Establishment and application of the estimation model for pollutant concentrfation in agriculture drain

International Conference on Energy Engineering and Environmental Protection 2017

能源学;生态环境科学

Li, Qiangkun^1,2 ; Hu, Yawei^1,2 ; Jia, Qian^2 ; Song, Changji^2

Xi'An University of Technology, X'ian, Shaanxi, China^1

Yellow River Institute of Hydraulic Research, YRCC, Zhengzhou, Henan, China^2

关键词: Adjusting parameters;    Agricultural non-point source pollutions;    Inverse Gaussian distribution;    Irrigation districts;    Nash-Sutcliffe coefficient;    Pollutant concentration;    Quantitative research;    Uncertainty theory;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/121/3/032046/pdf
DOI  :  10.1088/1755-1315/121/3/032046

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

It is the key point of quantitative research on agricultural non-point source pollution load, the estimation of pollutant concentration in agricultural drain. In the guidance of uncertainty theory, the synthesis of fertilization and irrigation is used as an impulse input to the farmland, meanwhile, the pollutant concentration in agricultural drain is looked as the response process corresponding to the impulse input. The migration and transformation of pollutant in soil is expressed by Inverse Gaussian Probability Density Function. The law of pollutants migration and transformation in soil at crop different growth periods is reflected by adjusting parameters of Inverse Gaussian Distribution. Based on above, the estimation model for pollutant concentration in agricultural drain at field scale was constructed. Taking the of Qing Tong Xia Irrigation District in Ningxia as an example, the concentration of nitrate nitrogen and total phosphorus in agricultural drain was simulated by this model. The results show that the simulated results accorded with measured data approximately and Nash-Sutcliffe coefficients were 0.972 and 0.964, respectively.