RII Track-1: Socially Sustainable Solutions for Water, Carbon, and Infrastructure Resilience in Oklahoma

RII Track-1：俄克拉荷马州水、碳和基础设施复原力的社会可持续解决方案

• 批准号: 1946093
• 负责人: Kevin Wagner
• 金额: $ 2000万
• 依托单位: Oklahoma State University
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1946093&HistoricalAwards=false
• 关键词: RII; Track; Socially; Sustainable; Solutions

This RII Track-1 project will enable the design and development of acceptable solutions to pressing societal problems. The working hypothesis of this project is that socially sustainable solutions to complex societal problems will be found at the intersections of related but distinct problem areas, where diverse stakeholders can find agreement because the array of issues cuts across the usual narratives that frame social conflict. Oklahoma EPSCoR will employ a social science framework that heavily incorporates social dynamics theory and is informed by theories of public policy learning to invest in science at the intersections of four key focus areas: changing seasonal to sub-seasonal weather patterns, variable and marginal quality water supplies, shifting terrestrial water and carbon dynamics, and sustainable water and energy infrastructure. A social science framework will provide for systematic and iterative engagement between key stakeholders, the public, and technical focus area teams to identify convergent solutions. This project will be administered by Oklahoma State University in collaboration with five other Oklahoma academic institutions, which include two Minority Serving Institutions: University of Oklahoma, University of Tulsa, Southwestern Oklahoma State University, Langston University (a Historically Black College or University (HBCU)), and the College of the Muscogee (Creek) Nation (a Tribal College). Additional project partners include regional universities and community colleges, the Noble Research Institute, an agriculture-focused non-profit organization, and the Oklahoma Museum Network. The use of social science to generate solutions within a polarized environment has high potential for broader impacts, because it addresses needs that are relevant to Oklahoma’s citizens. The resulting solutions developed will benefit the quality of life for Oklahomans associated and unassociated with the project. In addition, the project will promote STEM education across the jurisdiction and broaden the participation of underrepresented populations in STEM disciplines. This RII Track-1 Oklahoma EPSCoR project will develop and test socially sustainable, science-based solutions for wicked (complex) problems at the intersection of land use, water availability, and infrastructure. The unifying research question is whether science-based assessment, coupled with the engagement of Oklahoma opinion leaders and citizens, can result in development of socially sustainable solutions. Oklahoma EPSCoR will identify how both problems and potential solutions for water use, landscape-carbon cycle, and energy and water infrastructure are interlinked in complex ways by focusing on four challenges addressed by the focus areas: 1) improving the knowledge of atmospheric and land processes that lead to seasonal to sub-seasonal events and increasing understanding of predictive skillsets to enable the creation of outlook forecasts; 2) understanding terrestrial carbon and water dynamics across Oklahoma to identify potential options for increasing carbon uptake and storage while sustaining water supply by using an Earth Systems Science approach to quantify water and carbon dynamics at a statewide scale; 3) developing new engineering technologies and modeling schemes for the reuse and improved understanding of water treatment efficiencies; and 4) developing an aggregated resilience model for interdependent infrastructure systems that includes the effects of uncertainties in severe weather, weather extremes, wildfires, and induced seismicity on networks, and network-to-network interdependencies. Technical focus area teams will engage in a systemic, iterative process of conducting science with added direction from social narratives that citizens, opinion leaders, and scientists use to comprehend and evaluate potential research impacts. The project will also conduct education, outreach and broadening participation activities that include: 1) STEM curriculum and training for K-12 teachers; 2) non-traditional STEM educator training; 3) K-12 student STEM education, and 4) growing of Oklahoma’s citizen science network. These activities will address the state’s STEM needs and reach thousands of Oklahoma trainees, teachers and citizens.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个RII轨道1项目将使设计和开发可接受的解决方案，以紧迫的社会问题。 该项目的工作假设是，复杂社会问题的社会可持续解决方案将在相关但不同的问题领域的交叉点上找到，在这些问题领域，不同的利益攸关方可以找到一致意见，因为一系列问题贯穿了构成社会冲突的通常叙述。 俄克拉荷马州EPSCoR将采用社会科学框架，大量采用社会动力学理论，并通过公共政策学习的理论，在四个关键领域的交叉点投资于科学：季节性变化到亚季节性天气模式，可变和边际质量供水，陆地水和碳动态变化，可持续水和能源基础设施。社会科学框架将为关键利益攸关方、公众和技术重点领域团队提供系统和迭代的参与，以确定趋同的解决方案。该项目将由俄克拉荷马州州立大学与其他五个俄克拉荷马州学术机构合作管理，其中包括两个少数民族服务机构：俄克拉荷马州大学、塔尔萨大学、西南俄克拉荷马州州立大学、兰斯顿大学（历史上的黑人学院或大学（HBCU））和马斯科吉（克里克）民族学院（部落学院）。 其他项目合作伙伴包括地区大学和社区学院，诺贝尔研究所，一个以农业为重点的非营利组织，和俄克拉荷马州博物馆网络。 利用社会科学在两极分化的环境中产生解决方案，具有产生更广泛影响的高潜力，因为它解决了与俄克拉荷马州公民相关的需求。 由此产生的解决方案将有利于生活质量的俄克拉荷马州相关和无关的项目。 此外，该项目将在整个司法管辖区促进STEM教育，并扩大代表性不足的人口在STEM学科的参与。 这个RII轨道-1俄克拉荷马州EPSCoR项目将开发和测试社会可持续性，科学为基础的解决方案，在土地使用，水的可用性和基础设施的交叉邪恶（复杂）的问题。 统一的研究问题是，以科学为基础的评估，加上俄克拉荷马州的意见领袖和公民的参与，可以导致社会可持续的解决方案的发展。俄克拉荷马州EPSCoR将通过重点关注重点领域解决的四个挑战，确定水资源利用、碳-碳循环以及能源和水基础设施的问题和潜在解决方案如何以复杂的方式相互关联：1）提高对导致季节性至亚季节性事件的大气和土地过程的认识，并提高对预测技能的理解，以便能够创建前景预测; 2）了解俄克拉荷马州的陆地碳和水动态，以确定增加碳吸收和储存的潜在选择，同时通过使用地球系统科学方法来量化全州范围内的水和碳动态，以维持水供应; 3）开发新的工程技术和建模方案，用于再利用和提高对水处理效率的理解;以及4）为相互依赖的基础设施系统开发聚合弹性模型，其中包括恶劣天气、极端天气、野火和诱发地震活动对网络的不确定性的影响，以及网络与网络的相互依赖性。 技术重点领域团队将参与一个系统的、迭代的科学研究过程，并从公民、意见领袖和科学家用来理解和评估潜在研究影响的社会叙事中获得更多指导。 该项目还将开展教育，推广和扩大参与活动，包括：1）K-12教师的STEM课程和培训; 2）非传统STEM教育者培训; 3）K-12学生STEM教育; 4）俄克拉荷马州公民科学网络的发展。这些活动将满足该州的STEM需求，并惠及数千名俄克拉荷马州的学员、教师和公民。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Moving from measurement to governance of shared groundwater resources

