Identification of key factors and zonation for nonpoint source pollution controlin Chaohe River watershed
GENG Run-zhe1,2, WANG Xiao-yan1,3, PANG Shu-jiang1, YIN Pei-hong2
1. College of Resources, Environment and Tourism, Capital Normal University, Beijing 100048, China;
2. Policy Research Center for Environment and Economy, Ministry of Environmental Protection, Beijing 100029, China;
3. Research Center of Aquatic Environment in the Capital Region, Capital Normal University, Beijing 100048, China
Non-point source pollution(NPS) had deteriorated water quality in Miyun Reservoir watershed. GIS technology, ArcSWAT model, and statistics analysis were coupled to identify the zonation of NPS control in Chaohe river watershed, one main tributary in northeast of Miyun Reservoir watershed, with relative strong intensive agricultural activities. The results showed that annual average loads of TN and TP were 563.3t/a and 28.7t/a, respectively. The spatial distribution of NPS pollution load was greatly diverse with different precipitation and terrain in Chao river watershed. In high flow year, the agricultural land at higher elevation had the highest NPS pollution loads, whereas in the normal and low flow year, the agricultural land and livestock area also contribute the major pollution load; the fertilizer application amount was identified as the most important factor of TN and TP loss. Meanwhile, the slope length, soil type, land use, and slope degree were also more important factors; The content of organic P in soil may contribute to TP loss due to long term cultivation and overuse of fertilizer in Chaohe river watershed; Three zones for NPS control in Chaohe river watershed were divided as pollution control zone where the agricultural activities was intensive, pollution treatment zone where was livestock breeding area and villages, ecological restoration zone where was high soil erosion at higher elevation.
Maguire R O, Rubaek G H, Haggard B E, et al. Critical evaluation of the implementation of mitigation options for phosphorus from field to catchment scales[J]. J. Environ. Qual., 2009,38(5):1989-97.
[3]
Besalatpour A M A, Hajabbasi S, Ayoubi A Jalalian. Identification and prioritization of critical sub-basins in a highly mountainous watershed using SWAT model[J]. Eurasian Journal of Soil Science, 2012,1:58-63.
Liu G, Wu W, Zhang J. Regional differentiation of non-point source pollution of agriculture-derived nitrate nitrogen in groundwater in northern China[J]. Agriculture, Ecosystems & Environment, 2005,107(2):211-220.
[7]
段华平.农业非点源污染控制区划方法及其应用研究[D]. 南京:南京农业大学, 2010.
[8]
Cox C C Madramootoo. Application of geographic information systems in watershed management planning in St. Lucia[J]. Computers and Electronics in Agriculture, 1998,20(3):229-250.
[9]
Zhou F, Liu Y, Huang K, et al. Water environmental function zoning at watershed scale and its key problems[J]. Advances in Water Science, 2007,18(2):216.
[10]
Zhang B, Luo H, Wang Z. Watershed environmental management framework based on economic theory[J]. Chinese Journal of Population Resources and Environment, 2014,12(4):361-365.
[11]
Jang C-S. Using probability-based spatial estimation of the river pollution index to assess urban water recreational quality in the Tamsui River watershed[J]. Environmental Monitoring and Assessment, 2016.188(1):1-17.
[12]
Sutherland G D, Waterhouse F L, Smith J, et al. Developing a systematic simulation-based approach for selecting indicators in strategic cumulative effects assessments with multiple environmental valued components[J]. Ecological Indicators, 2016.61:512-525.
[13]
Cecchi G, Munafò M, Baiocco F, et al. Estimating river pollution from diffuse sources in the Viterbo province using the potential non-point pollution index[J]. Annali dell'Istituto Superiore di Sanita, 2006,43(3):295-301.
Arnold J G, Srinivasan R, Muttiah R S, et al. Large area hydrologic modeling and assessment part I:Model development1[J]. JAWRA Journal of the American Water Resources Association, 1998,34(1):73-89.
[19]
Arabi M, Frankenberger J R, Engel B A, et al. Representation of agricultural conservation practices with SWAT[J]. Hydrological Processes, 2008,22(16):3042-3055.
[20]
Moriasi D, Arnold J, Van Liew M, et al. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations[J]. Trans. ASABE, 2007,50(3):885-900.
Geng R, Wang X, Duan S, et al. Application of improved export coefficient model in estimating non-point source nutrient load from Miyun reservoir watersheds[J]. Acta Scientiae Circumstantiae, 2013,33(5):1484-1492.
[26]
Wang X, Zhang Y, Ou Y. Predicting effectiveness of best management practices for control of nonpoint source pollution——a case of Taishitun Town, Miyun County, Beijing[J]. Acta Scientiae Circumstantiae, 2009,29(11):2440-2450.
