Your search found 5 records
1 Hooja, R.; Srinivas, V.; Sharma, G.. 1995. Waterlogging and salinity problems in IGNP, Rajasthan. In Rao, K. V. G. K.; Agarwal, M. C.; Singh, O. P.; Oosterbaan, R. J. (Eds.), Reclamation and management of waterlogged saline soils: National Seminar Proceedings, April 5 to 8, 1994. Karnal, India; Hisar, India: Central Soil Salinity Research Institute; CCS Haryana Agricultural University. pp.141-159.
Irrigation programs ; Irrigation canals ; Waterlogging ; Salinity ; Water table ; Monitoring ; Subsurface drainage ; Tube wells ; Water table / India / Rajasthan / Indira Gandhi Canal Project
(Location: IWMI-HQ Call no: 631.4 G635 RAO Record No: H018998)
2 Hooja, R.; Srinivas, V.; Sharma, G.. 1997; 2000. Prevention of and remedies for waterlogging problems in parts of stage 1 of IGNP Rajasthan: A case study. In ICID, 7th ICID International Drainage Workshop, "Drainage for the 21st century," 17-21 November 1997, Penang, Malaysia - Proceedings, volume 3: Management challenge, training and research. Malacca, Malaysia: Malaysian National Committee on Irrigation and Drainage (MANCID); In Hooja, R.; Mundra, S. N.; Ram, S. (Eds.), Irrigation drainage international and national perspectives. Udaipur, India: Agro Tech Publishing Academy. pp.T12:1-8; pp.162-174.
Irrigation programs ; Irrigation canals ; Waterlogging ; Drainage ; Case studies / India / Indira Gandhi Canal Project
(Location: IWMI-HQ Call no: ICID 631.62 G000 ICI, 631.7.1 G000 HOO Record No: H022816)
3 Sharma, Bharat R.; Rao, K. V. G. K.; Sharma, G.. 2009. Groundwater externalities of large surface irrigation transfers: lessons from Indira Gandhi Nahar Pariyojana, Rajasthan, India. In International Water Management Institute (IWMI). Strategic Analyses of the National River Linking Project (NRLP) of India Series 5. Proceedings of the Second National Workshop on Strategic Issues in Indian Irrigation, New Delhi, India, 8-9 April 2009. Colombo, Sri Lanka: International Water Management Institute (IWMI). pp.107-121.
Irrigation programs ; Irrigation canals ; Water transfer ; Groundwater management ; Waterlogging ; Soil salinity / India / Rajasthan / Indira Gandhi Nahar Pariyojana
(Location: IWMI HQ Call no: e-copy only Record No: H042689)
(0.16 MB)
4 Sharma, G.; Namchu, C.; Nyima, K.; Luitel, M.; Singh, S.; Goodrich, C. G. 2020. Water management systems of two towns in the eastern Himalaya: case studies of Singtam in Sikkim and Kalimpong in West Bengal states of India. Water Policy, 22(S1):107-129. [doi: https://doi.org/10.2166/wp.2019.229]
Water management ; Water resources ; Water supply ; Infrastructure ; Water springs ; Water governance ; Water scarcity ; Climate change ; Rain ; Drinking water ; Political aspects ; Case studies ; Households ; Socioeconomic environment / India / Eastern Himalaya / West Bengal / Singtam / Sikkim / Kalimpong
(Location: IWMI HQ Call no: e-copy only Record No: H049958)
https://iwaponline.com/wp/article-pdf/22/S1/107/651641/022000107.pdf
https://vlibrary.iwmi.org/pdf/H049958.pdf
https://vlibrary.iwmi.org/pdf/H049958.pdf
(0.89 MB) (908 KB)
This study examines the water supply systems, their sociopolitical dynamics, and the future of water management in two Indian towns in the Eastern Himalaya, Kalimpong in West Bengal and Singtam in Sikkim. The research was centred around issues of demand and supply, water scarcity and stress, equity, water governance, and the sustainable conservation and management of water resources in a climate change context. Methodologically based on surveys, focus group discussions, and key informants' interviews, this study finds that spring sources are drying alarmingly in Singtam, even as demand is increasing dramatically due to a floating population that is more than the number of local inhabitants. The town suffers from the lack of an adequate reservoir facility and the frequent damage of water supply pipes during the monsoon. Kalimpong faces acute water shortages all year round. The political tug of war between the state government agencies and the local government around the management and supply of water, declining water discharge in spring sources, the lack of water infrastructure for repair, maintenance, and supply, and the glaring inequity between the higher, middle, and lower income groups are the immediate issues around water in Kalimpong. The spring sources that supply drinking water to Kalimpong and Singtam need immediate conservation measures to arrest the declining state of discharge. Micro-planning at the local level, reviving drying springs, and the adoption of appropriate soil and water conservation practices on a watershed basis are all important ways forward. The development of water security plans and their strict enforcement through multi-institutional collaboration can contribute to improved water governance and socioecological restoration for sustainable water resources management.
5 Mia, Md. U.; Rahman, M.; Elbeltagi, A.; Abdullah-Al-Mahbub, Md.; Sharma, G.; Islam, H. M. T.; Pal, S. C.; Costache, R.; Towfiqul Islam, A. R. Md.; Islam, Md. M.; Chen, N.; Alam, E.; Washakh, R. M. A. 2022. Sustainable flood risk assessment using deep learning-based algorithms with a blockchain technology. Geocarto International, 30p. (Online first) [doi: https://doi.org/10.1080/10106049.2022.2112982]
Flooding ; Risk assessment ; Disaster risk management ; Machine learning ; Blockchain technology ; Neural networks ; Sustainable development ; Floodplains ; Rain ; Forecasting ; Datasets ; Mapping ; Normalized difference vegetation index ; Models / Bangladesh / Brahmaputra River / Jamalpur / Gaibandha / Kurigram / Bogra
(Location: IWMI HQ Call no: e-copy only Record No: H051339)
https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2112982
https://vlibrary.iwmi.org/pdf/H051339.pdf
https://vlibrary.iwmi.org/pdf/H051339.pdf
(5.41 MB) (5.41 MB)
The couplings of convolutional neural networks (CNN) with random forest (RF), support vector machine (SVM), long short-term memory (LSTM), and extreme gradient boosting (XGBoost) ensemble algorithms were used to construct novel ensemble computational models (CNN-LSTM, CNN-XG, CNN-SVM, and CNN-RF) for flood hazard mapping in the monsoon-dominated catchment, Bangladesh. The results revealed that geology, elevation, the normalized difference vegetation index (NDVI), and rainfall are the most significant parameters in flash floods based on the Pearson correlation technique. Statistical method such as the area under the curve (AUC) was used to evaluate model performance. The CNN-RF model could be a promising tool for precisely predicting and mapping flash floods as it is outperformed the other models (AUC = 1.0). Furthermore, to meet sustainable development goals (SDGs), a blockchain-based technology is proposed to create a decentralized flood management tool for help seekers and help providers during and post floods. The suggested tool accelerates emergency rescue operations during flood events.
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