An identification method of potential risk for agricultural non-point source pollution in the Haihe River Basin
YANG Jin-feng1, FENG Ai-ping2, WANG Xue-lei2, Li Xin-rong1, WANG Chang-zuo2, TIAN Zhuang1
1. Beijing Academy of Agriculture and Forestry Sciences, Institute of Plant Nutrition and Resources, Beijing 100097, China; 2. Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing 100094, China
Abstract：Based on a comprehensive analysis of the source and sink factors of agricultural non-point source pollution risk, eight main factors leading to the agricultural non-point source pollution, which were annual precipitation, dissolved non-point source pollutant inflow coefficient, granular non-point source pollutant inflow coefficient, annual vegetation coverage, slope, soil erodibility factor, nitrogen and phosphorus balance of farmland, were identified. Moreover, an identification index system of the potential risk for agricultural non-point source pollution was established. The multi-factor comprehensive analysis method was used to evaluate the risk of agricultural non-point source pollution in the Haihe River Basin. The results were compared with the risk identification results of Diffuse pollution estimation with remote sensing (DPeRS) model using deviation analysis. It showed that 61.91% of the Haihe River Basin had potential risks of agricultural non-point source pollution. It was concentrated in the central and southern regions of the basin. Among which were high-risk areas including the southeast of Beijing, the central part of Tianjin, the northeastern part of Shandong and the southern part of the Henan within the basin. Comparing the results with that of DPeRS model, the area of the same risk level regions differed by no more than 12%, and the area of high-risk regions differed by only 0.12%, and there were little or no deviation for more than 97.17% of the regions. It was shown that the identification method had the same accuracy as the DPeRS model method for identifying potential risks of agricultural non-point source pollution, making rapid and efficient identification of potential risks of regional agricultural non-point source pollution possible.
杨金凤, 冯爱萍, 王雪蕾, 李新荣, 王昌佐, 田壮. 海河流域农业面源污染潜在风险识别方法[J]. 中国环境科学, 2021, 41(10): 4782-4791.
YANG Jin-feng, FENG Ai-ping, WANG Xue-lei, Li Xin-rong, WANG Chang-zuo, TIAN Zhuang. An identification method of potential risk for agricultural non-point source pollution in the Haihe River Basin. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(10): 4782-4791.
Ouyang W, Gao X, Wei P, et al. A review of diffuse pollution modeling and associated implications for watershed management in China[J]. Journal of Soils and Sediments, 2017,17(6):1527-1536.
[2]
Wei P, Ouyang W, Hao F H, et al. Combined impacts of precipitation and temperature on diffuse phosphorus pollution loading and critical source area identification in a freeze-thaw area[J]. Science of the Total Environment, 2016,553(3):607-616.
[3]
朱梅,吴敬学,张希三.海河流域种植业非点源污染负荷量估算[J]. 农业环境科学学报, 2010,29(10):1907-1915.Zhu M, Wu J X, Zhang X S. Estimation on non-point source pollution loads of crop farming in Hai Basin[J]. Journal of Agro-Environment Science, 2010,29(10):1907-1915.
[4]
徐敏,陈岩,赵琰鑫,等.流域空间属性关联模型(SPARROW模型)理论方法与应用案例[M]. 北京:中国环境出版社, 2013.Xu M, Chen Y, Zhao Y X, et al. Theoretical method and application case of watershed spatial attribute association model (SPARROW model)[M]. Beijing:China Environment press, 2013.
[5]
李开明,任秀文,黄国如,等.基于AnnAGNPS模型泗合水流域非点源污染模拟研究[J]. 中国环境科学, 2013,33(S1):54-59.Li K M, Ren X W, Huang G R, et al. Simulation of non-point source pollution in Sihe watershed with Ann AGNPS[J]. China Environmental Science, 2013,33(S1):54-59.
