CNH-L: The Dynamics of Water Supplies, Land Use, and Disadvantaged Communities
CNH-L: The Dynamics of Water Supplies, Land Use, and Disadvantaged Communities
批准号:
1716130
负责人:
Helen Dahlke
金额:
$160.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-15 至 2023-09-30
中文摘要
这个跨学科的项目将分析地表水和地下水供应,农业土地使用决策和农村弱势社区的经济福祉之间的复杂关系。美国一些生产力最高的农业地区受到不可持续的地下水抽取的威胁。 这使得大土地所有者和处境不利的社区极易受到个人和农业用水地表水供应意外短缺的影响。 这些地区面临着经济和水安全之间的艰难权衡。 该项目将确定和量化农业地区供水可持续性与经济生产力之间的反馈,并将加强对基础设施和监管决策的支持,从而帮助提高这些社区的活力和复原力。 该项目将产生将地下水和地表水供应与土地使用和社会经济信息相结合的模型,以制定可用于管理和规划的未来情景。 这些模型将得到利益攸关方和决策者的参与,这将有助于改善决策支持工具,并根据情景的结果促进不同群体之间的沟通。 这一项目的更广泛影响将侧重于协助当地弱势社区参与水资源管理,包括建立“水学校”,以增加来自代表性不足群体的K-12学生对科学和政策问题的参与。 该项目将为研究生和本科生提供跨学科的研究教育和培训,他们将参与研究和社区参与活动的各个方面。 该项目将产生知识,以便更好地为农村地区的农业管理决策、其对水消费的影响以及减轻这些环境变化可能给弱势社区带来的不公平现象的办法提供信息,该项目的研究目标是开发一个耦合的水文和土地使用模型,以说明自然和人类系统之间的反馈,纳入利害关系方对抗旱能力的看法,并制定适应战略,使用反映利害关系方偏好的综合模型对这些战略进行测试。 模型开发将需要整合通常单独处理的组件,包括径流过程,地下水流和污染物运输以及农业种植决策,所有这些都会影响地表水和地下水储存的管理。 参与性建模过程将使利益攸关方参与,为模型假设、不确定性、模型的开发和分析工具提供信息,从而以透明的方式将当地知识与科学数据结合起来,产生有效的政策行动。最后,适应性战略的价值将使用合作博弈论的方法来评估,以了解利益相关者之间的权衡与冲突的偏好。 虽然该项目将侧重于加州中央谷的图拉雷盆地,该地区面临着农业生产粗放、供水有限和弱势社区众多的挑战,但该项目将为面临经济和水安全之间类似困难权衡的美国其他地区提供新的见解和方法。 该项目由NSF耦合自然和人类系统动力学(CNH)计划支持。
英文摘要
This interdisciplinary project will analyze the complex relationships between surface and groundwater supply, agricultural land use decisions, and economic wellbeing in rural disadvantaged communities. Some of the most productive agricultural regions in the United States are threatened by unsustainable groundwater pumping. This leaves large landowners and disadvantaged communities highly vulnerable to unexpected shortages in surface water supply for personal and agricultural use. Regions such as these face difficult tradeoffs between economic and water security. This project will identify and quantify the feedback between water supply sustainability and economic productivity in agricultural areas and will enhance support for decision making regarding infrastructure and regulation, thereby helping to improve the robustness and resilience of these communities. The project will yield models that integrate ground and surface water supplies with land use and socioeconomic information to develop future scenarios that can be used for management and planning. The models will be informed by participatory involvement of stakeholders and policy makers, which will help improve decision-support tools and advance communication among different groups based on the findings from the scenarios. The broader impacts of this project will focus on assisting local disadvantaged communities participate in the governance of water resources, including the formulation of "Water Schools" to increase the participation of K-12 students from underrepresented groups in science and policy issues. The project will provide interdisciplinary research education and training for graduate and undergraduate students who will be involved in all aspects of the research and community engagement activities. The project will generate knowledge that can better inform agricultural management decisions in rural areas, their impacts on water consumption, and approaches for mitigating the inequities in disadvantaged communities that can accompany these environmental changes.The project's research objectives are the development of a coupled hydrologic and land use model to illustrate the feedback between the natural and human systems, the inclusion of stakeholder perspectives on drought resilience, and the development of adaptation strategies that will be tested using the integrated model reflecting stakeholder preferences. Model development will require the integration of components that typically are treated separately, including rainfall-runoff processes, groundwater flow and contaminant transport, and agricultural planting decisions, all of which impact the management of surface and groundwater storage. A participatory modeling process will engage stakeholders to inform the model assumptions, uncertainties, its development and analysis tools, resulting in a transparent way that integrates local knowledge with scientific data to produce effective policy action. Finally, the value of adaptive strategies will be assessed using a cooperative game-theory approach to understand the tradeoffs between stakeholders with conflicting preferences. While this project will focus on the Tulare Basin in California's Central Valley, a region which exemplifies the challenges of extensive agricultural production, limited water supply, and significant disadvantaged communities, the project will provide new insights and approaches for other regions of the United States facing similar difficult tradeoffs between economic and water security. This project is supported by the NSF Dynamics of Coupled Natural and Human Systems (CNH) Program.
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DOI:
10.1029/2022wr034129
发表时间:
2023-05
期刊:
Water Resources Research
影响因子:
5.4
作者:
[Georgios Kourakos;Giuseppe Brunetti;Daniel P. Bigelow;S. Wallander;H. Dahlke]
通讯作者:
Georgios Kourakos;Giuseppe Brunetti;Daniel P. Bigelow;S. Wallander;H. Dahlke
Identifying Agricultural Managed Aquifer Recharge Locations to Benefit Drinking Water Supply in Rural Communities
确定农业管理的含水层补给地点,以改善农村社区的饮用水供应
DOI:
10.1029/2020wr028811
发表时间:
2021
期刊:
Water Resources Research
影响因子:
5.4
作者:
[Marwaha, Nisha, Kourakos, George, Levintal, Elad, Dahlke, Helen E.]
通讯作者:
Dahlke, Helen E.
Enhancing Soil and Water Assessment Tool Snow Prediction Reliability with Remote-Sensing-Based Snow Water Equivalent Reconstruction Product for Upland Watersheds in a Multi-Objective Calibration Process
在多目标校准过程中利用基于遥感的高地流域雪水当量重建产品增强土壤和水评估工具降雪预测的可靠性
DOI:
10.3390/w12113190
发表时间:
2020
期刊:
Water
影响因子:
3.4
作者:
[Liu, Zhu, Yin, Jina, E. Dahlke, Helen]
通讯作者:
E. Dahlke, Helen
DOI:
10.1038/s43247-021-00093-y
发表时间:
2021-02
期刊:
Communications Earth & Environment
影响因子:
7.9
作者:
[Nusrat Molla;John DeIonno;J. Herman]
通讯作者:
Nusrat Molla;John DeIonno;J. Herman
DOI:
10.1029/2020wr028148
发表时间:
2020-06
期刊:
Water Resources Research
影响因子:
5.4
作者:
[Liam Ekblad;J. Herman]
通讯作者:
Liam Ekblad;J. Herman
共 12 条
RAPID: Managed Groundwater Recharge (MAR) in a year of exceptional precipitation: Evaluating the impact of dry-well versus on-farm recharge on water quality
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批准号:2334880
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项目类别:Standard Grant
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资助金额:$5.0万
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财政年份:2023
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负责人:Helen Dahlke
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依托单位:
国内基金
海外基金
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批准号:
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项目类别:省市级项目
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批准年份:2023
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