Long term spatial and temporal rainfall trends and homogeneity analysis in Wainganga basin, Central India

Taxak, A. K.; Murumkar, Asmita; Arya, D. S.

doi:10.1016/j.wace.2014.04.005

Cited by 179 publications

(95 citation statements)

References 41 publications

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“…Lacombe and McCartney 25 found changes in rainfall pattern aligning with the geography of anthropogenic atmospheric disturbances and confirmed the paramount role of global warming in recent changes for daily gridded rainfall data . On analysing gridded rainfall data of 0.5  0.5 resolution for 1901-2012, Taxak et al 26 reported an increasing trend in Wainganga river basin in Central India during 1901-1948, which was reversed during 1949-2012 resulting in decreasing rainfall trend.…”

Section: Studies Of Extreme Rainfall Trends In Indiamentioning

confidence: 99%

Trends in Rainfall and Peak Flows for some River Basins in India

Jain¹,

Nayak²,

Singh³

et al. 2017

Current Science

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The aim of the present study is to examine the trends in magnitude and intensity of precipitation and peak floods of different magnitudes for seven major river basins in India. Data pertaining to daily flows for about 30-odd years and precipitation for 61 years (from 1951 to 2012) were analysed. Linear trends were calculated for the number of rainy days, rainfall intensity and occurrence of flood peaks for all basins. Using the Sen's slope estimator, it was found that annual peak rainfall increases for most of the basins in India. From the Mann-Kendall test and Sen's slope, it was found that the Cauvery and Brahamani and Baitarani basins show a rising trend in the number of rainy days, but the trend was falling for five other basins. When the basins were classified as mountains and plains, it was found that the number of daily rainfall events of different magnitudes was more in the mountains compared to the plains. The rivers which flow from west to east direction have more rainy days compared to those which flow towards the west. It was observed that in general the number of rainy days was falling while the number of intense events was increasing. The number of flood peaks of smaller magnitude in different decades showed slight falling trend. It was also found that there was falling or no trend for severe floods. Anthropogenic activities (construction of storage reservoirs, diversions, urbanization, land-use change, and soil and water conservation measures, etc.) have probably affected the generation of peak floods in the rivers of India. River regulation through storage reservoirs in the past 50 years has resulted in the reduction of peak flows. Hence with the same rainfall, the flood peaks would have increased under virgin conditions. Keywords: Flood peaks, rainfall trends, river basins.PRECIPITATION is a key component of the earth's hydrologic cycle, but it is also one of the most difficult hydrometeorological variables to measure and model accurately. Precipitation at a place is determined by large-scale as well as local processes, and therefore exhibits pronounced variability in a range of spatial and temporal scales. Among the climate variables, precipitation is the most important process for the water sector. It is a variable that drives the key natural resource process in a river basin. Therefore, it is most widely analysed in climate change impact studies.Run-off from a river basin is the integrated outcome of climatic inputs and basin topography, land use/cover, and water management infrastructure. Therefore, a change in the precipitation and other relevant climatic variables, land use/land cover, and water utilization leads to a change in water yield from a catchment and its temporal distribution. It was found that river flow has strong natural variability and exhibits long-term persistence 1,2 . This behaviour can confound the results of trend and significance tests.Global warming is unequivocal and is expected to be reflected in an increase in the magnitude and frequency of extreme precipitation ev...

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Section: Studies Of Extreme Rainfall Trends In Indiamentioning

confidence: 99%

Trends in Rainfall and Peak Flows for some River Basins in India

Jain¹,

Nayak²,

Singh³

et al. 2017

Current Science

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“…It is a nonparametric test that requires no assumption about the distribution of data. This test has been widely used to detect change points in the observed meteorological and hydrological time series [TAXAK et al 2014].…”

Section: Change Point Testmentioning

confidence: 99%

Drought monitoring in the Seybouse basin (Algeria) over the last decades

Khezazna¹,

Amarchi²,

Derdous³

et al. 2017

Journal of Water and Land Development

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Algeria is amongst the African countries most affected by climate change impacts especially by drought which caused considerable economic losses in the past decades. In this paper, drought monitoring for the period between 1970 and 2011 was conducted in the Seybouse watershed by analysing annual rainfall data in terms of variability and trends along with the calculation of the standardized precipitation index (SPI). The results indicated important inter-annual rainfall fluctuation and a significant increasing trend. The estimated drought indices indicated that the Seybouse watershed experienced in the past a long dry period with a moderate severity followed by a long wet period at the majority of the study area. Moreover, the interpolation of the standardized precipitation indices (SPI) on the entire Seybouse basin in GIS allowed visualizing and evaluating the spatial--temporal evolution of drought in the region which should help the decision-makers in the management of water resources, agriculture and other activities that may be affected by drought.

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“…According to Equation (1), the minimum value of PCI1 is 8.3, which occurs when the same amount of precipitation falls in each month. Oliver [7] suggested that monthly rainfall heterogeneity could be divided into four categories according to the PCI1 values: uniform precipitation distribution (PCI1 < 10), moderate precipitation distribution (PCI1: 10-15), irregular precipitation distribution (PCI1: [15][16][17][18][19][20] and highly irregular precipitation distribution (PCI1 > 20). PCI2 has been used to study daily rainfall heterogeneity [8], based on the fact that the precipitation frequency can generally be described by a negative exponential distribution (Equation (2)).…”

Section: Precipitation Concentration Indices (Pci)mentioning

confidence: 99%

“…This method has the advantages of not requiring a given data distribution and not being affected by outlying data, and has been used entensively to test trends in hydrometeorological data, including temperature, rainfall and runoff time series [13][14][15][16]. In this study, the M-K method was used to test the trend stability of extreme precipitation time series.…”

Section: Stability Testmentioning

confidence: 99%

Spatiotemporal Analysis of Extreme Hourly Precipitation Patterns in Hainan Island, South China

Chen

Longbing

et al. 2015

Water

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Abstract:To analyze extreme precipitation patterns in Hainan Island, hourly precipitation datasets from 18 stations, for the period from 1967 to 2012, were investigated. Two precipitation concentration indices (PCI) and 11 extreme precipitation indices (EPI) were chosen. PCI1 indicated a moderate seasonality in yearly precipitation and PCI2 showed that at least 80% of the total precipitation fell in 20% of the rainiest hours. Furthermore, the spatial variations of PCI1 and PCI2 differed. Linear regression indicated increasing trends in 11 of the calculated EPI. Principal component analysis found that the first recalculated principal component represented the 11 EPI. The recalculated principal component revealed an increasing trend in precipitation extremes for the whole island (except the interior section). Trend stability analysis of several of EPI suggested that the southern parts of Hainan Island, and especially the city of Sanya, should receive more attention to establish the drainage facilities necessary to prevent waterlogging.

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Long term spatial and temporal rainfall trends and homogeneity analysis in Wainganga basin, Central India

Cited by 179 publications

References 41 publications

Trends in Rainfall and Peak Flows for some River Basins in India

Trends in Rainfall and Peak Flows for some River Basins in India

Drought monitoring in the Seybouse basin (Algeria) over the last decades

Spatiotemporal Analysis of Extreme Hourly Precipitation Patterns in Hainan Island, South China

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