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中国乌马河流域关闭矿区的水动力地下水模拟与水化学概念化

Hydrodynamic Groundwater Modeling and Hydrochemical Conceptualization of the Closure Mining Area of the WuMa River Watershed of China.

作者信息

Yang Lei, Liu Lang, Liu Yuan, Chen Guangping, Liang Liying

机构信息

School of Geosciences and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China.

School of Materials and Environment, Guangxi Minzu university, No. 188, University East Road, Nanning 530000, China.

出版信息

ACS Omega. 2023 Dec 27;9(1):520-537. doi: 10.1021/acsomega.3c05631. eCollection 2024 Jan 9.

Abstract

The WuMa River (WMR) watershed is located in Renhuai City, Guizhou Province of China, which is a first-class tributary of the Chishui River. The geochemical investigation mainly included the determination of groundwater pH, total hardness, total dissolution solid, major cationic and anionic, and the geochemical groundwater modeling. The principal component analysis (PCA) and Gibbs model were used to analyze the pollution type and geochemical composition. The geochemical investigation results show that the cations of groundwater are dominated by Ca and the anions are dominated by HCO; therefore, two main hydrochemical types in the study area are identified as Ca-Mg-HCO and Ca-Mg-SO. The chemical composition of groundwater in this area is mainly controlled by weathering of the carbonate rocks. The ion concentration of groundwater in the study area exhibited significant spatial variability between dry and wet seasons, while temporal changes of cationic and anionic concentrations exhibited irregularities. In PCA and FA analysis, PC1, PC2, and PC3 were extracted, which could explain 51.92, 26.98, and 12.61% of the total information, respectively. F1 explained 67.44% of the total variance, among which Ca, Mg, K, SO, and Cl contributed the most among the factors and were the main factors controlling the chemical composition of groundwater. The relative error between the measured water level and the simulated water level is less than 2%, which meets the requirements of simulation accuracy. During the simulation period of the model, a total recharge of 339.05 × 10 m was observed in the simulated area, primarily attributed to infiltration from rainfall. The total excretion amounted to 330.78 × 10 m, primarily through evaporation, with a minor amount of lateral outflow. The migration pathway of pollutants in groundwater primarily follows the direction of groundwater flow while diffusing vertically. The migration range of the pollutant is in accordance with the direction of groundwater flow and extends along the larger hydraulic gradient, demonstrating consistency. The findings of this study serve as a reminder that the closure of coal mines can constitute a significant source of water pollution. Simultaneously, they offer empirical data and theoretical references for the simulation and prediction of groundwater contamination in enclosed coal mines.

摘要

乌马河(WMR)流域位于中国贵州省仁怀市,是赤水河的一级支流。地球化学调查主要包括测定地下水的pH值、总硬度、总溶解固体、主要阳离子和阴离子,以及进行地球化学地下水模拟。采用主成分分析(PCA)和吉布斯模型分析污染类型和地球化学组成。地球化学调查结果表明,地下水阳离子以Ca为主,阴离子以HCO为主;因此,研究区确定了两种主要的水化学类型,即Ca-Mg-HCO和Ca-Mg-SO。该地区地下水的化学成分主要受碳酸盐岩风化控制。研究区地下水离子浓度在旱季和雨季之间表现出显著的空间变异性,而阳离子和阴离子浓度的时间变化则呈现出不规则性。在PCA和FA分析中,提取了PC1、PC2和PC3,它们分别可以解释总信息的51.92%、26.98%和12.61%。F1解释了总方差的67.44%,其中Ca、Mg、K、SO和Cl在各因素中贡献最大,是控制地下水化学成分的主要因素。实测水位与模拟水位的相对误差小于2%,满足模拟精度要求。在模型模拟期内,模拟区域共观测到339.05×10 m的总补给量,主要归因于降雨入渗。总排泄量为330.78×10 m,主要通过蒸发,少量为侧向流出。地下水中污染物的迁移途径主要沿地下水流方向,同时垂直扩散。污染物的迁移范围与地下水流方向一致,并沿较大水力梯度延伸,具有一致性。本研究结果提醒人们,煤矿关闭可能构成水污染的重要来源。同时,它们为封闭煤矿地下水污染的模拟和预测提供了经验数据和理论参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f3e/10785671/43c44f00e9ad/ao3c05631_0003.jpg

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