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遥感监测湿地演变预测内陆两典型盆地浅层地下水中砷的分布。

Remote sensing of wetland evolution in predicting shallow groundwater arsenic distribution in two typical inland basins.

机构信息

State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Beijing 100083, PR China; MOE Key Laboratory of Groundwater Circulation and Evolution & School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, PR China.

State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Beijing 100083, PR China; MOE Key Laboratory of Groundwater Circulation and Evolution & School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, PR China.

出版信息

Sci Total Environ. 2022 Feb 1;806(Pt 1):150496. doi: 10.1016/j.scitotenv.2021.150496. Epub 2021 Sep 23.

Abstract

A large number of studies have shown that the existence of wetlands may influence arsenic concentrations in adjacent shallow groundwater. However, little is known about the linkage between wetland evolution and arsenic enrichment in shallow groundwater. This study investigated wetland evolutions from 1973 to 2015 in two arid-semiarid inland basins along the Yellow River catchment (i.e., the Yinchuan Basin and the Hetao Basin) based on remote sensing data, and their association with arsenic distributions based on arsenic concentrations of 244 and 570 shallow groundwater samples, respectively. The long-term Landsat images reveal that the covering area of wetlands exhibited increasing trends in both the Yinchuan Basin and the Hetao Basin. Wetlands in the Yinchuan Basin and the Yellow River water-irrigation area in the Hetao Basin varied with precipitation before 2000, but exhibited increasing trends because of wetland restoration policies since 2000. Wetlands in groundwater-irrigation area in the Hetao Basin decreased due to increasing exploitation of shallow groundwater. Wetlands with long existence time were mainly distributed along the Yellow River and drainage channels and in large lakes in the northern Yinchuan Basin and the Hetao Basin, where high‑arsenic (>10 μg/L) groundwater occurred. The probability of high‑arsenic groundwater distribution increased with the proportion of wetland existence time to the entire studied period (42 years), which can be best explained by a BiDoseResp growth curve. Longer existence of wetlands may cause greater probability of high‑arsenic groundwater. This was likely related to long-term introduction of biodegradable organic matter into shallow aquifers and thereafter enhancement of arsenic mobility and/or arsenic being released beneath wetlands and transported into shallow aquifers under continuing wetland water recharge. We therefore suggest that mapping wetland evolutions could probably serve as a good indicator for predicting high arsenic groundwater distributions in shallow aquifers.

摘要

大量研究表明,湿地的存在可能会影响毗邻浅层地下水的砷浓度。然而,人们对湿地演化与浅层地下水砷富集之间的联系知之甚少。本研究基于遥感数据,调查了黄河流域(即银川盆地和河套盆地)两个干旱半干旱内陆盆地从 1973 年到 2015 年的湿地演化,并分别基于 244 和 570 个浅层地下水样本的砷浓度,研究了它们与砷分布之间的关系。长期的 Landsat 图像表明,银川盆地和河套盆地的湿地覆盖面积均呈增长趋势。银川盆地的湿地和河套盆地的黄河水灌溉区的湿地在 2000 年前受降水影响较大,但自 2000 年以来,由于湿地恢复政策,它们的面积呈增长趋势。由于浅层地下水开采量的增加,河套盆地地下水灌溉区的湿地减少。存在时间较长的湿地主要分布在黄河及排水渠沿线,以及银川盆地北部和河套盆地的大型湖泊中,这些地区存在高砷(>10μg/L)地下水。高砷地下水分布的概率随着湿地存在时间占整个研究期(42 年)的比例的增加而增加,可以用 BiDoseResp 生长曲线来很好地解释。湿地存在时间越长,可能导致高砷地下水的概率就越大。这可能与长期向浅层含水层引入可生物降解的有机物有关,此后砷的迁移性增强和/或在湿地下释放的砷在继续向湿地补给的浅层含水层中运移。因此,我们认为,绘制湿地演化图可能是预测浅层含水层中高砷地下水分布的一个很好的指标。

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