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
Hauptverfasser: Alexandridis, T. K, Monachou, S, Skoulikaris, C, Kalopesa, E, Zalidis, G. C
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container_start_page 2373
container_title Hydrological processes
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creator Alexandridis, T. K
Monachou, S
Skoulikaris, C
Kalopesa, E
Zalidis, G. C
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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source Wiley Online Library - AutoHoldings Journals
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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