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[Estimated nutrient export loads based on improved export coefficient model in Xitiaoxi watershed].

Zhao-Fu Li¹, Gui-Shan Yang, Heng-Peng Li

¹College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China. lizhaofu@njau.edu.cn

Huan Jing Ke Xue= Huanjing Kexue

|May 13, 2009

Summary

Estimating nutrient export loads is crucial for watershed management. This study improved the export coefficient model (ECM) using field data and spatial analysis, providing key data for pollution control.

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Area of Science:

Environmental Science
Hydrology
Water Quality Management

Context:

Nutrient export loads from watersheds significantly impact water environmental management.
Accurate estimation is essential for effective nonpoint source pollution control.
The Taihu Lake area faces challenges in managing water quality due to watershed pollution.

Purpose:

To improve the export coefficient model (ECM) by incorporating field surveying data and spatial distributions of precipitation and runoff.
To develop a half-distribution model of export coefficients by integrating the improved ECM into a geographical information system (GIS).
To estimate nutrient export loads (total nitrogen and total phosphorus) in the Xitiaoxi watershed.

Summary:

Field data and spatial analysis of precipitation and runoff were used to enhance the export coefficient model (ECM).
The improved ECM was integrated into a GIS to create a half-distribution export coefficient model.
Nutrient export loads for total nitrogen (TN) and total phosphorus (TP) were estimated in the Xitiaoxi watershed.

Impact:

The study provides crucial estimates of TN (2,121.3 t) and TP (49.3 t) export loads for the Xitiaoxi watershed.
Findings offer valuable reference data for nonpoint source pollution management in the upper Taihu Lake region.
The enhanced modeling approach can improve water environmental management strategies in similar watershed systems.