Department of Civil Engineering, Bogazici University, 34342, Istanbul, Sariyer, Turkey.
Department of Civil Engineering, Istanbul Technical University, 34469, Istanbul, Maslak, Turkey.
Environ Sci Pollut Res Int. 2023 Aug;30(38):89581-89596. doi: 10.1007/s11356-023-28700-9. Epub 2023 Jul 16.
Climate change is a global phenomenon that directly affects agriculture by altering crop yield, nutritional quality, pests, and plant diseases. The North Aegean Basin located in Turkey has considerable agricultural importance due to its fertile soils. Agricultural activities have increased significantly and uncontrollably in the last decade, resulting in dramatic changes in nitrate and phosphorus levels in surface water within the watershed. Changes in climatic conditions have the potential to impact the quantity and quality of water resources. Best management practices (BMPs) are presently utilized as a planning tool to enhance the quality of water resources. To develop policies in this regard, it is necessary to evaluate the effectiveness of BMPs. To this end, this study aims to investigate the potential effect of climate change on the surface water quality of the North Aegean Basin. For the period between 2010 and 2030, global climate data retrieved from Concentration Pathway (RCP) scenarios 4.5 and 8.5 and regionally downscaled were used to feed the Soil and Water Assessment Tool (SWAT) model. The various potential BMP scenarios were developed and simulated in the hydrological model by considering the effects of climate change. The RCP4.5 scenario reduced the precipitation by 15.11%, while the RCP8.5 scenario reduced the precipitation by 10.97%. Decreased precipitation also affected the runoff and the nutrient loads and concentrations. As a result of the RCP4.5 simulation, TP and TN concentrations increased by 24.42% and 58.45%, respectively, in the IST_KEN014 station. Improvements were observed in TN and TP concentrations with the effect of applied BMP simulations. Also, the results revealed that the applied BMP scenarios may contribute to considerable reductions in nutrient loads. Considering the RCP4.5 scenario, BMPs reduced TN loads in the basin by 2.42-10.97%, while reducing TP loads by around 3.60-16.81%. Considering the RCP8.5 scenario, the BMPs reduced the TN loads in the basin between 2.21 and 10.04%, while they reduced the TP loads between 3.57 and 16.67%.
气候变化是一种全球性现象,它通过改变作物产量、营养质量、害虫和植物病害直接影响农业。位于土耳其的北爱琴海盆地由于其肥沃的土壤而具有相当重要的农业意义。在过去十年中,农业活动显著且不可控制地增加,导致流域内地表水的硝酸盐和磷水平发生急剧变化。气候条件的变化有可能影响水资源的数量和质量。目前,最佳管理措施(BMPs)被用作提高水资源质量的规划工具。为了在这方面制定政策,有必要评估 BMP 的有效性。为此,本研究旨在调查气候变化对北爱琴海盆地地表水水质的潜在影响。在 2010 年至 2030 年期间,使用从浓度途径(RCP)情景 4.5 和 8.5 检索到的全球气候数据,并对其进行区域降尺度处理,为土壤和水评估工具(SWAT)模型提供数据。通过考虑气候变化的影响,在水文模型中开发并模拟了各种潜在的 BMP 情景。RCP4.5 情景将降水减少了 15.11%,而 RCP8.5 情景将降水减少了 10.97%。减少的降水也影响了径流量和养分负荷和浓度。在 RCP4.5 模拟的结果中,在 IST_KEN014 站,TP 和 TN 浓度分别增加了 24.42%和 58.45%。应用 BMP 模拟的效果改善了 TN 和 TP 浓度。此外,结果表明,应用的 BMP 情景可能有助于大量减少养分负荷。考虑到 RCP4.5 情景,BMP 将流域内的 TN 负荷减少了 2.42-10.97%,而将 TP 负荷减少了约 3.60-16.81%。考虑到 RCP8.5 情景,BMP 将流域内的 TN 负荷减少了 2.21-10.04%,而将 TP 负荷减少了 3.57-16.67%。