Your search found 24 records
1 Sharma, A.; Singh, A. K.; Babel, M. S. 1991. Salt distribution profile under drip irrigation with saline water. Journal of Indian Water Resources Society, 11(3):51-53.
Drip irrigation ; Soil salinity ; Salinity control
(Location: IWMI-HQ Call no: P 3118 Record No: H09924)

2 Rajappa, R.; Pal, K.; Sharma, A.; Sharma, A. K. 1994. Environmental impact assessment for Subarnarekha Irrigation Project. International Journal of Water Resources Development, 10(2):203-219.
Environmental effects ; Reservoirs ; Irrigation management ; Irrigation programs ; Development projects ; River basins ; Water resources development / India / Orissa
(Location: IWMI-HQ Call no: PER Record No: H014798)

3 Sharma, A.. 2002. Does water harvesting help in water-scarce regions?: a case study of two villages in Alwar, Rajasthan. IWMI-TATA Water Policy Research Program Annual Partners' Meet, 2002. Vallabh Vidyanagar, Gujarat, India: IWMI-TATA Water Policy Research Program. 24p.
Water scarcity ; Water harvesting ; Water storage ; Villages ; Rain ; Irrigated farming ; Pumping ; Livestock ; Case studies / India / Rajasthan / Alwar
(Location: IWMI HQ Call no: IWMI 631.7 G635 SHA Record No: H029649)
http://www.iwmi.cgiar.org/iwmi-tata_html/PartnersMeet/pdf/001-Abhi.pdf
https://vlibrary.iwmi.org/pdf/H_29649.pdf
(414 KB)

4 Kishore, A.; Sharma, A.; Scott, C. A. 2003. Power supply to agriculture: reassessing the options. IWMI-Tata Water Policy Research Highlight, 7/2003. 7p.
Groundwater irrigation ; Energy ; Electricity supplies ; Cost recovery / India
(Location: IWMI HQ Call no: IWMI 631.7.4 G635 KIS Record No: H031801)
http://www.iwmi.cgiar.org/iwmi-tata_html/PM2003/PDF/07_Highlight.pdf
(1,0008.53 KB)
Research highlight based on a paper titled ôIssues in energy-irrigation nexux: An overviewö

5 Sharma, A.. 2003. Rethinking tanks: opportunities for revitalizing irrigation tanks: empirical findings from Ananthapur District, Andhra Pradesh, India. Colombo, Sri Lanka: International Water Management Institute (IWMI) 16p. (IWMI Working Paper 062) [doi: https://doi.org/10.3910/2009.191]
Tank irrigation ; Rehabilitation / India / Andhra Pradesh
(Location: IWMI-HQ Call no: IWMI 631.7.7 G635 SHA Record No: H032801)
http://www.iwmi.cgiar.org/Publications/Working_Papers/working/WOR62.pdf
(551 KB)

6 Jha, R.; Sharma, A.. 2003. Spatial distribution of rural poverty: Last three quinquennial rounds of NSS. Economic and Political Weekly, 38(47):4985-4993.
Poverty ; Measurement / India
(Location: IWMI-HQ Call no: P 6638 Record No: H033557)

7 Rai, H. K.; Sharma, A.; Sindhu, J.; Das, D. K.; Kalra, N. 2003. Pedo-transfer functions for assessing soil moisture and nitrogen availability in the Indian soils. SAARC Journal of Agriculture, 1(1):127-140.
Soil moisture ; Nitrogen ; Soil properties ; Soil texture / India
(Location: IWMI-HQ Call no: P 6795 Record No: H034361)

8 Sharma, A.. 2003. Virtual waterless manufacturing: Zero intake, zero emission. Water Science and Technology, 47(6):83-90.
Water balance ; Water resources ; Industrialization ; Production functions ; Effluents ; Pollution control
(Location: IWMI-HQ Call no: 333.91 G000 STO Record No: H034422)

9 Machiwal, D.; Jha, M. K.; Sharma, A.; Dashora, P. K.; Bhakar, S. R. 2004. Optimal water allocation for adequate and deficit water supply in Jakham Command of Rajasthan, India. Journal of Applied Irrigation Science, 39(2):293-314.
Irrigation canals ; Models ; Water allocation ; Irrigation scheduling ; Water deficit ; Water requirements ; Water supply ; Reservoirs ; Irrigation management ; Planning ; Cropping systems ; Drought / India / Rajasthan / Jakham Command
(Location: IWMI-HQ Call no: PER Record No: H035749)

