Water resources management and optimization

Abstract Photovoltaic (PV)-powered water pumping systems (WPS) are increasingly used for agricultural irrigation, yet their reliability is governed not only by annual energy balance but also by the timing of water withdrawal relative to solar availability and hydraulic storage recovery. This study develops a reliabili…

Onion is a high-value vegetable crop that is highly sensitive to water stress during bulb initiation and enlargement, making irrigation scheduling a critical management decision in semi-arid production environments. The Konya Plain in central Turkey is one of the country's most important onion production zones, but wa…

Başta tarım sektörü olmak üzere tüm sektörlerdeki su kıtlığı sürdürülebilir, yenilenebilir ve alternatif su kaynaklarının kullanımını bir zorunluluk haline getirmiştir. Bu zorunluluğu yerine getiren yağmur suyu hasadının kullanım perspektifini, önemini, avantajlarını ve bileşenleriyle teknik sınıflandırmalarını ortaya…

This study presents a feasibility assessment of hydroelectric energy generation using an inline-pipe Pelton turbine installed on the Akbaş Irrigation Channel in the Denizli region. The design flow rate and turbine operating characteristics were determined using flow-duration curves derived from measured hourly data. T…

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Reservoir construction and agricultural irrigation have substantially altered the natural hydrological regimes of many Mediterranean watersheds. This study aims to reconstruct the natural flow conditions of the Egirdir Lake Basin (Türkiye) and quantify the impacts of irrigation and reservoir operations on water inflow…

Water is an indispensable resource essential for sustaining life on Earth. Sustainable access to safe drinking and utility water is essential for human survival. Considering the potential of water on the earth and the rapid increase in the population, saving the existing potential water gains importance. The behavior…

This study develops and evaluates a machine learning-based forecasting framework for improving the day-ahead production estimates of a run-of-river hydropower plant operating under Turkish electricity market conditions. The analysis is based on hourly operational data and compares operator-based heuristic forecasts wi…

This study develops and evaluates a machine learning-based forecasting framework for improving the day-ahead production estimates of a run-of-river hydropower plant operating under Turkish electricity market conditions. The analysis is based on hourly operational data and compares operator-based heuristic forecasts wi…

Incomplete station meteorological records constrain sustainable water-demand planning and climate-adaptation decisions in data-limited regions. Open-data reference evapotranspiration (ETo) products can provide continuous hydroclimatic information for atmospheric-demand screening, but they do not directly represent rea…

The effective and sustainable management of water resources is of critical importance, particularly in cities where infrastructure damage has occurred following a disaster. In this study, water consumption was estimated using a univariate time series model that reflects post-disaster conditions, based on urban water c…

Purpose This study aims to investigate the influence of climate change and socio-economic parameters on the scale of infrastructure projects using Artificial Intelligence (AI)-based Machine Learning (ML) algorithms. By focusing on drinking water systems in Adana, Türkiye, the research provides a robust framework for f…