Dr. Md Mizanur Rahman - Academia.edu (original) (raw)

Papers by Dr. Md Mizanur Rahman

Research paper thumbnail of Promoting Trans-border Early Warning System in South Asia: Practices, Challenges and Prospects

Summary Report, 2018

Floods spread across trans-border in South Asia. There exist early warning systems within the cou... more Floods spread across trans-border in South Asia. There exist early warning systems within the countries at national and community levels and some practices of exchanging flood information at cross-border level. However, on trans-border scale, systematic evaluation of such community based cross-border flood EWS is lacking. Lessons from existing initiatives, though in small areas, can help scale up and scale out disaster risk management at trans-border level. At the same time, it is necessary to understand the institutional and operational challenges and constraints of EWS across borders such that it can be made further effective. This paper tries to explore opportunities and constraints for more effective flood EWS at trans-border scale and bring information to the notice of the policy makers in the region.

Research paper thumbnail of Study of Early Flood Warning Dissemination System in Bangladesh

Research paper thumbnail of Impact of Climate Change on Rainfall in North western Part of Bangladesh by Multi-model Ensemble using LARS-WG

Research paper thumbnail of Seasonal and Annual Variations of Rainfall Pattern in the Jamuneswari Basin, Bangladesh

Research paper thumbnail of Regional Extreme Rainfall Estimation of Bangladesh for flood design using L-moment Technique

Research paper thumbnail of Development of Jamuneswari Flood Forecasting System ‐ A Case Study in Bangladesh

A flood forecasting system has been developed using MIKE11 river-modeling software modules rainfa... more A flood forecasting system has been developed using MIKE11 river-modeling software modules rainfall-runoff (RR) [or Nedbor-Afstromnings model (NAM)], hydrodynamic (HD), and flood forecasting (FF) for the Jamuneswari river catchment of the northwestern part of Bangladesh. The 3-arc second shuttle radar topography mission (SRTM) digital elevation model (DEM) version 4.0 and the D8 method of ArcGIS9.3 have been used to delineate river network and catchment bounderies, which are required for MIKE 11 model setup. The European Centre for Medium-Range Weather Forecast (ECMWF) model-forecasted rainfall data have been used in MIKE 11 NAM-HD modules to increase the forecast lead time to 72 h. Errors in forecast results have been assessed by computing efficiency index, coefficient of correlation, volume error, peak error, and peak time error. Integration of the MIKE 11 HD module with the MIKE NAM module has improved the result by 10.84% for efficiency index, 20.7% for volume error, 25.61% for peak error, and 95.83% for peak time error. The MIKE 11 FF module was applied along with the integrated MIKE 11 NAM and HD modules to minimize error in the forecasted result. The efficiency index, volume error, peak error, and peak time error of the hindcast result, before updating by MIKE 11 FF, were calculated as 0.803, 0.505%, 2.58%, and 2 h, After updating by the MIKE 11 FF module, results were calculated as 0.989, −0.005%, 0.158%, and 0.00 h. Inputting the ECMWF-forecasted rainfall, the updated forecasting system determined the efficiency index, volume error, peak error, and peak time error as 0.92, 0.008%, 0.87%, and 0.00% for 24 h; 0.87, 0.231%, 0.507%, and 0.00 h for 48 h; and 0.84, 0.519%, and 0.000 h for 72 h. The steps for developing the flood forecasting system described in this case study are generic and can be applied under similar geographic conditions in other locations worldwide. In Bangladesh, decision makers will have more time to develop responses to imminent the flooding as a result of the increased forecast lead time provided by the analysis method described in this case study.

Research paper thumbnail of Saline Water Intrusion in Coastal Bangladesh

Research paper thumbnail of An analysis of flood control in eastern South Asia

Research paper thumbnail of Assessment of Flood Hazard Vulnerability of Tarapur Union of Gaibandha by using Geoinformatics

Research paper thumbnail of Rainfall Statistics Evaluation of TRMM and ECMWF model Data over Bangladesh for Flood Related Studies

Research paper thumbnail of Design Flow and Stage Computations in the Teesta River, Bangladesh Using Frequency Analysis and MIKE 11 Modeling

Research paper thumbnail of Limitation of Application of 90m SRTM DEM in Hydrological Application/Analysis using D8 method in the Flat Terrain of Bangladesh

Research paper thumbnail of Approach of Early Flood Warning System for Urban Flood Risk Mitigation

Research paper thumbnail of Geo-informatics approach for augmentation of lead time of flood forecasting, Bangladesh Perspective

Research paper thumbnail of Advancement of Flood Forecasting and Warning System in Bangladesh for Risk Management - Present and Future

Research paper thumbnail of Planning of Structural Measure for Flood Damage Mitigation using Hydro-Geoinformatics - A case study from Bangladesh

Research paper thumbnail of Irrigation Performance Improvement By Non-Structural Measures — A Case Study From Bangladesh

Research paper thumbnail of Preparation of Irrigation Management Plan Using DSS - A Case Study from Bangladesh

Research paper thumbnail of Impact of Salinity Intrusion in the Inland Coast of Bangladesh

Research paper thumbnail of Salinity intrusion and its management aspects in Bangladesh

Research paper thumbnail of Promoting Trans-border Early Warning System in South Asia: Practices, Challenges and Prospects

Summary Report, 2018

Floods spread across trans-border in South Asia. There exist early warning systems within the cou... more Floods spread across trans-border in South Asia. There exist early warning systems within the countries at national and community levels and some practices of exchanging flood information at cross-border level. However, on trans-border scale, systematic evaluation of such community based cross-border flood EWS is lacking. Lessons from existing initiatives, though in small areas, can help scale up and scale out disaster risk management at trans-border level. At the same time, it is necessary to understand the institutional and operational challenges and constraints of EWS across borders such that it can be made further effective. This paper tries to explore opportunities and constraints for more effective flood EWS at trans-border scale and bring information to the notice of the policy makers in the region.

