- Microplastics and Plastic Pollution
- Recycling and Waste Management Techniques
- Pharmaceutical and Antibiotic Environmental Impacts
- biodegradable polymer synthesis and properties
- Adsorption and biosorption for pollutant removal
- Heavy metals in environment
- Environmental remediation with nanomaterials
- Constructed Wetlands for Wastewater Treatment
- Climate variability and models
- Cryospheric studies and observations
- Healthcare and Environmental Waste Management
- Toxic Organic Pollutants Impact
- Coal and Its By-products
- Effects and risks of endocrine disrupting chemicals
- Wastewater Treatment and Reuse
- Per- and polyfluoroalkyl substances research
- Hydrology and Drought Analysis
- Advanced oxidation water treatment
- Advanced Photocatalysis Techniques
- Graphene and Nanomaterials Applications
- Climate change impacts on agriculture
McGill University
2018-2025
This paper proposes an efficient spatio-temporal statistical downscaling approach for estimating IDF relations at ungauged site using daily rainfalls downscaled from global climate model (GCM) outputs. More specifically, the proposed involves two steps: (1) a spatial scaling factors to transfer GCM extreme rainfall projections regional scale given and (2) temporal scale-invariance GEV derive distribution of sub-daily same location. The feasibility accuracy were evaluated based on simulation...
Abstract The present study proposes a climate change assessment tool based on statistical downscaling (SD) approach for describing the linkage between large-scale predictors and observed daily rainfall characteristics at local site. proposed SD of process (SDRain) model is combination logistic regression representing occurrences nonlinear precipitation amounts. A scaling factor (SR) correction coefficient (CR) are suggested to improve accuracy SDRain in variance amounts each month without...