Scientific challenges and biophysical knowledge gaps for implementing nutrient offset projects
Nutrient offsetting allows nutrient point source polluters to pay for diffuse source nutrient
reductions, or improvements in nutrient load reductions from alternative point sources …
reductions, or improvements in nutrient load reductions from alternative point sources …
Effects of land use change, wetland fragmentation, and best management practices on total suspended solids concentrations in an urbanizing Oregon watershed …
H Chang, Y Makido, E Foster - Journal of Environmental Management, 2021 - Elsevier
While many different watershed management strategies have been implemented to improve
water quality, relatively few studies empirically tested the combined effects of different …
water quality, relatively few studies empirically tested the combined effects of different …
What makes a successful Sponge City project? Expert perceptions of critical factors in integrated urban water management in the Asia-Pacific
Sponge City (SC) projects aim to replicate natural water cycles within urban settings,
providing sustainable solutions to urban water management. However, there is a lack of …
providing sustainable solutions to urban water management. However, there is a lack of …
Knowledge atlas on the relationship between water management and constructed wetlands—A bibliometric analysis based on citeSpace
Y Zhang, X You, S Huang, M Wang, J Dong - Sustainability, 2022 - mdpi.com
Water management is a crucial resource conservation challenge that mankind faces, and
encouraging the creation of manmade wetlands with the goal of achieving long-term water …
encouraging the creation of manmade wetlands with the goal of achieving long-term water …
Large-scale prediction of stream water quality using an interpretable deep learning approach
Comparison of machine learning algorithms to predict dissolved oxygen in an urban stream
Water quality monitoring for urban watersheds is critical to identify the negative urbanization
impacts. This study sought to identify a successful predictive machine learning model with …
impacts. This study sought to identify a successful predictive machine learning model with …
Quantifying climate, streamflow, and watershed control on water quality across Southeastern US watersheds
Identification of the key variables that influence spatial variation in stream water quality is
crucial for designing sustainable water management strategies. In this study, we …
crucial for designing sustainable water management strategies. In this study, we …
The Impact of Land—Use Composition and Landscape Pattern on Water Quality at Different Spatial Scales in the Dan River Basin, Qin Ling Mountains
Y Zhang, Y Zhao, H Zhang, J Cao, J Chen, C Su… - Water, 2023 - mdpi.com
To study the impact of land—use structure and landscape pattern on water quality at
different spatial scales in the Dan River Basin (Qin Ling Mountains, China), water samples …
different spatial scales in the Dan River Basin (Qin Ling Mountains, China), water samples …
Water quality predictions for urban streams using machine learning
The purpose of this study is to examine the impact of land use and rainfall on water quality in
urban streams. This research includes analysis and prediction of a water quality indicator for …
urban streams. This research includes analysis and prediction of a water quality indicator for …
A low-cost radar-based IoT sensor for noncontact measurements of water surface velocity and depth
We designed an out-of-water radar water velocity and depth sensor, which is unique due to
its low cost and low power consumption. The sensor is a first at a cost of less than USD 50 …
its low cost and low power consumption. The sensor is a first at a cost of less than USD 50 …