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US-Thailand Planning visits: Influence of climate on groundwater interactions with Mekong River: Implications for arsenic concentrations in alluvial aquifers

US-Thailand Planning visits: Influence of climate on groundwater interactions with Mekong River: Implications for arsenic concentrations in alluvial aquifers
美国-泰国规划访问:气候对地下水与湄公河相互作用的影响:对冲积含水层中砷浓度的影响
批准号:
1338204
负责人:
Madeline Schreiber
金额:
$1.1万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-10-01 至 2015-03-31

项目摘要

项目成果

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中文摘要
翻译
在整个南亚和东南亚,沿喜马拉雅山脉的河流沿着的含水层被大量用于旱季灌溉和家庭供水。 以前的工作已经记录了这些河流的三角洲含水层中砷(As)浓度的升高,包括恒河-雅鲁藏布江,红河和湄公河。 很少有研究已经进行了冲积含水层的三角洲含水层的分流,但这些少数记录了当地升高的As浓度。 该地区的季风气候迫使河流和邻近含水层之间的水力梯度发生变化。 这些梯度变化有可能影响地下水中微量元素的行为,由于流量和方向的变化,以及在氧化还原条件。 该项目与泰国孔敬大学的研究人员开展国际合作,收集泰国东北部湄公河沿着冲积含水层的初步水文和地球化学数据。将在旱季(11月)和季风季节(5月至6月)对威尔斯井和河流进行取样,并对样品进行现场参数、主要离子、选定微量元素、溶解有机碳和稳定同位素分析。 将在选定的威尔斯井中安装设备,以进行连续监测。这些数据将有助于跟踪冲积含水层和湄公河之间的流量。 该小组将开发一个冲积含水层-河流相互作用的概念模型,该模型将成为NSF水文科学计划长期和空间密集型研究提案的基础。 研究结果将与泰国当地居民、教育工作者和政府机构分享,并通过CUAHSI与研究人员分享。的水文信息系统(HIS),并将提供一个基线的含水层之前,大坝建设项目提出的湄公河。概念模型将为该区域其他冲积含水层提供一个模板,例如缅甸的伊洛瓦底江流域,那里正在建造或计划建造大坝。非技术摘要:南亚和东南亚地区地下水中砷含量升高是一个严重的公共卫生问题。地下水中As和其他微量元素的行为与水文和地球化学过程有关,而这些过程又受到气候的影响。 另一个可能的强迫因素是水坝的建设,这极大地改变了河流与邻近含水层之间的联系。我们的目标是收集一个初步的数据集,在两个水文季节:旱季(11月)和季风季节(5月至6月)在泰国东北部的湄公河附近的含水层的地下水的地球化学。 结果将被用来开发一个概念模型,气候如何影响含水层-河流的相互作用,如果这些相互作用影响的含水层中的浓度。 这些数据将提供?基线?在湄公河下游建造拟议的水坝之前,对含水层的水质进行监测。
英文摘要
Across South and Southeast Asia, aquifers along rivers draining the Himalayas are heavily utilized for dry-season irrigation and domestic water supply. Previous work has documented elevated arsenic (As) concentrations in the deltaic aquifers of these rivers, including the Ganges-Brahmaputra, the Red, and the Mekong. Few studies have been conducted in the alluvial aquifers upgradient of the deltaic aquifers, but those few have documented locally elevated As concentrations. The monsoonal climate of the region imposes shifts in hydraulic gradients between the river and adjacent aquifers. These gradient shifts have the potential to influence the behavior of trace elements in groundwater due to changes in flow magnitude and direction, as well as in redox conditions. This project initiates an international collaboration with investigators at Khon Kaen University, Thailand to collect preliminary hydrologic and geochemical data from an alluvial aquifer along the Mekong River in northeast Thailand. Wells and the river will be sampled during the dry season (November) and the monsoon season (May-June) and samples analyzed for field parameters, major ions, selected trace elements, dissolved organic carbon and stable isotopes. Equipment will be installed in selected wells for continuous monitoring. This data will enable tracking of flow between the alluvial aquifer and the Mekong. The group will develop a conceptual model of alluvial aquifer-river interactions, which will form the basis of a proposal to the NSF Hydrologic Sciences program for a longer-term and more spatially intensive study. Results will be shared with local residents, educators and government agencies in Thailand, and with researchers through CUAHSI?s Hydrologic Information Systems (HIS), and will provide a baseline for the aquifer prior to dam construction projects proposed on the Mekong. The conceptual model will offer a template for other alluvial aquifers in the region, such as the Irrawaddy valley of Myanmar, where dams are being built or planned. Non-technical abstract:Elevated arsenic (As) in groundwater across South and Southeast Asia is a critical public health problem. The behavior of As and other trace elements in groundwater is tied to hydrologic and geochemical processes, which are in turn influenced by climate. Another possible forcing is the construction of dams, which dramatically changes the connections between the river and the adjacent aquifers. Our goal is to collect a preliminary dataset on the geochemistry of groundwater in an aquifer adjacent to the Mekong River in northeast Thailand during two hydrologic seasons: the dry season (November) and the monsoon season (May-June). The results will be used to develop a conceptual model of how climate influences aquifer-river interactions, and if those interactions affect As concentrations in the aquifer. These data will provide a ?baseline? of water quality in the aquifer prior to construction of proposed dams on the Lower Mekong.
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