Engineering Innovative Solutions to Storm Water Problems through Diverse Community Participation

通过多元化的社区参与设计雨水问题的创新解决方案

基本信息

  • 批准号:
    1348266
  • 负责人:
  • 金额:
    $ 73.53万
  • 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 2017-09-30
  • 项目状态:
    已结题

项目摘要

This three-year project focuses on the problem of storm water pollution which is a significant issue in Maine. It seeks to engage high school students, particularly female, Native Americans, African Americans, and students from rural schools in Maine, in meaningful research and engineering education in the area of storm water management and environmental pollution mitigation. In this project, the high school student participants work with their teachers and the University of Maine faculty and students, alongside local communities as well as representatives from private, non-profit, and governmental organizations. This project also supports the purchase of permanent laboratory equipment such as spectrophotometers and water quality sensor packages for high school laboratories.Intellectual MeritThe project participants plan to: (1) build a sensor network for water quality evaluation along a section of the Penjajawoc stream going through forested/residential/industrial parts of Bangor, Maine; (2) collect real-time data on water quality from the sensors and laboratory analysis of water samples; (3) use computer modeling for data analysis; and (4) produce water quality maps for local water ways. A five-day Storm Water Institute, offered annually at the University of Maine, prepares the participants to work on participatory citizen science projects related to storm water management. Anticipated results include increased student interest in STEM education and careers, in particular about environmental science and engineering, through their involvement in this project-based hands-on experience on topics that are of societal relevance.Broader ImpactsThe project plans to engage 180 students and 45 teachers from schools and members of the public, including Native American communities from the Bangor, Auburn, and Portland areas of Maine. At least 75% of the students are female and from groups underrepresented or underserved in STEM including students with disabilities. It is expected that at least 50% of the student participants will later apply to and be accepted into a STEM-related post-secondary degree program. The model of empowering underrepresented minority students, teachers, and communities by engaging them in environmentally relevant problems and engineering solutions is potentially transferrable and scalable nationwide.
这个为期三年的项目集中在雨水污染问题上,这是缅因州的一个重要问题。 它旨在吸引高中学生,特别是女性,美洲原住民,非洲裔美国人和缅因州农村学校的学生,在暴雨水管理和环境污染减轻领域进行有意义的研究和工程教育。在这个项目中,高中生参与者与他们的老师和缅因州大学的教师和学生,以及当地社区以及来自私人,非营利和政府组织的代表一起工作。该项目还支持为高中实验室购买永久性实验室设备,如流速计和水质传感器包。智力优点项目参与者计划:(1)沿沿着一段经过缅因州班戈尔森林/住宅/工业区的Penjajawoc河建立一个水质评估传感器网络;(2)从传感器收集实时水质数据, 实验室分析水样;(3)使用计算机模型进行数据分析;以及(4)制作当地水道的水质图。 缅因州大学每年提供一个为期五天的雨水研究所,帮助参与者准备参与与雨水管理有关的公民科学项目。预期的结果包括通过参与这个基于项目的实践经验,提高学生对STEM教育和职业的兴趣,特别是对环境科学和工程的兴趣,这些实践经验涉及社会相关性。更广泛的影响该项目计划吸引来自学校和公众的180名学生和45名教师,包括来自班戈尔,奥本,和缅因州的波特兰地区。 至少75%的学生是女性,来自STEM中代表性不足或服务不足的群体,包括残疾学生。 预计至少有50%的学生参与者将在以后申请并被STEM相关的中学后学位课程接受。通过让代表性不足的少数民族学生、教师和社区参与环境相关问题和工程解决方案,赋予他们权力的模式有可能在全国范围内转移和推广。

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 }}

Mohamad Musavi其他文献

Classification of chromosomes using a probabilistic neural network.
使用概率神经网络对染色体进行分类。
  • DOI:
    10.1002/cyto.990160104
  • 发表时间:
    1994
  • 期刊:
  • 影响因子:
    0
  • 作者:
    W.P. Sweeney;Mohamad Musavi;John N. Guidi
  • 通讯作者:
    John N. Guidi

Mohamad Musavi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('Mohamad Musavi', 18)}}的其他基金

