A5052882249- Water Systems and Optimization
- Water resources management and optimization
- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Urban Stormwater Management Solutions
- Groundwater flow and contamination studies
- Water-Energy-Food Nexus Studies
- Hydraulic flow and structures
- Hydrological Forecasting Using AI
- Water Quality Monitoring Technologies
- Geotechnical Engineering and Underground Structures
- Water Treatment and Disinfection
- Hydrology and Sediment Transport Processes
- Advanced Multi-Objective Optimization Algorithms
- Soil erosion and sediment transport
- Electric Power System Optimization
- Precipitation Measurement and Analysis
- Underwater Vehicles and Communication Systems
- Climate variability and models
- Evacuation and Crowd Dynamics
- High voltage insulation and dielectric phenomena
- Probabilistic and Robust Engineering Design
- Hydraulic and Pneumatic Systems
- Electricity Theft Detection Techniques
Shahid Beheshti University
2015-2024
Tarbiat Modares University
2012-2021
Iran University of Science and Technology
2021
University of Exeter
2018
University of Almería
2018
University of Bath
2018
Islamic Azad University, Tehran
2015
Korea University
2014
The response to flood disasters is of great importance protect people's lives. Proper recognition the factors affecting floods will lead prevention negative consequences. In this study, three types Archimedean copulas, including Clayton, Gumbel, and Frank, have been applied depth duration variables maximum annual precipitation in four rain gauges' data sets (eight variables) throughout primarily urban eastern catchment Tehran, Iran. results indicated that Gumbel copula most suitable function...
Flooding in urban areas has become increasingly common recent decades, as a result of increased urbanization, decreased infiltration rates, and climate change. Hydraulic rehabilitation plans can be developed implemented to maintain suitable drainage system performance. Determining the effective plans, however, requires involvement rainfall uncertainties modeling using special tools. In this study, statistical copula functions are established determine joint probability distribution variables...
Urban water monitoring is an important task for quantitative and qualitative management of surface runoff. A methodology based on entropy theory developed in this paper to design a quality network urban drainage systems. This method employs SWMM-EPA simulation model predict times series parameters candidate pipes or channels the network. well-known evolutionary algorithm, called Differential Evolution (DE), used other hand find best sites maximizing joint obtained by information associated...
LID methods have been longly considered to manage urban runoff and improve water. In this research, attempts made obtain the optimal size, type location of LIDs considering long-term condition rainfalls in an catchment. The results compared three scenarios: normal, wet dry conditions terms annual rainfalls. For purpose, including swale, bioretention system, permeable pavement detention pond were optimally selected for catchment by coupling up SWMM model with NSGA-II algorithm. combination...
Multi-Objective Evolutionary Algorithms (MOEAs) are flexible and powerful tools for solving a wide variety of non-linear non-convex problems in water resources engineering contexts. In this work, two well-known MOEAs, the Strength Pareto Algorithm (SPEA2) Non-dominated Sorting Genetic (NSGA2), additional MOEAs that extended versions harmony search (HS) differential evolution (DE), linked to Environmental Protection Agency's Storm Water Management Model (SWMM-EPA), which is hydraulic model...
Monthly flow predictions provide an essential basis for efficient decision-making regarding water resource allocation. In this paper, the performance of different popular data-driven models monthly prediction is assessed to detect appropriate model. The considered methods include feedforward neural networks (FFNNs), time delay (TDNNs), radial (RBFNNs), recurrent network (RNN), a grasshopper optimization algorithm (GOA)-based support vector machine (SVM) and K-nearest neighbors (KNN) For...
Severe urban floods have frequently caused social and financial infrastructure problems due to a lack of hydraulic capacity drainage systems or the structural failure network elements. Conventional, reliability-based design methods networks only provide acceptable performance under expected conditions loading. In this study, new approach based on resilience is proposed for rehabilitation systems; able maintain predefined service level both external unexpected internal loads, including...
Abstract The hydrological model calibration is a challenging task, especially in ungauged catchments. regionalization methods can be used to estimate the parameters of sub-catchments. In this article, sub-catchments calibrated by approach based on automatic clustering. Under clustering procedure, gauged and are grouped their physical characteristics similarity. optimal number clusters determined using an differential evolution algorithm-based Considering obtained five clusters, value...
Abstract Watershed management includes methods to create, enhance, and maintain vegetation reduce run‐off provide flood control in the watershed. The assignment of priority for watershed measures requires use mathematical techniques attain most suitable strategies. In present study, a framework was presented assigning optimal combinations based on simulation‐based optimisation approach. For this purpose, one‐dimensional hydrodynamic model used calculate potential damages different scenarios...