SBIR Phase II: Ecosystem Design Tool
SBIR 第二阶段:生态系统设计工具
基本信息
- 批准号:2218499
- 负责人:
- 金额:$ 99.96万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Cooperative Agreement
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-02-01 至 2025-01-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase II project is to enable communities impacted by air pollution and extreme heat to design and implement solutions to these problems in a fast and cost-effective way. Air pollution increases the risk of cancer, stroke, heart-disease, and respiratory infections, and may play a role in Alzheimer’s and diabetes, resulting in human suffering and trillions of dollars of health care costs globally each year. Extreme heat is a growing source of additional health-care concerns and costs. These costs are shouldered by insurance companies, governments, businesses, and citizens. Air pollution can be reduced by carefully placed trees. These trees also reduce extreme heat by shading and evaporation of water. There is potential for improving human health via targeted engineering of tree placements. This project will develop analysis and design tools to help with such tree plantings to generate the maximum possible health and financial benefits, at the lowest cost and with the shortest timelines. Local businesses can use this tool to make sure that they get paid fairly for reducing health care cost burdens of health insurance companies, governments, and pollution producers, while making communities and the environment more resilient.While existing literature indicates that trees may provide an effective air pollution and heat-island mitigation strategy. Stakeholders seeking to implement such strategies need tools to ensure that the plantings are as effective as possible. Existing planning tools are not of sufficient resolution or site specific, and often do not employ evidence-based design strategies. This project will perform high resolution vegetation analysis on a wide variety of neighborhoods. This data will be used to train a set of algorithms to infer high resolution vegetation properties from widely available, low-cost data streams. These inferred vegetation metrics will be integrated with a geospatial ecosystem design automation pipeline to create a software tool. The software tool will provide environmental justice communities, ecosystem designers, health insurance companies, governments, and local businesses with the ability to implement cost-effective ecosystem interventions with quantifiable air quality and heat island benefits. These benefits can be used to calculate financial health benefits. Because the benefits quantification will be based on ongoing validation and monitoring projects, the tool can be used to leverage private financing for improving public health and improving the environment.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.
这项小企业创新研究(SBIR)第二阶段项目的更广泛/商业影响是使受空气污染和极端高温影响的社区能够以快速和经济有效的方式设计和实施这些问题的解决方案。空气污染增加了患癌症、中风、心脏病和呼吸道感染的风险,并可能在阿尔茨海默氏症和糖尿病中发挥作用,每年给人类带来痛苦,并在全球造成数万亿美元的医疗费用。极端高温是一个日益增加的医疗保健问题和费用来源。这些费用由保险公司、政府、企业和公民承担。通过精心种植树木可以减少空气污染。这些树木还通过遮阳和蒸发水分来减少极端高温。通过有针对性的树木安置工程,有可能改善人类健康。该项目将开发分析和设计工具,以帮助这些树木的种植,以最低的成本和最短的时间产生最大的健康和经济效益。当地企业可以利用这一工具,确保他们得到公平的报酬,减少医疗保险公司、政府和污染制造者的医疗成本负担,同时使社区和环境更具弹性。虽然现有文献表明树木可能提供有效的空气污染和热岛缓解策略。寻求实施这种战略的利益攸关方需要工具来确保种植尽可能有效。现有的规划工具没有足够的解决方案或特定的场地,并且通常没有采用基于证据的设计策略。该项目将对各种各样的社区进行高分辨率植被分析。这些数据将用于训练一组算法,从广泛可用的低成本数据流中推断高分辨率植被属性。这些推断的植被指标将与地理空间生态系统设计自动化管道集成,以创建一个软件工具。该软件工具将为环境正义社区、生态系统设计师、健康保险公司、政府和当地企业提供实施具有成本效益的生态系统干预措施的能力,并可量化空气质量和热岛效益。这些福利可用于计算财务健康福利。由于效益的量化将基于正在进行的验证和监测项目,因此该工具可用于利用私人融资来改善公共卫生和改善环境。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识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
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)
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Daniel Fleischer其他文献
IR dualities in general 3d supersymmetric SU(N) QCD theories
一般 3d 超对称 SU(N) QCD 理论中的红外对偶性
- DOI:
10.1007/jhep02(2015)162 - 发表时间:
2014 - 期刊:
- 影响因子:5.4
- 作者:
O. Aharony;Daniel Fleischer - 通讯作者:
Daniel Fleischer
Theory and applications of the Laplacian
拉普拉斯算子的理论与应用
- DOI:
- 发表时间:
2007 - 期刊:
- 影响因子:0
- 作者:
Daniel Fleischer - 通讯作者:
Daniel Fleischer
Daniel Fleischer的其他文献
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{{ truncateString('Daniel Fleischer', 18)}}的其他基金
SBIR Phase I: Ecosystem Design Tool
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- 批准号:
1938665 - 财政年份:2020
- 资助金额:
$ 99.96万 - 项目类别:
Standard Grant
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