Khoie Mohammad Masoud Mohammadpour, Nasseri Mohsen, Banihashemi Mohammad Ali
School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Environ Sci Pollut Res Int. 2023 Mar;30(15):45029-45045. doi: 10.1007/s11356-023-25478-8. Epub 2023 Jan 26.
Human activities and climate change are recognized as two of the most important drivers of hydrologic variability and have attracted the interest of researchers over the past decade. Changes in land use, dam construction, agricultural development, and global warming are forces that directly or indirectly impact the global and local hydrologic regime. This study examines the effects of these drivers on streamflow and sediment transport in the Gorganroud watershed, located in the north of Iran. In addition, the most sensitive land use patterns are detected using statistical approaches and a hydrologic model. The current study's principal argument is based on the variability of land use patterns during the modeling procedure (2007-2019). The Soil and Water Assessment Tool (SWAT) model is used to consider the land use dynamics during the simulation period based on the hydrological regime of the reference period. The Simple Differential Method (SDM) and Climate Elasticity Method (CEM) are utilized to estimate the contribution rates of land use and climate change in streamflow and sediment transport changes. The results indicate that changes in land use have contributed more than 60% to streamflow and sediment regime changes in all subbasins. A sensitivity analysis of land uses and the spatial distribution of the Human Contribution Rate (HCR) over the study area reveal that an increase in orchard land use (8.7% during the computational period) is primarily responsible for these significant changes.
人类活动和气候变化被认为是水文变异性的两个最重要驱动因素,在过去十年中引起了研究人员的关注。土地利用变化、大坝建设、农业发展和全球变暖是直接或间接影响全球和地方水文状况的因素。本研究考察了这些驱动因素对位于伊朗北部的戈尔甘鲁德流域的径流和泥沙输移的影响。此外,还使用统计方法和水文模型检测了最敏感的土地利用模式。当前研究的主要论点基于建模过程(2007 - 2019年)中土地利用模式的变异性。土壤和水资源评估工具(SWAT)模型用于根据参考期的水文状况来考虑模拟期内的土地利用动态。简单差分法(SDM)和气候弹性法(CEM)用于估算土地利用和气候变化在径流和泥沙输移变化中的贡献率。结果表明,土地利用变化在所有子流域的径流和泥沙状况变化中贡献超过60%。对研究区域内土地利用和人类贡献率(HCR)空间分布的敏感性分析表明,果园土地利用的增加(计算期内增加8.7%)是这些显著变化的主要原因。