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Mitigating environmental risks: Modeling the interaction of water quality parameters and land use cover
Institution:1. Coastal and Ocean Management Institute, Xiamen University, Xiamen 361102, China;2. Fujian Provincial Key Laboratory of Coastal Ecology and Environmental Studies, Xiamen University, Xiamen 361102, China;3. Graduate School of Geography, Clark University, Worcester, MA 01610, USA
Abstract:Understanding the relationship between rivers water quality (RWQ) and landscape metrics (LMs) is valuable for developing sustainable watershed management practices and pollution/environmental risk mitigation. To do so, the current study aimed to explore the relationship between RWQ and LMs by assessing 74 sub-basins within 2 million ha in Northern Iran. Principal component analyses were used to identify principal water quality parameters. Considering the effect of composition and configuration of the Land Use/Land Cover (LULC) on pollution loads, statistical models revealed that by increasing the mean of the Fractal Dimension Index of agricultural lands, the nitrate loads will increase. The results of this study can be especially used in the environmental impact/risk assessment of new industrial and residential applications. Also, the findings of the current study could provide a perfect source for calculations and choosing the best policy making decisions.
Keywords:Caspian Sea  Landscape metrics  Environmental risk mitigation  Nonpoint source pollution  Sustainable watershed management  River water quality
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