• DOI: 10.1038/s44221-022-00008-x
• 发表时间: 2023-01
• 期刊: Nature Water
• 作者: M. Schipanski;M. Sanderson;L. E. Méndez-Barrientos;Amy Kremen;P. Gowda;D. Porter;K. Wagner;Charles West;C. Rice;Mark A. Marsalis;B. Guerrero;Erin M. K. Haacker;J. Dobrowolski;C. Ray;B. Auvermann

Decomposing the Critical Components of Flash Drought Using the Standardized Evaporative Stress Ratio

使用标准化蒸发应力比分解骤旱的关键成分

• DOI: 10.2139/ssrn.4136023
• 发表时间: 2022
• 期刊: SSRN Electronic Journal
• 作者: Edris, Stuart G.;Basara, Jeffrey B.;Christian, Jordan I.;Hunt, Eric D.;Otkin, Jason A.;Salesky, Scott T.;Illston, Bradley G.
• 通讯作者: Illston, Bradley G.

Improved Modeling of Gross Primary Production and Transpiration of Sugarcane Plantations with Time-Series Landsat and Sentinel-2 Images

• DOI: 10.3390/rs16010046
• 发表时间: 2023-12
• 期刊: Remote. Sens.
• 作者: Jorge Celis;Xiangming Xiao;Paul M. White;Osvaldo M. R. Cabral;Helber C. Freitas

Life Cycle Greenhouse Gas Emissions for Irrigated Corn Production in the U.S. Great Plains

• DOI: 10.1016/j.envc.2023.100750
• 发表时间: 2023-07
• 期刊: Environmental Challenges
• 作者: R. Koushki;Sumit Sharma;J. Warren;M. Foltz

Improving Subseasonal-to-Seasonal forecasts in predicting the occurrence of extreme precipitation events over the contiguous U.S. using machine learning models

使用机器学习模型改进次季节到季节的预测，预测美国本土极端降水事件的发生

• DOI: 10.1016/j.atmosres.2022.106502
• 发表时间: 2023
• 期刊: Atmospheric Research
• 影响因子: 5.5
• 作者: Zhang, Lujun;Yang, Tiantian;Gao, Shang;Hong, Yang;Zhang, Qin;Wen, Xin;Cheng, Chuntian
• 通讯作者: Cheng, Chuntian