In recent decades, climate change has influenced the quantity and quality of water resources, affecting water supply for various demands. In this case study, the effects of climate change on the quality of the Ardak River in the northeast of Iran are discussed. The Qual2kW model was used to simulate water quality parameters, by sampling dissolved oxygen (DO), pH, chemical oxygen demand (COD), and NO₃. The rainfall-streamflow model IHACRES was used for simulating monthly streamflow. Monthly general circulation model (GCM) temperature and rainfall data from representative concentration pathways (RCP) RCP2.6 and RCP8.5 were downloaded for 1986 to 2005 and 2020 to 2039. The previously verified model LARS-WG was used to predict future temperatures and rainfall. By importing this data into IHACRES, stream flows were simulated, enabling Qual2kW to predict future effects on water quality. Although changes in temperature of 0.5 to 1.2 °C were predicted, maximum changes in temperature and rainfall will occur in winter and summer in series. Therefore, water quality was predicted to decrease only on the Abghad branch, due to increased temperature and lower flow rates. The highest percentage variations in DO and NO₃ are −12.19 and 31.25 in RCP8.5 and in COD and PH, −35.4 and 0.29 in RCP2.6.

在最近几十年中，气候变化影响了水资源的数量和质量，影响了各种需求的水供应。在本案例研究中，讨论了气候变化对伊朗东北部阿达克河水质的影响。Qual2kW模型用于通过采样溶解氧（DO），pH，化学需氧量（COD）和NO ₃来模拟水质参数。降雨-流量模型IHACRES用于模拟月流量。分别下载了1986年至2005年以及2020年至2039年来自代表性浓度路径（RCP）RCP2.6和RCP8.5的月度一般循环模型（GCM）温度和降雨量数据。之前验证的模型LARS-WG用于预测未来的气温和气温。雨量。通过将这些数据导入IHACRES，可以模拟水流，从而使Qual2kW能够预测未来对水质的影响。尽管预测温度会发生0.5至1.2°C的变化，但冬季和夏季会连续出现温度和降雨的最大变化。因此，由于温度升高和流速降低，预计水质只会在阿布哈德分支上降低。DO和NO _3的变化百分比最高 在RCP8.5中以及在COD和PH中分别为-12.19和31.25，在RCP2.6中分别为-35.4和0.29。