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印度南部高度工业化流域中常年受污染地下水渗漏的源识别与管理。

Source identification and management of perennial contaminated groundwater seepage in the highly industrial watershed, south India.

机构信息

CSIR-National Geophysical Research Institute, Hyderabad - India.

CSIR-National Geophysical Research Institute, Hyderabad - India.

出版信息

Environ Pollut. 2021 Jan 15;269:116165. doi: 10.1016/j.envpol.2020.116165. Epub 2020 Nov 27.

DOI:10.1016/j.envpol.2020.116165
PMID:33280907
Abstract

Perennial contaminated groundwater seepage is threatening the downstream ecosystem of the Kazipally Pharmaceutical industrial area located in South India. The sources of seepage are unknown for the last three decades that challenging the regulatory authorities and industries. In general, water quality monitoring and geophysical techniques are applied to identify the sources. However, these techniques may lead to ambiguous results and fail to identify the seepage sources, especially when the area is urbanized/paved, and groundwater is already contaminated with other leakage sources that have similar chemical compounds. In the present study, a novel and multidisciplinary approach were adopted that includes satellite-based Land Surface Temperature (LST) observations, field-based Electrical Resistivity Tomography (ERT), continuous Soil Electrical Conductivity (SEC) and Volumetric Soil Moisture (VSM%) measurements along with groundwater levels monitoring to identify the sources and to control the seepage. The integrated results identified that the locations with the Standard Thermal Anomaly (STA) in the range of -0.5 to -1 °C, VSM% >50%, SEC > 1.5 mS/cm, bulk resistivity < 12 Ω m with shallow groundwater levels < 3 m below ground level (bgl) are potentially contaminated perennial seepage sources. Impermeable sheet piles have been installed across the groundwater flow direction to control the seepage up to 1.5 m bgl, where groundwater frequently intercepts land surface. The quantity of dry season groundwater seepage has been declined by 79.2% after these interventions, which in turn minimized the treatment cost of 1,96,283 USD/year and improved the downstream ecosystem.

摘要

常年受污染的地下水渗漏正威胁着位于印度南部的卡齐帕利制药工业区下游的生态系统。过去三十年,渗漏的源头一直未知,这给监管机构和工业界带来了挑战。一般来说,水质监测和地球物理技术被应用于识别污染源。然而,这些技术可能会导致结果模糊,无法识别渗漏源,特别是当该地区已经城市化/铺砌,且地下水已经受到具有相似化学成分的其他泄漏源的污染时。在本研究中,采用了一种新颖的多学科方法,包括基于卫星的地表温度(LST)观测、现场的电阻率层析成像(ERT)、连续的土壤电导率(SEC)和体积土壤湿度(VSM%)测量,以及地下水水位监测,以识别和控制渗漏源。综合结果表明,标准热异常(STA)范围在-0.5 至-1°C、VSM%>50%、SEC>1.5 mS/cm、体电阻率<12 Ωm 且地下水水位<3 m 以下地面(bgl)的位置可能是常年受污染的渗漏源。已在地下水流动方向上安装了防渗板桩,以控制渗漏,最高可达 1.5 m bgl,在这些位置,地下水经常与地表相交。这些干预措施后,旱季地下水渗漏量减少了 79.2%,从而将每年 196283 美元的处理成本降低了 79.2%,并改善了下游生态系统。

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