10 Agarwal, A.; Narain, S.; Sharma, A.. (Eds.) 1999. Green politics. New Delhi, India: Centre for Science and Environment. vi, 409p. (Global environmental negotiations 1)
Environmental effects ; Governance ; Climate change ; Biodiversity ; Forests
(Location: IWMI-HQ Call no: 363.7 G000 AGA Record No: H038793)

11 Machiwal, D.; Jha, M. K.; Sharma, A.; Dashora, P. K. 2004. Prediction of uncertain reservoir inflows: A case study. In Herath, S.; Pathirana, A.; Weerakoon, S. B. (Eds.). Proceedings of the International Conference on Sustainable Water Resources Management in the Changing Environment of the Monsoon Region. Bandaranaika Memorial International Conference Hall, Colombo, Sri Lanka, 17-19 November 2004. Vol.II. Colombo, Sri Lanka: National Water Resources Secretariat. pp.534-541.
Reservoir operation ; Dams ; Flow ; Forecasting / India / Rajasthan / Jakham River
(Location: IWMI-HQ Call no: 333.91 G000 HER Record No: H039541)

12 Shah, Tushaar; Scott, C.; Kishore, A.; Sharma, A.. 2007. Energy-irrigation nexus in South Asia: improving groundwater conservation and power sector viability. In Giordano, Mark; Villholth, Karen G. (Eds.). The agricultural groundwater revolution: opportunities and threats to development. Wallingford, UK: CABI. pp.211-242. (Comprehensive Assessment of Water Management in Agriculture Series 3)
Tube wells ; Energy consumption ; Costs ; Electricity supplies ; Groundwater irrigation ; Water policy ; Pumps ; Farmer-led irrigation ; Water rates / South Asia / India / Pakistan / Bangladesh / Nepal / China
(Location: IWMI HQ Call no: IWMI 631.7.6.3 G000 GIO Record No: H040049)
https://publications.iwmi.org/pdf/H040049.pdf

13 Shah, Tushaar; Scott, Christopher; Berkoff, J.; Kishore, A.; Sharma, A.. 2007. The energy-irrigation nexus in South Asia: groundwater conservation and power sector viability. In Molle, Francois; Berkoff, J. (Eds.). Irrigation water pricing: the gap between theory and practice. Wallingford, UK: CABI. pp.208-232. (Comprehensive Assessment of Water Management in Agriculture Series 4)
Tube well irrigation ; Groundwater irrigation ; Energy ; Electricity supplies ; User charges ; Water rates / South Asia / India / China
(Location: IWMI HQ Call no: IWMI 631.7.4 G000 MOL Record No: H040608)
https://publications.iwmi.org/pdf/H040608.pdf
https://vlibrary.iwmi.org/pdf/H040608.pdf

14 Sharma, A.. 2006. Women in farming: cross-country analyses of trends in agricultural labor force. Vallabh Vidyanagar, Gujarat, India: IWMI-TATA Water Policy Research Program. 10p. (IWMI-TATA Water Policy Program Draft Paper 2006/6)
Female labor ; Agricultural manpower ; Agricultural population ; Demographic transition
(Location: IWMI HQ Call no: IWMI 331.481 G000 SHA Record No: H043618)
https://publications.iwmi.org/pdf/H043618.pdf
(0.69 MB)

15 Hussain, M.Z.; Kalra, N.; Chander, S.; Sehgal, M.; Kumar, P. R.; Sharma, A.. 2005. Impact of climate change and its variability on agriculture. SAARC Journal of Agriculture, 3:129-149.
Climate change ; Agricultural production ; Soil fertility ; Soil moisture ; Crop yield ; Insecta ; Pests ; Food production ; Food security ; Land use ; Social aspects ; Economic aspects ; Greenhouse gases ; Emission ; Carbon dioxide / India
(Location: IWMI HQ Call no: e-copy only Record No: H045907)
https://vlibrary.iwmi.org/pdf/H045907.pdf
(0.92 MB)
Global climate is changing and it can have serious implicationsfor our food security through its direct and indirect effects on crops, soils, livestock, .fisheries, and pests. At the same time, this is an issue with several socio-economic-policy-political implications. In the developing countries including india, there has been relativezv less attention paid to this topic in an integrated mannel: Uncertainties and error association with the climate change models. impacts on soil and crop productivity by using crop growth models need to be minimized. The impact on agriculture has heen worked out through soil .fertility. soil moisture availahility, soil biological health, growth and yield of various crops, insects and pests of crops. The interaction among various climatic parameters, mainly temperature, rainfall, radiation and carbon dioxide concentration has been evaluated through growth and yield oj' crops by using simulation models. Vulnerable regions and options to adapt agricultural production under changing climate have been identified. General Circulation lv/odels .for climate change scenarios give quite contrasting results, with poor resolution on temporal and spatial scales. so the uncertainties in climate change scenes remains. Non-availability of suitable socio-economic scenarios for contrasting agro-ecologies adds to the chance q{ error propagation. Extrapolation of the point results ofthe impacts to a larger scale may bring in more errors, ifthe spatial and temporal variability in the socio-economic and biophysical aspects are not included. The ejfixtiveness of this kind of study is possible only ifinter-disciplinary team ofresearchers work together on a common mission ofclimate change related studies.

