农业灌区长期水文干旱分析:以土耳其dÖrtyol-erzin平原为例

E. Turhan, Serin Değerli, Eda Nur Çatal
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引用次数: 2

摘要

近年来,随着气候变化的影响,干旱被公认为是最重要的自然灾害之一。在水资源的规划、开发和管理过程中,对过去干旱的分析和减少未来可能产生的负面影响的研究变得更加重要。对干旱风险的最佳适应只能通过采取整体方法来实现。在本研究中,优先选择位于土耳其南部的Dörtyol-Erzin平原作为水文干旱分析的案例研究,该平原覆盖了阿西河流域的肥沃农田,流域面积约为7800 km2。在文献中,它是指出,有一个缓慢的干旱进程的亚细河流域。地下水有减少的趋势,蒸发和温度参数有增加的趋势。Dörtyol-Erzin平原的农业灌溉依赖于地下水和地表水资源,长期的水文干旱分析将有利于今后的研究。据此,利用1986-2020年35 a的流量数据,采用径流干旱指数(Streamflow Drought Index, SDI)方法进行水文干旱分析。通过国家抗旱中心(NDMC)的开源“SPI_SL_6.exe”程序进行计算。对3、6、12、24和48个月不同时间尺度的干旱结果进行分析,并制作相应的图表。因此,确定了2008年和2012年水年之间最长的干旱期,而在2003年和2007年之间评估了最长的湿润期。SDI值随月周期的增加而减小,SDI-3在所有干旱期均达到最大指数值。当对所有图表进行详细检查时,可以表明某些水年的长期干旱是显著的。
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LONG-TERM HYDROLOGICAL DROUGHT ANALYSIS IN AGRICULTURAL IRRIGATION AREA: THE CASE OF DÖRTYOL-ERZIN PLAIN, TURKEY
In recent years, with the effect of the climate change, drought is accepted as one of the most important natural disasters. In the planning, development and management processes of water resources, studies on the analysis of past droughts and the decreasing of possible negative effects in the future, have become even more substantial. The best adaptation to drought risk can only be achieved by adopting holistic approaches. In this study, Dörtyol-Erzin Plain, which is located in the south of Turkey and covers the fertile agricultural lands of the Asi River Basin with a drainage area of approximately 7800 km2, was preferred as the case study for hydrological drought analysis. In the literature, it is stated that there is a slow drought progress for the Asi River Basin. It is highlighted that decreasing trend in groundwater and increasing trend in evaporation and temperature parameters are remarked. Since the agricultural irrigation of Dörtyol-Erzin Plain is dependent on groundwater and surface resources, hydrological drought analysis over the long period will be beneficial for the future studies. Accordingly, Streamflow Drought Index (SDI) method was used for the hydrological drought analysis by using 35 years of flow data between the years of 1986-2020. The open source “SPI_SL_6.exe” program via National Drought Mitigation Center (NDMC) was operated in the calculations. Drought results were analyzed at different time scales of 3, 6, 12, 24 and 48 months, afterwards relevant graphs and tables were created. Consequently, the longest dry period has been determined between 2008 and 2012 water years, while the wet period has been evaluated between 2003 and 2007 ones. Furthermore, it is concluded that SDI values decreased as the monthly time periods increased, while the maximum indice values were obtained with SDI-3 in all drought periods. When all graphs are examined detailed, it can be expressed long-term droughts for certain water years are notable.
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