Investigation of the temporal relation of remotely sensed coastal water quality with GIS modelled upstream soil erosion
Hydrological processes at the river basin influence the quality of downstream water bodies by controlling the loads of nutrients and suspended solids. Although their monitoring is important for social, economic and environmental reasons, in‐situ measurements are too expensive and thus too sparse to...
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Veröffentlicht in: | Hydrological processes 2015-05, Vol.29 (10), p.2373-2384 |
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description | Hydrological processes at the river basin influence the quality of downstream water bodies by controlling the loads of nutrients and suspended solids. Although their monitoring is important for social, economic and environmental reasons, in‐situ measurements are too expensive and thus too sparse to describe their relations. The aim of this study is to investigate the temporal relations of soil erosion in the upstream part of river basins with water quality characteristics in the downstream coastal zone, using satellite remote sensing and GIS modelling. Data from satellite missions of MODIS, SRTM and TRMM were used to describe the soil erosion factors of the Universal Soil Loss Equation in three river basins, and MERIS satellite data was used to estimate chlorophyll‐a and total suspended matter concentrations in the coastal zone of northwest Aegean Sea in Greece, where the rivers discharge. The resulting time series showed an average correlation of upstream rainfall with downstream water quality, which increased when soil erosion was introduced. Higher correlations were observed with the use of a time lag, revealing a variable delay between the three test sites. Lower correlation coefficients were observed for chlorophyll‐a, due to the sensitivity of algae to environmental conditions. The use of free of charge satellite data and easy to operate GIS models renders the findings of this work useful for coastal zone management bodies, in order to help increase aquaculture productivity, predict algal blooms and predict siltation of ports. Copyright © 2014 John Wiley & Sons, Ltd. |
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K ; Monachou, S ; Skoulikaris, C ; Kalopesa, E ; Zalidis, G. C</creator><creatorcontrib>Alexandridis, T. K ; Monachou, S ; Skoulikaris, C ; Kalopesa, E ; Zalidis, G. C</creatorcontrib><description>Hydrological processes at the river basin influence the quality of downstream water bodies by controlling the loads of nutrients and suspended solids. Although their monitoring is important for social, economic and environmental reasons, in‐situ measurements are too expensive and thus too sparse to describe their relations. The aim of this study is to investigate the temporal relations of soil erosion in the upstream part of river basins with water quality characteristics in the downstream coastal zone, using satellite remote sensing and GIS modelling. Data from satellite missions of MODIS, SRTM and TRMM were used to describe the soil erosion factors of the Universal Soil Loss Equation in three river basins, and MERIS satellite data was used to estimate chlorophyll‐a and total suspended matter concentrations in the coastal zone of northwest Aegean Sea in Greece, where the rivers discharge. The resulting time series showed an average correlation of upstream rainfall with downstream water quality, which increased when soil erosion was introduced. Higher correlations were observed with the use of a time lag, revealing a variable delay between the three test sites. Lower correlation coefficients were observed for chlorophyll‐a, due to the sensitivity of algae to environmental conditions. The use of free of charge satellite data and easy to operate GIS models renders the findings of this work useful for coastal zone management bodies, in order to help increase aquaculture productivity, predict algal blooms and predict siltation of ports. Copyright © 2014 John Wiley & Sons, Ltd.