Computation of the spatio-temporal extent of rainfall and long-term meteorological drought assessment using standardized precipitation index over Kolar and Chikkaballapura districts, Karnataka during 1951-2019

Harishnaika, N; Ahmed, S. A.; Kumar, Sanjay; Arpitha, M

doi:10.1016/j.rsase.2022.100768

Cited by 9 publications

(3 citation statements)

References 26 publications

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“…The Standardized Precipitation Index (SPI) serves as an indicator for actual precipitation, standardized by its departure from the probability distribution function of rainfall [7,8,9]. In recent years, SPI has gained prominence as a valuable drought indicator facilitating spatial and temporal comparisons.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Drought in the Ken River Basin in Bundelkhand Region, India

Dwivedi,

Mishra,

Pandey

et al. 2024

IJECC

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The present study exhibits the analyses of the meteorological drought events in the Ken Basin using various indices viz., Standardized Precipitation Index (SPI) for different time-scale and Rainfall Departure (RD) method. Precipitation data from 1990 to 2020 for six districts falling in the basin have been used to compute SPI and RD values. The computation of SPI series has been carried out for 1-month, 3-month, 6-month, 9-month and 12-month time-scales. The analysis indicated that the most parts of the basin experienced drought events in the years 2007, 2015 and 2017 region during the years. However, the basin was affected partially in the other drought years. The maximum severity of drought has been recorded as -65% and -52% in the year 1997 in Mahoba and Banda districts respectively. However, the up-reach parts of the basin were not affected in the year 1997. The comparative analysis of RD and SPI exhibited a good correlation with 3-month and 6-month SPI time steps. It is found that the SPI-3 identifies the meteorological drought event appropriately followed by SPI-6.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Drought in the Ken River Basin in Bundelkhand Region, India

Dwivedi,

Mishra,

Pandey

et al. 2024

IJECC

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show abstract

“…Some researchers reported that the occurrence of El Nino climate event droughts and dry events has also been regularly occurring over the several decades triggering different threats to the agriculture sector. Particularly the semi-arid area has been majorly affected by the recurrent droughts events [10]. The duration, cessation, severi-ty, frequency, and spatial extent of drought in the regions are high.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Drought Severity and Vegetation Condition Prediction Using Satellite Remote Sensing Indices in Kolar and Chikkaballapura Districts, Karnataka State

2023

EESRR

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Drought is a natural hazard with far-reaching effects including economic losses, and soil damages, and threatens the health of residents and livelihood. The present research aimed to observe the vegetation health index across the semi-arid regions of Karnataka state in 2015-2019 using GIS and remote sensing techniques. Landsat-8 dataset images, with a 30 m spatial resolution and from various platforms were used to recognize the Vegetation Condition Index and Temperature Condition Index. The VCI is dependent on the NDVI datasets. The Temperature Condition Index used LST. As an outcome, the VHI was generated and classified into 5 categories of drought: no drought, mild, moderate, severe, and extreme drought. The results indicate that the highest % of the extreme agricultural drought found in Chinthamani taluk is about 740.20 squares Km (20%) area. In the S-W monsoon showed Bagepalli is about 397.70 squares Km (18%), and Sidhlaghatta taluk is about 26 % (338.55 squares Km). In the North-east Monsoon extreme drought severity was affected in Malur at 22% (704.05 squares Km), Mulubhagilu at 26 % (909.99 squares Km), and Bangarapete at 21% (879.64 sq. km) of the area have severely affected the agriculture and vegetation from 2015-2019 respectively. Severe to moderate drought occurred in the north–east part of both areas of Kolar and Chikkaballapura districts. 2016 and 2017 experienced a less level of drought % with compared to the other study years. This study allows the monitoring of decision-makers, resolves drought conditions, and investigates more beneficially.

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“…It can also be examined over a range of reference periods [13]. Harishnaika et al [14] used the SPI in the southeastern region of Karnataka in India for precipitation analysis. It was shown that drought was frequent in particular years and seasons with negative values of the SPI along with dry, wet, and normal events.…”

Section: Introductionmentioning

confidence: 99%

Extreme Dry and Wet Events in the Pacific Region of Colombia estimated in the 21st Century Based on the Standardized Precipitation Index and CORDEX Climate Projections

et al. 2023

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The Pacific region of Colombia is known to be one of the most vulnerable to changes in precipitation patterns. A study was conducted using standardized precipitation index (SPI) analyses to understand the potential changes in precipitation in this region during the 21st century. The analyses were conducted using historical precipitation data from 1950 to 2005 and projected precipitation data from 2022 to 2100 under the Coordinated Regional Climate Downscaling Experiment (CORDEX) climate scenarios (RCP 4.5 and RCP 8.5). The results of the study showed that compared to historical data, SPI3 precipitation in this region is predicted to increase by 2040 under both climatic scenarios. However, in the 2041–2070 period, the region is expected to be wetter under RCP 8.5, although the difference between the two scenarios was not statistically significant. Similarly, SPI 6 precipitation is predicted to increase in the 2022–2040 and 2071–2100 periods under both scenarios. SPI 12 precipitation is also predicted to increase in the 2022–2040 period under RCP 4.5. In the 2041–2070 period, dryness is predicted to be more frequent under RCP 4.5, and wetness is predicted under RCP 8.5. The findings of this study can help in determining the most pertinent reference periods and computation time increments for evaluating the effects of future climate change on agricultural production and food security in the Pacific region of Colombia. It suggests that changes in precipitation patterns are likely to occur in the coming decades, which may significantly impact crop growth, water availability, and other aspects of agricultural production.

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Computation of the spatio-temporal extent of rainfall and long-term meteorological drought assessment using standardized precipitation index over Kolar and Chikkaballapura districts, Karnataka during 1951-2019

Cited by 9 publications

References 26 publications

Evaluation of Drought in the Ken River Basin in Bundelkhand Region, India

Evaluation of Drought in the Ken River Basin in Bundelkhand Region, India

Analysis of Drought Severity and Vegetation Condition Prediction Using Satellite Remote Sensing Indices in Kolar and Chikkaballapura Districts, Karnataka State

Extreme Dry and Wet Events in the Pacific Region of Colombia estimated in the 21st Century Based on the Standardized Precipitation Index and CORDEX Climate Projections

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