The Dhaka University Journal of Earth and Environmental Sciences最新文献

{"title":"Isolation, Characterization, Evaluation and Comparative Study of Beneficial Microorganisms among the Agricultural Soil, Saline Intruded Soil and Commercial Biofertilizers","authors":"Bipasha Sur, Md. Kawser Ahmed, Seema Rani, Md. Latiful Bari, M. J. Alam, Abdullah Al Mamun Siddiqui, Rupak Loodh","doi":"10.3329/dujees.v12i1.70463","DOIUrl":"https://doi.org/10.3329/dujees.v12i1.70463","url":null,"abstract":"Degradation of soil health is a growing concern as both human health and soil microbial community are directly related to this. One of the main hazards to soil deterioration in Bangladesh is soil salinization. In this study, the microbiological status of two commercial biofertilizers, an agricultural soil, and saline soil in Bangladesh were analyzed and compared. Five saline soil samples from various agricultural fields in Satkhira, two commercial biofertilizer samples, and one agricultural soil from Hazi Danesh Agricultural University were collected to carry out this work. The saline soil sample's physicochemical properties, such as pH and salinity, were examined. Saline soil had a salinity range of 0.17-1.60 ppm and a pH range of 6.20-7.22. Five beneficial bacteria, three types of food-borne pathogen indicators, three types of soil quality indicators, and one plant pathogen indicator bacterium were selected for the microbiological investigation. The microbial status of the five beneficial bacteria was observed; for Rhizobium, the range was not detected to 7.62 log CFU/g, for Azotobacter, it ranged from 3.11 log CFU/g to 5.72 log CFU/g, for phosphate-solubilizing bacteria, it ranged from 3.87 log CFU/g to 4.69 log CFU/g, and for Bacillus, it was not detected to 4.65 log CFU/g. The helpful bacteria Pseudomonas spp. and the plant pathogen inhibitor Trichoderma spp., which are deemed important markers for soil health, were found to be absent in all the samples. \u0000The Dhaka University Journal of Earth and Environmental Sciences, Vol. 12(1), 2023, P 29-40","PeriodicalId":225486,"journal":{"name":"The Dhaka University Journal of Earth and Environmental Sciences","volume":"27 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139527150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Depositional Environment and Reservoir Prospect Analysis of Barail Sandstone Exposed in the Northeastern Part of Bangladesh","authors":"Muhit Alam, M Mostafizur Rahman, M. Y. Gazi, J. H. Lupin, Mohammad Nazim Zaman","doi":"10.3329/dujees.v12i1.70557","DOIUrl":"https://doi.org/10.3329/dujees.v12i1.70557","url":null,"abstract":"The study characterized the Oligocene Barail sandstone in the Surma Basin from a reservoir perspective. Data were collected by direct field observations; rock samples were collected from outcrops for detailed sedimentological, petrographic, and geochemical analysis. Collected sedimentary logs are analyzed to delineate the facies associations, sandbody architecture, and depositional environment. A total of ten facies were identified, which were further grouped into three facies associations: FA1: Tidal-influenced multistorey channel-fill deposits, FA2: Fluvial multistorey channel-fill deposits, and FA3: Overbank deposits. Facies analysis suggests that the Barail sandstone was deposited in the tidal-influenced paralic to fluvial depositional settings, and channel body dimensions increase towards the top. A petrographic study shows that these sandstones are mostly litharenite (Q70F4L26) in type, and sediments were derived from quartzose recycled orogens. The average porosity of the sandstones is 16.9%; the pore spaces are of both primary and secondary origin and are mostly interconnected. Porosity distribution in the fluvial multistory channel-fill deposits (FA2)—the upper part of the sandstone succession, is less heterogeneous, while that in the tidal-influenced channel-fill deposits (FA1), occurs in the lower part is more heterogeneous. Both the depositional process and diagenesis influenced the porosity of Barail sandstones. Geochemical analysis suggests that the sandstones are chemically stable and moderately matured. The study demonstrates that the Barail sandstones may be a good petroleum reservoir.