Spatiotemporal associations between hand, foot and mouth disease and meteorological factors over multiple climate zones

Wang, Li; Xu, Chengdong; Wang, Jinfeng; Jia-jun, Qiao; Nalin, WU; Li, Li

doi:10.1007/s00484-023-02519-y

Cited by 1 publication

(2 citation statements)

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“…The spatial representation of the complicated coupling process of natural and social forces is spatial differentiation [41]. The geographical detector model was employed to assess the impact of rural socioeconomic factors on NPS pollution through spatial variation analysis of the geographical strata.…”

Section: Geographical Detectormentioning

confidence: 99%

“…It is necessary to explore the scale effect in multi-scale research. In the analysis of natural processes and rural multifunctional development, the spatial granularity of the two variables, Y and X, is often varied [41]. In this paper, the dependent variable Y (NPS pollution intensity) is an environmental variable that is generally formed based on natural boundaries such as hydrological watersheds or terrain units.…”

Section: The Impact Of Rural Multifunctionality On Nps Pollutionmentioning

confidence: 99%

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Assessing the Impact of Rural Multifunctionality on Non-Point Source Pollution: A Case Study of Typical Hilly Watershed, China

Yan,

Duan,

Kang

et al. 2023

Land

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In the context of rural development and transformation, it is crucial to identify the impact of rural multifunctionality on non-point source (NPS) pollution. This study applies the Soil and Water Assessment Tool (SWAT), geographical detector, and principal component analysis in Liyang, a typical hilly subbasin in China, in order to assess the rural multifunctional development that influences the spatial differentiation of NPS pollution and detect the interactive effects of rural multifunctionality. The R2 and NSE demonstrated that the calibrated SWAT model successfully simulated NPS pollution in Liyang. The village scale was identified as the optimal research scale for examining the rural multifunctional development on NPS pollution distribution. The rural multifunctional indicators, such as the proportion of vegetable farming, sowing area, and grain farming, would influence NPS distribution. The number of family farming cooperatives, the area of pond farming, and the nature reserves area were also significant. The rural multifunctionality in Liyang could be classified into five categories: grain production, mixed agriculture, ecological conservation, leisure tourism, and industry and business function. The superposition of rural multifunctionality has a strengthening effect on NPS pollution, especially when the ecological conservation function is combined with the grain production or modern agriculture function. The study could provide NPS pollution control strategies for policymaking in rural multifunctional development.

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Section: Geographical Detectormentioning

confidence: 99%

Section: The Impact Of Rural Multifunctionality On Nps Pollutionmentioning

confidence: 99%