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This study investigates the occurrence and electrochemical removal of four commonly used pesticides—lufenuron, ethoprophos, dichlobenil, and picloram—from groundwater in a semi-arid agricultural basin in Southeastern Türkiye. Groundwater samples were collected from two locations within the study area. At the first sampling site, pesticide concentrations were 0.54 µg/L (lufenuron), 0.14 µg/L (ethoprophos), 0.38 µg/L (dichlobenil), and 0.61 µg/L (picloram), while corresponding values at the second site were 0.48 µg/L, 0.42 µg/L, 0.26 µg/L, and 0.17 µg/L, respectively. An electrocoagulation (EC) process employs aluminum electrodes. Following electrocoagulation treatment, the concentrations of all target pesticides were reduced to levels below the European Union drinking water limit for individual pesticides (0.1 µg/L), as defined by Directive (EU) 2020/2184.

This study evaluates groundwater quality dynamics in the Harran Plain (∼1500 km²), a key agricultural zone within Türkiye’s Southeastern Anatolia Project (GAP). Satellite images from Landsat 5 TM and Landsat 8 OLI/TIRS were used to assess land-use changes over the years 1990, 2000, 2010, and 2020, with the GIS employed for classification and analysis. In this study, groundwater samples collected from twenty different locations in 2005, 2015 and 2025 were analyzed. For each sample, pH, EC, and various ion concentrations (Na, K, Cl, SO₄, NO₃, Ca, Mg, HCO₃) were measured. All analyses were performed using standard hydrogeochemical methods. Data from 20 wells (2005–2015) revealed significant reductions in EC (8235 to 2510 µS/cm) and NO₃⁻ (720 to 327 mg/L), due to drainage systems, improved irrigation, and fertilizer management. Nonetheless, localized pollution persisted. Land-use shifts toward high-value crops improved water efficiency, while urban and industrial expansion introduced new pressures. Results emphasize integrated water–land policies for sustainable groundwater management in arid agroecosystems.

This study investigates the operational performance and optimization of a real greywater treatment system utilizing aluminum (Al)-based electrocoagulation (EC). The EC process was systematically evaluated and optimized through Response Surface Methodology (RSM) using the Box–Behnken Design (BBD), focusing on three critical parameters: pH, current density, and electrolysis time. Greywater samples collected from domestic sources were characterized by key physicochemical parameters including pH, COD, TSS, turbidity-ty, and electrical conductivity. The electrochemical treatment was conducted using a batch reactor equipped with Al electrodes in a monopolar configuration. Scanning Electron Microscopy (SEM), Energy Dispersive X-ray Spectroscopy (EDS), X-ray Diffraction (XRD), and Fourier-Transform Infrared Spectroscopy (FTIR) were employed to characterize both the electrodes and the generated sludge. Results revealed a maximum COD removal efficiency of 86.34% under optimized conditions, with current density being the most influential factor, followed by its significant interaction with pH. The developed quadratic model exhibited high predictive accuracy (R² = 0.96) and revealed significant nonlinear and interaction effects among the parameters. Sludge characterization confirmed the presence of amorphous aluminum hydroxide and oxyhydroxide phases, indicating effective coagulant generation and pollutant capture. The treated greywater met physicochemical criteria for non-potable reuse, such as agricultural irrigation, supporting resource recovery objectives. These findings demonstrate that EC is a low-waste, chemically efficient, and scalable process for decentralized wastewater treatment, aligning with the goals of sustainable chemical engineering.

This study covers groundwater treatment for nitrate (NO3-) removal by the electrocoagulation (EC) method for March (pre-irrigation) and October (post-irrigation) of 2023 for ten observation points in an arid and semi-arid region. Stainless steel (SS) plate electrodes were used in the process, and energy consumption and cost assessment were also carried out. The study area is covered with fertile agricultural lands, and the people of the region make their living from agricultural activities. Therefore, the actual groundwater samples used in the study contain high concentrations of NO3-. The effectiveness of the main operational parameters, such as initial pH, electrical conductivity, and current density, was analyzed. It was observed that nitrate removal at the highest electrical conductivity value (2239 µS/cm) had the lowest energy consumption value (0.81 kWh/m3). The SS values measured at the end of the EC process were < 0.4. In other words, the SS value passing into the water is very low and has no adverse effect on human health. In this study specific to the Harran Plain, a cost of $1.06 per m3 was calculated for nitrate removal using current electricity costs.