\u0000The Dhaka University Journal of Earth and Environmental Sciences, Vol. 12(1), 2023, P 69-88","PeriodicalId":225486,"journal":{"name":"The Dhaka University Journal of Earth and Environmental Sciences","volume":"60 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139527363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Causes of Deforestation and Degradation of Jhau (Casuarina equisetifolia) Plantation Along the Cox’s Bazar-Teknaf Sea Beach in Bangladesh","authors":"Mosa. Tania Alim Shampa, Mohima Sultana Mimi, Md Amanat Ullah, Mahmudul Hasan, Md Atikul Islam","doi":"10.3329/dujees.v12i1.70561","DOIUrl":"https://doi.org/10.3329/dujees.v12i1.70561","url":null,"abstract":"In this study, Jhau (Casuarina equisetifolia) plant degradation from the years 2006-2019 along the Cox’s Bazar-Teknaf sea beach has been conducted by remotely sensed satellite image analysis from the Google Earth platform. According to the research, roughly 16.39% of Jhau patches were lost between 2006 and 2010, 30.59% between 2010 and 2015, and 43.38% between 2015 and 2019. Deforestation in the Jhau forest has mostly been triggered by anthropogenic and natural factors. The anthropogenic causes that have been found in the current study region include structural development, road construction, water logging, and agricultural land expansion. Coastal erosion and new channel development are natural causes. Among the natural causes, on average, 65% of deforestation has occurred due to coastal erosion processes, and less is due to anthropogenic activities from the years 2006 to 2019. Among the locations where coastal deforestation has occurred, Charpara region and the Teknaf peninsula were found to have the most notable deforestation. The Teknaf peninsula is highly unstable, and the Jhau forest has been deforested every year due to this instability. The selection of vulnerable zones in these regions is highly needed and the selection of suitable locations for future Jhau plantations is very important to these regions.\u0000The Dhaka University Journal of Earth and Environmental Sciences, Vol. 12(1), 2023, P 123-134","PeriodicalId":225486,"journal":{"name":"The Dhaka University Journal of Earth and Environmental Sciences","volume":"17 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139527345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Review on Remote Sensing Based Forest Vegetation Health Assessment: Bangladesh Perspective","authors":"Nazmoon Nahar Sumiya, Mahbub Ul Hasan, Munira Nusrat, Md Saroar Hossain","doi":"10.3329/dujees.v12i1.70560","DOIUrl":"https://doi.org/10.3329/dujees.v12i1.70560","url":null,"abstract":"This paper aims to present a critical review of the published scientific papers that have addressed the issue of forest health in Bangladesh using remote sensing techniques. A systematic review approach has been followed in this study where all the available papers on the application of remote sensing to assess the forest health vegetation condition of Bangladesh were considered for review. That search resulted in the selection of 48 papers. The findings indicate that remote-sensing-based studies have focused mostly on forest cover mapping and change, and landcover change detection rather than assessing the overall health condition of those forests. Also, among the major forests of the country, most studies have been conducted on Mangrove (Sundarban) forests whereas the least number of studies were found for the forests in the Chittagong Hill Tracts Forests areas and those studies were mostly conducted after the Rohingya crisis. Landsat satellite products have been most extensively used for their broader temporal resolution and availability while a few studies have worked with other products like MODIS, Sentinel, SPOT, etc. The application of advanced classification approaches incorporating machine learning algorithms and ground validation has shown effectiveness for investigating the forest or overall ecosystem health in a more detailed way. Although the RS techniques are increasingly used to study the forests of Bangladesh, forest health-specific and indicator-based research is yet to be done which can ensure sustainable forest management. \u0000The Dhaka University Journal of Earth and Environmental Sciences, Vol. 12(1), 2023, P 107-121","PeriodicalId":225486,"journal":{"name":"The Dhaka University Journal of Earth and Environmental Sciences","volume":"57 25","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139527698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Capacity Assessment of Community Clinic (CC) as an Information and Support Hub during Future Outbreaks: Lessons Learnt from the COVID-19 Outbreak","authors":"Anika Samm A, A. S. M. M. Kamal, Abrar Hossain, Md Motahar Hossain, SM