</description><identifier>ISSN: 0885-6087</identifier><identifier>EISSN: 1099-1085</identifier><identifier>DOI: 10.1002/hyp.10373</identifier><language>eng</language><publisher>Chichester: Wiley</publisher><subject>Algae ; algal blooms ; aquaculture ; chlorophyll ; chlorophyll-a ; coastal water ; coastal zone management ; coasts ; Correlation ; environmental factors ; erosion ; Geographic information systems ; GIS ; Mathematical models ; moderate resolution imaging spectroradiometer ; monitoring ; nutrients ; rain ; remote sensing ; River basins ; rivers ; Satellite navigation systems ; Satellites ; Soil erosion ; surface water ; time series analysis ; TSM ; Universal Soil Loss Equation ; Upstream ; USLE ; Water quality ; watersheds</subject><ispartof>Hydrological processes, 2015-05, Vol.29 (10), p.2373-2384</ispartof><rights>Copyright © 2014 John Wiley & Sons, Ltd.</rights><rights>Copyright © 2015 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a4143-a97b27df22cbd03d0edc3ef930df5f5ecabdcc7b3b6432cb244774f1376a934e3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fhyp.10373$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fhyp.10373$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,777,781,1412,27905,27906,45555,45556</link.rule.ids></links><search><creatorcontrib>Alexandridis, T. K</creatorcontrib><creatorcontrib>Monachou, S</creatorcontrib><creatorcontrib>Skoulikaris, C</creatorcontrib><creatorcontrib>Kalopesa, E</creatorcontrib><creatorcontrib>Zalidis, G. C</creatorcontrib><title>Investigation of the temporal relation of remotely sensed coastal water quality with GIS modelled upstream soil erosion</title><title>Hydrological processes</title><addtitle>Hydrol. Process</addtitle><description>Hydrological processes at the river basin influence the quality of downstream water bodies by controlling the loads of nutrients and suspended solids. Although their monitoring is important for social, economic and environmental reasons, in‐situ measurements are too expensive and thus too sparse to describe their relations. The aim of this study is to investigate the temporal relations of soil erosion in the upstream part of river basins with water quality characteristics in the downstream coastal zone, using satellite remote sensing and GIS modelling. Data from satellite missions of MODIS, SRTM and TRMM were used to describe the soil erosion factors of the Universal Soil Loss Equation in three river basins, and MERIS satellite data was used to estimate chlorophyll‐a and total suspended matter concentrations in the coastal zone of northwest Aegean Sea in Greece, where the rivers discharge. The resulting time series showed an average correlation of upstream rainfall with downstream water quality, which increased when soil erosion was introduced. Higher correlations were observed with the use of a time lag, revealing a variable delay between the three test sites. Lower correlation coefficients were observed for chlorophyll‐a, due to the sensitivity of algae to environmental conditions. The use of free of charge satellite data and easy to operate GIS models renders the findings of this work useful for coastal zone management bodies, in order to help increase aquaculture productivity, predict algal blooms and predict siltation of ports. Copyright © 2014 John Wiley & Sons, Ltd.</description><subject>Algae</subject><subject>algal blooms</subject><subject>aquaculture</subject><subject>chlorophyll</subject><subject>chlorophyll-a</subject><subject>coastal water</subject><subject>coastal zone management</subject><subject>coasts</subject><subject>Correlation</subject><subject>environmental factors</subject><subject>erosion</subject><subject>Geographic information systems</subject><subject>GIS</subject><subject>Mathematical models</subject><subject>moderate resolution imaging spectroradiometer</subject><subject>monitoring</subject><subject>nutrients</subject><subject>rain</subject><subject>remote sensing</subject><subject>River basins</subject><subject>rivers</subject><subject>Satellite navigation systems</subject><subject>Satellites</subject><subject>Soil erosion</subject><subject>surface water</subject><subject>time series analysis</subject><subject>TSM</subject><subject>Universal Soil Loss Equation</subject><subject>Upstream</subject><subject>USLE</subject><subject>Water quality</subject><subject>watersheds</subject><issn>0885-6087</issn><issn>1099-1085</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNqNkU1v1DAQhi0EEsvCgV-AJS5cQsdfcXKECrYrKj60VIiT5SSTrkuyTm2HJf8e00U9cOI0I83zvpqZl5DnDF4zAH62X6bcCC0ekBWDui4YVOohWUFVqaKESj8mT2K8AQAJFazIcXv4iTG5a5ucP1Df07RHmnCcfLADDTjcDwKOPuGw0IiHiB1tvY0pM0ebMNDb2Q4uLfTo0p5utjs6-g6HIXPzFFNAO9Lo3UAx-JgNn5JHvR0iPvtb1-Tq_buv5xfF5afN9vzNZWElk6KwtW647nrO26YD0QF2rcC-FtD1qlfY2qZrW92IppQiM1xKrWXPhC5tLSSKNXl18p2Cv53zpWZ0sc2L2QP6ORpWVqoCpqX6HxSkKkV-7pq8_Ae98XM45EMypSVntQKeqbMTdXQDLmYKbrRhMQzMn6hMjsrcRWUuvn--a7KiOClcTPjrXmHDD1NqoZX59nFjgO8-SPn2i5GZf3Hie-uNvQ4umqsdB6ayPyjOKvEbb5midQ</recordid><startdate>20150515</startdate><enddate>20150515</enddate><creator>Alexandridis, T. 