[Estimation of nonpoint source pollutant loads and optimization of the best management practices (BMPs) in the Zhangweinan River basin]

Huan Jing Ke Xue. 2013 Mar;34(3):882-91.
[Article in Chinese]

Abstract

One of the key techniques in establishing and implementing TMDL (total maximum daily load) is to utilize hydrological model to quantify non-point source pollutant loads, establish BMPs scenarios, reduce non-point source pollutant loads. Non-point source pollutant loads under different years (wet, normal and dry year) were estimated by using SWAT model in the Zhangweinan River basin, spatial distribution characteristics of non-point source pollutant loads were analyzed on the basis of the simulation result. During wet years, total nitrogen (TN) and total phosphorus (TP) accounted for 0.07% and 27.24% of the total non-point source pollutant loads, respectively. Spatially, agricultural and residential land with steep slope are the regions that contribute more non-point source pollutant loads in the basin. Compared to non-point source pollutant loads with those during the baseline period, 47 BMPs scenarios were set to simulate the reduction efficiency of different BMPs scenarios for 5 kinds of pollutants (organic nitrogen, organic phosphorus, nitrate nitrogen, dissolved phosphorus and mineral phosphorus) in 8 prior controlled subbasins. Constructing vegetation type ditch was optimized as the best measure to reduce TN and TP by comparing cost-effective relationship among different BMPs scenarios, and the costs of unit pollutant reduction are 16.11-151.28 yuan x kg(-1) for TN, and 100-862.77 yuan x kg(-1) for TP, which is the most cost-effective measure among the 47 BMPs scenarios. The results could provide a scientific basis and technical support for environmental protection and sustainable utilization of water resources in the Zhangweinan River basin.

Publication types

  • English Abstract
  • Research Support, Non-U.S. Gov't

MeSH terms

  • China
  • Cost-Benefit Analysis
  • Crops, Agricultural / growth & development
  • Environmental Monitoring*
  • Fertilizers
  • Nitrogen / analysis
  • Phosphorus / analysis
  • Rain*
  • Rivers
  • Water Movements
  • Water Pollutants, Chemical / analysis*
  • Water Pollution / economics
  • Water Pollution / prevention & control
  • Water Pollution / statistics & numerical data*

Substances

  • Fertilizers
  • Water Pollutants, Chemical
  • Phosphorus
  • Nitrogen