Kamrul Hassan, Hasina Jahan, T. Hayat, Tasnim Jabin Jui, S. F. Sifa, A. S. N. Awal","doi":"10.3329/dujees.v12i1.70555","DOIUrl":"https://doi.org/10.3329/dujees.v12i1.70555","url":null,"abstract":"The study delves into the potential of Community Clinics (CCs) in Bangladesh to function as crucial information and support hubs during pandemics and outbreaks. By examining both internal and external factors, including organizational structure, roles, responsibilities, infrastructure, skills, tools, existing organogram, government policies, and community clinic dynamics, the research assesses the capability of CCs in this role. Through a telephonic survey of 100 Community Health Care Providers (CHCP) and Key Informant Interviews (KII) with Community Based Health Care (CBHC) officials, valuable insights were gained. While the findings reveal that CCs may not be comprehensive treatment centers for pandemics, they can effectively serve as information and support hubs, aligning with their mandates. To enhance their efficiency in this role, upgrading the WASH sensitivity of CCs is recommended, along with other measures to improve their capacity during disease outbreaks. The study underscores the significance of recognizing CCs as vital assets in combating emerging health hazards, and strategic improvements can further strengthen their contributions in addressing public health challenges. \u0000The Dhaka University Journal of Earth and Environmental Sciences, Vol. 12(1), 2023, P 41-56","PeriodicalId":225486,"journal":{"name":"The Dhaka University Journal of Earth and Environmental Sciences","volume":"13 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139527449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Greenhouse Gas Emission Reduction through Electricity Generation from Solar Photovoltaic Systems: A Study in Dhaka","authors":"Nayeema Rashid, Md Humayun Kabir","doi":"10.3329/dujees.v12i1.70457","DOIUrl":"https://doi.org/10.3329/dujees.v12i1.70457","url":null,"abstract":"Though best provided with electricity, Dhaka, the capital city of Bangladesh, often experiences power outages while lacking at least 500 MW of electrical power. Given a massive shortage of electricity both in Dhaka and the country and the use of fossil fuels in power generation, the present study examines the potential of rooftop solar photovoltaics (SPVs) for electricity generation in the Dhaka Metropolitan Area (DMA) and the consequent greenhouse gas (GHG) emission reduction. It has been found that the roof area of DMA is 62 km2. Considering 50% of this area (31 km2), the application of SPVs can generate 9,454 GWh of electricity yearly or 25.8 GWh per day. Such generation can reduce GHG emissions by 4.3 MtCO2e/year, which is 26.7% of the NDC target from the power sector. The results of this study support the wide-scale application of rooftop SPVs throughout DMA.\u0000The Dhaka University Journal of Earth and Environmental Sciences, Vol. 12(1), 2023, P 1-8","PeriodicalId":225486,"journal":{"name":"The Dhaka University Journal of Earth and Environmental Sciences","volume":"47 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139526825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Empirical Approach Based Rainfall Threshold Estimation for Landslide Occurrence in Cox's Bazar District, Bangladesh","authors":"Ritu Roy, Dewan Mohammad Enamul Haque, S. F. Sifa, Sumya Tasnim, T. Mahmud, T. Hayat","doi":"10.3329/dujees.v11i1.63713","DOIUrl":"https://doi.org/10.3329/dujees.v11i1.63713","url":null,"abstract":"Rainfall threshold estimation empirically to forecast rainfall-induced landslide events provides crucial information to reduce landslide impact. The landslide events triggered by rainfall are common in Cox's Bazar district, especially during the monsoon season. Geological settings and climatic conditions make this area more landslide-prone leading to huge losses of lives and property. Establishing an effective early warning system based on a rainfall threshold value has become a top priority to save people's lives, the economy, and the environment. We have employed three empirical approaches to estimate rainfall thresholds. Intensity-Duration, Event-Duration, and Antecedent Rainfall thresholds are the most conventional rainfall methods to identify the lowest amount of rainfall that triggers landslide. The Intensity-Duration (ID) and Event-Duration (ED) rainfall threshold equations are calculated using a simple power-law curve. For 5% exceedance probability level ID defined