A5033273831- Hydrology and Watershed Management Studies
- Water resources management and optimization
- Urban Stormwater Management Solutions
- Flood Risk Assessment and Management
- Hydrological Forecasting Using AI
- Soil and Water Nutrient Dynamics
- Aquatic Ecosystems and Phytoplankton Dynamics
- Groundwater flow and contamination studies
- Water Systems and Optimization
- Advanced Multi-Objective Optimization Algorithms
- Fish Ecology and Management Studies
- Water Quality and Pollution Assessment
- Reservoir Engineering and Simulation Methods
- Soil erosion and sediment transport
- Climate change and permafrost
- Environmental Monitoring and Data Management
- Hydrology and Drought Analysis
- Irrigation Practices and Water Management
- Smart Materials for Construction
- Wastewater Treatment and Reuse
- Machine Learning and Data Classification
- Water Quality Monitoring Technologies
- Constructed Wetlands for Wastewater Treatment
- Groundwater and Isotope Geochemistry
- Metaheuristic Optimization Algorithms Research
University of Waterloo
2015-2024
Vrije Universiteit Brussel
2009
Abstract The simulated outcome of a calibrated hydrologic model should be hydrologically consistent with the measured response data. Hydrologic modelers typically calibrate models to optimize residual‐based goodness‐of‐fit measures, e.g., Nash‐Sutcliffe efficiency measure, and then evaluate obtained results respect hydrological signatures, flow duration curve indices. literature indicates that consideration large number signatures has not been addressed in full multiobjective optimization...
We present an improved version of Honey Bees Mating Optimization (HBMO) algorithm to develop operating rules for multi-reservoir systems. The performance the proposed model is tested through sensitivity analysis and comparing result with those a real-coded Genetic Algorithm (GA) 60-month period single-reservoir operation problem. subsequently employed derive release rule storage balancing functions which form policy system along two case examples: (i) water supply (ii) hydropower generation....
Abstract. A multi-objective genetic algorithm, NSGA-II, is applied to calibrate a distributed hydrological model (WetSpa) for prediction of river discharges. The goals this study include (i) analysis the applicability approach WetSpa calibration instead traditional approach, i.e. Parameter ESTimator software (PEST), and (ii) identifiability assessment parameters. objective functions considered are efficiency (Nash-Sutcliffe criterion) known be biased high flows, logarithmic transformed...
Lake Wilcox (LW), a shallow kettle lake located in southern Ontario, has experienced multiple phases of land use change associated with human settlement and residential development its watershed since the early 1900s. Urban growth coincided water quality deterioration, including occurrence algal blooms depletion dissolved oxygen (DO) column. We analyzed 22 years chemistry, use, climate data (1996-2018) using principal component analysis (PCA) linear regression (MLR) to identify contributions...
Phosphorus (P) export from urban areas via stormwater runoff contributes to eutrophication of downstream aquatic ecosystems. Bioretention cells are a Low Impact Development (LID) technology promoted as green solution attenuate peak flow discharge, well the excess nutrients and other contaminants. Despite their rapidly growing implementation worldwide, predictive understanding efficiency bioretention in reducing P loadings remains limited. Here, we present reaction-transport model simulate...
Abstract Hydrologic models are often tasked with replicating historical hydrographs but may do so without accurately reproducing the internal hydrological functioning of watershed, including flow partitioning, which is critical for predicting solute movement through catchment. Here we propose a novel partitioning‐focused calibration technique that utilizes flow‐partitioning coefficients developed based on pioneering work L'vovich (1979). Our hypothesis inclusion partitioning relations in...
The extensive use of road salts as deicers during winter months is causing the salinization freshwater systems in cold climate regions worldwide. We analyzed 20 years (2001–2020) data on lake water chemistry, land cover changes, and salt applications for Lake Wilcox (LW) located southern Ontario, Canada. situated within a rapidly urbanizing watershed which, period observation, average 785 tons were applied annually. However, only about quarter this has reached so far. That is, most been...
Abstract Sediment core and water quality data, together with historical information on land use/land cover (LULC), were used to reconstruct changes in phosphorus (P) loading cycling Lake Wilcox, Ontario, Canada, since the early 1920s. After first being cleared for farming, originally forested watershed subsequently underwent urbanization. The large increase P accompanying agricultural intensification after World War II caused eutrophication of lake. However, improved soil conservation 1980s...
Abstract Hydrologic models partition flows into surface and subsurface pathways, but their calibration is typically conducted only against streamflow. Here we argue that unless model outcomes are constrained using flow pathway data, multiple partitioning schemes can lead to the same This point becomes critical for biogeochemical modeling as individual paths may yield unique chemical signatures. We show how information on pathways be used constrain hydrologic improved better water quality...
Abstract This research analyses the impact of climate change and surface mining activities on hydrologic connectivity surficial (soil geological) layers located in a watershed Athabasca Oil Sands Region. Surface water groundwater flow are simulated for period 2014–2080 under four scenarios: median (M), double precipitation (DP), no (NP), temperature (DT) with assumption extent mine after 2013. The results demonstrate that annual growing season duration is longer snowmelt happens earlier year...
Abstract. A multi-objective genetic algorithm, NSGA-II, is applied to calibrate a distributed hydrological model (WetSpa) for predicting river discharge. The evaluation criteria considered are the bias (mass balance), efficiency (Nash-Sutcliffe efficiency), and logarithmic transformed (to emphasize low-flow values). concept of Pareto dominance used solve optimization problem derive Pareto-optimal parameter sets. In order analyze applicability approach, comparison made with another...
Bayesian inference via Markov Chain Monte Carlo (MCMC) sampling and sequential (SMC) are popular methods for uncertainty analysis in hydrological modelling. However, application of these methodologies can incur significant computational costs. This study investigated using model pre-emption improving the efficiency MCMC SMC samplers context The proposed strategy facilitates early termination low-likelihood simulations results reduction unnecessary simulation time steps. approach is...
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Stormwater ponds (SWPs) alter the export of macronutrient phosphorus (P) from urban landscapes, hence impacting trophic state and water quality downstream aquatic environments.
This paper involves a methodology developed for multi-criteria decision making and to reduce the number of Pareto optimal solutions. The technique is Fuzzy Compromise Programming (FCP) coupled Genetic Algorithm (GA) applied case study on multi-objective rainfall-runoff calibration. uncertainty associated with probable preferences decision-makers has also been dealt by fuzzy extension principle alpha-cut levels (i.e. considering importance criteria triangular weights). problem, therefore,...