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Environmental science and pollution research international
May, 2015;22 (9): 6989-7001.

Estimation of nutrient sources and transport using Spatially Referenced Regressions on Watershed Attributes: a case study in Songhuajiang River Basin, China.

Xue Li, Christopher Wellen, Guangxun Liu, Yuqiu Wang, Zhong-Liang Wang
Author Information
  1. Xue Li: College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China.
PMID: 25483972 DOI: 10.1007/s11356-014-3903-7

Abstract

We report here the first application of the Spatially Referenced Regressions on Watershed Attributes (SPARROW) model to China, a country naturally and culturally distinct from previous SPARROW applications. The Songhuajiang River Basin (556,700 km(2)) empties into the Tongjiang monitoring section, a shared water resource of great import for both Chinese and Russian citizens. The model was calibrated to annual loads of total nitrogen (TN) at 102 sites and total phosphorus (TP) at 65 sites. We assessed the rates of delivery and loss of nutrients from diffuse sources and also provided reach-level predictions of the percentage of nutrient loads delivered from upstream subbasins to Tongjiang monitoring section. The results indicated that farmland and pasture land were responsible for about 70 % of nutrient inputs to the Tongjiang monitoring section. Point source inputs were not statistically significant sources of TN or TP. We presented evidence that rice paddies delivered less TN to streams per area than other types of cropland. The locations responsible for the highest TN and TP inputs to the Tongjiang monitoring section tended to be located near the mainstream, though the areas of highest TN delivered yield did not correspond to the areas of highest TP delivered yield. This suggests that different management priorities may be needed in different parts of the Songhuajiang River Basin.

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MeSH Term

China
Environmental Monitoring
Models, Theoretical
Nitrogen
Phosphorus
Regression Analysis
Rivers
Water Pollutants, Chemical
Water Quality
Water Supply

Chemicals

Water Pollutants, Chemical
Phosphorus
Nitrogen
Journal Article Research Support, Non-U.S. Gov't

Word Cloud

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