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Response of a Coastal Groundwater System to Natural and Anthropogenic Factors: Case Study on East Coast of Laizhou Bay China

机译:沿海地下水系统对自然和人为因素的反应 - 莱州湾东海岸案例研究

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摘要

With a shifting climate pattern and enhancement of human activities, coastal areas are exposed to threats of groundwater environmental issues. This work takes the eastern coast of Laizhou Bay as a research area to study the response of a coastal groundwater system to natural and human impacts with a combination of statistical, hydrogeochemical, and fuzzy classification methods. First, the groundwater level dynamics from 1980 to 2017 were analyzed. The average annual groundwater level dropped 13.16 m with a descent rate of 0.379 m/a. The main external environmental factors that affected the groundwater level were extracted, including natural factors (rainfall and temperature), as well as human activities (irrigated area, water-saving irrigated area, sown area of high-water-consumption crops, etc.). Back-propagation artificial neural network was used to model the response of groundwater level to the above driving factors, and sensitivity analysis was conducted to measure the extent of impact of these factors on groundwater level. The results verified that human factors including irrigated area and water-saving irrigated area were the most important influencing factors on groundwater level dynamics, followed by annual precipitation. Further, groundwater samples were collected over the study area to analyze the groundwater hydrogeochemical signatures. With the hydrochemical diagrams and ion ratios, the formation of groundwater, the sources of groundwater components, and the main hydrogeochemical processes controlling the groundwater evolution were discussed to understand the natural background of groundwater environment. The fuzzy C-means clustering method was adopted to classify the groundwater samples into four clusters based on their hydrochemical characteristics to reveal the spatial variation of groundwater quality in the research area. Each cluster was spatially continuous, and there were great differences in groundwater hydrochemical and pollution characteristics between different clusters. The natural and human factors resulted in this difference were discussed based on the natural background of the groundwater environment, and the types and intensity of human activity.
机译:随着气候模式和人类活动的增强,沿海地区暴露于地下水环境问题的威胁。这项工作占据了莱州湾的东海岸作为研究领域,研究沿海地下水系统对自然和人类影响的响应,与统计,水文化学和模糊分类方法的组合。首先,分析了1980年至2017年的地下水位动态。平均年度地下水位下降13.16米,下降率为0.379米/ a。影响地下水位水平的主要外部环境因素,包括自然因素(降雨和温度),以及人类活动(灌溉面积,节水灌溉区域,高水电播种作物等) 。后传播人工神经网络用于模拟地下水位对上述驱动因子的响应,并进行敏感性分析以测量这些因素对地下水位的影响程度。结果证实,人类因素包括灌溉面积和节水灌溉面积,是地下水位动态的最重要影响因素,其次是年降水量。此外,在研究区域上收集地下水样品以分析地下水的水文地域。探讨了地下水的形成,地下水的形成,以及控制地下水进化的主要水力地理过程,以了解地下水环境的自然背景。采用模糊的C型簇聚类方法将地下水样品分类为四簇,基于其水化学特性,以揭示研究区域地下水质量的空间变化。每个簇在空间连续,不同簇之间的地下水水化学和污染特性存在很大差异。基于地下水环境的自然背景以及人类活动的类型和强度讨论了这种差异的自然和人为因素。

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