作者: Omar I. Abdul‐Aziz , Shakil Ahmed
DOI: 10.1002/2017GH000058
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摘要: A systematic data-analytics was employed to determine the relative linkages of stream water quality and environmental health with land use hydrologic drivers in coastal-urban watersheds southeast Florida. Power-law based partial least squares regression (PLSR) models were developed reliably estimate by appropriately resolving multicollinearity (Nash-Sutcliffe Efficiency, NSE = 0.72-0.95). The analytics indicated Everglades as external largest source total nitrogen (TN) streams for both wet (June-October) dry (November-May) seasons. ‘external driver’ exhibited 1.5-2 times stronger control on TN than that watershed ‘land use’, ‘hydrology’, ‘upstream reach’ contributions. In contrast, appeared be a minor in-stream phosphorus (TP), which predominantly controlled internal processes. TP most strongly linked upstream reach concentrations uses seasons, respectively. Despite built-up fraction (74%) study area, agricultural substantial nutrients. algal biomass (Chla) limiting nutrient. Stream dissolved oxygen (DO) influenced adjacent groundwater depth uses, respectively, estimated insights would useful identify management targets priorities achieve healthy ecosystems Florida around world. This article is protected copyright. All rights reserved.