Response of Stream Pollution Characteristics to Catchment Land Cover in Cao-E River Basin, China
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Large-scale risk screening of raw water quality in the context of drinking water catchments and integrated response strategies
2019, Environmental Science and PolicyCitation Excerpt :Arguments, such as ‘the uniqueness of place’ (Beven, 2000), suggests that efforts to model water quality risks for individual catchments will only have limited utility without a broader analytical framework in which to contextualise results and derive general inferences needed to develop catchment management plans within the framework of strategic policy goals for water resources (Everard and McInnes, 2013). Larger-scale approaches can infer specific water quality parameters based upon catchment characteristics (Davies and Neal, 2004; Rothwell et al., 2010), aided by use of statistical analysis to improve understanding of underlying drivers (e.g. Selle et al., 2013; Shen et al., 2011; Shi et al., 2017). Challenges and advantages of finding catchment commonalities and typologies are increasingly recognised in hydrological sciences, highlighting the need for large-scale approaches and pooling of datasets to help discriminate and categorise complex cause-effect relationships occurring in catchments in a non-stationary climate (e.g. Beven, 2016; Kundzewicz, 2018; Wagener et al., 2007).
Identifying the relationships between trophic states and their driving factors in the Shihmen Reservoir, Taiwan
2017, LimnologicaCitation Excerpt :Nutrient enrichments from point and nonpoint source pollutants discharged into water bodies frequently cause algal blooms, decrease dissolved oxygen (DO), and consequently inhibit the growth of aquatic organisms (Karul et al., 2000). In addition, algal bloom can reduce transparency (Havens, 2007; Yang et al., 2012) and increase facility costs associated with water purification (Chou et al., 2007; Shen et al., 2011). Therefore, understanding the factors reflecting the trophic states and reducing the probability of eutrophication occurrence has become an important concern in water resource management (Smakhtin, 2001).
Geographically weighted regression to measure spatial variations in correlations between water pollution versus land use in a coastal watershed
2015, Ocean and Coastal ManagementCitation Excerpt :Based on ordinary least squares (OLS) regression, the relationship between cropland and water pollution has been widely explored and conflicting conclusions have been drawn. On the one hand, agricultural land is usually considered to be an important nonpoint pollution source in less-urbanized sub-watersheds, and significant positive relationships are often observed between the percentage of cropland and water pollutants, especially nutrients, which result mainly from fertilizer application and livestock farming (Woli et al., 2004; Mehaffey et al., 2005; Stutter et al., 2007; Bahar et al., 2008; Shen et al., 2011; Wang et al., 2012). Using Pearson correlation analysis, we drew similar conclusions that NO3−–N is significantly positively correlated with the percentage of cropland in our study (Table 1).
Anthropogenic land uses elevate metal levels in stream water in an urbanizing watershed
2014, Science of the Total EnvironmentCitation Excerpt :While numerous studies have addressed urban sources of metal loading to stream water (Göbel et al., 2007), few have compared urban, agricultural and natural sources in mixed use watersheds. Shen et al. (2011) found that nutrient loads in urban reaches of the Cao-E River, China fluctuated with flow rate while agricultural reaches and mixed reaches had more consistent loads. Shields et al. (2008) found that in comparison with forested, agricultural, and even low-density suburban catchments, urbanized catchments exported more nitrogen at higher but less frequent flows.
Supported by the National Natural Science Foundation of China (No. 40871104) and the National High Technology Research and Development Program (863 Program) of China (No. 2007AA10Z218)