Drought hazard assessment using geoinformatics over parts of Chotanagpur plateau region, Jharkhand, India

Pandey, Swati; Pandey, Arvind Chandra; Nathawat, Mahendra Singh; Kumar, Manoj; Mahanti, N. C.

doi:10.1007/s11069-012-0093-9

Cited by 43 publications

(25 citation statements)

References 12 publications

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“…Many regions in Jharkhand are drought prone with unpredictable rainfall pattern, rendering kharif crops mostly susceptible to agricultural drought during the rainfall period. 13 Because of hard rock undulating terrain most of the rainfall water goes as runoff and therefore, rainwater move down slope and inadequately recharge the aquifers. It is necessary that the most water accessible as the run-off be utilized for maintaining crop development and recharge of groundwater.…”

Section: Introductionmentioning

confidence: 99%

Geospatial Technique for Runoff Estimation Based on SCS-CN Method in Upper South Koel River Basin of Jharkhand (India)

ey³

et al. 2017

IJH

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The present research uses SCS-CN technique for runoff computation using geoinformatics. The major part of the south Koel river basin located in Jharkhand state is drought prone with recurrent drought conditions during monsoon season. The watershed is characterized by high runoff discharge volume with 59 percent of total water of rainfall moved as runoff (i.e 2880 mm of runoff from 4855 mm of rainfall) during the monsoon season (June-October) and high runoff volume is observed mainly in the month of August (881.34 mm of runoff from 1388.4 mm of rainfall) for entire basin using monthly rainfall data of 5 years (2009-2013).The entire basin is divided into six sub-watersheds as I,II,III,IV,V and VI in which sub-watersheds II and IV exhibits high runoff (59%).The study recommend the sub-watersheds having high runoff value needs hydrological harvesting structure construction such as farm ponds, check dams and nala bunds etc in future for proper ground water management. The study demonstrated the use of geoinformatics for watershed management to combat drought.

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Section: Introductionmentioning

confidence: 99%

Geospatial Technique for Runoff Estimation Based on SCS-CN Method in Upper South Koel River Basin of Jharkhand (India)

ey³

et al. 2017

IJH

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“…As the basis of agricultural drought risk assessment, agricultural drought hazard assessment and analysis play a key role in generating national drought management strategies (Hayes et al , ). In recent years, drought hazard assessment has been performed in different places of the world by using drought hazard models, such as the United States, Bangladesh, China, India and Africa (Calow et al , ; Wilhelmi and Wilhite, ; Shahid and Behrawan, ; He et al , ; Pandey et al , ). However, most of these studies were limited to the regional or national scale, with much fewer studies at the global scale and especially on agriculture (Shahid and Behrawan, ; He et al , ; Pandey et al , ).…”

Section: Introductionmentioning

confidence: 99%

Agricultural drought hazard analysis during 1980-2008: a global perspective

Geng

Wang

et al. 2015

Int. J. Climatol.

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Various studies have been performed on drought hazard assessment at the national or regional scales, but few studies to date at the global scale, especially on global agriculture. In this paper, we utilized an agricultural drought hazard index (DHI), based on both drought severity and drought occurrence rate, derived from 3‐month scale Standardized Precipitation Index (SPI) and the phenology data of main crops (rice, maize, wheat, barley, sorghum and soybean) to assess the agricultural drought hazard grades of the world during 1980–2008. The results indicated that area percentages of high and very high agricultural drought hazard zones were approximately 23.57 and 27.19% of the total agricultural area in the world. Moreover, those zones mostly were distributed in central United States, southeastern South America, most of Europe, southwestern Russia, both southern Congo and Nigeria, east‐central and southwest China, Southeast Asia and eastern Australia, and most of those areas were also located in semi‐humid or humid climate zones. In addition, some regions above were also found to be the very high agricultural drought hazard zones for the main crops: East‐central and southwest China for wheat, maize, rice and soybean; Europe for wheat, maize and barley; Southeast Asia for rice; both central United States and southeastern South America for wheat, maize, soybean and sorghum.

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“…Therefore, the areas containing a richer soil depth have a better ability of water holding capacity and provide sufficient moisture for the crops to minimize the drought vulnerability (Dayal et al 2018). Likewise, the sand percent also has the capability of controlling the water holding capacity, although sand percent works inversely and has the opposite rule over drought vulnerability (Pandey et al 2012). Following that, the soil depth and sand percent data were used from TERN in 90 m spatial resolution, and the further procession of these criteria was followed by Dayal et al (2018) (Fig.…”

Section: Criteria For Vulnerability Mappingmentioning

confidence: 99%

“…The areas close to the river channels are less susceptible to agricultural droughts and can easily mitigate the drought condition as the river and reservoirs provide the necessary water for irrigation activities (Lakshmi 2016;Thomas et al 2016). Likewise, river density also has an undeniable impact on checking the drought condition, and the high river density regions have more potential to reduce drought impact than the regions with low river density (Pandey et al 2012). Furthermore, the availability of major roads plays a crucial role during drought conditions, particularly the provision of necessary aid, relief, and conducting the rescue operation to save the farmers and their agricultural lands.…”

Section: Criteria For Mitigation Capacity Mappingmentioning

confidence: 99%

Agricultural drought risk assessment of Northern New South Wales, Australia using geospatial techniques

Hoque

Pradhan

Ahmed

et al. 2021

Science of The Total Environment

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Droughts are recurring events in Australia and cause a severe effect on agricultural and water resources. However, the studies about agricultural drought risk mapping are very limited in Australia. Therefore, a comprehensive agricultural drought risk assessment approach that incorporates all the risk components with their influencing criteria is essential to generate detailed drought risk information for operational drought management. A comprehensive agricultural drought risk assessment approach was prepared in this work incorporating all components of risk (hazard, vulnerability, exposure, and mitigation capacity) with their relevant criteria using geospatial techniques. The prepared approach is then applied to identify the spatial pattern of agricultural drought risk for Northern New South Wales region of Australia. A total of 16 relevant criteria under each risk component were considered, and fuzzy logic aided geospatial techniques were used to prepare vulnerability, exposure, hazard, and mitigation capacity indices. These indices were then incorporated to quantify agricultural drought risk comprehensively in the study area. The outputs depicted that about 19.2% and 41.7% areas are under very-high and moderate to high risk to agricultural droughts, respectively. The efficiency of the results is successfully evaluated using a drought inventory map. The generated spatial drought risk information produced by this study can assist relevant authorities in formulating proactive agricultural drought mitigation strategies. Response to Reviewers:The detailed response note has been uploaded as a separate word file. Powered by Editorial Manager® and ProduXion Manager® from Aries Systems CorporationHighlights  Evaluated agricultural drought risk for Northern New South Wales, Australia. The model considered all risk components and 16 relevant criteria. Geospatial techniques were used to prepare the drought risk model. Risk model identified the spatial extents and levels of agricultural drought risk.Highlights (for review : 3 to 5 bullet points (maximum 85 characters including spaces per bullet point) Agricultural drought risk assessment of Northern New SouthWales, Australia using geospatial techniques

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Drought hazard assessment using geoinformatics over parts of Chotanagpur plateau region, Jharkhand, India

Cited by 43 publications

References 12 publications

Geospatial Technique for Runoff Estimation Based on SCS-CN Method in Upper South Koel River Basin of Jharkhand (India)

Geospatial Technique for Runoff Estimation Based on SCS-CN Method in Upper South Koel River Basin of Jharkhand (India)

Agricultural drought hazard analysis during 1980-2008: a global perspective

Agricultural drought risk assessment of Northern New South Wales, Australia using geospatial techniques

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