Your search found 6 records
1 Singh, P. K.; Mishra, A. K.; Imtiyaz, M. 1991. Moisture stress and water use efficiency of mustard. Agricultural Water Management, 20(3):245-253.
(Location: IWMI-HQ Call no: PER Record No: H09273)
2 Singh, P. K.; Singh, O. P.; Jaiswal, C. S.; Chauhan, H. S. 1999. Subsurface drainage of a three layered soil with slowly permeable top layer. Agricultural Water Management, 42(1):97-109.
Subsurface drainage ; Soil texture ; Soil properties ; Subsurface drainage ; Simulation models ; Surface runoff ; Water table / India / Gujarat / Mahi Right Bank Canal Command
(Location: IWMI-HQ Call no: PER Record No: H024947)
3 Jadeja, J.; Maheshwari, B.; Packham, R.; Bohra, H.; Purohit, R.; Thaker, B.; Dillon, P.; Oza, S.; Dave, S.; Soni, P.; Dashora, Y.; Dashora, R.; Shah, Tushaar [IWMI]; Gorsiya, J.; Katara, P.; Ward, J.; Kookana, R.; Singh, P. K.; Chinnasamy, Pennan; Goradiya, V.; Prathapar, Sanmugam; Varua, M.; Chew, M. 2018. Managing aquifer recharge and sustaining groundwater use: developing a capacity building program for creating local groundwater champions. Sustainable Water Resources Management, 4(2):317-329. [doi: https://doi.org/10.1007/s40899-018-0228-6]
Groundwater management ; Groundwater extraction ; Groundwater recharge ; Groundwater development ; Water use ; Water quality ; Water availability ; Water resources ; Water management ; Water levels ; Aquifers ; Monitoring ; Capacity building ; Sustainability ; Training ; Villages ; Rural communities ; Stakeholders ; Farmers ; Participatory approaches ; Cooperatives / India
(Location: IWMI HQ Call no: e-copy only Record No: H048906)
Participatory groundwater management is increasingly being recognised for its ability to address the challenges of equity, efficiency and sustainability. It can particularly help with effective engagement at the grassroots level for monitoring, recharging and managing the groundwater as a common pool resource. The main aim of this article is to discuss the training and management process used and the lessons learnt from a participatory groundwater management project, titled Managing Aquifer Recharge and Sustainable Groundwater Use through Village-level Intervention (MARVI). In this project, researchers, rural development facilitators and local villagers worked together to initiate participatory groundwater monitoring in 11 villages from the Dharta and Meghraj watersheds in Rajasthan and Gujarat, India. The study involved educating villagers through an intensive program of capacity building, wherein the villagers who participated in the program were called Bhujal Jaankars (BJs), a Hindi word meaning ‘groundwater informed’. The BJs were trained in their local settings through relevant theory and practical exercises, so that they could perform a geo-hydrological evaluation of their area, monitor groundwater and share their findings and experiences with their village community. The study has highlighted that with a well-designed program of capacity building and on-going support through training and nurturing, BJs can play an important role in monitoring watertable depth and other data for estimating groundwater recharge, leading to a sharing of the groundwater information with the local village community to influence the sustainable use of groundwater. Overall they can act as local champions for groundwater futures. Further, this study has demonstrated that BJ capacity building can help to provide a scientific basis for village level groundwater dialogue and assist village communities and other stakeholders to improve their decision making regarding groundwater use, crop selection, agronomy, recharge strategies and other aspects of sustainable groundwater management. Although the BJ program has been successful and BJs can act as a valuable interface between local communities and other stakeholders managed aquifer recharge activities, there still exists some challenges to the BJ programme, such as the need for mechanisms and funding sources that will sustain the BJs over the longer term; wider acceptance of BJs among scientific communities and policy makers; and the acceptance of the role and involvements of BJs in natural resources management programs of the State and Central governments in India.
