Your search found 3 records
1 Rabbani, G.; Haque, A.. 2000. Sustainable development of irrigation and drainage for rice paddy field. In ICID, Asian Regional Workshop on Sustainable Development of Irrigation and Drainage for Rice Paddy Fields - Proceedings, July 24th to 28th, 2000, Tokyo Japan. Tokyo, Japan: ICID. Japanese National Committee. pp.215-226.
Crop-based irrigation ; Rice ; Drainage ; Sustainability ; Irrigation management ; Social participation ; Water quality ; Irrigation water ; Irrigation requirements ; Water requirements ; Supplementary irrigation ; Irrigation scheduling / Bangladesh
(Location: IWMI-HQ Call no: 631.7.2 G570 ICI Record No: H027888)
2 Alam, Mohammad Faiz; Sikka, Alok; Pavelic, Paul; Krishan, S.; Dodiya, M.; Habib, A.; Haque, A.. 2023. Pumping behavior of solar irrigation farmers for assessing the sustainability of groundwater in Bangladesh and India. Colombo, Sri Lanka: International Water Management Institute (IWMI). 4p. (Issue Brief Series 5)
Solar powered irrigation systems ; Pumping ; Farmers ; Sustainability ; Groundwater irrigation ; Pumps ; Solar energy ; Groundwater extraction ; Government ; Agriculture / Bangladesh / India / Gujarat / Suryashakti Kisan Yojana (SKY) Scheme
(Location: IWMI HQ Call no: e-copy only Record No: H052302)
(1.69 MB)
The increasing use of Solar Irrigation Pumps (SIPs) has raised concerns about the overexploitation of groundwater. So, this study aims to evaluate the impact of SIPs on pumping behaviour of farmers and its subsequent effect on overall groundwater resources in Bangladesh and India. In Bangladesh, the study is being carried out in the intensively irrigated North-West region, where the government is promoting the feefor- service model for solar irrigation. This model creates a solar irrigation command area by setting up centralized sponsored SIPs. In India, the study is being conducted in the state of Gujarat, where the grid-connected solar irrigation pump model has been implemented under the Suryashakti Kisan Yojana (SKY) scheme.
3 Haque, A.; Shampa; Akter, M.; Hussain, Md. M.; Rahman, Md. R.; Salehin, M.; Rahman, M. 2024. An integrated risk-based early warning system to increase community resilience against disaster. Progress in Disaster Science, 21:100310. [doi: https://doi.org/10.1016/j.pdisas.2023.100310]
Disaster risk reduction ; Flood forecasting ; Communities ; Resilience ; Early warning systems ; Model ; Sustainable Development Goals ; Vulnerability ; Villages ; Indicators ; River water ; Water levels / Bangladesh / Kurigram
(Location: IWMI HQ Call no: e-copy only Record No: H052633)
https://www.sciencedirect.com/science/article/pii/S2590061723000376/pdfft?md5=40313c2dfaa230bcc2d53032aa35f8bf&pid=1-s2.0-S2590061723000376-main.pdf
https://vlibrary.iwmi.org/pdf/H052633.pdf
https://vlibrary.iwmi.org/pdf/H052633.pdf
(9.74 MB) (9.74 MB)
The need to integrate Early Warning System (EWS) with Disaster Risk Reduction (DRR) has long been recognized in several global forums. In the year 2006, the United Nations International Strategy for Disaster Reduction (UNISDR) proposed an Integrated Risk-based EWS (IR-EWS) by integrating four elements: (1) Monitoring and warning service; (2) Risk knowledge; (3) Dissemination and communication; and (4) Response capability. Nearly after two decades of the UNISDR proposal, our study finds that there are still gaps in making IR-EWS operational. Our study also finds that works on conceptualizing integration of resilience against disaster with EWS as part of DRR (in line with SDG-13) has not yet been started. Against this backdrop, in this study we developed an IR-EWS for flood termed as Dynamic Flood Risk Model (DFRM) which contains: (1) simple risk-based warning numbers which are easily understandable and communicable to the community, with risk considered as a proxy for resilience; and (2) capital-based action plans in relation to community capital to reduce disaster risk and increase community resilience against disaster. The DFRM is applied in two flood-prone districts in Bangladesh and found to be acceptable to the community with reasonable accuracy. The model is the customized version of flood for generic IR-EWS. This study can be considered as the first attempt of the next generation IR-EWS where risk is represented by simple warning numbers and where EWS (as part of DRR) can be applied to increase the resilience.
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