Multivariate-statistics-and-isotope-based identification method for nitrogen pollution source of underground water in mixed region

A technology of multivariate statistics and identification methods, applied in the field of environmental protection, can solve the problems of fuzzy identification results of traditional pollution sources, complex sources, and inability to effectively quantify the law of nitrogen migration and transformation, so as to achieve quantitative pollution sources and contribution rates, strong pertinence, The effect of improving the ecological environment

Active Publication Date: 2021-01-22
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

[0009] Aiming at the complex, random and spatio-temporal heterogeneity of groundwater nitrogen pollution sources in mixed-use areas, the fuzzy identification results of traditional pollution sources, and the inability to effectively quantify nitrogen migration and transformation laws, the purpose of the present invention is to organically combine multivariate statistics and stable isotope Technology, starting from the "three nitrogen" pollution and the spatio-temporal variability of environmen

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  • Multivariate-statistics-and-isotope-based identification method for nitrogen pollution source of underground water in mixed region
  • Multivariate-statistics-and-isotope-based identification method for nitrogen pollution source of underground water in mixed region
  • Multivariate-statistics-and-isotope-based identification method for nitrogen pollution source of underground water in mixed region

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Abstract

The invention discloses a multivariate- statistics-and-isotope-based identification method for a nitrogen pollution source of underground water in a mixed region. The method starts from underground water three-nitrogen content space-time distribution and potential influence, and carries out qualitative analysis of pollution source composition to quantitative analysis of pollution source contribution rate and nitrogen migration and transformation rules by means of a multivariate statistics and stable isotope technology. And finally, the effectiveness of pollution source identification is identified in combination with an underground water diffusion model, and a set of complete pollution source identification method of pollution preliminary detection, qualitative analysis and quantitative analysis result verification is constructed. According to the method, distribution, sources and influence factors of groundwater pollution in the mixing region can be deeply analyzed, specific pollutionsources under different land types and contribution degrees of the specific pollution sources to groundwater nitrogen can be quantitatively calculated, and reasonable, feasible and highly-targeted groundwater pollution control and water environment protection measures are provided; the positive effect is achieved on the improvement of the ecological environment.

Description

technical field [0001] The invention belongs to the field of environmental protection, and in particular relates to a method for identifying nitrogen pollution sources of groundwater in mixed areas based on multivariate statistics and isotopes. Background technique [0002] Compared with surface water, groundwater has the characteristics of being concealed and difficult to repair, and people have paid little attention to its pollution for a long time. However, the discharge and infiltration of industrial and mining enterprises, agricultural production, and domestic sewage from residents will deteriorate the quality of groundwater. my country's long-term excessive use of chemical fertilizers, sewage irrigation, livestock and poultry breeding, industrial enterprises and unorganized discharge of domestic sewage and wastewater have made the problem of groundwater nitrogen pollution more and more serious. Especially in some areas with mixed land types, the source of groundwater ...

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Application Information

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IPC IPC(8): G16C20/30G16C20/70G16C20/10G06Q10/06G06Q50/26
CPCG16C20/30G16C20/70G16C20/10G06Q10/06393G06Q50/26Y02A20/152
Inventor 张涵许懿程思茜李红菲于浩冉
Owner SOUTHWEST JIAOTONG UNIV
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