Abstract

Based on the comprehensive analysis of hydrogeological data of the Dawu water source in Zibo city, the Modflow module in Groundwater Modeling System is used to carry out three-dimensional geological modeling of the Dawu water source, and the flow field model and solute transport model of the Dawu water source are established. Aiming at the problem of groundwater pollution in the key polluted area of the Hougao region—the Dawu water source—the pollutant transport model is established to explore the process of pollution transport. There are many types of groundwater pollutants in the Hougao area. Among them, ammonia nitrogen, chloride, petroleum, and benzene exceed the standard most seriously. In order to facilitate the research, we selected typical pollutants for in-depth study. The ammonia nitrogen is used as the control index of domestic and industrial waste water in the policy documents of pollution emission. It can show the specific situation of industrial waste water and domestic waste water pollution changing with time. Thus, the ammonia nitrogen with a higher exceeding standard is selected as the pollution factor in this simulation. Pollutant transport under the conditions of strong pumping and stop pumping is simulated. It is found that the pollutant is effectively controlled due to the pumping and discharging effects under the action of strong pumping, from 4 to 5 times exceeding the standard to slightly exceeding the standard. However, there is still a trend of migration to the eastern water supply area. After the pumping is stopped, the pollutant quickly migrates to the Xixia centralized water supply area, causing serious pollution to the water supply area. Finally, four other hydraulic interception wells are set up in the 500 m east of Hougao’s four wells to further control the pollutant transport. When hydraulic interception wells and strong pumping wells are used together, the scope of ammonia nitrogen pollution is basically controlled near the interception wells, and it does not continue to spread to the eastern water supply area. The maximum monitoring value of pollution is 0.11 mg/L, which is controlled within the standard limit of three types of groundwater, and the pollutant control effect is the best, providing certain reference for similar pollution control work.

Highlights

  • The Dawu water source area is a rare super-large underground water source area in Northern. It is the main source of urban water supply to Zibo city, which has important strategic significance for a water resource guarantee and water supply security for Zibo city [1]

  • The ammonia nitrogen was taken as an example, and the transport and

  • The ammonia nitrogen was taken as an example, and the transport and diffusion of the pollutant in the Hougao area were simulated

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Summary

Introduction

The Dawu water source area is a rare super-large underground water source area in Northern. Its strong capacity of water storage and source area is ofand great significance to Because the waterofresource security and water supply safety of regulation, Zibo city. According to the monitoring data of the water quality monitoring points in the Dawu water source area in recent years which is shown in Tables 1 and 2, the pollutant concentration exceeding the limit is always the most serious in four wells in the Hougao area, among which the chloride reaches 1140 mg/L at the highest point, 4.56 times higher than the Шstandard. Benzene reached 58.2 mg/L at the highest value, 5820 times higher than the Шstandard It shows that the Hougao region is seriously polluted and it is the key pollution area of the Dawu water source. The research results can provide a reference for the treatment of similar polluted sites

Research Scope and Determination of Boundary Conditions
Generalization of Source and Sink Terms
Generalization of Stratigraphic Structure
Mathematical Model
Model Establishment and Parameter Partitioning
Identification and Verification
Pollutant
Prediction andPEER
Prediction and Analysis of Pollutant
12. Prediction
Control of Hydraulic
15. Prediction
Findings
Conclusion
Full Text
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