2016
DOI: 10.1002/rra.3106
|View full text |Cite
|
Sign up to set email alerts
|

Trend Analysis of Maximum Hydrologic Drought Variables Using Mann–Kendall and Şen's Innovative Trend Method

Abstract: Droughts as destructive climatic extreme events affect natural environment of an area. Identifying droughts has a vital importance in the planning and management of water resource systems of a river basin. This study investigates the trends of maximum hydrologic drought variables, annual maximum duration (AMD), and annual maximum severity (AMS), by using Mann–Kendall, modified Mann–Kendall, and recently developed Şen's innovative trend analysis (ITA) methods. These methods are applied to the AMD and AMS of nin… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
30
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
6
3
1

Relationship

0
10

Authors

Journals

citations
Cited by 108 publications
(38 citation statements)
references
References 50 publications
0
30
0
Order By: Relevance
“…Numerous studies have employed the MK (Chattopadhyay and Edwards 2016;Tosunoglu and Kisi 2016) and MMK (Giuntoli et al 2013;Kibria et al 2016). These are possibly the most widely used nonparametric tests for trend detection in hydrological and climatological studies (Mitof and Pravalie 2014;Jones et al 2015).…”
Section: Trend Detection Methods Applied In the Studymentioning
confidence: 99%
“…Numerous studies have employed the MK (Chattopadhyay and Edwards 2016;Tosunoglu and Kisi 2016) and MMK (Giuntoli et al 2013;Kibria et al 2016). These are possibly the most widely used nonparametric tests for trend detection in hydrological and climatological studies (Mitof and Pravalie 2014;Jones et al 2015).…”
Section: Trend Detection Methods Applied In the Studymentioning
confidence: 99%
“…The review of the literature revealed that even ITA had been used in different studies; its application over China is still at infancy. Furthermore, the literature review revealed that no study had been published on analyzing the streamflow trend in the Yangtze River (Cuntan and Zhutuo stations) by the ITA method [34,[40][41][42]. The trend estimated in the flow of Yangtze River using the MK test in the previous studies may be due to the variability (autocorrelations and cycles) in time series which may not persist for the long-run.…”
Section: Introductionmentioning
confidence: 98%
“…In addition, the nonparametric Mann-Kendall (MK) test was used to identify the drying or wetting trends in the MLRYRB based on the SPI values at the 3-month time scale. For a detailed introduction to the test, please refer to the literature (Zhai and Feng, 2009;Tosunoglu and Kisi, 2017). The main feature of the MK test is that the distribution characteristics of the data need not be assumed in ad- vance; therefore, this test has been widely used in trend analysis.…”
Section: The Standardized Precipitation Indexmentioning
confidence: 99%