Trend analysis of rainfall time series for Sindh river basin in India

Gajbhiye, Sarita; Meshram, Chandrashekhar; Mirabbasi, Rasoul; Sharma, Shailesh

doi:10.1007/s00704-015-1529-4

Cited by 106 publications

(47 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…On the other side, Rustum et al, (2017) in Shire, Malawi, reported an increasing trend of annual precipitation. Gajbhiye et al, (2016) also reported similar findings in Shindh River basin in India. (FEWS NET, 2012) investigated 15-20 per cent decline of Spring and Summer rains in Ethiopia.…”

Section: Introductionsupporting

confidence: 73%

“…Besides, agricultural production, water supply, transportation and economic development can be affected by the variability of rainfall. Generally, analyzing rainfall data is critically important for agricultural planning; design of storage structures; study the trends in rainfall series; planning and management of the water resources; study the occurrences of droughts and floods; structural characteristics of annual rainfall and temporal variations of rainfall (Emaziye and Okoh, 2012;Gajbhiye et al, 2016;Ganguly et al, 2015;Getachew and Teshome, 2017;Amrutha and Shreedhar, 2014).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of Rainfall Variability for Mekelle Meteorological Station, Northern Ethiopia (1960-2009)

Weldesenbet¹

2019

CER

View full text Add to dashboard Cite

Nowadays rainfall variability is threatening the world. Despite this, studies related to the determination of variations, trends and fluctuations of rainfall have little local and regional specificity. Hence, this study aimed to analyze the trend and variability of the annual and seasonal rainfall occurrence at Mekelle Airport meteorological station, Northern Ethiopia. Historical rainfall data for the period 1960-2009 of the rain gauge station were obtained from National Meteorological Service Agency. Annual, seasonal and monthly rainfall trends; onset and cessation date of kiremt rainfall; growing period length and the number of rainy days and dry spell length were considered. Standardize anomaly index (SAI) and coefficient of variance was employed to analyze the rainfall data variability using INSTAT plus, SPSS version 20 and Excel. Analysis of the historical data showed extremely severe drought happened in the area in 1984 which resulted in the death of one million people, 8 million people highly affected, and 2.3 million people food in secured. 1961 was an extremely wet year. Generally, 70%, 18% and 12% years were normal, dry and wet respectively for the last 50 years. High annual, seasonal and monthly rainfall variability was observed. Though the station showed both increasing (1984-1988) and decreasing trends (1961-1968) of annual rainfall totals a declining trend was more pronounced. Besides, one to two weeks variability on the onset and cessation date was observed. The minimum and maximum kiremt season rainy days recorded in 1987 (27days) and 1986 (86 days) respectively while the maximum dry spell days recorded in the 50 years was in 1969. Thus, devising agronomic practices that retain moisture at the plant root zone and reduce crop failure due to variability of rainfall including extended dry spell could be important.

show abstract

Section: Introductionsupporting

confidence: 73%

Section: Introductionmentioning

confidence: 99%

Analysis of Rainfall Variability for Mekelle Meteorological Station, Northern Ethiopia (1960-2009)

Weldesenbet¹

2019

CER

View full text Add to dashboard Cite

show abstract

“…The null hypothesis of no trends will be accepted when − Z 1 − α /2 ≤ Z ≤ Z 1 − α /2 ; otherwise the alternative hypothesis (H 1 ), i.e. the existence of a trend, will be accepted (Gajbhiye et al ., ). A negative value of the test statistic denotes a decreasing trend in the time series and a positive value denotes an increasing trend in the time series (Choudhary et al ., ; Zamani et al ., ).…”

Section: Methodsmentioning

confidence: 97%

Spatiotemporal trend and abrupt change analysis of temperature in Iran

Ahmadi

Tahroudi

Mirabbasi

et al. 2017

Meteorological Applications

Self Cite

View full text Add to dashboard Cite

The long-term trends in temperature over Iran were examined over 34 synoptic stations during a 50 year period on seasonal and annual time scales. Two methods, a modified version of the Mann-Kendall test by eliminating the effect of all significant autocorrelation co-efficients and the regional Kendall test, were used in trend identification. The results revealed that the temperature had experienced significant positive trends in autumn, spring and especially summer over the study area. On an annual time scale and in the winter, the highest increasing trends were observed at stations located in the southern and southeastern parts of Iran. For regional analysis of trends, the stations were divided into five clusters based on the K-means clustering method and the silhouette index. Subsequently, the regional trend of temperature was analysed on seasonal and annual time scales using the regional Kendall test. The results of the regional Kendall test also indicated the rising trends in temperature during the last 50 years throughout the country on both seasonal and annual time scales. After verifying the presence of an increasing trend in the temperature time series, the non-parametric Pettitt test was used to detect the change points in the annual and seasonal time scales. The results showed that the change point of average temperature began from the summer of 1972 (Sabzevar station) and continued until the summer of 1998 (Zahedan station). The most frequent change point occurrence was between the years 1986 and 1994.

show abstract

“…It follows that the hypothesis that there is no trend is rejected when the Z value computed by the equation above is higher in absolute value than the critical value Zα, at a chosen level of significant α [16].…”

Section: )mentioning

confidence: 99%

Impact of Climate Change on Artificial Recharge System

Jafariroodsari

Nourani

Gökçekuş

2020

Preprint

View full text Add to dashboard Cite

Does climate change affect the quantity and quality of the wells near the artificial recharge site? Considering the research background, it seems that there has not been a comprehensive study on the impact of climate change and the trend of groundwater quality changes in jafakendeh aquifer. In this study, relation jafakendeh aquifer, climate change in north Iran, evaluated. Therefore, the purpose of this study is to examine trends, changes in groundwater level with some climatic variables of jafakendeh aquifer with the non-parametric Mann-Kendall method and Change-Point Detection with Pettitt’s process. The results of the model show that the climate change factor does not affect the groundwater level after the establishment of an artificial recharge system. The results of the research can be used for evaluation Cost-Benefit Analysis of artificial recharge sites after construction.

show abstract

Trend analysis of rainfall time series for Sindh river basin in India

Cited by 106 publications

References 40 publications

Analysis of Rainfall Variability for Mekelle Meteorological Station, Northern Ethiopia (1960-2009)

Analysis of Rainfall Variability for Mekelle Meteorological Station, Northern Ethiopia (1960-2009)

Spatiotemporal trend and abrupt change analysis of temperature in Iran

Impact of Climate Change on Artificial Recharge System

Contact Info

Product

Resources

About