Your search found 3 records
1 Bhuiyan, M. A.; Salehin, M.. 2002. Application of different kriging methods to generate transmissivity field in Dhaka city aquifer system. In Pakistan Water Partnership (PWP). Second South Asia Water Forum, 14-16 December 2002, Islamabad, Pakistan. Proceedings, vol.1. Islamabad, Pakistan: Pakistan Water Partnership (PWP). pp.23-34.
(Location: IWMI HQ Call no: 333.91 G570 PAK Record No: H034122)
2 Borgomeo, E.; Hall, J. W.; Salehin, M.. 2018. Avoiding the water-poverty trap: insights from a conceptual human-water dynamical model for coastal Bangladesh. International Journal of Water Resources Development, 34(6):900-922. [doi: https://doi.org/10.1080/07900627.2017.1331842]
Water security ; Poverty ; Coastal area ; Water supply ; Infrastructure ; Maintenance ; Models ; Agricultural production ; Farm income ; Natural disasters ; Flooding ; Salinity ; Case studies / Bangladesh
(Location: IWMI HQ Call no: e-copy only Record No: H048944)
(1.46 MB)
Water-related risks impact development opportunities and can trap communities in a downward spiral of economic decline. In this article, the dynamic relationship between water-related risks and economic outcomes for an embanked area in coastal Bangladesh is conceptualized. The interaction between flood events, salinity, deteriorating and poorly maintained water infrastructure, agricultural production and income is modelled. The model is used to test the effect of improvements in the reliability, operation and maintenance of the water infrastructure on agricultural incomes and assets. Results indicate that interventions can have non-marginal impacts on indicators of welfare, switching the system dynamic from a poverty trap into one of growth.
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.
Powered by DB/Text WebPublisher, from
