Your search found 13 records
(Location: IWMI-HQ Call no: 631.7.6.3 G584 HAM Record No: H079)
(Location: IWMI-HQ Call no: 631.7.3 G584 HAM Record No: H096)
(Location: IWMI-HQ Call no: P 5806 Record No: H028623)
(Location: IWMI-HQ Call no: P 6795 Record No: H034357)
5 Islam, M. R.. (Ed.) 2004. Where land meets the sea: A profile of the coastal zone of Bangladesh. Dhaka, Bangladesh: The University Press. xviii, 317p.
(Location: IWMI-HQ Call no: 333.91 G584 ISL Record No: H036817)
6 Islam, M. R.. 2006. Managing diverse land uses in coastal Bangladesh: institutional approaches. In Hoanh, Chu Thai; Tuong, T. P.; Gowing, J. W.; Hardy, B. (Eds.). Environment and livelihoods in tropical coastal zones: managing agriculture, fishery, aquaculture conflicts. Wallingford, UK: CABI; Los Banos, Philippines: International Rice Research Institute (IRRI); Colombo, Sri Lanka: International Water Management Institute (IWMI) pp.237-248. (Comprehensive Assessment of Water Management in Agriculture Series 2)
(Location: IWMI-HQ Call no: IWMI 639.8 G000 HOA Record No: H039119)
7 Singh, R. K.; Redona, E.; Gregorio, G. B.; Salam, M. A.; Islam, M. R.; Singh, D. P.; Sen, P.; Saha, S.; Mahata, K. R.; Sharma, S. G.; Pandey, M. P.; Sajise, A. G.; Mendoza, R. D.; Toledo, M. C.; Dante, A.; Ismail, A. M.; Paris, T. R.; Haefele, S. M.; Thomson, M. J.; Zolvinski, S.; Singh, Y. P.; Nayak, A. K.; Singh, R. B.; Mishra, V. K.; Sharma, D. K.; Gautam, R. K.; Ram, P. C.; Singh, P. N.; Verma, O. P.; Singh, A.; Lang, N. T. 2010. The right rice in the right place: systematic exchange and farmer-based evaluation of rice germplasm for salt-affected areas. In Hoanh, Chu Thai; Szuster, B. W.; Kam, S. P.; Ismail, A. M; Noble, Andrew D. (Eds.). Tropical deltas and coastal zones: food production, communities and environment at the land-water interface. Wallingford, UK: CABI; Colombo, Sri Lanka: International Water Management Institute (IWMI); Penang, Malaysia: WorldFish Center; Los Banos, Philippines: International Rice Research Institute (IRRI); Bangkok, Thailand: FAO Regional Office for Asia and the Pacific; Colombo, Sri Lanka: CGIAR Challenge Program on Water and Food (CPWF). pp.166-182.
(Location: IWMI HQ Call no: IWMI 551.457 G000 HOA Record No: H043056)
(5.08 MB)
8 Salam, M. A.; Islam, M. R.; Rahman, M. S .; Rahman, M. A.; Bhuiyan, M. A. R.; Seraj, Z. I.; Aditya, T. L.; Uddin, M. K.; Mondal, M. K.; Ismail, A. M.; Adorada, D. L.; Mendoza, R. D.; Tumimbang-Raiz, E. B.; Gregorio, G. B. 2010. Rice varieties and cultural management practices for high and sustained productivity in the coastal wetlands of southern Bangladesh. In Hoanh, Chu Thai; Szuster, B. W.; Kam, S. P.; Ismail, A. M; Noble, Andrew D. (Eds.). Tropical deltas and coastal zones: food production, communities and environment at the land-water interface. Wallingford, UK: CABI; Colombo, Sri Lanka: International Water Management Institute (IWMI); Penang, Malaysia: WorldFish Center; Los Banos, Philippines: International Rice Research Institute (IRRI); Bangkok, Thailand: FAO Regional Office for Asia and the Pacific; Colombo, Sri Lanka: CGIAR Challenge Program on Water and Food (CPWF). pp.183-198.
(Location: IWMI HQ Call no: IWMI 551.457 G000 HOA Record No: H043057)
(5.08 MB)
9 Stroud, J. L.; Norton, G. J.; Islam, M. R.; Dasgupta, T.; White, R. P.; Price, A. H.; Meharg, A. A.; McGrath, S. P.; Zhao, F-J. 2011. The dynamics of arsenic in four paddy fields in the Bengal Delta. Environmental Pollution, 159:947-953.
(Location: IWMI HQ Call no: e-copy only Record No: H045041)
(0.58 MB)
Irrigation with arsenic contaminated groundwater in the Bengal Delta may lead to As accumulation in the soil and rice grain. The dynamics of As concentration and speciation in paddy fields during dry season (boro) rice cultivation were investigated at 4 sites in Bangladesh and West Bengal, India. Three sites which were irrigated with high As groundwater had elevated As concentrations in the soils, showing a significant gradient from the irrigation inlet across the field. Arsenic concentration and speciation in soil pore water varied temporally and spatially; higher As concentrations were associated with an increasing percentage of arsenite, indicating a reductive mobilization. Concentrations of As in rice grain varied by 2e7 fold within individual fields and were poorly related with the soil As concentration. A field site employing alternating flooded-dry irrigation produced the lowest range of grain As concentration, suggesting a lower soil As availability caused by periodic aerobic conditions.
