A5090429026- Hydrology and Watershed Management Studies
- Urban Stormwater Management Solutions
- Flood Risk Assessment and Management
- Water Quality Monitoring Technologies
- Water Systems and Optimization
- Air Quality Monitoring and Forecasting
- Energy Efficient Wireless Sensor Networks
- Hydrological Forecasting Using AI
- Cryospheric studies and observations
- Environmental Monitoring and Data Management
- Meteorological Phenomena and Simulations
- Water Quality Monitoring and Analysis
- Blind Source Separation Techniques
- Precipitation Measurement and Analysis
- Advanced Computational Techniques and Applications
- Air Quality and Health Impacts
- Underwater Vehicles and Communication Systems
- Soil Moisture and Remote Sensing
- Machine Learning and Algorithms
- Atmospheric chemistry and aerosols
- Distributed and Parallel Computing Systems
- Indoor and Outdoor Localization Technologies
- Geological Modeling and Analysis
- Neural Networks and Applications
- Landslides and related hazards
University of Michigan
2015-2024
Michigan United
2016-2024
Ann Arbor Center for Independent Living
2016-2020
University of California, Berkeley
2009-2013
Berkeley College
2010
ABSTRACT The OpenWSN project is an open‐source implementation of a fully standards‐based protocol stack for capillary networks, rooted in the new IEEE802.15.4e Time Synchronized Channel Hopping standard. IEEE802.15.4e, coupled with Internet Things standards, such as 6LoWPAN, RPL and CoAP, enables ultra‐low‐power highly reliable mesh which are integrated into Internet. resulting will be cornerstone to upcoming machine‐to‐machine revolution. This article gives overview stack, well key...
Existing stormwater systems require significant investments to meet challenges imposed by climate change, rapid urbanization, and evolving regulations. There is an unprecedented opportunity improve urban water quality equipping with low-cost sensors controllers. This will transform their operation from static adaptive, permitting them be instantly "redesigned" respond individual storms land uses.
Due to the rapid development of low-cost air-quality sensors, a rigorous scientific evaluation has not been conducted for many available sensors. We evaluated three Plantower PMS A003 sensors when exposed eight particulate matter (PM) sources (i.e., incense, oleic acid, NaCl, talcum powder, cooking emissions, and monodispersed polystyrene latex spheres under controlled laboratory conditions also residential air ambient outdoor in Baltimore, MD). The PM2.5 exhibited high degree precision R2...
Faced with persistent flooding and water quality challenges, managers are now seeking to build digital twins of surface systems that combine sensor data online models better understand control system dynamics. Towards this goal, study presents pipedream—an end-to-end simulation engine for real-time modeling state estimation in natural/urban drainage networks. The combines (i) a new hydraulic solver based on the one-dimensional Saint-Venant equations (ii) Kalman filtering scheme efficiently...
A wireless sensor network (WSN) was deployed as part of a water balance instrument cluster across forested 1 km 2 headwater catchment in the southern Sierra Nevada California. The network, which integrates readings from over 300 sensors, provides spatially representative measurements snow depth, solar radiation, relative humidity, soil moisture, and matric potential. ability this densely instrumented watershed to capture catchment‐scale depth moisture distributions is investigated through...
Leveraging recent advances in technologies surrounding the <italic>Internet of Things</italic>, “smart” water systems are poised to transform resources management by enabling ubiquitous real-time sensing and control.
Abstract The real‐time control of urban watersheds is now being enabled by a new generation “smart” and connected technologies. By retrofitting stormwater systems with sensors valves, it becomes possible to adapt entire dynamically individual storms. A catchment‐scale algorithm introduced, which abstracts an watershed as linear integrator delay dynamical system, parameterizes using physical characteristics, then controls network flows Linear Quadratic Regulator . approach simulated on 4‐km 2...
Smart stormwater systems will transform cities into coordinated and real-time controlled treatment plants.
“Smart” water systems are transforming the field of stormwater management by enabling real-time monitoring and control previously static infrastructure. While localized benefits active well-established, potential for system-scale watersheds is poorly understood. This study shows how a real-world smart system can be leveraged to shape streamflow within an urban watershed. Specifically, we coordinate releases from two internet-controlled basins achieve desired objectives downstream—such as...
Abstract Extreme weather and the proliferation of impervious areas in urban watersheds increases frequency flood events deepens water quality concerns. Bioretention is a type green infrastructure practice developed to mitigate these impacts by reducing peak flows, runoff volume, nutrient loads stormwater. However, studies have shown inconsistency ability bioretention manage some pollutants, particularly forms nitrogen. Innovative sensor control technologies are being tested actively...
Abstract. The distribution and dynamics of atmospheric pollutants are spatiotemporally heterogeneous due to variability in emissions, transport, chemistry, deposition. To understand these processes at high spatiotemporal resolution their implications for air quality personal exposure, we present custom, low-cost monitors that measure concentrations contaminants relevant human health climate, including gases (e.g., O3, NO, NO2, CO, CO2, CH4, SO2) size-resolved (0.3–10 µm) particulate matter....
Connected vehicles are poised to transform the field of environmental sensing by enabling acquisition scientific data at unprecedented scales. Drawing on a real-world dataset collected from almost 70 connected vehicles, this study generates improved rainfall estimates combining weather radar with windshield wiper observations. Existing methods for measuring precipitation subject spatial and temporal uncertainties that compromise high-precision applications like flash flood forecasting....
An open-source control algorithm for combined sewers demonstrates how treatment plant benefits can be balanced with operation of the collection system.
Machine learning (ML) techniques promise to revolutionize environmental research and management, but collecting the necessary volumes of high-quality data remains challenging. Environmental sensors are often deployed under harsh conditions, requiring labor-intensive quality assurance control (QAQC) processes. The need for manual QAQC is a major impediment scalability these sensor networks. Existing automated make strong assumptions about noise profiles in they filter that do not necessarily...
Abstract An approach to adaptively measure runoff water quality dynamics is introduced, focusing specifically on characterizing the timing and magnitude of urban pollutographs. Rather than relying a static schedule or flow‐weighted sampling, which can miss important if parameterized inadequately, novel Internet‐enabled sensor nodes are used autonomously adapt their measurement frequency real‐time weather forecasts hydrologic conditions. This dynamic has potential significantly improve use...
Despite continued calls to increase the monitoring of drinking water systems, few communities and utilities have adopted modern, distributed, real-time systems. Measurements quality are often only made at treatment plant, with limited grab sampling taking place throughout distribution system. At building level, where most public's exposure takes place, capacity make continuous measurements characterize dynamics has been almost impossible. Innovation in sensors, microcontrollers, data...
Wireless sensor networks support decision-making in diverse environmental contexts. Adoption of these has increased dramatically due to technological advances that have value while lowering cost. However, real-time information only allows for reactive management. As most interventions take time, predictions across enable better planning and decision making. Prediction engines large water level discharge do exist. they shortcomings their accessibility, automaticity, data requirements. We...