4 Singh, P. K.; Chudasama, H. 2021. Pathways for climate change adaptations in arid and semi-arid regions. Journal of Cleaner Production, 284:124744. [doi: https://doi.org/10.1016/j.jclepro.2020.124744]
Climate change adaptation ; Arid zones ; Semiarid zones ; Extreme weather events ; Vulnerability ; Resilience ; Temperature ; Agricultural productivity ; Diversification ; Institutions ; Governance ; Rural communities ; Livelihoods ; Models / India
(Location: IWMI HQ Call no: e-copy only Record No: H050186)
(2.55 MB)
Climate variability and change coupled with small landholdings, low land productivity and water scarcity in arid and semi-arid regions contribute to environmental degradation, reduced agricultural productivity, and increased vulnerability to the rural communities. With the aid of the fuzzy cognitive maps constructed by 427 community groups with 4–5 members in each group, drawn from 96 villages in 12 districts of arid and semi-arid India, the paper evaluates the effectiveness of various adaptation pathways. The ongoing adaptations in arid and semi-arid India face adaptation deficits. The FCM-based simulations revealed that integrated adaptation measures that embrace nature-based solutions, including integrated water resource management, natural farming-assisted soil rejuvenation, and improved agricultural productivity are most likely to enhance the resilience of small and marginalised farming communities to climate variability and change. Facilitation of such adaptation measures requires inclusive and adaptive local institutions, sufficient financial assistance, and climate information services. Besides, gender-nuanced, inclusive, and adaptive governance and processes would be helpful for the implementation of appropriate adaptation interventions in arid and semi-arid drylands worldwide. Hence policy-makers must enable polycentric and adaptive governance, and inclusive institutions and processes. The emphasis on multiple factors in a socio-ecological system often makes it difficult to understand the critical role of a particular factor. However, the FCM-based simulations in this study helped us overcome such limitations.
5 Patle, P.; Singh, P. K.; Ahmad, I.; Matsuno, Y.; Leh, Mansoor; Ghosh, Surajit. 2023. Spatio-temporal estimation of green and blue water consumptions and water and land productivity using satellite remote sensing datasets and WA+ framework: a case study of the Mahi Basin, India. Agricultural Water Management, 277:108097. [doi: https://doi.org/10.1016/j.agwat.2022.108097]
Water use ; Land productivity ; Water productivity ; Satellite observation ; Remote sensing ; Datasets ; Frameworks ; Estimation ; Evapotranspiration ; Semiarid zones ; Case studies / India / Madhya Pradesh / Gujarat / Rajasthan / Mahi Basin
(Location: IWMI HQ Call no: e-copy only Record No: H051577)
https://www.sciencedirect.com/science/article/pii/S0378377422006448/pdfft?md5=50b09813950cc58134ad605f62d666a9&pid=1-s2.0-S0378377422006448-main.pdf
https://vlibrary.iwmi.org/pdf/H051577.pdf
https://vlibrary.iwmi.org/pdf/H051577.pdf
(15.50 MB) (15.5 MB)
The agricultural activities contribute to the largest share of water consumption in the arid and semi-arid basins. In this study, we demonstrate the application of Water Accounting Plus (WA+) for estimation of the green water consumption (ETGreen) and blue water consumption (ETBlue) for assessing the water productivity (WP) and land productivity (LP) to identify the bright-spots and hot-spots at the district administrative unit level for effectively managing the scarce water resources and sustaining food security in a highly non-resilient semi-arid basin of India. The WA+ framework uses satellite remote sensing datasets from different sources for this purpose and we used the data from 2003 to 2020. The long-term average of ETGreen and ETBlue in the Mahi basin is found to be 15.8 km3 /year and 12.32 km3 /year, respectively. The blue water index (BWI) and green water index (GWI) in the basin vary from 0.282 to 0.598 