[6]
秦耀民,胥彦玲,李怀恩.基于SWAT模型的黑河流域不同土地利用情景的非点源污染研究[J]. 环境科学学报, 2009,29(2):440-448.Qin Y M, Xu Y L, Li H E.SWAT model of non-point source pollution under different land use scenarios in the Heihe river basin[J]. Acta Scientiae Circumstantiae, 2009,29(2):440-448.
[7]
Chang C L, Li M Y.Predictions of diffuse pollution by the HSPF model and the back-propagation neural network model[J]. Water Environment Research, 2017,8:732-738.
[8]
周徐海,王宁,郭红岩,等.农业非点源污染潜力指数系统(APPI)在太湖典型区域的应用[J]. 农业环境科学学报, 2006,25(4):1029-1034.Zhou X H, Wang N, Guo H Y, et al. Preliminary application of agricultural non-point source pollution potential index in typical area of Taihu Lake[J]. Journal of Agro-Environment Science, 2006,25(4):1029-1034.
[9]
曹昕鑫.基于APPI指数系统的旱作农田面源污染发生潜力及优先控制区识别-以沙颍河流域为例[D]. 合肥:安徽大学, 2013.Cao X X. Analysis on characteristics and evaluation of agricultural non-point source pollution potential and in typical dry farmland area of Shayin river catchment based on APPI[D]. Hefei:Anhui University, 2013.
[10]
Zhang W W, Ma Y H, Lu Q, et al. Nutrient loss from farmland:research on and application of phosphorus index method[J]. Agricultural Science &technology, 2015,16(2):262-265.
[11]
李琪,陈利顶,齐鑫,等.妫水河流域农耕区非点源磷污染危险性评价与关键源区识别[J]. 环境科学, 2008,29(1):32-37.Li Q, Chen LD, Qi X, et al. Identification of critical area of phosphorus loss in agricultural areas of Guishui river watershed by phosphorus loss risk assessment[J]. Environmental Science, 2008, 29(1):32-37.
[12]
宋月君,吴胜军,刘永美,等.基于GIS技术的农用地非点源磷污染危险性评价-以长江流域为例[J]. 测绘科学, 2009,34(3):164-166.Song Y J, Wu S J, Liu Y M, et al. Risk appraisal to the non-point source phosphorus pollution of agriculture land based on the GIS technology-A case study of Yangtze basin[J]. Science of Surveying and Mapping, 2009,34(3):164-166.
[13]
刘建昌,严岩,刘峰,等.基于多因子指数集成的流域面源污染风险研究[J]. 环境科学, 2008,29(3):599-606.Liu J C, Yan Y, Liu F, et al. Risk assessment and safety evaluation using system normative indexes integration method for non-point source pollution on watershed scale[J]. Environmental Science, 2008,29(3):599-606.
[14]
吕川,张洪钰,齐琳.辽河源头区流域农业非点源污染风险评价与关键源区识别[J]. 江西农业大学学报, 2014,36(3):670-677.Lv C, Zhang H Y, Qi L. Critical source area identification and risk assessment of agricultural non-point source pollution of the source areas of Liaohe river watershed[J]. Acta Agriculturae Universitatis Jiangxiensis, 2014,36(3):670-677.
[15]
王晓燕.非点源污染及其管理[M]. 北京:海洋出版社, 2003.Wang X Y. Non-point source pollution and management[M]. Beijing:China Ocean Press, 2003.
[16]
刘志红,Li L T, McVicar T R,等.专用气候数据空间插值软件ANUSPLIN及其应用[J]. 气象, 2008,34(2):92-100.Liu Z H, Li L T, McVicar T R, et al. introduction of the professional interpolation software for meteorology data:ANUSPLIN[J]. Meteorological Monthly, 2008,34(2):92-100.
[17]
王雪蕾,王桥,吴传庆,等.国家尺度面源污染业务评估与应用示范[M]. 北京:科学出版社, 2015:10-115.Wang X L, Wang Q, Wu C Q, et al. Assessment and application of national diffuse pollution management[M]. Beijing:Science Press, 2015:10-115.