16 Roy, P. S.; Behera, M. D.; Murthy, M. S. R.; Roy, A.; Singh, S.; Kushwaha, S. P. S.; Jha, C. S.; Sudhakar, S.; Joshi, P. K.; Reddy, S.; Gupta, S.; Pujar, G.; Dutt, C. B. S.; Srivastava, V. K.; Porwal, M. C.; Tripathi, P.; Singh, J. S.; Chitale, V.; Skidmore, A. K.; Rajshekhar, G.; Kushwaha, D.; Karnatak, H.; Saran, S.; Amarnath, Giriraj; Padalia, H.; Kale, M.; Nandy, S.; Jeganathan, C.; Singh, C. P.; Biradar, C. M.; Pattanaik, C.; Singh, D. K.; Devagiri, G. M.; Talukdar, G.; Panigrahy, R. K.; Singh, H.; Sharma, J. R.; Haridasan, K.; Trivedi, S.; Singh, K. P.; Kannan, L.; Daniel, M.; Misra, M. K.; Niphadkar, M.; Nagabhatla, N.; Prasad, N.; Tripathi, O. P.; Prasad, P. R. C.; Dash, P.; Qureshi, Q.; Tripathi, S. K.; Ramesh, B. R.; Gowda, B.; Tomar, S.; Romshoo, S.; Giriraj, S.; Ravan, S. A.; Behera, S. K.; Paul, S.; Das, A. K.; Ranganath, B. K.; Singh, T. P.; Sahu, T. R.; Shankar, U.; Menon, A. R. R.; Srivastava, G.; Sharma, N. S.; Mohapatra, U. B.; Peddi, A.; Rashid, H.; Salroo, I.; Krishna, P. H.; Hajra, P. K.; Vergheese, A. O.; Matin, S.; Chaudhary, S. A.; Ghosh, S.; Lakshmi, U.; Rawat, D.; Ambastha, K.; Malik, A. H.; Devi, B. S. S.; Gowda, B.; Sharma, K. C.; Mukharjee, P.; Sharma, A.; Davidar, P.; Raju, R. R. V.; Katewa, S. S.; Kant, S.; Raju, V. S.; Uniyal, B. P.; Debnath, B.; Rout, D. K.; Thapa, R.; Joseph, S.; Chhetri, P.; Ramachandran, R. M. 2015. New vegetation type map of India prepared using satellite remote sensing: comparison with global vegetation maps and utilities. International Journal of Applied Earth Observation and Geoinformation, 39:142-159. [doi: https://doi.org/10.1016/j.jag.2015.03.003]
Satellite imagery ; Remote sensing ; Vegetation ; Climate change ; Temperature ; Precipitation ; Scrublands ; Grasslands ; Ecology ; Global positioning systems ; Land cover ; Assessment ; Cultivation / India
(Location: IWMI HQ Call no: e-copy only Record No: H047008)
https://vlibrary.iwmi.org/pdf/H047008.pdf
(2.48 MB)
A seamless vegetation type map of India (scale 1: 50,000) prepared using medium-resolution IRS LISS-III images is presented. The map was created using an on-screen visual interpretation technique and has an accuracy of 90%, as assessed using 15,565 ground control points. India has hitherto been using potential vegetation/forest type map prepared by Champion and Seth in 1968. We characterized and mapped further the vegetation type distribution in the country in terms of occurrence and distribution, area occupancy, percentage of protected area (PA) covered by each vegetation type, range of elevation, mean annual temperature and precipitation over the past 100 years. A remote sensing-amenable hierarchical classification scheme that accommodates natural and semi-natural systems was conceptualized, and the natural vegetation was classified into forests, scrub/shrub lands and grasslands on the basis of extent of vegetation cover. We discuss the distribution and potential utility of the vegetation type map in a broad range of ecological, climatic and conservation applications from global, national and local perspectives. Weused 15,565 ground control points to assess the accuracy of products available globally (i.e., GlobCover, Holdridge’s life zone map and potential natural vegetation (PNV) maps). Hence we recommend that the map prepared herein be used widely. This vegetation type map is the most comprehensive one developed for India so far. It was prepared using 23.5m seasonal satellite remote sensing data, field samples and information relating to the biogeography, climate and soil. The digital map is now available through a web portal (http://bis.iirs.gov.in).

