Study on the risk assessment and forewarning model of groundwater pollution

Li, Yang; Yang, Renchao; Qu, Xingyue; Qu, Xingwei; Du, Yu; De, Shuvabrata

doi:10.1007/s12517-020-05395-7

Cited by 5 publications

(3 citation statements)

References 40 publications

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“…(B) Location map of the study area in Shandong Province. (C) Vertical cross section of water-bearing formations in the study area (modified from Li et al 18 ).…”

Section: Study Areamentioning

confidence: 99%

“…In the early 1980s, due to the overexploitation of groundwater, a cone of depression appeared in the Shouguang water resource. However, with the continuous development of China’s national economy and GNP, the quantity of groundwater intake has not been effectively controlled, causing great changes in hydrogeological conditions, reduction in the number of original shallow water resources, and a sharp decline in the shallow groundwater level. − Furthermore, in the axis of the Mi alluvial–proluvial fan, the water-rich zones with shallow pore water outflow from a single well greater than 5000 m 3 /day have completely disappeared, which further expands the area of the shallow groundwater depression cone and intensifies the trend of water quality deterioration in this area. But the mining yield of groundwater for agriculture and industry is still extending unceasingly in the study area, and as a result, the middle and deep layer groundwater in the north of the water resource has become the main resource for exploitation and utilization, and the mining yield for freshwater and brackish water enhances ceaselessly.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Groundwater Resources and Exploitation Potential: A Case from Weifang City of Shandong Province in China

Shi

et al. 2021

ACS Omega

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With the rapid growth of population and economy, the demand for groundwater resources is also increasing, leading to the exploitation of groundwater in some areas far greater than the recharge, which easily causes a series of environmental geological problems such as groundwater drawdown, water quality deterioration, surface subsidence, and so on. Taking Shouguang water resource in Weifang City, Shandong Province, China, as an example, the water-bearing formation in the study area can be divided into three types: pore water-bearing formation of unconsolidated sediments, karst fissure water-bearing formation of carbonate rock, and bedrock fissure water-bearing formation. According to the pumping test results, the groundwater-richness zones in the study area were delineated first. On this basis, by analyzing the dynamic changes of groundwater, the study area was divided into 40 blocks, and the natural recharge of groundwater in each block was calculated by the analogy method of the infiltration coefficient of precipitation. Then, combined with the actual situation of the study area, the allowable withdrawal of groundwater resources, mainly including pore water-bearing formation of unconsolidated sediments, karst fissure water-bearing formation of carbonate rock, and bedrock fissure water-bearing formation, was calculated using the safe yield modulus method, the improved method of the uniform arrangement of wells, and temporary storage capacity, respectively. Through the calculation, it can be concluded that the total allowable withdrawal of shallow groundwater resources in Shouguang city is 6292.5783 × 10 4 m 3 /a, that of middle and deep layer groundwater resources is 2574.92 × 10 4 m 3 /a, that of karst fissure water in carbonate rock is 1767.92 × 10 4 m 3 /a, and that of bedrock fissure water is 307.89 × 10 4 m 3 /a. The results show that within the study area, karst fissure water in carbonate rock and bedrock fissure water have immense exploitation potential.

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“…(B) Location map of the study area in Shandong Province. (C) Vertical cross section of water-bearing formations in the study area (modified from Li et al 18 ).…”

Section: Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of Groundwater Resources and Exploitation Potential: A Case from Weifang City of Shandong Province in China

Shi

et al. 2021

ACS Omega

Self Cite

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“…All of the above methods have achieved a certain guiding value to the fieldwork. However, because water bursting in mine is affected by various indicators such as climate, hydrological characteristics, and faulted structure of the mining area, the extraction of effective field data is relatively less [41][42][43][44][45][46][47][48][49]. When the evaluation index is multidimensional, there will be a problem of information superposition and relatively lesser data volume [50].…”

Section: Introductionmentioning

confidence: 99%

Recognition Method of Mine Water Sources Based on Factor Analysis

Shi

2020

Glob. J. Earth Sci. Eng.

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Taking Jiaozuo mining area as the research background, according to the survey of water samples among the main water-filled aquifers of the mine and water gushing sources due to the exploitation of the No.21 coal seams in Shanxi group, six kinds of water chemical composition were selected as the sample indexes, including Cl-, SO42-, HCO3-, Na++K+, Ca2+, Mg2+, based on the data of groundwater chemical composition, and a principal component analysis was applied to establish the mathematical model by the method of factor analysis. A piper diagram was used to intuitively conduct the synthetical analyses for the general chemical characteristics and water quality types of the water samples. At the same time, via the comparative analysis between the water properties of water exits and that of the main aquifers in the Jiaozuo mining area, discrimination of the hybridization of the multiple water gushing sources due to coal mining was done. Moreover, by dint of the SPSS factor analysis, the water chemical proxies were carried on dimensionality reduction from the six kinds of water chemical composition to the three major factors, which replaced the original variables to participate in the data modeling. The results of the study showed that the combination of the piper diagram and the factor analysis modeling could effectively identify the water gushing sources owing to exploiting the No.21 coal seams of the Shanxi group in the Jiaozuo mining area and rank on the basis of the contributions of each aquifer to the amounts of water bursting in the mine, solving the problems of information superposition and correlations consisted in the identification of water gushing sources, which provides a theoretical basis for the prevention and cure of the mine water disasters.

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Risk Assessment Model of Accounting Resource Sharing Management Based on Genetic Algorithm

Huang

Shen

2023

Lecture Notes in Electrical Engineering

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Study on the risk assessment and forewarning model of groundwater pollution

Cited by 5 publications

References 40 publications

Evaluation of Groundwater Resources and Exploitation Potential: A Case from Weifang City of Shandong Province in China

Evaluation of Groundwater Resources and Exploitation Potential: A Case from Weifang City of Shandong Province in China

Recognition Method of Mine Water Sources Based on Factor Analysis

Risk Assessment Model of Accounting Resource Sharing Management Based on Genetic Algorithm

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