Abstract

Abstract The identification of unknown groundwater pollution sources is one of the most important premises in groundwater pollution prevention and remediation. In this paper, an exploratory application of a least squares method to identify the unknown groundwater pollution source is conducted. Supported by a small amount of observation data and the analytical solutions of the pollutant transport model, the initial concentration, the leakage location and the pollutant mass are identified by using the least squares method under a sand tank experiment and a gas station area. In the sand tank experiment, it is found that the fitting errors of three cross-sections are within 6%. In the gas station area, it is found that the results are nearly consistent with the site investigation information. The results indicate that the least squares method has considerable application values in the identification of groundwater pollution sources.

Highlights

  • Groundwater pollution could cause harm to human health, ecosystem and other environment, which has resulted in great urgency for protecting groundwater environments

  • This paper explores the application of the least squares method in the identification of groundwater pollution sources

  • Based on the theory of groundwater solute transport, the process of using the least squares method to identify groundwater pollution sources is about finding out the relevant parameters of pollution sources combined with the mathematical model of groundwater solute transport multivariate nonlinear regression

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Summary

Introduction

Groundwater pollution could cause harm to human health, ecosystem and other environment, which has resulted in great urgency for protecting groundwater environments. The investigation of groundwater pollution sources is the premise of groundwater pollution remediation. The cost of acquiring the information on. Groundwater pollution source identification includes the identification of location, type, concentration and the diffusion range of the pollutant (Gu et al ), which can make up for the above shortcomings effectively. The identification of groundwater pollution sources becomes one of the most important premise tasks in groundwater. He et al | Least squares method and groundwater pollution source

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