2012
DOI: 10.1016/j.jhydrol.2012.08.022
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Impacts of climate and land-use changes on the migration of non-point source nitrogen and phosphorus during rainfall-runoff in the Jialing River Watershed, China

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Cited by 159 publications
(61 citation statements)
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“…In southeastern Pennsylvania (U.S.), Chang (2004) determined climate change to increase the simulated N and P loads due to increasing precipitation amounts, whereby expanding urban areas increased N and P loads more than agricultural land use expansion did, and increasing the forested areas decreased the N loads. In a watershed in China, Wu et al (2012) determined that the impacts of climate change were greater than the impacts of higher livestock density on increasing N and P loads.…”
Section: Introductionmentioning
confidence: 99%
“…In southeastern Pennsylvania (U.S.), Chang (2004) determined climate change to increase the simulated N and P loads due to increasing precipitation amounts, whereby expanding urban areas increased N and P loads more than agricultural land use expansion did, and increasing the forested areas decreased the N loads. In a watershed in China, Wu et al (2012) determined that the impacts of climate change were greater than the impacts of higher livestock density on increasing N and P loads.…”
Section: Introductionmentioning
confidence: 99%
“…In modelling studies conducted in temperate regions, when intensifying agricultural practices where combined with climate change simulations, a tendency towards increased surface runoff and degrading water quality was simulated. In the Jialing River watershed (China), developing livestock and poultry areas combined with future climate simulations increased N and P loads (Wu et al, 2012). In southern Ontario (Canada), increasing agricultural areas combined with climate change led to higher NO 3 À , organic P and mineral P (El-Khoury et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Section S1 of the supplementary material shows the methodology of the TSP model. Moreover, the nutrient retention coefficient denotes the proportion of nutrients transferred into water bodies, and previous studies have shown that it has fuzzy features (Ding et al, 2010;Pieterse et al, 2003;Vassiljev and Staelnacke, 2005;Wu et al, 2012). In general, this coefficient differs for different watersheds in published literature.…”
Section: Fuzzy-stochastic Two-stage Programming Methodsmentioning
confidence: 99%
“…Furthermore, nutrient retention coefficients (h N andh P ) can be designed as fuzzy setsDing et al, 2010;Vassiljev and Staelnacke, 2005;Wu et al, 2012).…”
mentioning
confidence: 99%