Assessment of traditional rainwater harvesting system in barren lands of a semi-arid region: A case study of Rajasthan (India)

Yadav, Basant; Patidar, Nitesh; Sharma, Abhishek; Panigrahi, Niranjan; Sharma, Rakesh K.; Loganathan, V.; Krishan, Gopal; Singh, Jaswant; Kumar, Suraj; Parker, Alison

doi:10.1016/j.ejrh.2022.101149

Cited by 8 publications

(3 citation statements)

References 41 publications

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“…In this study area, barren lands cover a significant proportion of the area. They include both managed grazing grounds locally known as chaukas (small infiltration pits, [44,45]) and unmanaged grazing areas covered in shrubs. The barren lands are used as grazing grounds for cows and goats.…”

Section: Plos Watermentioning

confidence: 99%

Estimation of groundwater recharge in semiarid regions under variable land use and rainfall conditions: A case study of Rajasthan, India

Yadav

Parker²,

Sharma³

et al. 2023

PLOS Water

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In the semiarid regions of India, the annual rainfall is very low (~650 mm) and erratic; hence groundwater recharge is vital to support crops, especially in the winter season. For groundwater budgeting it is essential to consider how groundwater recharge is affected by both land-use and rainfall distribution. This study used a soil water balance approach, considering hydrological, meteorological, hydrogeological and crop information to understand the recharge process in semiarid regions. The approach was used at a sub-watershed scale where farmers grow rainfed and irrigated crops. Delayed recharge response on the water table was considered to estimate actual recharge, which closely matches the observed water levels in the field. The recharge estimated in rainfed agricultural lands, rainfed-irrigated agricultural lands, and barren lands was 29%, 17%, and 31% of the total inflow.

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Section: Plos Watermentioning

confidence: 99%

Estimation of groundwater recharge in semiarid regions under variable land use and rainfall conditions: A case study of Rajasthan, India

Yadav

Parker²,

Sharma³

et al. 2023

PLOS Water

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“…In India, both agricultural and domestic sectors are increasingly dependent on groundwater, leading to the depletion of this vital resource [26][27][28]. Rainwater harvesting stands out as a premier solution for enhancing both surface and groundwater resources [29][30][31]. In addition to the different traditional methods, geospatial technologies like RS and GIS have recently become important resources for acquiring spatio-temporal meteorological and crop status information [4,32].…”

Section: Introductionmentioning

confidence: 99%

Geospatial Technology for Sustainable Agricultural Water Management in India—A Systematic Review

Tarate,

Patel,

Danodia

et al. 2024

Geomatics

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Effective management of water resources is crucial for sustainable development in any region. When considering computer-aided analysis for resource management, geospatial technology, i.e., the use of remote sensing (RS) combined with Geographic Information Systems (GIS) proves to be highly valuable. Geospatial technology is more cost-effective and requires less labor compared to ground-based surveys, making it highly suitable for a wide range of agricultural applications. Effectively utilizing the timely, accurate, and objective data provided by RS technologies presents a crucial challenge in the field of water resource management. Satellite-based RS measurements offer consistent information on agricultural and hydrological conditions across extensive land areas. In this study, we carried out a detailed analysis focused on addressing agricultural water management issues in India through the application of RS and GIS technologies. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, we systematically reviewed published research articles, providing a comprehensive and detailed analysis. This study aims to explore the use of RS and GIS technologies in crucial agricultural water management practices with the goal of enhancing their effectiveness and efficiency. This study primarily examines the current use of geospatial technology in Indian agricultural water management and sustainability. We revealed that considerable research has primarily used multispectral Landsat series data. Cutting-edge technologies like Sentinel, Unmanned Aerial Vehicles (UAVs), and hyperspectral technology have not been fully investigated for the assessment and monitoring of water resources. Integrating RS and GIS allows for consistent agricultural monitoring, offering valuable recommendations for effective management.

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“…The Chauka system consists of bunds to trap rainfall runoff and cause it to infiltrate the soil instead of running off into the river [13]. Recently this technique has been evaluated through field studies, which revealed that the Chaukas allow approximately 5% additional rainfall to be available as recharge [14]. A recent study [15] linked Chaukas to nature-based solutions (NBS) and reported numerous benefits, such as recharging GW, avoiding GW contamination, irrigating downstream areas, for spiritual purposes and for nature.…”

Section: Introductionmentioning

confidence: 99%

Scaling Up Indigenous Rainwater Harvesting: A Preliminary Assessment in Rajasthan, India

Rawat

Panigrahi

Yadav

et al. 2023

Water

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Rainwater harvesting (RWH) has the potential to enhance the sustainability of ground and surface water to meet increasing water demands and constrained supplies, even under a changing climate. Since arid and semi-arid regions frequently experience highly variable spatiotemporal rainfall patterns, rural communities have developed indigenous RWH techniques to capture and store rainwater for multiple uses. However, selecting appropriate sites for RWH, especially across large regions, remains challenging since the data required to evaluate suitability using critical criteria are often lacking. This study aimed to identify the essential criteria and develop a methodology to select potential RWH sites in Rajasthan (India). We combined GIS modeling (multicriteria decision analysis) with applied remote sensing techniques as it has the potential to assess land suitability for RWH. As assessment criteria, spatial datasets relating to land use/cover, rainfall, slope, soil texture, NDVI, and drainage density were considered. Later, weights were assigned to each criterion based on their relative importance to the RWH system, evidence from published literature, local expert advice, and field visits. GIS analyses were used to create RWH suitability maps (high, moderate, and unsuited maps). The sensitivity analysis was also carried out for identified weights to check the inadequacy and inconsistency among preferences. It was estimated that 3.6%, 8.2%, and 27.3% of the study area were highly, moderately, and unsuitable, respectively, for Chauka implementation. Further, sensitivity analysis results show that LULC is highly sensitive and NDVI is the least sensitive parameter in the selected study region, which suggests that changing the weight of these parameters is more likely to decide the outcome. Overall, this study shows the applicability of the GIS-based MCDA approach for up-scaling the traditional RWH systems and its suitability in other regions with similar field conditions, where RWH offers the potential to increase water resource availability and reliability to support rural communities and livelihoods.

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Assessment of traditional rainwater harvesting system in barren lands of a semi-arid region: A case study of Rajasthan (India)

Cited by 8 publications

References 41 publications

Estimation of groundwater recharge in semiarid regions under variable land use and rainfall conditions: A case study of Rajasthan, India

Estimation of groundwater recharge in semiarid regions under variable land use and rainfall conditions: A case study of Rajasthan, India

Geospatial Technology for Sustainable Agricultural Water Management in India—A Systematic Review

Scaling Up Indigenous Rainwater Harvesting: A Preliminary Assessment in Rajasthan, India

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