[18]
Jiménez-Muñoz J C, Sobrino J A, Plaza A, et al. Comparison between fractional vegetation cover retrievals from vegetation indices and spectral mixture analysis:Case study of PROBA/CHRIS data over an agricultural area[J]. Sensors, 2009,9(2):768-793.
[19]
王雪蕾,吴传庆,冯爱萍,等.利用DPeRS模型估算巢湖流域氨氮和化学需氧量的面源污染负荷[J]. 环境科学学报, 2015,35(9):2883-2891.Wang X L, Wu C Q, Feng A P, et al. Application of DPeRS model on estimation of non-point source pollution load of ammonia nitrogen and chemical oxygen demand in Chao Lake basin[J]. Acta Scientiae Circumstantiae, 2015,35(9):2883-2891.
[20]
PoliD. General model for airborne and spacebome linear array sensors[J]. International Archives of Photogrammetry and Remote Sensing, 2002,34(B1):177-182.
[21]
Zhang K L, Peng W Y and Yang H L. Soil erodibility and its estimation for agricultral soil in China[J]. Acta Pedologica Sinica, 2007,44(1):7-13.
[22]
王雪蕾,王新新,朱利,等.巢湖流域氮磷面源污染与水华空间分布遥感解析[J]. 中国环境科学, 2015,35(5):1511-1519.Wang X L, Wang X X, Zhu L, et al. Spatial analysis on diffuse pollution and algal bloom characteristic with remote sensing in Chao Lake Basin[J]. China Environmental Science, 2015,35(5):1511-1519.
[23]
Wang X L, Feng A P, Wang Q, et al. Spatial variability of the nutrient balance and related NPSP risk analysis for agro-ecosystems in China in 2010[J]. Agriculture, Ecosystems and Environment, 2014,193:42-52.
[24]
Gburek W J, Sharpley A N, Heathwaite L, et al. Phosphorus management at the watershed scale:A modification of the phosphorus index[J]. Journal of Environmental Quality, 2000,29:135-140.
[25]
全国农业区划委员会.土地利用现状调查技术规程[EB/OL]. https://max.book118.com/html/2018/1231/6111142204001242.shtm,1984-09-09/2020-10-04. National Agricultural Zoning Commission. Technical regulations for land use status investigation[EB/OL]. https://max.book118.com/html/2018/1231/6111142204001242.shtm,1984-09-09/2020-10-04.
[26]
符素华,刘宝元,周贵云,等.坡长坡度因子计算工具[J]. 中国水土保持科学, 2015,13(5):105-110.Fu S H, Liu B Y, Zhou G Y, et al. Calculation tool of topographic factors[J]. Science of Soil and Water Conservation, 2015,13(5):105-110.
[27]
Wang X L, Wang Q, Wu C Q, et al.A method coupled with remote sensing data to evaluate non-point source pollution in the Xin'anjiang catchment of China[J]. Science of the Total Environment, 2012, 430:132-143.
[28]
冯爱萍,吴传庆,王雪蕾,等.海河流域氮磷面源污染空间特征遥感解析[J]. 中国环境科学, 2019,39(7):2999-3008.Feng A P, Wu C Q, Wang X L, et al. Spatial character analysis on nitrogen and phosphorus diffuse pollution in Haihe River Basin by remote sensing[J]. China Environmental Science, 2019,39(7):2999-3008.
[29]
王雪蕾,蔡明勇,钟部卿,等.辽河流域非点源污染空间特征遥感解析[J]. 环境科学, 2013,34(10):3788-3796.Wang X L, CAI M Y, Zhong B Q, et al. Research on spatial characteristic of non-point source pollution in Liaohe River Basin[J]. Environmental Science, 2013,34(10):3788-3796.
[30]
冯爱萍,王雪蕾,徐逸,等.基于DPeRS模型的海河流域面源污染潜在风险评估[J]. 环境科学, 2020,41(10):4555-4563.Feng A P, Wang X L, XU Y, et al. Assessment of potential risk of diffuse pollution in Haihe River Basin based using DPeRS model[J]. Environmental Science, 2020,41(10):4555-4563.