17 Amarasinghe, Upali A.; Muthuwatta, Lal; Smakhtin, Vladimir; Surinaidu, Lagudu; Natarajan, R.; Chinnasamy, Pennan; Kakumanu, Krishna Reddy; Prathapar, Sanmugam A.; Jain, S. K.; Ghosh, N. C.; Singh, S.; Sharma, A.; Jain, S. K.; Kumar, S.; Goel, M. K. 2016. Reviving the Ganges water machine: potential and challenges to meet increasing water demand in the Ganges River Basin. Colombo, Sri Lanka: International Water Management Institute (IWMI). 42p. (IWMI Research Report 167) [doi: https://doi.org/10.5337/2016.212]
Water demand ; Water resources ; Water supply ; Water use ; Water storage ; Water quality ; Water accounting ; River basin management ; Groundwater irrigation ; Groundwater depletion ; Groundwater recharge ; Domestic water ; Irrigation water ; Surface water ; Runoff water ; Industrial uses ; Climate change ; Monsoon climate ; Flooding ; Drought ; Cost benefit analysis ; Aquifers ; Solar energy ; Renewable energy ; Pumping ; Cropping systems / South East Asia / India / Nepal / Bangladesh / Tibet / Ganges River Basin
(Location: IWMI HQ Call no: IWMI Record No: H047712)
http://www.iwmi.cgiar.org/Publications/IWMI_Research_Reports/PDF/pub167/rr167.pdf
(1 MB)
Although the Ganges River Basin (GRB) has abundant water resources, the seasonal monsoon causes a mismatch in water supply and demand, which creates severe water-related challenges for the people living in the basin, the rapidly growing economy and the environment. Addressing these increasing challenges will depend on how people manage the basin’s groundwater resources, on which the reliance will increase further due to limited prospects for additional surface storage development. This report assesses the potential of the Ganges Water Machine (GWM), a concept proposed 40 years ago, to meet the increasing water demand through groundwater, and mitigate the impacts of floods and droughts. The GWM provides additional subsurface storage (SSS) through the accelerated use of groundwater prior to the onset of the monsoon season, and subsequent recharging of this SSS through monsoon surface runoff. It was identified that there is potential to enhance SSS through managed aquifer recharge during the monsoon season, and to use solar energy for groundwater pumping, which is financially more viable than using diesel as practiced in many areas at present. The report further explores the limitations associated with water quality issues for pumping and recharge in the GRB, and discusses other related challenges, including availability of land for recharge structures and people’s willingness to increase the cropping intensity beyond the present level.

18 Moalafhi, D. B.; Sharma, A.; Evans, J. P. 2017. Reconstructing hydro-climatological data using dynamical downscaling of reanalysis products in data-sparse regions - application to the Limpopo Catchment in southern Africa. Journal of Hydrology: Regional Studies, 12:378-395. [doi: https://doi.org/10.1016/j.ejrh.2017.07.001]
Hydroclimatology ; Climatic data ; Models ; Simulation ; Meteorological observations ; Precipitation ; Temperature ; Arid climate ; Catchment areas ; River basins / Southern Africa / Limpopo Basin
(Location: IWMI HQ Call no: e-copy only Record No: H048295)
http://www.sciencedirect.com/science/article/pii/S2214581817302537/pdfft?md5=b8200e131bda5cfd71db88e4288c6253&pid=1-s2.0-S2214581817302537-main.pdf
https://vlibrary.iwmi.org/pdf/H048295.pdf
(2.28 MB) (2.28 MB)
This study is conducted over the data-poor Limpopo basin centered over southern Africa using reanalysis downscaled to useful resolution.
Reanalysis products are of limited value in hydrological applications due to the coarse spatial scales they are available at. Dynamical downscaling of these products over a domain of interest offers a means to convert them to finer spatial scales in a dynamically consistent manner. Additionally, this downscaling also offers a way to resolve dominantatmospheric processes, leading to improved accuracy in the atmospheric variables derived. This study thus evaluates high-resolution downscaling of an objectively chosen reanalysis (ERA-I) over the Limpopo basin using Weather Research and Forecasting (WRF) as a regional climate model.
The model generally under-estimates temperature and over-estimates precipitation over the basin, although reasonably consistent with observations. The model does well in simulating observed sustained hydrological extremes as assessed using the Standardized Precipitation Index (SPI) although it consistently under-estimates the severity ofmoisture deficit for the wettest part of the year during the dry years. The basin's aridity index (I) is above the severe drought threshold during summer and is more severe in autumn. This practically restricts rain-fed agriculture to around 3 months in a year over the basin. This study presents possible beneficial use of the downscaled simulations foroptimal hydrologic design and water resources planning in data scarce parts of the world.