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C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a4143-a97b27df22cbd03d0edc3ef930df5f5ecabdcc7b3b6432cb244774f1376a934e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Algae</topic><topic>algal blooms</topic><topic>aquaculture</topic><topic>chlorophyll</topic><topic>chlorophyll-a</topic><topic>coastal water</topic><topic>coastal zone management</topic><topic>coasts</topic><topic>Correlation</topic><topic>environmental factors</topic><topic>erosion</topic><topic>Geographic information systems</topic><topic>GIS</topic><topic>Mathematical models</topic><topic>moderate resolution imaging spectroradiometer</topic><topic>monitoring</topic><topic>nutrients</topic><topic>rain</topic><topic>remote sensing</topic><topic>River basins</topic><topic>rivers</topic><topic>Satellite navigation systems</topic><topic>Satellites</topic><topic>Soil erosion</topic><topic>surface water</topic><topic>time series analysis</topic><topic>TSM</topic><topic>Universal Soil Loss Equation</topic><topic>Upstream</topic><topic>USLE</topic><topic>Water quality</topic><topic>watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alexandridis, T. 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K</au><au>Monachou, S</au><au>Skoulikaris, C</au><au>Kalopesa, E</au><au>Zalidis, G. C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Investigation of the temporal relation of remotely sensed coastal water quality with GIS modelled upstream soil erosion</atitle><jtitle>Hydrological processes</jtitle><addtitle>Hydrol. Process</addtitle><date>2015-05-15</date><risdate>2015</risdate><volume>29</volume><issue>10</issue><spage>2373</spage><epage>2384</epage><pages>2373-2384</pages><issn>0885-6087</issn><eissn>1099-1085</eissn><abstract>Hydrological processes at the river basin influence the quality of downstream water bodies by controlling the loads of nutrients and suspended solids. Although their monitoring is important for social, economic and environmental reasons, in‐situ measurements are too expensive and thus too sparse to describe their relations. The aim of this study is to investigate the temporal relations of soil erosion in the upstream part of river basins with water quality characteristics in the downstream coastal zone, using satellite remote sensing and GIS modelling. Data from satellite missions of MODIS, SRTM and TRMM were used to describe the soil erosion factors of the Universal Soil Loss Equation in three river basins, and MERIS satellite data was used to estimate chlorophyll‐a and total suspended matter concentrations in the coastal zone of northwest Aegean Sea in Greece, where the rivers discharge. The resulting time series showed an average correlation of upstream rainfall with downstream water quality, which increased when soil erosion was introduced. Higher correlations were observed with the use of a time lag, revealing a variable delay between the three test sites. Lower correlation coefficients were observed for chlorophyll‐a, due to the sensitivity of algae to environmental conditions. The use of free of charge satellite data and easy to operate GIS models renders the findings of this work useful for coastal zone management bodies, in order to help increase aquaculture productivity, predict algal blooms and predict siltation of ports. Copyright © 2014 John Wiley & Sons, Ltd.</abstract><cop>Chichester</cop><pub>Wiley</pub><doi>10.1002/hyp.10373</doi><tpages>12</tpages></addata></record> |
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subjects | Algae algal blooms aquaculture chlorophyll chlorophyll-a coastal water coastal zone management coasts Correlation environmental factors erosion Geographic information systems GIS Mathematical models moderate resolution imaging spectroradiometer monitoring nutrients rain remote sensing River basins rivers Satellite navigation systems Satellites Soil erosion surface water time series analysis TSM Universal Soil Loss Equation Upstream USLE Water quality watersheds |
title | Investigation of the temporal relation of remotely sensed coastal water quality with GIS modelled upstream soil erosion |
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