A5041799210- Groundwater flow and contamination studies
- Water Quality and Pollution Assessment
- Water resources management and optimization
- Hydrological Forecasting Using AI
- Municipal Solid Waste Management
- Water Systems and Optimization
- Wastewater Treatment and Nitrogen Removal
- Hydrology and Watershed Management Studies
- Geophysical and Geoelectrical Methods
- Water Quality Monitoring and Analysis
- Soil Geostatistics and Mapping
- Groundwater and Watershed Analysis
- Soil erosion and sediment transport
- Soil and Water Nutrient Dynamics
- Anaerobic Digestion and Biogas Production
- Wastewater Treatment and Reuse
- Geochemistry and Geologic Mapping
- Fish Biology and Ecology Studies
- Healthcare and Environmental Waste Management
- Heavy metals in environment
- Multi-Criteria Decision Making
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Hydraulic Fracturing and Reservoir Analysis
- Water-Energy-Food Nexus Studies
Middle East Technical University
2010-2023
Akdeniz University
2023
Trabzon University
2019
Institute of Educational Sciences
2019
University of Virginia
2000-2005
Dissolved oxygen (DO) levels are crucial for aquatic life, especially under climate change, making continuous monitoring essential effective lake management. However, local measurements often costly and time-intensive, whether collected through field campaigns or permanent gauges. This study investigates the feasibility of using remote sensing techniques, coupled with machine learning; to track estimate DO in a shallow eutrophic lake. Because cannot be directly measured optical sensors, we...
In this study, water depth distribution (bathymetric map) in a eutrophic shallow lake was determined using WorldView-2 multispectral satellite image. Lake Eymir Ankara (Turkey) the study site. order to generate bathymetric map of lake, image and data processing, modelling were applied. First, bands that would be used prediction models through statistical multicollinearity analyses. Then, screening performed based on standard deviation standardized residuals (SD_SR) values preliminary linear...
A vast majority of studies on municipal solid waste (MSW) collection routing do not consider the constraints pertinent to actual road networks such as unidirectional roads and terrain characteristics. As a result, good practices avoidance U-turns cannot be used. This study introduces geographic information system (GIS)-integrated software (RouteSW) for optimization MSW routes by considering path constraints. The uses parallelized hybrid genetic algorithm (PHGA) obtain optimal routes....
Abstract Genetic algorithm optimization of pump‐and‐treat ground water remediation is used to explore the extent bias introduced into designs and costs by sorption assumptions. Remediation problems with equilibrium two‐site kinetic different mass transfer rates are addressed. Under time‐scales flow conditions contamination, all these assumptions created similar initial plumes. Thus, calibration parameters plume may be insufficient information differentiate between rates. Two formulations...
In this study, the QUAL2E model is linked with a genetic algorithm (GA) in order to conduct calibration and verification of model. The efficacy optimization was tested for different observation data quality represented by perfect noisy assumptions. Four cases were studied. first (base) case, conducted reach-variable reaeration coefficient (K2) sediment oxygen demand rate (K4) . second number sampling points increased. third case investigated impact objective function formulation itself on...
Abstract In this study Secchi disk depths (SDD) are determined in an eutrophic Eymir Lake Ankara using the multi-spectral image obtained from Quickbird satellite. For purpose, empirical models given literature and artificial neural networks (ANN) used. SDDs at 17 sampling points measured via field studies. satellite image, pixel values ERDAS Imagine. Results indicate very low correlations between SDD calculated ones in-situ. Correlation of determination (R2) up to 0.92 achieved when ANN...
Abstract Contaminated site remediation is generally difficult, time consuming, and expensive. As a result ranking may aid in efficient allocation of resources. In order to rank the priorities contaminated sites, input parameters relevant contaminant fate transport, exposure assessment should be as accurate possible. Yet, most cases these are vague or not precise. Most current priority methodologies overlook vagueness parameter values do go beyond assigning risk class. The main objective this...
The impacts of physical and chemical aquifer heterogeneities on optimal remediation design, costs, time to compliance are investigated by linking a genetic algorithm with contaminant transport simulation model. Physical were grouped into three levels as follows: (1) hydraulic conductivity (K) heterogeneity only; (2) combined K the distribution coefficient (Kd); (3) K, Kd, mass transfer rate (α). Various degrees considered, ranging from slightly heterogeneous strongly heterogeneous. Impacts...
Management of contaminated sites is a critical environmental issue around the world due to human health risk involved for many and scarcity funding. Moreover, clean-up costs all their background levels with existing engineering technologies may be financially infeasible demand extended periods operation time. Given these constraints, achieve optimal utilization available funds prioritization that need immediate attention, health-risk-based soil quality guidelines should preferred over...