Institute of Environment Assessment and Water Research (IDAEA), CSIC, C/Jordi Girona 18-26, 08034 Barcelona, Spain.
University of Huelva, Department of Geodynamics and Paleontology, Faculty of Experimental Sciences, 21071 Huelva, Spain.
Sci Total Environ. 2016 Aug 15;562:1-12. doi: 10.1016/j.scitotenv.2016.03.209. Epub 2016 Apr 17.
The Sancho reservoir is an acid mine drainage (AMD)-contaminated reservoir located in the Huelva province (SW Spain) with a pH close to 3.5. The water is only used for a refrigeration system of a paper mill. The Sancho reservoir is holomictic with one mixing period per year in the winter. During this mixing period, oxygenated water reaches the sediment, while under stratified conditions (the rest of the year) hypoxic conditions develop at the hypolimnion. A CE-QUAL-W2 model was calibrated for the Sancho Reservoir to predict the thermocline and oxycline formation, as well as the salinity, ammonium, nitrate, phosphorous, algal, chlorophyll-a, and iron concentrations. The version 3.7 of the model does not allow simulating the oxidation of Fe(II) in the water column, which limits the oxygen consumption of the organic matter oxidation. However, to evaluate the impact of Fe(II) oxidation on the oxycline formation, Fe(II) has been introduced into the model based on its relationship with labile dissolved organic matter (LDOM). The results show that Fe oxidation is the main factor responsible for the oxygen depletion in the hypolimnion of the Sancho Reservoir. The limiting factors for green algal growth have also been studied. The model predicted that ammonium, nitrate, and phosphate were not limiting factors for green algal growth. Light appeared to be one of the limiting factors for algal growth, while chlorophyll-a and dissolved oxygen concentrations could not be fully described. We hypothesize that dissolved CO2 is one of the limiting nutrients due to losses by the high acidity of the water column. The sensitivity tests carried out support this hypothesis. Two different remediation scenarios have been tested with the calibrated model: 1) an AMD passive treatment plant installed at the river, which removes completely Fe, and 2) different depth water extractions. If no Fe was introduced into the reservoir, water quality would significantly improve in only two years. Deeper extractions (3m above the bottom) would also improve the water quality by decreasing the hypoxic zone. However, extractions at the epilimnion would increase the amount of hypoxic water in the reservoir.
桑乔水库是一个受到酸性矿山排水(AMD)污染的水库,位于西班牙西南部的韦尔瓦省,其 pH 值接近 3.5。该水库的水仅用于一家造纸厂的制冷系统。桑乔水库是全混型的,每年冬季有一个混合期。在这个混合期内,含氧水到达沉积物,而在分层条件下(其余时间),缺氧条件在湖下层发展。为了预测桑乔水库的温跃层和氧跃层形成以及盐度、铵、硝酸盐、磷、藻类、叶绿素-a 和铁浓度,我们对 CE-QUAL-W2 模型进行了校准。模型的 3.7 版本不允许模拟水柱中的 Fe(II)氧化,这限制了有机物氧化的耗氧量。然而,为了评估 Fe(II)氧化对氧跃层形成的影响,根据其与可利用溶解有机质(LDOM)的关系,我们将 Fe(II)引入到模型中。结果表明,Fe 氧化是导致桑乔水库湖下层氧气耗尽的主要因素。还研究了绿藻生长的限制因素。模型预测,铵、硝酸盐和磷酸盐不是绿藻生长的限制因素。光照似乎是藻类生长的限制因素之一,而叶绿素-a 和溶解氧浓度无法得到充分描述。我们假设由于水柱的高酸度导致损失,溶解 CO2 是限制营养物质之一。进行的敏感性测试支持这一假设。使用校准后的模型测试了两种不同的修复方案:1)在河流上安装 AMD 被动处理厂,该处理厂可完全去除 Fe;2)不同深度的水抽取。如果水库中不引入 Fe,水质将在两年内显著改善。更深的抽取(距离底部 3 米)也将通过减少缺氧区来改善水质。然而,在上层抽取会增加水库中缺氧水的量。