This study aims to assess the spatial distribution and health risk potential of nitrate (NO₃⁻) contamination in groundwater resources of the Harran Plain, a semi-arid agricultural region in Southeastern Türkiye. Groundwater samples were collected from 20 locations during pre- and post-irrigation periods and analyzed for a range of hydrochemical parameters. A probabilistic risk assessment framework, based on the U.S. Environmental Protection Agency (USEPA) guidelines, was employed to evaluate non-carcinogenic health risks across different demographic groups. The integration of Geographic Information Systems (GIS), multivariate statistical analyses, and Monte Carlo simulation enabled a comprehensive evaluation of exposure scenarios and contributing factors. This research contributes to the scientific understanding of groundwater vulnerability in intensively farmed areas, provides a decision-support framework for water quality management, and emphasizes the importance of protecting sensitive populations in nitrate-affected regions.

Electrocoagulation is an attractive method for the many types of water and wastewaters treatments due to its advantages such as environmental friendliness, cost effectiveness, energy and high removal efficiency. The goal of this study was to investigate the COD removal rate and energy efficiency of COD parameter from real textile wastewater by solar energy assisted electrocoagulation process using aluminium and iron electrodes. In addition, process optimisation was performed by Monte Carlo Simulation and the relationship between the parameters was investigated by sensitivity analysis. At optimum reaction parameters, COD removal percentage reached 97.51% at aluminium electrode, while the highest removal percentage was 78.70% at iron electrode. The minimum energy consumption and cost for Al and Fe electrode were 1.2 kWh/m³ and 0.144 $/m³, respectively.

Worldwide, approximately US$410 billion is spent annually on the management of four billion tons of domestic solid waste (MSW). The transportation cost alone accounts for more than 50% of the total expenditure on solid waste management. This cost constitutes approximately 85% of the collection and transportation cost. 54.4% of environmental protection expenditures cover waste services. The population of the Barış neighborhood in the Kayapınar district of Diyarbakır, which is the subject of this study, is 23 581 according to the 2020 TUIK data. The average amount of waste produced per person in a month is 7.6 kg/person. In the results of these statistics, it has been seen that the investment costs in the transportation of wastes are increasing day by day. In this study, the performance of ant colony and genetic algorithms, which are among the artificial intelligence techniques, and route optimization using GIS (geographic information system) software were tried to be achieved to solve the GSP (traveling salesman problem), which is included in the route planning problems. The results of the study showed that savings were achieved with an improvement of 15.1576% in GIS, 29.8104% in GA (Genetic algorithm) and 40.5171% in ACS (Ant Colony System) compared to real life. As a result of the application, it has been observed that the ant colony algorithm is superior to the Genetic algorithm and GIS, as it draws a shorter route in terms of distance and obtains a better result in terms of improvement rate.

Solid waste generation has increased significantly as a result of increasing population and living standards. In this context, variables such as waste classification, amount produced, collection and transportation status, disposal method, socioeconomic status of the region include important stages in system planning. It is important to optimize these variables, waste collection route, time, cost, environmental impacts and examine the current situation. The cost of collection and processing accounts for roughly 65-80% of the total cost of the solid waste management system managed by local governments. Therefore, by optimization studies, the trash collection-transport route can significantly reduce this rate. Depreciation and fuel expenditures can be significantly reduced as a result of improvements in operational costs. Denizciler neighborhood was selected as an example of all district characteristics within the study's scope when the socio-economic, demographic, and topographic conditions of the Iskenderun district of Hatay province were evaluated. The ESRI ARCGIS software's tools have been used to test the optimization path. A 421-meter shorter route was discovered using network analysis. Considering the current route, which is 14340 meters long, a 3% improvement has been achieved with the analysis made. Garbage collection was done using the newly developed route in the study's final section. As a result, the viability of the network analysis enhancement has been evaluated in practice, and it has been discovered that time and fuel savings are realized in terms of cost.