Hydrological Drought and Trend Analysis in Kızılırmak, Yeşilırmak and Sakarya Basins

IF 1.9 4区地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS pure and applied geophysics Pub Date : 2024-05-15 DOI:10.1007/s00024-024-03499-9

Veysi Kartal, Muhammet Emin Emiroglu

{"title":"Hydrological Drought and Trend Analysis in Kızılırmak, Yeşilırmak and Sakarya Basins","authors":"Veysi Kartal, Muhammet Emin Emiroglu","doi":"10.1007/s00024-024-03499-9","DOIUrl":null,"url":null,"abstract":"<div><p>Water is one of the most essential elements for human life and must be provided for life necessities. Historical changes in hydro-meteorological data are vital for operating and planning water structures. Drought indices are commonly used in the literature to assess the drought. Long-term streamflow records were used to evaluate the hydrological drought based on the Stream Flow Drought Index (SDI) in Sakarya, Kızılırmak and Yeşilırmak basins located in Turkey for 56 years (1965–2020) with sixteen stations. SDI values were calculated at 1-, 3-, 6-, and 12-month scales based on moving averages (MA) to analyze the drought. Run Test and Double Mass Curve were applied to analyze the streamflow data. Moreover, Sen’s Innovative Trend Detection Test (SITDT), Innovative Polygon Trend Analysis (IPTA), Mann–Kendall and Sen’s slope were applied to evaluate the trend in the streamflow. Findings show that similar results were obtained for SDI-1, SDI-3, SDI-6, and SDI-12 results based on MA at the same stations. Although different droughts occurred, normal droughts were observed more. Downward trends were detected in streamflow data based on IPTA, SITDT, Mann–Kendall and Sen’s slope. As a result, assessment of hydrological drought and trend analysis in these basins will contribute to water resources planning and management in the basins.</p></div>","PeriodicalId":21078,"journal":{"name":"pure and applied geophysics","volume":"181 6","pages":"1919 - 1943"},"PeriodicalIF":1.9000,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"pure and applied geophysics","FirstCategoryId":"89","ListUrlMain":"https://link.springer.com/article/10.1007/s00024-024-03499-9","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}

引用次数: 0

Abstract

Water is one of the most essential elements for human life and must be provided for life necessities. Historical changes in hydro-meteorological data are vital for operating and planning water structures. Drought indices are commonly used in the literature to assess the drought. Long-term streamflow records were used to evaluate the hydrological drought based on the Stream Flow Drought Index (SDI) in Sakarya, Kızılırmak and Yeşilırmak basins located in Turkey for 56 years (1965–2020) with sixteen stations. SDI values were calculated at 1-, 3-, 6-, and 12-month scales based on moving averages (MA) to analyze the drought. Run Test and Double Mass Curve were applied to analyze the streamflow data. Moreover, Sen’s Innovative Trend Detection Test (SITDT), Innovative Polygon Trend Analysis (IPTA), Mann–Kendall and Sen’s slope were applied to evaluate the trend in the streamflow. Findings show that similar results were obtained for SDI-1, SDI-3, SDI-6, and SDI-12 results based on MA at the same stations. Although different droughts occurred, normal droughts were observed more. Downward trends were detected in streamflow data based on IPTA, SITDT, Mann–Kendall and Sen’s slope. As a result, assessment of hydrological drought and trend analysis in these basins will contribute to water resources planning and management in the basins.

Abstract Image

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

克孜勒玛克、叶希勒玛克和萨卡里亚盆地的水文干旱和趋势分析

水是人类生活最基本的元素之一，必须为生活必需品提供水源。水文气象数据的历史变化对水利工程的运行和规划至关重要。文献中通常使用干旱指数来评估干旱。根据位于土耳其的萨卡里亚、克兹勒马克和叶希勒马克盆地 56 年（1965-2020 年）内 16 个站点的溪流干旱指数（SDI），使用长期溪流记录来评估水文干旱。根据移动平均值（MA）计算了 1 个月、3 个月、6 个月和 12 个月的 SDI 值，以分析干旱情况。运行测试和双质量曲线被用于分析溪流数据。此外，还采用了森氏创新趋势检测测试 (SITDT)、创新多边形趋势分析 (IPTA)、曼-肯德尔 (Mann-Kendall) 和森氏斜率 (Sen's slope) 等方法来评估溪流的趋势。结果显示，基于同一站点的 MA，SDI-1、SDI-3、SDI-6 和 SDI-12 的结果相似。虽然出现了不同的干旱，但正常干旱出现的更多。根据 IPTA、SITDT、Mann-Kendall 和 Sen's 坡度，检测到溪流数据呈下降趋势。因此，这些流域的水文干旱评估和趋势分析将有助于这些流域的水资源规划和管理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

pure and applied geophysics 地学-地球化学与地球物理

CiteScore

4.20

自引率

5.00%

发文量

240

审稿时长

9.8 months

期刊介绍： pure and applied geophysics (pageoph), a continuation of the journal "Geofisica pura e applicata", publishes original scientific contributions in the fields of solid Earth, atmospheric and oceanic sciences. Regular and special issues feature thought-provoking reports on active areas of current research and state-of-the-art surveys. Long running journal, founded in 1939 as Geofisica pura e applicata Publishes peer-reviewed original scientific contributions and state-of-the-art surveys in solid earth and atmospheric sciences Features thought-provoking reports on active areas of current research and is a major source for publications on tsunami research Coverage extends to research topics in oceanic sciences See Instructions for Authors on the right hand side.