2018
DOI: 10.1016/j.scitotenv.2018.03.273
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Analysis of the environmental behavior of farmers for non-point source pollution control and management in a water source protection area in China

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Cited by 110 publications
(56 citation statements)
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“…Second, we further classified and merged these behaviors. At last, the principal users’ behaviors that affect the civilized cycling were determined (e.g., Wang Y. et al, 2018).…”
Section: Theoretical Framework and Hypotheses Developmentmentioning
confidence: 99%
“…Second, we further classified and merged these behaviors. At last, the principal users’ behaviors that affect the civilized cycling were determined (e.g., Wang Y. et al, 2018).…”
Section: Theoretical Framework and Hypotheses Developmentmentioning
confidence: 99%
“…The runoff monitoring point of this study did not have any human intervention in the plantation rows in the forestland, farmland, or vegetable gardens. Furthermore, the planting types, fertilization amounts, and fertilization methods were carried out according to the local farmers' historical planting habits [15][16][17]. Therefore, the establishment of runoff communities reflects the true situation of NPSP in the sub-watersheds of the reservoir area.…”
Section: Study Areamentioning
confidence: 99%
“…Third, differences in the spatial scale affect the identification accuracy of CSA. For large-scale watersheds, most CSAs are identified through sub-catchment units, which is an efficient approach for the identification of CSAs; however, it neglects the heterogeneity of NPS pollution load distribution in sub-catchments (Liu et al 2016b, Niraula et al 2013, Pradhanang &Briggs 2014, Ruan et al 2020, Wang et al 2018. Considering that administrative units (such as a county) or farms, which are distinct and disconnected with hydrological units, are used for management in most situations (Ghebremichael et al 2013, Li et al 2017, it is difficult to achieve accurate prevention and control of NPS pollution and to effectively allocate BMPs.…”
Section: Introductionmentioning
confidence: 99%