10 Islam, M. R.; Alam, S. 2008. Interlinking of rivers in India: international and regional legal aspects. In Mirza, M. M. Q.; Ahmed, A. U.; Ahmad, Q. K. (Eds.). Interlinking of rivers in India: issues and concerns. Leiden, Netherlands: CRC Press. pp.219-233.
(Location: IWMI HQ Call no: 363.6 G000 MIR Record No: H045878)
11 Rahman, M. A.; Sarker, M. R. A.; Sharma, N.; Mondal, M. K.; Islam, M. R.; Gregorio, G. B.; Humphreys, E.; Tuong, T. P. 2015. Challenges and opportunities for aman rice cultivation in ghers used for brackish water shrimp production. In Humphreys, E.; Tuong, T. P.; Buisson, Marie-Charlotte; Pukinskis, I.; Phillips, M. (Eds.). Proceedings of the CPWF, GBDC, WLE Conference on Revitalizing the Ganges Coastal Zone: Turning Science into Policy and Practices, Dhaka, Bangladesh, 21-23 October 2014. Colombo, Sri Lanka: CGIAR Challenge Program on Water and Food (CPWF). pp.333-341.
(Location: IWMI HQ Call no: IWMI Record No: H047208)
(0.31 MB) (11.9 MB)
12 Mishra, D.; Das, B. S.; Sinha, T.; Hoque, J. M.; Reynolds, C.; Islam, M. R.; Hossain, M.; Sar, P.; Menon, M. 2021. Living with arsenic in the environment: an examination of current awareness of farmers in the Bengal Basin using hybrid feature selection and machine learning. Environment International, 153:106529. (Online first) [doi: https://doi.org/10.1016/j.envint.2021.106529]
(Location: IWMI HQ Call no: e-copy only Record No: H050292)
(2.07 MB) (2.07 MB)
High levels of arsenic in drinking water and food materials continue to pose a global health challenge. Over 127 million people alone in Bangladesh (BD) and West Bengal (WB) state of India are exposed to elevated levels of arsenic in drinking water. Despite decades of research and outreach, arsenic awareness in communities continue to be low. Specifically, very few studies reported arsenic awareness among low-income farming communities. A comprehensive approach to assess arsenic awareness is a key step in identifying research and development priorities so that appropriate stakeholder engagement may be designed to tackle arsenic menace. In this study, we developed a comprehensive arsenic awareness index (CAAI) and identified key awareness drivers (KADs) of arsenic to help evaluate farmers’ preferences in dealing with arsenic in the environment. The CAAI and KADs were developed using a questionnaire survey in conjunction with ten machine learning (ML) models coupled with a hybrid feature selection approach. Two questionnaire surveys comprising of 73 questions covering health, water and community, and food were conducted in arsenic-affected areas of WB and BD. Comparison of CAAIs showed that the BD farmers were generally more arsenic-aware (CAAI = 7.7) than WB farmers (CAAI = 6.8). Interestingly, the reverse was true for the awareness linked to arsenic in the food chain. Application of hybrid feature selection identified 15 KADs, which included factors related to stakeholder interventions and cropping practices instead of commonly perceived factors such as age, gender and income. Among ML algorithms, classification and regression trees and single C5.0 tree could estimate CAAIs with an average accuracy of 84%. Both communities agreed on policy changes on water testing and clean water supply. The CAAI and KADs combination revealed a contrasting arsenic awareness between the two farming communities, albeit their cultural similarities. Specifically, our study shows the need for increasing awareness of risks through the food chain in BD, whereas awareness campaigns should be strengthened to raise overall awareness in WB possibly through media channels as deemed effective in BD.
(Location: IWMI HQ Call no: e-copy only Record No: H051623)
(0.46 MB) (472 KB)
This study examines key factors influencing the economic benefit of rainwater harvesting on the household at the Mongla Upazila in the Bagerhat district of coastal Bangladesh. The household survey questionnaire was used to collect primary data from 1040 households. The Ordinary Least Square (OLS) regression analysis was applied to understand the relationship between economic benefit and factors that can affect economic benefit in the household. The empirical result shows that income (1.103**), storage capacity (0.574***), water price (32708.9***), age of rainwater harvesting (100.083***), and total cost (1.627***) positively impact economic benefit while the number of children (35.531**) has a negative relationship. The finding confirms the validity of statistical hypotheses. In addition, heterogeneity analysis was employed to test the model's strength and robustness check to validate the structural function and efficiency of the regression model. The finding concludes with policy recommendations, especially for rain-intensive countries that focus on (i) formulating and implementing rainwater harvesting policy; (ii) integrating rainwater harvesting as a tool for poverty reduction and achieving sustainable development goals; (iii) minimizing mismanagement of (rain) water that causes floods; (iv) initiating programmes and taking the necessary steps for providing financial and non-financial incentives for rainwater harvesting in commercial, and non-commercial buildings.
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