Your search found 9 records
(Location: IWMI-HQ Call no: 338.1 G592 BAR Record No: H017536)
2 Jain, V.; Sinha, R.. 2003. Derivation of unit hydrograph from GIUH analysis for a Himalayan river. Water Resources Management, 17(5):355-375.
(Location: IWMI-HQ Call no: PER Record No: H033108)
3 Sinha, R.. 1976. Food and poverty: the political economy of confrontation. New York, NY, USA: Holmes & Meier. 196p.
(Location: IWMI HQ Call no: 338.1 G000 SIN Record No: H044528)
(0.20 MB)
(Location: IWMI HQ Call no: e-copy only Record No: H048328)
(1.12 MB) (1.12 MB)
Study region: Upper Ganga reaches up to Rishikesh town, India.
Study focus: Environmental Flows (E-Flows) assessment in the upper stretches of the Ganga river has been carried out by integrating ecological and geomorphological parameters with hydraulic analysis to estimate the flow depths and flow volumes necessary for river ecology and channel maintenance. We have used a modified version of Building Block Method (BBM) for computing E-Flows for lean period, for monsoon period and for high floods based on the flow requirements of keystone species for different sites and geomorphic considerations. We define three flow depths, D1, D2 and D3 which correspond to the minimum flow depths required for sustenance of keystone species during lean period, for breeding and spawning of keystone species during monsoon period, and for maintaining lateral connectivity during floods respectively.
New hydrological insights for the region: Annual hydrographs for E-Flows have been developed and compared with the observed flows for each site under natural flow conditions. Our computation shows that for the wet period, which is taken as the period from mid-May to mid-October, monthly E-Flows vary from ~23% to ~40% of the monthly natural flows at different sites. However, dry season E-Flows as percentages of natural flows, taken for the period from mid-October to mid-May, vary over a wider range of 29%–53% for these sites.
5 Scott, C. A.; Zhang, F.; Mukherji, A.; Immerzeel, W.; Mustafa, D.; Bharati, Luna; Zhang, H.; Albrecht, T.; Lutz, A.; Nepal, S.; Siddiqi, A.; Kuemmerle, H.; Qadir, M.; Bhuchar, S.; Prakash, A.; Sinha, R.. 2019. Water in the Hindu Kush Himalaya. In Wester, P.; Mishra, A.; Mukherji, A.; Shrestha, A. B. (Eds.). The Hindu Kush Himalaya assessment: mountains, climate change, sustainability and people. Cham, Switzerland: Springer. pp.257-299.
(Location: IWMI HQ Call no: e-copy only Record No: H049103)
(28.3 MB)
(Location: IWMI HQ Call no: e-copy only Record No: H049269)
(2.17 MB)
Investments in modernizing irrigation infrastructure are key to enhance water security for agriculture. However, outcomes of investments are insufficiently understood, limiting the future design of interventions. This article applies a fixed effects regression model to test whether modernization of irrigation systems in Madhya Pradesh leads to improvements in district-level yields and protection of yields against sub-basin rainfall variability. Findings suggest that investments fail to improve yields in districts with deficient rainfall and fail to buffer crops against monsoon variability, compared to control districts with no investments. Interventions should be designed to respond to the complexities of sub-basin rainfall variability.
(Location: IWMI HQ Call no: e-copy only Record No: H050413)
(11.40 MB) (11.4 MB)
Wetlands form an important and dynamic ecosystem, and therefore, need continuous monitoring. We have developed a framework to assess the status of wetland health based on hydrogeomorphic characteristics and vegetation dynamics and have implemented it on a newly designated Ramsar site, Kaabar Tal, a large floodplain wetland in Ganga Plains, eastern India. The study has attempted to integrate the hydrological, geomorphological, and ecological concepts and tools to develop the protocols for a hydrogeomorphic assessment of wetland health. We have used multi-temporal Landsat imageries to define several health indicators based on water-spread area, geomorphology, and vegetation and have integrated them to compute wetland health index (WHI) scores. These health indicators correspond to a range of spatial scales – landscape (wetland) scale, ecosystem (sub-wetland) scale, and local (pixel) scale and individually represent different hydrogeomorphic and ecological functions as well as dynamics of a wetland. We have also presented four different wetland health scenarios based on dominating health indicator and two integrated scenarios representing the best and the worst WHI scores in all four scenarios. Our results show that the Kaabar Tal is in a degraded state and the degree of degradation varies spatially within the wetland. Agriculture is the prime factor for its degradation, augmented by decreasing rainfall and anthropogenic drainage reorganization. Based on our data analysis, we have suggested several recommendations to restore the health of this wetland. The framework presented in this work has a potential to understand the relationship between hydrodynamics and ecological functions in wetland systems in different hydro-climatic settings.
(Location: IWMI HQ Call no: e-copy only Record No: H050419)
(15.90 MB) (15.9 MB)
Northwestern India has been identified as a significant hotspot of groundwater depletion, with major implications for groundwater sustainability caused by excessive abstraction. We know relatively little about the detailed spatial and temporal changes in groundwater storage in this region, nor do we understand the interplay of factors controlling these changes. Groundwater managers and policymakers in India require such information to monitor groundwater development and make strategic decisions for the sustainable management of groundwater. Here, we characterise high-resolution spatio-temporal variability in groundwater levels and storage change across northwestern India through analysis of in situ measurements of historical groundwater level data. We note a slow gain in groundwater storage of + 0.58 ± 0.35 km3 for the pre-monsoon and + 0.40 ± 0.35 km3 for the post-monsoon period between 1974 and 2001. However, from 2002 to 2010, groundwater storage was rapidly depleted by -32.30 ± 0.34 km3 in the pre-monsoon and -24.42 ± 0.34 km3 in the post-monsoon period. Importantly, we observe marked spatial heterogeneity in groundwater levels and storage change and distinct hotspots of groundwater depletion with lateral length scales of tens of kilometers. Spatial variability in groundwater abstraction partially explains the depletion pattern, but we also find that the sedimentological heterogeneity of the aquifer system correlates broadly with long-term patterns of groundwater-level change. This correlation, along with the spatial agreement between groundwater level change and water quality, provides a framework for anticipating future depletion patterns and guiding groundwater monitoring and domain-specific management strategies.
(Location: IWMI HQ Call no: e-copy only Record No: H051122)
(1.06 MB) (1.06 MB)
Investments to rehabilitate irrigation infrastructure aim to enhance climate resilience and improve farmers' livelihoods in the face of hydrological risks. Studies seeking to assess the impacts from investments in irrigation primarily focus on yield and income-related poverty measures. This approach provides an incomplete picture of the distributional implications of investments, such as the impact of rehabilitated irrigation infrastructure on the subjective well-being of farmers. Drawing on data from 707 farmers in Madhya Pradesh, India, we explore whether investments to rehabilitate irrigation infrastructure are associated with changes in subjective well-being among smallholders. Our findings show a positive relationship between farmers with access to rehabilitated surface irrigation and well-being improvements. Results reveal that farmers in areas with rehabilitated irrigation canals experience improvements in subjective well-being which are 20%–30% higher in comparison to farmers in areas without rehabilitated canals. When results are disaggregated, we find a larger positive effect on well-being for farmers in deficient-rainfall areas compared to average- or high-rainfall areas. The integration of contextual factors related to subjective well-being into future assessments of infrastructure investments in India can enhance knowledge of the multidimensional benefits of canal irrigation among diverse farming groups facing differing degrees of hydrological risk.
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