MRI: Acquisition of Equipment to Develop an Ubiquitous Wireless Sensor Network for Measurement, Modeling, and Prediction in Water Resource Management

该项目旨在开发无线传感器网络(WSNs)，以获得高分辨率和精确度的温度、水溶解氧、水深、流速和pH值的时空测量；-应用WSN收集的实时、大规模的异质数据来开发、校准和验证水量和水质模型，以表征水资源、气候变化和人类影响之间的相互作用，从而为不同情景下的水可持续管理提供更准确的预测；水文学家、水资源科学家和水资源工程师将利用WSN框架，从数据推理中获得对水资源、全球气候变化和人类影响之间复杂相互作用的理解；-利用研究成果为可持续水资源管理提供有效和经济的解决方案；-为其他人提供当前的水量和水质数据库和在线储存库，以加强合作。该仪器使技术能够协同应用于水资源管理研究，促进对复杂问题的理解，以在不同气候条件下优化有限的水的消耗。它还有助于建立适当的环境，扩大学生的知识和研究经验，鼓励代表性不足的少数群体/妇女参与，此外，研究成果将被纳入社区科学和水资源教育的课程，并向其社区内的大量6-12年级的低收入和少数群体学生介绍。

This project, acquiring equipment to advance real-time in situ monitoring of data related to water quantity and quality, aims to develop Wireless Sensor Networks (WSNs) to - Obtain measurements of temperature, water dissolved oxygen, water depth, flow rate, and pH value spatially and temporally with high resolution and accuracy;- Apply WSN-collected real-time, large-scale heterogeneous data to develop, calibrate, and validate water quantity and quality models, to characterize interactions among water resources, climate changes, and human impact to provide more accurate prediction for water sustainability management under different scenarios; and- Compile and distribute regional and national measurements and design a database/online repository.Hydrologists, water resource scientists, and water resource engineers will utilize the WSN-framework with the expectation of- Deriving understanding of complex interactions among water resource, global climate change, and human impacts from data inference;- Utilizing the research results to provide effective and economic solutions for sustainable water resource management;- Providing a current water quantity and quality database and online repository for others to increase collaboration.The instrumentation enables the collaborative application of technologies to water resource management research advancing understanding of complex problems to optimize consumption of limited water under different climate conditions. It also contributes to establish an appropriate environment to broaden students' knowledge and research experience, and encourages participation of underrepresented minorities/women, Furthermore, research results will be integrated into the curricula in CS and water resource education, as well as introduced to a large number of low-income and minority students within their communities in grades 6-12.