as: T5: I = 3.63 D-0.1313 & ED as T5: E = 3.63 D0.8687. Similarly, for 1% exceedance probability level ID defined as: T1: I= 2.78 D-0.1313 & T1: E = 2.78 D0.8687 for ED. Both 1% and 5% rainfall threshold equations are the minimum rainfall threshold equations. Since the 5% exceedance probability threshold line delineates the lower end of all the observed data points for landslide events, it is considered the minimum threshold line for Cox's Bazar. According to the 5% exceedance probability level threshold equation, mean intensity of 2.39 mmh-1 or 57.4 mm cumulated rainfall in 24 hours is required to initiate a landslide event. Whereas, for longer duration events such as 120h, rainfall intensity of 1.93 mmh-1 or continuous rainfall of 232 mm appears to be sufficient in landslide initiation. There is a less than 5% chance of a landslide below this threshold limit. In the context of 3-day and 5-day antecedent rainfall thresholds, we found that a minimum of 130 mm in 72 h (3-day) and 210 mm in 120 h (5-day) could initiate a landslide event. We have compared our thresholds with a few global and local rainfall threshold estimates.\u0000The Dhaka University Journal of Earth and Environmental Sciences, Vol. 11(1), 2022: 81-94\u0000 ","PeriodicalId":225486,"journal":{"name":"The Dhaka University Journal of Earth and Environmental Sciences","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114371198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of Water Quality and Quantity in the Lakes of Dhaka Metropolitan City - Remote Sensing, Field and Laboratory Analyses","authors":"Fatima Nur Nabila, M. Mia, Md. Yousuf Gazi, M. Uddin, Md Nahid Al Montakim, M. Alam","doi":"10.3329/dujees.v11i1.63709","DOIUrl":"https://doi.org/10.3329/dujees.v11i1.63709","url":null,"abstract":"Lakes in the Dhaka city have been facing extreme deterioration both by quantity and quality due to rapid urban and population growth for several decades. The prime objective is to assess the spatiotemporal changes of water quality and water quantity of the Dhaka city lakes respectively using Sentinel 2B and Landsat satellite images. The study covers the major twelve lakes of the Dhaka city. The four seasonal water qualities such as chlorophyll-a concentration, trophic state index (TSI), Secchi disk depth (SDD) and turbidity were retrieved with the conventional algorithms using Sentinel 2B images. The results showed that the Uttara Park Lake reduced its area dramatically from 1972 to 2020 due to the rapid urbanization in this region. Although the Zoo Lakes areas increased more than three times but the Banani, Hatirjheel and Dhanmondi lakes reduced to about 60-75% from 1972 to 2020 due to the urbanization and filling up the lake’s area. On the other hand, Gulshan, Crescent and Ramna Lakes reduced their area slightly about 10-20% during the study period. The chlorophyll-a concentration from post to pre-monsoon, increased in six lakes (Uttara Park, Zoo North, Gulshan, Old Airport, Dhanmondi and Hatirjheel), declined in six lakes (Zoo South, Banani, Ramna, Uttara, Uttara South and Crescent) of Dhaka city. Although the TSI illustrated all lakes in the eutrophic states from post to pre-monsoon but the value of TSI increased in six lakes and declined six lakes of the twelve point samples within the retrieved spatial distribution of TSI using satellite images of Dhaka city. In case of Secchi depth, the SDD values declined from post-monsoon to pre-monsoon in all of the lakes, indicating the deteriorating water quality of the lakes. On the other hand, the turbidity values increased in all lakes of Dhaka city from post-monsoon to pre-monsoon. We observed pH values ranges from 7-9 in the lakes during the field works early March and May of 2021. The observed EC values of the lakes ranges from 148-730μs/cm and 130-690μs/cm respectively in winter and pre-monsoon seasons. None of the samples of the lakes meets the standard of dissolved oxygen (DO) collected in March, 2021, but Dhanmondi and Uttara Lake samples collected in May, 2021 meet the standard. Biological oxygen demand (BOD) value is extremely high and none of the samples meets the acceptable limit of BOD. Among the cations, only Hatirjheel, Gulshan, Uttara, Uttara South/W, Zoo South and North Lake exceeded the acceptable limit for K⁺. Among the anions, Hatirjheel, Gulshan, Banani, Uttara, Uttara South/W Lake exceed the standard for HCO3− and Hatirjheel, Gulshan, Banani, Old Airport, Uttara Park, Uttara South/W Lake exceed the standard limit