A new framework to spatial and temporal drought analysis for 1990-2020 period with Mann-Kendall and innovative trend analysis methods in Turkey

被引:3
|
作者
Ozocak, Murat [1 ]
Akay, Anil Orhan [2 ]
Esin, Abdullah Ilker [1 ]
Yurtseven, Huseyin [3 ]
Akgul, Mustafa [2 ]
机构
[1] Istanbul Univ Cerrahpasa, Vocat Sch Forestry, Irrigat Technol Program, TR-34473 Sariyer, Istanbul, Turkiye
[2] Istanbul Univ Cerrahpasa, Dept Forest Construct & Transportat, Fac Forestry, TR-34473 Sariyer, Istanbul, Turkiye
[3] Istanbul Univ Cerrahpasa, Fac Forestry, Dept Surveying & Cadastre, TR-34473 Sariyer, Istanbul, Turkiye
关键词
Drought; Standardized precipitation index (SPI); Spatial analysis; Geographic information system (GIS); Mann-Kendall (MK); Innovative trend analysis<bold> (</bold>ITA); STANDARDIZED PRECIPITATION; RIVER-BASIN; REGION; INTERPOLATION; VARIABILITY; PERFORMANCE; SPI;
D O I
10.1007/s11069-023-06258-6
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
With the escalating global impacts of climate change, the prevalence of drought has become a pressing concern. Effective routine observation and analysis of drought have gained paramount importance. Future drought policies are adversely affected due to the inability to accurately reflect the drought changes caused by spatial differences in analysis studies. A new approach is required. Presenting a novel perspective, this study focuses on a comprehensive temporal and spatial analysis of drought occurrences in Turkey. Employing the 12-month standardized precipitation index (SPI) calculated from data spanning 1990 to 2020, the study undertook rigorous geographic information system (GIS)-based spatial processing. After the areal sizes were calculated, drought trends were revealed by applying both Mann-Kendall (MK) and innovative trend analysis (ITA) tests on percentile areas. The assessment encompassed five distinct categories, with individual trend analyses conducted for each category. Significance levels of 1%, 5%, and 10% were applied in both trend tests. The evaluation of province-level and regional-level drought trends was conducted following the generation of province-based areal trend maps. The findings revealed a declining trend within the humid categories along the Black Sea and Mediterranean coastal regions, and the inland provinces of Eastern Anatolia. Additionally, an areal change was detected from relatively more humid or drier classes to near normal classes. This study's outcomes enhance long-term drought assessment and monitoring at national and regional scales. This new approach in drought analysis, determined according to Turkey's conditions, can be used in future drought planning by eliminating spatial differences in the international sense.
引用
收藏
页码:1463 / 1517
页数:55
相关论文
共 28 条
  • [21] Sea surface temperature trend analysis by Mann-Kendall test and sen's slope estimator: a study of the Hai Phong coastal area (Vietnam) for the period 1995-2020
    Vu Duy Vinh
    Ouillon, Sylvain
    Nguyen Minh Hai
    VIETNAM JOURNAL OF EARTH SCIENCES, 2022, 44 (01): : 73 - 91
  • [22] Spatial-temporal distribution of preterm birth in China, 1990-2020: A systematic review and modelling analysis
    Hu, Wei-Hua
    Gao, Xin-Yuan
    Li, Xiu-Xiu
    Lin, Qing-Mei
    He, Li-Ping
    Lai, Ying-Si
    Hao, Yuan-Tao
    PAEDIATRIC AND PERINATAL EPIDEMIOLOGY, 2024, 38 (02) : 130 - 141
  • [23] Analysis of Changes in Vegetation Index during the Rapid Urban Spatial Development Period (1990-2020) in Tehran Metropolis, Iran
    Zenouzi, Alizadeh Shahin
    Yenneti, Komali
    Teimouri, Raziyeh
    Abbasiyan, Fatemeh
    Palme, Massimo
    ATMOSPHERE, 2022, 13 (12)
  • [24] Mann-Kendall Monotonic Trend Test and Correlation Analysis using Spatio-temporal Dataset: the case of Asia using vegetation greenness and climate factors (vol 5, 803, 2018)
    Lamchin, Munkhnasan
    Lee, Woo-Kyun
    Jeon, Seong Woo
    Wang, Sonam Wangyel
    Lim, Chul-Hee
    Song, Cholho
    Sung, Minjun
    METHODSX, 2019, 6 : 1379 - 1383
  • [25] Spatial-temporal variability of climate indices in Chungcheong provinces of Korea: Application of graphical innovative methods for trend analysis
    Adelodun, Bashir
    Odey, Golden
    Cho, Hyungon
    Lee, Seulgi
    Adeyemi, Khalid Adeola
    Choi, Kyung Sook
    ATMOSPHERIC RESEARCH, 2022, 280
  • [26] A New Framework for Evaluation of Rainfall Temporal Variability through Principal Component Analysis, Hybrid Adaptive Neuro-Fuzzy Inference System, and Innovative Trend Analysis Methodology
    Alireza Farrokhi
    Saeed Farzin
    Sayed-Farhad Mousavi
    Water Resources Management, 2020, 34 : 3363 - 3385
  • [27] A New Framework for Evaluation of Rainfall Temporal Variability through Principal Component Analysis, Hybrid Adaptive Neuro-Fuzzy Inference System, and Innovative Trend Analysis Methodology
    Farrokhi, Alireza
    Farzin, Saeed
    Mousavi, Sayed-Farhad
    WATER RESOURCES MANAGEMENT, 2020, 34 (10) : 3363 - 3385
  • [28] Reply to the comments on "Comparison of Mann-Kendall and innovative trend method for water quality parameters of the Kizilirmak River, Turkey" by Kisi, O. and Ay, M. [J. Hydrol. 513 (2014) 362-375] and "An innovative method for trend analysis of monthly pan evaporations" by Kisi, O. [J. Hydrol. 527 (2015) 1123-1129]
    Kisi, Ozgur
    Ay, Murat
    JOURNAL OF HYDROLOGY, 2016, 538 : 883 - 884