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Long Term Quantification of Climate and Land Cover Change Impacts on Streamflow in an Alpine River Catchment, Northwestern China

机译:中国西北高山流域气候和土地覆盖变化对河流流量的长期量化影响

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Quantifying the long term impacts of climate and land cover change on streamflow is of great important for sustainable water resources management in inland river basins. The Soil and Water Assessment Tool (SWAT) model was employed to simulate the streamflow in the upper reaches of Heihe River Basin, northwestern China, over the last half century. The Sequential Uncertainty Fitting algorithm (SUFI-2) was selected to calibrate and validate the SWAT model. The results showed that both Nash-Sutcliffe efficiency ( NSE ) and determination coefficient ( R 2 ) were over 0.93 for calibration and validation periods, the percent bias ( PBIAS ) of the two periods were—3.47% and 1.81%, respectively. The precipitation, average, maximum, and minimum air temperature were all showing increasing trends, with 14.87 mm/10 years, 0.30 °C/10 years, 0.27 °C/10 year, and 0.37 °C/10 years, respectively. Runoff coefficient has increased from 0.36 (averaged during 1964 to 1988) to 0.39 (averaged during 1989 to 2013). Based on the SWAT simulation, we quantified the contribution of climate and land cover change to streamflow change, indicated that the land cover change had a positive impact on river discharge by increasing 7.12% of the streamflow during 1964 to 1988, and climate change contributed 14.08% for the streamflow increasing over last 50 years. Meanwhile, the climate change impact was intensive after 2000s. The increasing of streamflow contributed to the increasing of total streamflow by 64.1% for cold season (November to following March) and 35.9% for warm season (April to October). The results provide some references for dealing with climate and land cover change in an inland river basin for water resource management and planning.
机译:量化气候和土地覆盖变化对河流流量的长期影响,对于内陆河流域的可持续水资源管理至关重要。在过去的半个世纪中,使用了土壤和水评估工具(SWAT)模型来模拟中国西北黑河流域上游的水流。选择了顺序不确定度拟合算法(SUFI-2)来校准和验证SWAT模型。结果表明,在校准和验证期间,纳什-舒克利夫效率(NSE)和测定系数(R 2)均超过0.93,两个时期的百分比偏差(PBIAS)分别为-3.47%和1.81%。降水,平均,最高和最低气温均呈上升趋势,分别为14.87 mm / 10年,0.30°C / 10年,0.27°C / 10年和0.37°C / 10年。径流系数从0.36(1964年至1988年平均)增加到0.39(1989年至2013年平均)。基于SWAT模拟,我们量化了气候和土地覆盖变化对河流流量变化的贡献,表明土地覆盖变化对河流流量产生了积极影响,在1964年至1988年期间增加了7.12%的流量,而气候变化贡献了14.08过去50年中流量增加的百分比。同时,在2000年代后,气候变化的影响加剧。流量增加导致冷季(11月至次年3月)的总流量增加了64.1%,而暖季(4月至10月)的总流量增加了35.9%。研究结果为内陆河流域气候和土地覆被变化的水资源管理和规划提供了参考。

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