Abstract

The eutrophication issue in the Yangtze Basin was considered, and the phosphorus loads from its tributary, the Modaoxi River, were estimated. The phosphorus flux and source apportionment of the Modaoxi River watershed were modeled and quantified, and their changes with respect to future projected climate scenarios were simulated with multiple model applications. The Regional Nutrient Management (ReNuMa) model based on Generalized Watershed Loading Functions (GWLF) was employed as a tool to model the hydrochemical processes of the watershed and thereby estimate the monthly streamflow and the phosphorus flux as well as its source apportionment. The Long Ashton Research Station Weather Generator (LARS-WG) was used to predict future daily weather data through the statistical downscaling of the general circulation model (GCM) outputs based on projected climate scenarios. The synthetic time series of daily precipitation and temperatures generated by LARS-WG were further used as input data for ReNuMa to estimate the responses of the watershed hydrochemical processes to future changed climate conditions. The results showed that both models could be successfully applied and that the future wetter and warmer climate trends would have generally positive impacts on the watershed phosphorus yields, with greater contributions coming from runoff. These results could provide valuable support for local water environmental management.

Highlights

  • The excess phosphorus contribution and accumulation in the Yangtze Basin of China over the past several decades have resulted in great eutrophication risk [1,2]

  • The parameter set of the Long Ashton Research Station Weather Generator (LARS-WG) model suitable for the current climate status of this studied area was carried out based on sixty years of observed daily weather records, which were further updated using the HADCM3 outputs to represent the future climate status of various scenarios and periods

  • The results showed that the statistical characteristics of the synthetic series from LARS-WG were in accordance with the general circulation model (GCM) results for wetter and warmer trends of climate change in the future

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Summary

Introduction

The excess phosphorus contribution and accumulation in the Yangtze Basin of China over the past several decades have resulted in great eutrophication risk [1,2]. Understanding the source apportionment of phosphorus at the watershed scale is critical for regional management [7,8]. Previous studies have identified that non-point sources provide the main contribution of phosphorus to the Yangtze and its tributary [3,9,10]. Multiple and dynamic non-point sources, it is common to use suitable modeling tools for the estimation of phosphorus flux and source apportionment [11,12,13]. Studies of the responses of watershed non-point source pollution to changes in both natural and man-made factors have been widely implemented based on various

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