Assessment of Spatial and Temporal Trends of Long Term Precipitation over Kharun Watershed, Chhattisgarh, India

Chandrakar, Ayush; Khare, Deepak; Krishan, Radha

doi:10.1007/s40710-017-0273-4

Cited by 12 publications

(4 citation statements)

References 20 publications

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“…Several researchers have assessed the impacts of climate change on different regions around the globe [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. In addition, various studies have assessed rainfall trends for different regions around the world (e.g., [18][19][20][21][22][23][24][25][26][27][28][29][30][31]).…”

Section: Introductionmentioning

confidence: 99%

Drought Assessment in Greece Using SPI and ERA5 Climate Reanalysis Data

Kourtis,

Vangelis,

Tigkas

et al. 2023

Sustainability

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The present work aims to assess the spatial variability and the trends of the annual rainfall and meteorological drought in the entire territory of Greece utilising the ERA5 reanalysis precipitation dataset of the European Centre for Medium-Range Weather Forecasts (ECMWF), which spans from January 1940 to December 2022 (an 83-year period). Drought assessment took place based on the Standardized Precipitation Index (SPI) for timescales ranging from 1 month to 12 months. Evaluation was carried out by calculating SPI using observed rainfall data from five meteorological stations. The annual rainfall and drought severity trends for timescales of 1 (SPI-1), 3 (SPI-3), 6 (SPI-6) and 12 (SPI-12) months were analysed using the Theil–Sen slope method and the Mann–Kendall trend test. The results indicate significant, both increasing and decreasing, annual precipitation trends at the 95% significance level for the Aegean Islands, western Crete and western mainland of Greece. The results also indicate significant drought trends for SPI-12 for the Aegean Islands and western Peloponnese. Trend analysis for SPI-1, SPI-3 and SPI-6 indicate a mixture of non-significantly increasing wetting trends and increasing drought trends at the national scale. In conclusion, the ERA5 dataset seems to be a valuable tool for drought monitoring at the spatial scale.

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Section: Introductionmentioning

confidence: 99%

Drought Assessment in Greece Using SPI and ERA5 Climate Reanalysis Data

Kourtis,

Vangelis,

Tigkas

et al. 2023

Sustainability

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“…Furthermore, in the Sindh River Basin, Gajbhiye, Meshram, Singh, Srivastava and Islam [7] found a significant increasing trend in both seasonal and annual rainfall. Similarly, Chandrakar, et al [18] analyzed the long-term trend precipitation and reported a significant decreasing trend on Kharun watershed, Chhattisgarh, India. Very few studies have been made on precipitation extremes over Kosi River Basin (KRB) and flood assessment [19].…”

Section: Introductionmentioning

confidence: 98%

Long-Term Trend Analysis of Precipitation and Extreme Events over Kosi River Basin in India

Srivastava

Pradhan

Petropoulos

et al. 2021

Water

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Analysis of spatial and temporal changes of long-term precipitation and extreme precipitation distribution at a local scale is very important for the prevention and mitigation of water-related disasters. In the present study, we have analyzed the long-term trend of 116 years (1901–2016) of precipitation and distribution of extreme precipitation index over the Kosi River Basin (KRB), which is one of the frequent flooding rivers of India, using the 0.25° × 0.25° resolution gridded precipitation datasets obtained from the Indian Meteorological Department (IMD), India. The non-parametric Mann–Kendall trend test together with Sen’s slope estimator was employed to determine the trend and the magnitude of the trend of the precipitation time series. The annual and monsoon seasons revealed decreasing trends with Sen’s slope values of −1.88 and −0.408, respectively. For the extreme indices viz. R10 and R20 days, a decreasing trend from the northeastern to the southwest part of the basin can be observed, whereas, in the case of highest one-day precipitation (RX1 day), no clear trend was found. The information provided through this study can be useful for policymakers and may play an important role in flood management, runoff, and understanding related to the hydrological process of the basin. This will contribute to a better understanding of the potential risk of changing rainfall patterns, especially the extreme rainfall events due to climatic variations.

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“…Some global studies on trend analysis of hydro-metrological variables include countries such as Ethiopia [51]; Turkey [52]; Ghana [53]; Netherlands [54]; Iran [55,56]; Mediterranean regions [57,58]; Tanzania coast [59]; China [60][61][62][63][64]; Egypt [65]; United States [66]. The spatial variation of trends could be identified under ArcGIS environment through the inverse distance weighting (IDW) [34,67,68] and Kriging method [40]. Some studies used Thiessen polygon method to identify the area of influence of point rain gauges [15,31].…”

Section: Introductionmentioning

confidence: 99%

Analyzing Rainfall Trends Using Statistical Methods across Vaippar Basin, Tamil Nadu, India: A Comprehensive Study

Muthiah,

Sivarajan,

Madasamy

et al. 2024

Sustainability

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The Vaippar basin in southern India is economically important for rainfed and irrigated agriculture, mainly depending on the northeast monsoon (NEM) during October–December, and any changes in rainfall patterns directly affect crop ecosystems. This study aimed to analyze spatio-temporal rainfall changes using the monthly data from 13 scattered rain gauge stations in the Vaippar basin, India. They were converted into gridded rainfall data by creating 26 equally spaced grids with a spacing of 0.125° × 0.125° for the period between 1971 and 2019 through interpolation technique. Three methods, namely Simple Linear Regression (SLR), Mann–Kendell/modified Mann–Kendell (MK/MMK), and Sen’s Innovation trend analysis (ITA), were employed to detect trends and magnitudes for annual and seasonal gridded rainfall series. The results showed significant trends at 2.3%, 7.7%, and 44.6% of grid points using SLR, MK/MMK, and ITA methods, respectively. Notably, ITA analysis revealed significant trends in annual and NEM rainfall at 57.69% and 76.92% of the grid points, respectively, at a 5% significance level. The southwestern and central parts of the basin exhibited a higher number of significant upward trends in annual rainfall. Similarly for the NEM season, the south-eastern, central, and extreme southern parts experienced significant upward trend. The western part of the basin exhibited significantly upward trend with a slope value of 2.03 mm/year, while the central part showed non-significant downward trend with a slope value of −1.89 mm/year for the NEM series. This study used the advantage of ITA method, allowing for exploration of monotonic/non-monotonic trends, as well as subtrends of low, medium, and high rainfall segments within the series. The key findings of this study serve as a scientific report from a policy perspective, aiding in the preparation and management of extreme climate effects on land and water resources in the Vaipaar basin.

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Assessment of Spatial and Temporal Trends of Long Term Precipitation over Kharun Watershed, Chhattisgarh, India

Cited by 12 publications

References 20 publications

Drought Assessment in Greece Using SPI and ERA5 Climate Reanalysis Data

Drought Assessment in Greece Using SPI and ERA5 Climate Reanalysis Data

Long-Term Trend Analysis of Precipitation and Extreme Events over Kosi River Basin in India

Analyzing Rainfall Trends Using Statistical Methods across Vaippar Basin, Tamil Nadu, India: A Comprehensive Study

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