Assessment of Hydrological Drought Index change over long period (1990–2020): The case of İskenderun Gönençay Stream, Türkiye

IF 0.9 Q4 GEOSCIENCES, MULTIDISCIPLINARY
Serin Değerli Şimşek, Ömer Çapar, E. Turhan
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Abstract

Recently, due to changes in the global climate, there have been significant increases in flood and drought events. The changes in wet and dry periods can be examined by various methods using hydrometeorological data to analyze climate disasters. In this study, Gönençay Stream in the Asi River Basin was chosen as the study area, which contains abundant underground and surface water reserves in Türkiye. Within this region, not only are the agricultural activities intense, but also hydraulic structure applications such as dams and reservoirs draw attention. Previous studies stated that meteorological and agricultural droughts have started to be noticed in the basin. Therefore, temporal variation analyses can positively contribute to assessing possible hydrological droughts in the following years. In this context, wet and drought periods were determined using the Streamflow Drought Index method at 3, 6, 9, and 12-month time scales with monthly average flow data observed between 1990 and 2020. At the same time, the number and probabilities of drought categories on a 12-month time scale, the first expected transition times between classifications, and the expected residence times between categories were specified. The study revealed that the most severe dry period occurred between 2013 and 2014 and was classified as Extremely Drought. The wettest period was around 2018–2019 and was classified as Extremely Wet. The largest expected time residence among all classifications was calculated for the Extremely Drought category with nine months, means that if the Extremely Drought period ever occurs, it remains for approximately nine months. While the Moderately Drought period occurred within one month following the Extremely Drought duration, and a Near Normal Wet period was observed three months after the Extremely Wet period. The most seen drought category for monthly calculations was the Near Normal Wet category, and was seen over 200 times with a 52.8% probability. Considering the Gönençay region, it is possible that any Extreme drought classification eventually regresses to normal.
1990-2020年水文干旱指数的长期变化评价:以浙江 İskenderun Gönençay溪为例
最近,由于全球气候的变化,洪水和干旱事件显著增加。利用水文气象资料分析气候灾害,可以采用多种方法考察干湿期的变化。本次研究选取了阿西河流域Gönençay溪流作为研究区域,该流域蕴藏着丰富的地下水和地表水储量。在该地区,不仅农业活动密集,而且水坝和水库等水工结构的应用也引起了人们的注意。此前的研究表明,该流域的气象和农业干旱已经开始受到关注。因此,时间变化分析对未来几年可能发生的水文干旱有积极的贡献。在此背景下,利用1990 - 2020年观测到的月平均流量数据,利用径流干旱指数法在3、6、9和12个月的时间尺度上确定了湿期和旱期。同时,确定了12个月时间尺度上干旱类别的数量和概率、类别之间的首次预期过渡时间和类别之间的预期停留时间。研究显示,最严重的干旱期发生在2013年至2014年,被归类为极端干旱。最潮湿的时期是在2018年至2019年左右,被归类为极度潮湿。在所有分类中,极端干旱类别的预期停留时间最长,为9个月,这意味着如果极端干旱时期发生,它将持续大约9个月。中度干旱期发生在极端干旱期后1个月内,接近正常湿润期发生在极端湿润期后3个月。每月计算中最常见的干旱类别是近正常潮湿类别,出现次数超过200次,概率为52.8%。考虑到Gönençay区域,任何极端干旱分类最终都有可能回归正常。
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来源期刊
AIMS Geosciences
AIMS Geosciences GEOSCIENCES, MULTIDISCIPLINARY-
自引率
7.70%
发文量
31
审稿时长
8 weeks
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