NSF INCLUDES Collaborative: Creating a Diverse STEM Pathway with Community Water Research
NSF 包括合作:通过社区水研究创建多样化的 STEM 途径
  • 批准号:
    1649346
  • 财政年份:
    2017
  • 资助金额:
    $ 73.53万
  • 项目类别:
    Standard Grant
Biodiversity and Ecosystem Informatics - BDEI - Planning Workshop on Biodiversity and Ecosystem Informatics for the Indian River Lagoon, Florida
生物多样性和生态系统信息学 - BDEI - 佛罗里达州印第安河泻湖生物多样性和生态系统信息学规划研讨会
  • 批准号:
    0131889
  • 财政年份:
    2001
  • 资助金额:
    $ 73.53万
  • 项目类别:
    Standard Grant
An Accurate DNA Base Caller
准确的 DNA 碱基识别器
  • 批准号:
    0090738
  • 财政年份:
    2001
  • 资助金额:
    $ 73.53万
  • 项目类别:
    Standard Grant
An Intelligent System for Automated DNA Base Calling
自动化 DNA 碱基识别的智能系统
  • 批准号:
    9902565
  • 财政年份:
    1999
  • 资助金额:
    $ 73.53万
  • 项目类别:
    Fellowship Award
GOALI/IUCP: Prediction of Wood Pulp K-Number with Neural Networks
GOALI/IUCP:用神经网络预测木浆 K 值
  • 批准号:
    9522981
  • 财政年份:
    1996
  • 资助金额:
    $ 73.53万
  • 项目类别:
    Standard Grant
Classification of Mouse Chromosomes Using Artificial Neural Networks
使用人工神经网络对小鼠染色体进行分类
  • 批准号:
    9417279
  • 财政年份:
    1995
  • 资助金额:
    $ 73.53万
  • 项目类别:
    Continuing Grant

相似海外基金

Techno-economic Feasibility Study of ClimaHtech innovative clean maritime solutions
ClimaHtech 创新清洁海事解决方案的技术经济可行性研究
  • 批准号:
    10098100
  • 财政年份:
    2024
  • 资助金额:
    $ 73.53万
  • 项目类别:
    Collaborative R&D
NSF Engines Development Award: Developing innovative solutions for next-generation factory-built housing (IN, MI)
NSF 发动机开发奖:为下一代工厂建造的住房开发创新解决方案(印第安纳州、密歇根州)
  • 批准号:
    2315483
  • 财政年份:
    2024
  • 资助金额:
    $ 73.53万
  • 项目类别:
    Cooperative Agreement
Unveiling the molecular basis of chromatinopathies to delineate innovative therapeutic solutions
揭示染色质病变的分子基础,描绘创新的治疗解决方案
  • 批准号:
    EP/X027007/1
  • 财政年份:
    2023
  • 资助金额:
    $ 73.53万
  • 项目类别:
    Research Grant
Innovative SaaS Solutions to support circular manufacturing in the global fashion industry
支持全球时尚行业循环制造的创新 SaaS 解决方案
  • 批准号:
    10068041
  • 财政年份:
    2023
  • 资助金额:
    $ 73.53万
  • 项目类别:
    Collaborative R&D
IRES Track I: Integration of Innovative Structural Solutions and Data-Enabled Planning Strategies for Infrastructure Resilience in an Evolving Climate (INSPIRE)
IRES 轨道 I:创新结构解决方案和数据支持的规划策略的整合,以实现不断变化的气候中的基础设施复原力 (INSPIRE)
  • 批准号:
    2246387
  • 财政年份:
    2023
  • 资助金额:
    $ 73.53万
  • 项目类别:
    Standard Grant
Exploring Long-Term Care Housing Solutions for Older Adults Experiencing Homelessness and Substance Use: An Innovative Model
探索针对无家可归和吸毒老年人的长期护理住房解决方案:创新模式
  • 批准号:
    484607
  • 财政年份:
    2023
  • 资助金额:
    $ 73.53万
  • 项目类别:
    Fellowship Programs
BioSense: Accelerating Biological Research through Innovative Real-time, Multiparametric Cell Culture Monitoring Solutions
BioSense:通过创新的实时多参数细胞培养监测解决方案加速生物研究
  • 批准号:
    10075445
  • 财政年份:
    2023
  • 资助金额:
    $ 73.53万
  • 项目类别:
    Grant for R&D
INCLUE : From waste to resource: Training young researchers on developing innovative, circular solutions for waste sludge
包括:从废物到资源:培训年轻研究人员开发废污泥的创新循环解决方案
  • 批准号:
    EP/Y035941/1
  • 财政年份:
    2023
  • 资助金额:
    $ 73.53万
  • 项目类别:
    Research Grant
Innovative solutions to providing potable water in Ghana
在加纳提供饮用水的创新解决方案
  • 批准号:
    2881963
  • 财政年份:
    2023
  • 资助金额:
    $ 73.53万
  • 项目类别:
    Studentship
Bench, Bedside, Business, and Beyond: innovative solutions for AMR diagnostics
实验室、床边、商业及其他:AMR 诊断的创新解决方案
  • 批准号:
    MR/X036936/1
  • 财政年份:
    2023
  • 资助金额:
    $ 73.53万
  • 项目类别:
    Research Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了