Stream Distance-Based Geographically Weighted Regression for Exploring Watershed Characteristics and Water Quality Relationships

• Published in: Annals of the American Association of Geographers Vol. 113; no. 2; pp. 390 - 408
• Main Authors: Mainali, Janardan, Chang, Heejun, Parajuli, Rabindra
• Format: Journal Article
• Language: English
• Published: Washington Routledge 07.02.2023; Taylor & Francis Ltd
• Subjects: Autocorrelation; calidad del agua; Coefficients; Creeks & streams; Distance; distancia entre corrientes; escala; hydrological processes; Hydrology; Mathematical models; Parameters; procesos hidrológicos; red espacial; Regression; River basins; Rivers; scale; Sexually transmitted diseases; Solid suspensions; Spatial analysis; spatial network; STD; stream distance; Suspended particulate matter; Total suspended solids; Upstream; Water; Water quality; Watersheds; 尺度; 水文过程; 水质; 河流距离; 空间网络

We developed a novel spatial stream network geographically weighted regression (SSN-GWR) by incorporating stream-distance metrics into GWR. The model was tested for predicting seasonal total nitrogen (TN) and total suspended solids (TSS) concentrations in relation to watershed characteristics for 10...