Digital water: artificial intelligence and soft computing applications for drinking water quality assessment
Water quality deterioration in drinking water systems (ie, system failure) causing serious
outbreaks have frequently been happening around the world. These failures can be …
outbreaks have frequently been happening around the world. These failures can be …
Urban storm water drainage system optimization using a sustainability index and LID/BMPs
Urban stormwater drainage systems (USDSs) play an essential role in protecting cities from
excessive rainfalls and urban floods. To quantify the performance of the USDSs, a new …
excessive rainfalls and urban floods. To quantify the performance of the USDSs, a new …
Integrated optimization of marine oil spill response and liquid oily waste management using mathematical programming and evolutionary metaheuristic techniques
Marine oil spill response is a time sensitive and complex task, in which the management of
oily wastewater generated from response operations could be a bottleneck limiting the …
oily wastewater generated from response operations could be a bottleneck limiting the …
Effects of Automatic Hyperparameter Tuning on the Performance of Multi‐variate Deep Learning‐based Rainfall Nowcasting
A Amini, M Dolatshahi… - Water Resources …, 2023 - Wiley Online Library
Rainfall nowcasting has become increasingly important as we move into an era where more
and more storms are occurring in many countries as a result of climate change. Developing …
and more storms are occurring in many countries as a result of climate change. Developing …
Selection of oil spill response method in Arctic offshore waters: A fuzzy decision tree based framework
A fuzzy decision tree (FDT) based framework was developed to facilitate the selection of
suitable oil spill response methods in the Arctic. Hypothetical oil spill cases were developed …
suitable oil spill response methods in the Arctic. Hypothetical oil spill cases were developed …
Optimization of integrated fuzzy decision tree and regression models for selection of oil spill response method in the Arctic
The challenging oil spill response in the Arctic calls for effective response decision support
tools. In this study, a framework comprising the development of various integrated fuzzy …
tools. In this study, a framework comprising the development of various integrated fuzzy …
Optimal size, type and location of low impact developments (LIDs) for urban stormwater control
ABSTRACT LID methods have been longly considered to manage urban runoff and improve
water. In this research, attempts have been made to obtain the optimal size, type and …
water. In this research, attempts have been made to obtain the optimal size, type and …
Evaluating real-time control of stormwater drainage network and green stormwater infrastructure for enhancing flooding resilience under future rainfall projections
Traditional stormwater control measures are designed to handle system loadings induced
by fixed-size storm events. However, climate change is predicted to alter the frequency and …
by fixed-size storm events. However, climate change is predicted to alter the frequency and …
[HTML][HTML] An event-based resilience index to assess the impacts of land imperviousness and climate changes on flooding risks in urban drainage systems
Assessing the resilience of urban drainage systems requires the consideration of future
disturbances that will disrupt the system's performance and trigger urban flooding failures …
disturbances that will disrupt the system's performance and trigger urban flooding failures …
Real-time rainfall and runoff prediction by integrating BC-MODWT and automatically-tuned DNNs: Comparing different deep learning models
The development of reliable rainfall and runoff prediction models holds significant
importance in the domains of flood forecasting, early warning systems, and sustainable …
importance in the domains of flood forecasting, early warning systems, and sustainable …