19 Asadi Zarch, M. A.; Sivakumar, B.; Malekinezhad, H.; Sharma, A.. 2017. Future aridity under conditions of global climate change. Journal of Hydrology, 554:451-469. [doi: https://doi.org/10.1016/j.jhydrol.2017.08.043]
Climate change ; Arid climate ; Forecasting ; Climatic data ; Models ; Precipitation ; Evapotranspiration ; Assessment ; Time series analysis ; Simulation ; Humid zones
(Location: IWMI HQ Call no: e-copy only Record No: H048417)
https://vlibrary.iwmi.org/pdf/H048417.pdf
(9.97 MB)
Global climate change is anticipated to cause some major changes in hydroclimatic conditions around the world. As aridity is a reliable indicator of potential available water, assessment of its changes under future climatic conditions is important for proper management of water. This study employs the UNESCO aridity/humidity index, which is a derivative of precipitation (P) and potential evapotranspiration (PET), for assessment of aridity. Historical (1901–2005) simulations and future (2006–2100) projections of 22 global climate models (GCMs) from the fifth phase of the Coupled Model Intercomparison Project (CMIP5) are studied. The Nested Bias Correction (NBC) approach is used to correct possible biases of precipitation (simulated directly by the GCMs) and PET (estimated by applying FAO56-Penman-Monteith model on simulated parameters of the GCMs). To detect future aridity changes, the areal extents of the aridity zones in the past and future periods as well as through four sub-periods (2006–2025, 2026–2050, 2051–2075, and 2076–2100) of the future are compared. The results indicate that changes in climate will alter the areal extents of aridity zones in the future. In general, from the first sub-period towards the last one, the area covered by hyper-arid, arid, semi-arid, and sub-humid zones will increase (by 7.46%, 7.01%, 5.80%, and 2.78%, respectively), while the area of the humid regions will decrease (by 4.76%), suggesting that there will be less water over the global land area in the future. To understand the cause of these changes, precipitation and PET are also separately assumed to be stationary throughout the four future sub-periods and the resulting aridity changes are then analyzed. The results reveal that the aridity changes are mostly caused by the positive PET trends, even though the slight precipitation increase lessens the magnitude of the changes.

20 Sharma, A.. 2019. Giving water its place: artificial glaciers and the politics of place in a high-altitude Himalayan village. Water Alternatives, 12(3):993-1016.
Water resources ; Glaciers ; Political aspects ; Villages ; Legal aspects ; Boundaries ; Sustainable development ; Irrigation channels ; Watersheds ; Technology ; Economic aspects ; Investment ; Social aspects / India / Himalayan Region / Ladakh / Phyang
(Location: IWMI HQ Call no: e-copy only Record No: H049351)
http://www.water-alternatives.org/index.php/alldoc/articles/vol12/v12issue3/552-a12-3-8/file
https://vlibrary.iwmi.org/pdf/H049351.pdf
(3.21 MB) (3.21 MB)
Jeff Malpas' concept of place as a bounded, open, and emergent structure is used in this article to understand the reasons for the differences in villagers' responses to 'artificial glaciers', or 'Ice stupas', built in two different places in the Himalayan village of Phyang, in Ladakh. Using archival material, geographic information system tools and ethnographic research, this study reveals how Phyang as a village is constituted by interacting ecological-technical, socio-symbolic, and bureaucratic-legal boundaries. It is observed that technologies such as land revenue records, and cadastral maps, introduced in previous processes of imperialist state formation, continue to inform water politics in this Himalayan region. It is further demonstrated how this politics is framed within the village of Phyang, but also shifts its boundaries to create the physical, discursive, and symbolic space necessary for projects like the Ice stupa to emerge. By examining the conflict through the lens of place, it is possible to identify the competing discursive frames employed by different stakeholders to legitimise their own projects for developing the arid area (or Thang) where the contested Ice stupa is located. Such an analysis allows critical water scholarship to understand both how places allow hydrosocial relationships to emerge, and how competing representations of place portray these relationships. Understanding the role of place in the constitution of hydrosocial relationships allows for a more nuanced appraisal of the challenges and opportunities inherent in negotiating development interventions aimed at mitigating the effects of climate change. It is also recommended that scholars studying primarily the institutional dimensions of community-managed resource regimes consider the impact on these institutions of technological artefacts such as the high density polyethylene (HDPE) pipes used to construct the Ice stupas.

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