Research paper thumbnail of Study of Early Flood Warning Dissemination System in Bangladesh

Research paper thumbnail of Impact of Climate Change on Rainfall in North western Part of Bangladesh by Multi-model Ensemble using LARS-WG

Research paper thumbnail of Seasonal and Annual Variations of Rainfall Pattern in the Jamuneswari Basin, Bangladesh

Research paper thumbnail of Regional Extreme Rainfall Estimation of Bangladesh for flood design using L-moment Technique

Research paper thumbnail of Development of Jamuneswari Flood Forecasting System ‐ A Case Study in Bangladesh

A flood forecasting system has been developed using MIKE11 river-modeling software modules rainfa... more A flood forecasting system has been developed using MIKE11 river-modeling software modules rainfall-runoff (RR) [or Nedbor-Afstromnings model (NAM)], hydrodynamic (HD), and flood forecasting (FF) for the Jamuneswari river catchment of the northwestern part of Bangladesh. The 3-arc second shuttle radar topography mission (SRTM) digital elevation model (DEM) version 4.0 and the D8 method of ArcGIS9.3 have been used to delineate river network and catchment bounderies, which are required for MIKE 11 model setup. The European Centre for Medium-Range Weather Forecast (ECMWF) model-forecasted rainfall data have been used in MIKE 11 NAM-HD modules to increase the forecast lead time to 72 h. Errors in forecast results have been assessed by computing efficiency index, coefficient of correlation, volume error, peak error, and peak time error. Integration of the MIKE 11 HD module with the MIKE NAM module has improved the result by 10.84% for efficiency index, 20.7% for volume error, 25.61% for peak error, and 95.83% for peak time error. The MIKE 11 FF module was applied along with the integrated MIKE 11 NAM and HD modules to minimize error in the forecasted result. The efficiency index, volume error, peak error, and peak time error of the hindcast result, before updating by MIKE 11 FF, were calculated as 0.803, 0.505%, 2.58%, and 2 h, After updating by the MIKE 11 FF module, results were calculated as 0.989, −0.005%, 0.158%, and 0.00 h. Inputting the ECMWF-forecasted rainfall, the updated forecasting system determined the efficiency index, volume error, peak error, and peak time error as 0.92, 0.008%, 0.87%, and 0.00% for 24 h; 0.87, 0.231%, 0.507%, and 0.00 h for 48 h; and 0.84, 0.519%, and 0.000 h for 72 h. The steps for developing the flood forecasting system described in this case study are generic and can be applied under similar geographic conditions in other locations worldwide. In Bangladesh, decision makers will have more time to develop responses to imminent the flooding as a result of the increased forecast lead time provided by the analysis method described in this case study.

Research paper thumbnail of Saline Water Intrusion in Coastal Bangladesh

Research paper thumbnail of An analysis of flood control in eastern South Asia

Research paper thumbnail of Assessment of Flood Hazard Vulnerability of Tarapur Union of Gaibandha by using Geoinformatics

Research paper thumbnail of Rainfall Statistics Evaluation of TRMM and ECMWF model Data over Bangladesh for Flood Related Studies

Research paper thumbnail of Design Flow and Stage Computations in the Teesta River, Bangladesh Using Frequency Analysis and MIKE 11 Modeling

Research paper thumbnail of Limitation of Application of 90m SRTM DEM in Hydrological Application/Analysis using D8 method in the Flat Terrain of Bangladesh

Research paper thumbnail of Approach of Early Flood Warning System for Urban Flood Risk Mitigation

Research paper thumbnail of Geo-informatics approach for augmentation of lead time of flood forecasting, Bangladesh Perspective

Research paper thumbnail of Advancement of Flood Forecasting and Warning System in Bangladesh for Risk Management - Present and Future

Research paper thumbnail of Planning of Structural Measure for Flood Damage Mitigation using Hydro-Geoinformatics - A case study from Bangladesh

Research paper thumbnail of Irrigation Performance Improvement By Non-Structural Measures — A Case Study From Bangladesh

Research paper thumbnail of Preparation of Irrigation Management Plan Using DSS - A Case Study from Bangladesh

Research paper thumbnail of Impact of Salinity Intrusion in the Inland Coast of Bangladesh

Research paper thumbnail of Salinity intrusion and its management aspects in Bangladesh

Research paper thumbnail of TRANS-BORDER FLOOD EARLY WARNING SYSTEM IN SOUTH ASIA-Practices, Challenges and Prospects

Report, 2018

South Asia is a disaster hotspot zone with annual episodes of several hazards causing huge loss o... more South Asia is a disaster hotspot zone with annual episodes of several hazards causing huge loss of lives and properties across the region. Among hazards, flood ranks the highest in terms of human casualties, loss and damage of property, and the number of households affected each year. Despite being an annual phenomenon and common problem for the countries of South Asia, EWS interventions for floods have hardly gone beyond the country’s borders. This study tries to document the current practices of trans-border EWS across South Asia, primarily between Tibet Autonomous Region (TAR) China–Nepal, Nepal–India, and India–Bangladesh, together with the challenges and opportunities for promoting trans-border EWS, in context of larger disaster risk reduction initiatives across the region.