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气候变化对小流域中重金属污染淋溶的影响。

Climate change impacts on the leaching of a heavy metal contamination in a small lowland catchment.

机构信息

Deltares, AL Utrecht, The Netherlands.

出版信息

J Contam Hydrol. 2012 Jan 1;127(1-4):47-64. doi: 10.1016/j.jconhyd.2011.04.007. Epub 2011 May 7.

DOI:10.1016/j.jconhyd.2011.04.007
PMID:21684031
Abstract

The Keersop catchment (43km(2)) in the south of The Netherlands has been contaminated by the emissions of four zinc ore smelters. The objective of this study was to assess the effects of future projected climate change on the hydrology and the leaching of heavy metals (i.e. Cd and Zn) in the catchment. The numerical, quasi-2D, unsaturated zone Soil Water Atmosphere Plant model was used with 100-year simulated daily time series of precipitation and potential evapotranspiration. The time series are representative of stationary climates for the periods 1961-1990 ("baseline") and 2071-2100 ("future"). The time series of future climate were obtained by downscaling the results of eight regional climate model (RCM) experiments, driven by the SRES A2 emissions scenario, using change factors for a series of climate statistics and applying them to stochastic weather generator models. The time series are characterized by increased precipitation in winter, less precipitation in summer, and higher air temperatures (between 2°C and 5°C) throughout the year. Future climate scenarios project higher evapotranspiration rates, more irrigation, less drainage, lower discharge rates and lower groundwater levels, due to increased evapotranspiration and a slowing down of the groundwater system. As a result, lower concentrations of Cd and Zn in surface water are projected. The reduced leaching of heavy metals, due to drying of the catchment, showed a positive impact on a limited aspect of surface water quality.

摘要

荷兰南部的基尔索普流域(43km(2))受到了四座锌矿冶炼厂排放物的污染。本研究的目的是评估未来预期气候变化对流域水文和重金属(即 Cd 和 Zn)淋溶的影响。使用数值、准二维、非饱和带土壤水-大气-植物模型,结合降水和潜在蒸散量的 100 年模拟日时间序列。时间序列代表了 1961-1990 年(“基线”)和 2071-2100 年(“未来”)期间稳定气候的 100 年模拟日时间序列。未来气候时间序列是通过对 8 个区域气候模型(RCM)实验的结果进行降尺度得到的,这些实验由 SRES A2 排放情景驱动,使用一系列气候统计数据的变化因子,并将其应用于随机天气生成模型。时间序列的特点是冬季降水增加,夏季降水减少,全年气温升高(2°C 至 5°C)。未来气候情景预测由于蒸散量增加和地下水系统减缓,蒸散量增加、灌溉增加、排水减少、流量减少和地下水位降低,从而导致地表水中 Cd 和 Zn 的浓度降低。由于流域变干,重金属淋溶减少,这对地表水水质的一个有限方面产生了积极影响。

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