for NO3−. Uttara Lake shows the maximum concentration of PO43− and does not meet the standard limit. All the samples meet the standard for Fe and Mn. The outputs of this study could be used to minimize the degradation of Dhaka city lakes both in terms of quantity and q","PeriodicalId":225486,"journal":{"name":"The Dhaka University Journal of Earth and Environmental Sciences","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131918918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Secondary Porosity Development in Bangladeshi Gas Reservoirs: A Case Study of the Fenchuganj Gas Field (Well no: 2)","authors":"J. H. Lupin, S. Islam, M. Solaiman","doi":"10.3329/dujees.v11i1.63710","DOIUrl":"https://doi.org/10.3329/dujees.v11i1.63710","url":null,"abstract":"The Fenchuganj gas field is located in Surma basin and is uniform throughout the whole southern area. This study deals with the development of secondary porosity of the gas bearing reservoir sandstone rocks with the microscopic analysis of the core sample rock slides from well 2 of Fenchuganj gas field. The study shows the secondary porosity was generated at the particular depths of 1479-1497 m, 2768-2783 m and 3615-3624 m of Fenchuganj well no.2. The study demonstrates that diagenetic parameters, such as compaction, pressure solution, and cementation, are not the only ones that affect reservoir quality. Other elements include the reservoir rock's chemical environment, acidic water infiltration or dissolution, the presence of any other secondary processes, etc. \u0000Acidic water intrusion may have acted as an agent in generation of these secondary porosities. On contrast, the rocks in 2190 m, 3424-3432 m and rest of 3615-3624 m depth, had lost its porosity by the adverse effects of compaction, cementation as well as pore pressure solution. The overall porosity of the rock samples F-2 (1479–1497 m), F-6 (2768–2783 m), and F-10b (3615–3624 m) is around (35–40%), (30–35%), and (20–25%), respectively, indicating excellent, very good, and good reservoir quality for rock slide F-2, F-6, and F-10b, respectively. Changing of chemical environment and consequent dissolution process may contribute to enhance the potentiality of reservoir rock. \u0000The Dhaka University Journal of Earth and Environmental Sciences, Vol. 11(1), 2022, P 43-52","PeriodicalId":225486,"journal":{"name":"The Dhaka University Journal of Earth and Environmental Sciences","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129444678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disaster Accountability Framework of Bangladesh: An Analysis of Strengths and Gaps","authors":"A. Kamal, SM Kamrul Hassan, Abu Hossain Muhammad Ahsan, Nazma Ahmed","doi":"10.3329/dujees.v11i1.63712","DOIUrl":"https://doi.org/10.3329/dujees.v11i1.63712","url":null,"abstract":"This research aims to critically analyze the manifestation of accountability issues in disaster related major policies of Bangladesh as well as its field level implications. For that purpose, five major policies related to the Disaster Risk Reduction (DRR) of Bangladesh have been meticulously selected and analyzed. Critical analysis of the policy contents with regard to a model accountability framework has been principally adopted to derive the insights. Key Informant Interview (KII) with experts in the relevant fields has been considered for empirical data collection on accountability practices. The findings reveal existence of well-articulated accountability principles implanted into the policy dictates alongside weak institutional arrangements and governance mechanism to implement them at the empirical level. However, the remarkable progress of Bangladesh in disaster risk management against the partially dysfunctional accountability framework seemingly takes place by reaping benefits from indigenous knowledge and community based adaptive practices. The policy makers need to better understand the institutional mechanisms as well as the community level practices for DRR and finally mainstream them in the policy making process. The findings will potentially serve as a standard assessment of the current status of disaster risk governance in Bangladesh.\u0000The Dhaka University Journal of Earth and Environmental Sciences, Vol. 11(1), 2022: 69-80\u0000 ","PeriodicalId":225486,"journal":{"name":"The Dhaka University Journal of Earth and Environmental Sciences","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132797924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}