and 0.40–0.72. We found that the BWI is highest for the districts of Gujarat, whereas, the GWI is highest for the districts of Madhya Pradesh. The long-term average of the LP and WP for both the irrigated and rainfed cereals in the basin is found as 2287.71 kg/ha & 1713.62 kg/ha and 0.721 kg/ m3 & 0.483 kg/m3 , respectively from 2003 to 2020. The WP (rainfed) of all the districts of the Gujarat is comparatively lower (varying from 0.34 kg/m3 to 0.5 kg/m3 ) than the districts of the Madhya Pradesh (varying from 0.59 kg/m3 to 0.70 kg/m3 ) and the Rajasthan (varying from 0.48 kg/m3 to 0.73 kg/m3 ). Based on the results, we found that the Ratlam district of the Madhya Pradesh has both highest LP and WP (irrigated) as 2573.96 kg/ha and 2.14 kg/m3 , respectively among all the districts of the Mahi basin, and hence it is classified as the ‘Bright spot-district’. The Anand district is found to have the lowest WP and LP as 0.44 kg/m3 and 2467.51 kg/ha, respectively and hence it is classified as the ‘hot spot-district’. For rainfed cereals, we found that the Neemuch district of Madhya Pradesh has the highest WP and LP as 0.59 kg/m3 and 1948.13 kg /ha, respectively, and the Anand district with the lowest WP as 0.34 kg/m3 and LP of 1572.21 kg/ha, respectively. Therefore, we classified the Neemach district as the ‘Bright spot-district’ and the Anand district as the hot spot- district for rainfed cereals. These findings will help develop sustainable and actionable agricultural water management plans by the policymakers and stakeholders in the basin.
6 Mehla, M. K.; Kothari, M.; Singh, P. K.; Bhakar, S. R.; Yadav, K. K. 2022. Assessment of water footprint for a few major crops in Banas River Basin of Rajasthan. Journal of Applied and Natural Science, 14(4):1264-1271. [doi: https://doi.org/10.31018/jans.v14i4.3896]
Water footprint ; Crop production ; Barley ; Wheat ; Rice ; Millets ; Cotton ; Soybeans ; Pearl millet ; Chickpeas ; Water use ; Water scarcity ; Water productivity ; Crop modelling / India / Rajasthan / Banas River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H051598)
https://journals.ansfoundation.org/index.php/jans/article/view/3896/2357
https://vlibrary.iwmi.org/pdf/H051598.pdf
https://vlibrary.iwmi.org/pdf/H051598.pdf
(0.81 MB) (828 KB)
Water security is essential for socio-economic development, ecosystem management, and environmental sustainability. An improved understanding of the relationships between water demand and supply is needed to mitigate the impacts of diminishing water resources. The present study aimed to assess the crop water footprint of sixteen major crops in the basin namely, bajra/ pearl millet (Pennisetum glaucum L.), barley (Hordeum vulgare L.), cotton (Gossypium herbaceum L.), gram/chickpea (Cicer arietinum L.), groundnut (Arachis hypogaea L.), guar/cluster beans (Cyamopsis tetragonoloba L.), jowar/ sorghum (Sorghum bicolor L.), lentil/ masoor (Lens culinaris L.), maize (Zea mays L.), mungbean (Vigna radiata L.), rapeseed & mustard (Brassica napus L.), rice/paddy (Oryza sativa L.), sesame (Sesamum indicum L.), soybean (Glycine max L.), urad/ black gram (Vigna mungo L.) and wheat (Triticum aestivum L.) was estimated during 2008-2020 in the Banas river basin of Rajasthan. The average annual water footprint of crop production varied from 11365.8-23131.5 MCM/yr (Mean 19254.5 MCM/yr) during the study period. Wheat, bajra, maize, rapeseed & mustard make up 67.4 % of the total average annual water footprint of crop production. The blue water footprint of crop production was 3942.1 MCM/yr, with wheat, rapeseed & mustard accounting for almost 87.0 % of the average annual blue water footprint. Blue, green and grey water footprints comprised 20.8, 69.7 and 9.5 % of the total WF of crop production in the basin, respectively. This assessment can play a significant role in developing better policies for properly managing water footprints for sustainable crop production in the basin.
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