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
基本信息
- 批准号:1338213
- 负责人:
- 金额:$ 2.55万
- 依托单位:
- 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
- 起止时间:2013-10-01 至 2014-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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.
在整个南亚和东南亚,喜马拉雅山河流沿岸的含水层被大量用于旱季灌溉和生活供水。 先前的工作记录了这些河流(包括恒河-雅鲁藏布江、红河和湄公河)三角洲含水层中砷(As)浓度的升高。 对三角洲含水层的冲积含水层升级进行的研究很少,但这些研究记录了局部砷浓度升高。 该地区的季风气候导致河流和邻近含水层之间的水力梯度发生变化。 由于流量大小和方向以及氧化还原条件的变化,这些梯度变化有可能影响地下水中微量元素的行为。 该项目启动了与泰国孔敬大学研究人员的国际合作,从泰国东北部湄公河沿岸的冲积含水层收集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)对井和河流进行采样,并对样品进行现场参数、主要离子、选定的微量元素、溶解的有机碳和稳定同位素的分析。 设备将安装在选定的井中进行连续监测。这些数据将能够跟踪冲积含水层和湄公河之间的流量。 该小组将开发冲积含水层-河流相互作用的概念模型,该模型将构成向美国国家科学基金会水文科学项目提出的长期和更空间密集研究提案的基础。 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 的水文信息系统 (HIS) 与研究人员分享,并将在湄公河上拟议的大坝建设项目之前提供含水层的基线。该概念模型将为该地区其他冲积含水层提供模板,例如正在修建或规划水坝的缅甸伊洛瓦底江流域。非技术摘要:南亚和东南亚地下水中砷 (As) 含量升高是一个严重的公共卫生问题。地下水中砷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修建水坝,这极大地改变了河流与邻近含水层之间的连接。我们的目标是收集泰国东北部湄公河附近含水层两个水文季节(旱季(11 月)和季风季节(5 月至 6 月))地下水地球化学的初步数据集。 研究结果将用于开发气候如何影响含水层-河流相互作用以及这些相互作用是否影响含水层中砷浓度的概念模型。 这些数据将提供“基线”在湄公河下游修建拟议水坝之前,对含水层的水质进行评估。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Alan Fryar其他文献
Alan Fryar的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Alan Fryar', 18)}}的其他基金
Collaborative Research (IRES Track I): A Multi-Faceted Approach for Understanding Hydrologic Controls on Transmission Losses in Dryland Environments
合作研究(IRES Track I):了解旱地环境中传输损失的水文控制的多方面方法
- 批准号:
1952520 - 财政年份:2020
- 资助金额:
$ 2.55万 - 项目类别:
Standard Grant
相似海外基金
Digitally inclusive, healthy ageing communities (DIHAC): A cross-cultural study in Japan, Republic of Korea, Singapore and Thailand
数字包容的健康老龄化社区 (DIHAC):日本、韩国、新加坡和泰国的跨文化研究
- 批准号:
23K20657 - 财政年份:2024
- 资助金额:
$ 2.55万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Impacts of precipitation variability due to global warming on the decline of tropical seasonal dry forests in Thailand
全球变暖导致的降水变化对泰国热带季节性干旱森林减少的影响
- 批准号:
23KK0119 - 财政年份:2023
- 资助金额:
$ 2.55万 - 项目类别:
Fund for the Promotion of Joint International Research (International Collaborative Research)
Empirical Analysis of National and Local Elections in Thailand: Changes in Political Cleavages and Voting Behaviors
泰国全国和地方选举的实证分析:政治分歧和投票行为的变化
- 批准号:
23K01263 - 财政年份:2023
- 资助金额:
$ 2.55万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Applying Deep Learning for Predicting Retention in PrEP Care and Effective PrEP Use among Key Populations at Risk for HIV in Thailand
应用深度学习预测泰国主要艾滋病毒高危人群中 PrEP 护理的保留情况以及 PrEP 的有效使用
- 批准号:
10619943 - 财政年份:2023
- 资助金额:
$ 2.55万 - 项目类别:
VIS4ION-Thailand (Visually Impaired Smart Service System for Spatial Intelligence and Onboard Navigation) - Resub - 1
VIS4ION-泰国(视障空间智能和车载导航智能服务系统)- Resub - 1
- 批准号:
10903051 - 财政年份:2023
- 资助金额:
$ 2.55万 - 项目类别:
A Study on Local Educational Governance in Thailand
泰国地方教育治理研究
- 批准号:
22KJ2318 - 财政年份:2023
- 资助金额:
$ 2.55万 - 项目类别:
Grant-in-Aid for JSPS Fellows
RFA-GH-23-003, THAI-GER: THAIland Genomic surveillance of Emerging infectious diseases facilitating Rapid response
RFA-GH-23-003,THAI-GER:泰国对新发传染病的基因组监测促进快速反应
- 批准号:
10980415 - 财政年份:2023
- 资助金额:
$ 2.55万 - 项目类别:
RFA-GH-23-003, THAI-GER: THAIland Genomic surveillance of Emerging infectious diseases facilitating Rapid response
RFA-GH-23-003,THAI-GER:泰国对新发传染病的基因组监测促进快速反应
- 批准号:
10808039 - 财政年份:2023
- 资助金额:
$ 2.55万 - 项目类别:
Role of sports for women's empowerment in Thailand
体育运动在泰国妇女赋权中的作用
- 批准号:
23K10667 - 财政年份:2023
- 资助金额:
$ 2.55万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Japan-Thailand co-construction of innovative catalytic process decarbonizing CO2 emitted from industrial processes by capturing carbon and producing synthetic fuel
日本与泰国共同建设创新催化工艺,通过捕获碳和生产合成燃料来脱碳工业过程中排放的二氧化碳
- 批准号:
23KK0089 - 财政年份:2023
- 资助金额:
$ 2.55万 - 项目类别:
Fund for the Promotion of Joint International Research (International Collaborative Research)