Ullah Sami, Ali Usman, Rashid Muhammad, Haider Saif, Kisi Ozgur, Vishwakarma Dinesh Kumar, Raza Ali, Alataway Abed, Dewidar Ahmed Z, Mattar Mohamed A
Hydraulics and Irrigation Engineering Division, Civil Engineering Department, University of Engineering and Technology, Lahore, 54890, Pakistan.
Centre of Excellence in Water Resources Engineering, University of Engineering and Technology, Lahore, 54890, Pakistan.
Sci Rep. 2024 Sep 27;14(1):22080. doi: 10.1038/s41598-024-73355-2.
The study investigates the interplay of land use dynamics and climate change on the hydrological regime of the Ravi River using a comprehensive approach integrating Geographic Information System (GIS), remote sensing, and hydrological modeling at the catchment scale. Employing the Soil and Water Assessment Tool (SWAT) model, simulations were conducted to evaluate the hydrological response of the Ravi River to both current conditions and projected future scenarios of land use and climate change. This study differs from previous ones by simulating future land use and climate scenarios, offering a solid framework for understanding their impact on river flow dynamics. Model calibration and validation were performed for distinct periods (1999-2002 and 2003-2005), yielding satisfactory performance indicators (NSE, R, PBIAS = 0.85, 0.83, and 10.01 in calibration and 0.87, 0.89, and 7.2 in validation). Through supervised classification techniques on Landsat imagery and TerrSet modeling, current and future land use maps were generated, revealing a notable increase in built-up areas from 1990 to 2020 and projections indicating further expansion by 31.7% from 2020 to 2100. Climate change projections under different socioeconomic pathways (SSP2 and SSP5) were derived for precipitation and temperature, with statistical downscaling applied using the CMhyd model. Results suggest substantial increases in precipitation (10.9 - 14.9%) and temperature (12.2 - 15.9%) across the SSP scenarios by the end of the century. Two scenarios, considering future climate conditions with current and future land use patterns, were analyzed to understand their combined impact on hydrological responses. In both scenarios, inflows to the Ravi River are projected to rise significantly (19.4 - 28.4%) from 2016 to 2100, indicating a considerable alteration in seasonal flow patterns. Additionally, historical data indicate a concerning trend of annual groundwater depth decline (0.8 m/year) from 1996 to 2020, attributed to land use and climate changes. The findings underscore the urgency for planners and managers to incorporate climate and land cover considerations into their strategies, given the potential implications for water resource management and environmental sustainability.
该研究采用综合方法,整合地理信息系统(GIS)、遥感和流域尺度的水文模型,调查土地利用动态与气候变化对拉维河水文状况的相互作用。利用土壤和水资源评估工具(SWAT)模型进行模拟,以评估拉维河对当前状况以及土地利用和气候变化的预测未来情景的水文响应。本研究与以往研究的不同之处在于模拟了未来的土地利用和气候情景,为理解它们对河流水动力学的影响提供了坚实的框架。针对不同时期(1999 - 2002年和2003 - 2005年)进行了模型校准和验证,在校准和验证中分别得出了令人满意的性能指标(NSE、R、PBIAS分别为0.85、0.83和10.01以及0.87、0.89和7.2)。通过对陆地卫星图像的监督分类技术和TerrSet建模,生成了当前和未来的土地利用图,显示1990年至2020年建成区显著增加,预测表明从2020年到2100年将进一步扩大31.7%。利用CMhyd模型进行统计降尺度,得出了不同社会经济路径(SSP2和SSP5)下降水和温度的气候变化预测。结果表明,到本世纪末,在所有SSP情景下,降水(10.9 - 14.9%)和温度(12.2 - 15.9%)将大幅增加。分析了两种情景,即考虑当前和未来土地利用模式下的未来气候条件,以了解它们对水文响应的综合影响。在这两种情景中,预计从2016年到2100年,流入拉维河的水量将显著增加(19.4 - 28.4%),这表明季节性水流模式将发生相当大的变化。此外,历史数据表明,1996年至2020年期间,年地下水位呈令人担忧的下降趋势(每年0.8米),这归因于土地利用和气候变化。研究结果强调,鉴于对水资源管理和环境可持续性的潜在影响,规划者和管理者迫切需要将气候和土地覆盖因素纳入其战略。