Multiple trend analysis of rainfall and temperature for a monsoon-dominated catchment in India

Kumar, Navneet; Tischbein, Bernhard; Beg, Mirza Kaleem

doi:10.1007/s00703-018-0617-2

Cited by 20 publications

(11 citation statements)

References 53 publications

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“…Since most of the hydro-meteorological time series data are not normally distributed. Hence, non-parametric methods have been widely used [33,53]. In this study, we have applied several non-parametric tests (as mentioned in Table 1) for trend detection, stationary tests, and homogeneity analysis of rainfall (monthly and annual time scale) for nine rainfall stations located in six sub basins of the Tafna basin ( Figure 1) over a time period between 1979 and 2011.…”

Section: Methodsmentioning

confidence: 99%

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Analyzing Trend and Variability of Rainfall in The Tafna Basin (Northwestern Algeria)

et al. 2020

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Northwest Algeria has experienced fluctuations in rainfall between the two decades 1940s and 1990s from positive to negative anomalies, which reflected a significant decline in rainfall during the mid-1970s. Therefore, further analyzing rainfall in this region is required for improving the strategies on water resource management. In this study, we complement previous studies by dealing with sub basins that were not previously addressed in Tafna basin (our study area located in Northwest Algeria), and by including additional statistical methods (Kruskal–Wallis test, Jonckheere-Terpstra test, and the Friedman test) that were not earlier reported on the large scale (Northwest Algeria). In order to analyse the homogeneity, trends, and stationarity in rainfall time series for nine rainfall stations over the period 1979–2011, we have used several statistical tests. The results showed an increasing trend for annual rainfall after the break detected in 2007 for Djbel Chouachi, Ouled Mimoun, Sidi Benkhala stations using Hubert, Pettitt, and Buishand tests. The Lee and Heghinian test has detected a break at the same year in 2007 for all stations except Sebdou, Beni Bahdel, and Hennaya stations, which have a break date in 1980. We have confirmed this increasing trend for rainfall with other trend detection methods such as Mann Kendall and Sen’s method that highlighted an upward trend for all the stations in the autumn season, which is mainly due to an increase in rainfall in September and October. On a monthly scale, the date of rupture is different from one station to another because the time series are not homogeneous. In addition, we have applied three tests enabling further results: (i) the Jonckheere-Terpstra test has detected an upward trend for two stations (Khemis and Hennaya), (ii) Friedman test has indicated the difference between the mean rank again with Khemis and Hennaya stations and the Merbeh station, (iii) according to the Kruskal-Wallis test, there have been no variance detected between all the rainfall stations. The increasing trend in rainfall may lead to a rise in stream flow and enhance potential floods risks in low-lying regions of the study area.

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Section: Methodsmentioning

confidence: 99%

“…Several studies have been given high attention in detecting the trend in climate variables (mainly rainfall and temperature) world-wide [16,[28][29][30][31][32][33][34][35][36][37][38]. Some of them in the Mediterranean region include the study in the Campania region located in Southern Italy.…”

Section: Introductionmentioning

confidence: 99%

Analyzing Trend and Variability of Rainfall in The Tafna Basin (Northwestern Algeria)

et al. 2020

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“…Wavelet analysis and the Hurst index analysis based on R/S are used to determine the change period and future trend [66]. Spearman's correlation analysis is used to explore the relationship between ET 0 and other factors [67].…”

Section: Other Methodsmentioning

confidence: 99%

Variation in Reference Evapotranspiration over the Tibetan Plateau during 1961–2017: Spatiotemporal Variations, Future Trends and Links to Other Climatic Factors

Liu

Wang

Yao

et al. 2020

Water

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Reference evapotranspiration (ET0) is a key factor in the hydrological cycle and energy cycle. In the context of rapid climate change, studying the dynamic changes in ET0 in the Tibetan Plateau (TP) is of great significance for water resource management in Asian countries. This study uses the Penman–Monteith formula to calculate the daily ET0 of the TP and subsequently uses the Mann–Kendall (MK) test, cumulative anomaly curve, and sliding t-test to identify abrupt change points. Morlet wavelet analysis and the Hurst index based on rescaled range analysis (R/S) are utilized to predict the future trends of ET0. The Spearman correlation coefficient is used to explore the relationship between ET0 changes and other climate factors. The results show that the ET0 on the TP exhibited an increasing trend from 1961 to 2017, with the most significant increase occurring in winter; an abrupt change to a tendency to decrease occurred in 1988, and another abrupt change to a tendency to increase occurred in 2005. Spatially, the ET0 of the TP shows an increasing trend from east to west. The change trend of the ET0 on the TP will not be sustainable into the future. In addition, the mean temperature has the greatest impact on the ET0 changes in the TP.

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“…This study showed a continuing declining regional trend in groundwater levels. [9] reported no significant trend in groundwater levels (with few exceptions) in Raipur city at 95% significance level by analyzing monthly groundwater level data using MK test and Sen's slope estimator.…”

Section: Introductionmentioning

confidence: 95%

Spatio-Temporal Trend Analysis of Groundwater Levels in Sharjah, UAE

Yilmaz¹,

Shanableh²,

Al‐Ruzouq³

et al. 2020

IJESD

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United Arab Emirates (UAE) is a water stressed country due to limited rainfall. Moreover, rapid population growth, increase in agricultural and industrial activities are causing additional stress to the water resources in UAE. Groundwater is the most important fresh water source in UAE, and sustainable and efficient management of groundwater is vital for the country. Trend analysis of groundwater levels is an essential component of groundwater management, since it provides significant information about the direction and characteristics of the groundwater level trend, allowable discharge limit and the cause of groundwater decline. In this study, monthly groundwater level trends from eleven well fields were investigated over the period of 15 years in Sharjah, UAE. Groundwater spatiotemporal data analysis tool (GWSDAT) was used for the spatial and temporal trend analysis for groundwater levels. Mann-Kendall non-parametric test was used for the temporal trend analysis. Statistically significant decreasing trends were identified almost in all well fields in Sharjah. In parallel to decreasing groundwater levels, the groundwater production has fallen substantially (more than 90% decrease in some well fields over 15 years). It was found that the well fields close to the coastline experienced significant decrease in groundwater levels, which induces sea water intrusion and salinization of groundwater.

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Multiple trend analysis of rainfall and temperature for a monsoon-dominated catchment in India

Cited by 20 publications

References 53 publications

Analyzing Trend and Variability of Rainfall in The Tafna Basin (Northwestern Algeria)

Analyzing Trend and Variability of Rainfall in The Tafna Basin (Northwestern Algeria)

Variation in Reference Evapotranspiration over the Tibetan Plateau during 1961–2017: Spatiotemporal Variations, Future Trends and Links to Other Climatic Factors

Spatio-Temporal Trend Analysis of Groundwater Levels in Sharjah, UAE

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