof>Ecological indicators, 2016, Vol.66, p.180-189</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4022</link.rule.ids></links><search><creatorcontrib>Yan, Hu Yong</creatorcontrib><creatorcontrib>Xue Rui Zhang</creatorcontrib><creatorcontrib>Jian Hua Dong</creatorcontrib><creatorcontrib>Ming Sheng Shang</creatorcontrib><creatorcontrib>Kun Shan</creatorcontrib><creatorcontrib>Di Wu</creatorcontrib><creatorcontrib>Ye Yuan</creatorcontrib><creatorcontrib>Xu Wang</creatorcontrib><creatorcontrib>Hui Meng</creatorcontrib><creatorcontrib>Yu Huang</creatorcontrib><creatorcontrib>Guo Yin Wang</creatorcontrib><title>Spatial and temporal relation rule acquisition of eutrophication in Daâning River based on rough set theory</title><title>Ecological indicators</title><description>Since the mechanisms of eutrophication are complicated and many other factors affect these mechanisms, methods such as quantitative statistics and numerical simulation, have their limitations in analyzing the spatiotemporal relations of eutrophication. The rough set theory (RST) was used to describe the spatiotemporal relations of eutrophication in Daâning River without any of other prior knowledge. Rules of relations in time and space affecting eutrophication in the Daâning River backwater area were extracted by taking representation of relations in time and space among eutrophication at a long river section of Daâning River backwater area, by taking nine sets of encrypted monitoring data in 2003 as example, and by making season, area and eutrophication level as the decision attributes, respectively, to represent specific features of the eutrophication phenomenon in the Daâning River backwater area from the points of view of time, space, and level by analysis of spatiotemporal relationship rules. This study result shows that the temporal and spatial differences between eutrophication phenomena in the long river section of the Daâning River backwater area are significant. Eutrophication for each section is less serious in autumn, more in spring and most in summer. Eutrophication degree gradually decreases from estuary to upstream, which is in conformity with reality. The RST of eutrophication in Daâning River may inform environmental decision-makers and assist them in making more cost-effective decisions.</description><subject>autumn</subject><subject>cost effectiveness</subject><subject>estuaries</subject><subject>Eutrophication</subject><subject>mathematical models</subject><subject>monitoring</subject><subject>quantitative analysis</subject><subject>rivers</subject><subject>Rough set</subject><subject>Rule extraction</subject><subject>space and time</subject><subject>Spatiotemporal relation</subject><subject>spring</subject><subject>statistics</subject><subject>summer</subject><issn>1470-160X</issn><issn>1872-7034</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqFjksKwjAYhIMo-DyD_wUKaSutXfvAtQ9wJ7_6t43UpCap4M5ruPUoejHjY-9qZj6GYWqs5Q_jwIt5OKg7P4i550d83WRtYw6c-1GSRC1WLkq0AgtAuQdLx1JpFzQVjioJuioIcHeqhBEfoFKgympV5mL3rQgJY3zeH9fHTQqZwVycScMWDe3hvaCqLAdDFmxOSl-6rJFiYaj30w7rTyfL0cxLUW0w08JsVovA3XMXEx5EQfi_8QKmS0k4</recordid><startdate>2016</startdate><enddate>2016</enddate><creator>Yan, Hu Yong</creator><creator>Xue Rui Zhang</creator><creator>Jian Hua Dong</creator><creator>Ming Sheng Shang</creator><creator>Kun Shan</creator><creator>Di Wu</creator><creator>Ye Yuan</creator><creator>Xu Wang</creator><creator>Hui Meng</creator><creator>Yu Huang</creator><creator>Guo Yin Wang</creator><general>Elsevier Ltd</general><scope>FBQ</scope></search><sort><creationdate>2016</creationdate><title>Spatial and temporal relation rule acquisition of eutrophication in Daâning River based on rough set theory</title><author>Yan, Hu Yong ; Xue Rui Zhang ; Jian Hua Dong ; Ming Sheng Shang ; Kun Shan ; Di Wu ; Ye Yuan ; Xu Wang ; Hui Meng ; Yu Huang ; Guo Yin Wang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-fao_agris_US2016001902623</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>autumn</topic><topic>cost effectiveness</topic><topic>estuaries</topic><topic>Eutrophication</topic><topic>mathematical models</topic><topic>monitoring</topic><topic>quantitative analysis</topic><topic>rivers</topic><topic>Rough set</topic><topic>Rule extraction</topic><topic>space and time</topic><topic>Spatiotemporal relation</topic><topic>spring</topic><topic>statistics</topic><topic>summer</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yan, Hu Yong</creatorcontrib><creatorcontrib>Xue Rui Zhang</creatorcontrib><creatorcontrib>Jian Hua Dong</creatorcontrib><creatorcontrib>Ming Sheng Shang</creatorcontrib><creatorcontrib>Kun Shan</creatorcontrib><creatorcontrib>Di Wu</creatorcontrib><creatorcontrib>Ye Yuan</creatorcontrib><creatorcontrib>Xu Wang</creatorcontrib><creatorcontrib>Hui Meng</creatorcontrib><creatorcontrib>Yu Huang</creatorcontrib><creatorcontrib>Guo Yin Wang</creatorcontrib><collection>AGRIS</collection><jtitle>Ecological indicators</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yan, Hu Yong</au><au>Xue Rui Zhang</au><au>Jian Hua Dong</au><au>Ming Sheng Shang</au><au>Kun Shan</au><au>Di Wu</au><au>Ye Yuan</au><au>Xu Wang</au><au>Hui Meng</au><au>Yu Huang</au><au>Guo Yin Wang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial and temporal relation rule acquisition of eutrophication in Daâning River based on rough set theory</atitle><jtitle>Ecological indicators</jtitle><date>2016</date><risdate>2016</risdate><volume>66</volume><spage>180</spage><epage>189</epage><pages>180-189</pages><issn>1470-160X</issn><eissn>1872-7034</eissn><abstract>Since the mechanisms of eutrophication are complicated and many other factors affect these mechanisms, methods such as quantitative statistics and numerical simulation, have their limitations in analyzing the spatiotemporal relations of eutrophication. The rough set theory (RST) was used to describe the spatiotemporal relations of eutrophication in Daâning River without any of other prior knowledge. Rules of relations in time and space affecting eutrophication in the Daâning River backwater area were extracted by taking representation of relations in time and space among eutrophication at a long river section of Daâning River backwater area, by taking nine sets of encrypted monitoring data in 2003 as example, and by making season, area and eutrophication level as the decision attributes, respectively, to represent specific features of the eutrophication phenomenon in the Daâning River backwater area from the points of view of time, space, and level by analysis of spatiotemporal relationship rules. This study result shows that the temporal and spatial differences between eutrophication phenomena in the long river section of the Daâning River backwater area are significant. Eutrophication for each section is less serious in autumn, more in spring and most in summer. Eutrophication degree gradually decreases from estuary to upstream, which is in conformity with reality. The RST of eutrophication in Daâning River may inform environmental decision-makers and assist them in making more cost-effective decisions.</abstract><pub>Elsevier Ltd</pub></addata></record> |
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subjects | autumn cost effectiveness estuaries Eutrophication mathematical models monitoring quantitative analysis rivers Rough set Rule extraction space and time Spatiotemporal relation spring statistics summer |
title | Spatial and temporal relation rule acquisition of eutrophication in Daâning River based on rough set theory |
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