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Location-allocation modeling for emergency evacuation planning with GIS and remote sensing:A case study of Northeast Bangladesh

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Geoscience Frontiers 2021年第3期12卷 169-185页

作者： Mahfuzur Rahman Ningsheng Chen mdMonirul Islam Ashraf dewan Hamid Reza Pourghasemi Rana Muhammad AliWashakh Nirdesh Nepal Shufeng Tian Hamid Faiz Mehtab Alam Naveed Ahmed Key Laboratory for Mountain Hazards and Earth Surface Process Institute of Mountain Hazards and Environment(IMHE)Chinese Academy of Sciences(CAS)Chengdu 610041China University of Chinese Academy of Sciences(UCAS) Beijing 100049China Department of Civil Engineering International University of Business Agriculture and Technology(IUBAT)Dhaka 1230Bangladesh School of Earth and Planetary Sciences Curtin UniversityKent StBentleyWA 6102Australia Department of Natural Resources and Environmental Engineering College of AgricultureShiraz UniversityShirazIran School of Architecture Neijiang Normal UniversityNeijiang 641100China Institute of Tibetan Plateau Research Chinese Academy of SciencesBeijing 100101China Global Institute for Interdisciplinary Studies Kathmandu 3084Nepal

This work developed models to identify optimal spatial distribution of emergency evacuation centers(EECs)such as schools,colleges,hospitals,and fire stations to improve flood emergency planning in the Sylhet region of northeastern *** use of location-allocation models(LAMs)for evacuation in regard to flood victims is essential to minimize disaster *** the first step,flood susceptibility maps were developed using machine learning models(MLMs),including:Levenberg-Marquardt back propagation(LM-BP)neural network and decision trees(DT)and multi-criteria decision making(MCDM)*** of the MLMs and MCDM techniques were assessed considering the area under the receiver operating characteristic(AUROC)*** approaches in a geographic information system(GIS)for four well-known LAM problems affecting emergency rescue time are proposed:maximal covering location problem(MCLP),the maximize attendance(MA),p-median problem(PMP),and the location set covering problem(LSCP).The results showed that existing EECs were not optimally distributed,and that some areas were not adequately served by EECs(i.e.,not all demand points could be reached within a 60-min travel time).We concluded that the proposed models can be used to improve planning of the distribution of EECs,and that application of the models could contribute to reducing human casualties,property losses,and improve emergency operation.

关键词： Natural disasters Emergency evacuation centers Flooding Machine learning Multi-criteria decision making Location-allocation model

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Flooding and its relationship with land cover change, population growth, and road density

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Geoscience Frontiers 2021年第6期12卷 16-35页

作者： Mahfuzur Rahman Chen Ningsheng Golam Iftekhar Mahmud md Monirul Islam Hamid Reza Pourghasemi Hilal Ahmad Jules Maurice Habumugisha Rana Muhammad Ali Washakh Mehtab Alam Enlong Liu Zheng Han Huayong Ni Tian Shufeng Ashraf dewan Key Laboratory for Mountain Hazards and Earth Surface Process Institute of Mountain Hazards and Environment(IMHE)Chinese Academy of Sciences(CAS)Chengdu 610041China University of Chinese Academy of Sciences(UCAS) Beijing 100049China Department of Civil Engineering International University of Business Agriculture and Technology(IUBAT)Dhaka 1230Bangladesh Academy of Plateau Science and Sustainability Xining 810016China Development Research Initiative Dhaka 1216Bangladesh Department of Natural Resources and Environmental Engineering College of AgricultureShiraz UniversityShiraz 71454Iran School of Architecture Neijiang Normal UniversityNeijiang 641100China Institute of Tibetan Plateau Research Chinese Academy of SciencesBeijing 100101China State Key Laboratory of Hydraulics and Mountain River Engineering College of Water Resource and HydropowerSichuan UniversityChengdu 610065China School of Civil Engineering Central South UniversityChangsha 410075China Chengdu Institute of Geology and Mineral Resources China Geological SurveyChina School of Earth and Planetary Sciences Curtin UniversityKent StBentleyWA 6102Australia

Bangladesh experiences frequent hydro-climatic disasters such as *** disasters are believed to be associated with land use changes and climate ***,identifying the factors that lead to flooding is *** study mapped flood susceptibility in the northeast region of Bangladesh using Bayesian regularization back propagation(BRBP)neural network,classification and regression trees(CART),a statistical model(STM)using the evidence belief function(EBF),and their ensemble models(EMs)for three time periods(2000,2014,and 2017).The accuracy of machine learning algorithms(MLAs),STM,and EMs were assessed by considering the area under the curve—receiver operating characteristic(AUC-ROC).Evaluation of the accuracy levels of the aforementioned algorithms revealed that EM4(BRBP-CART-EBF)outperformed(AUC>90%)standalone and other ensemble models for the three time periods ***,this study investigated the relationships among land cover change(LCC),population growth(PG),road density(RD),and relative change of flooding(RCF)areas for the period between 2000 and *** results showed that areas with very high susceptibility to flooding increased by 19.72%between 2000 and 2017,while the PG rate increased by 51.68%over the same *** Pearson correlation coefficient for RCF and RD was calculated to be *** findings highlight the significant association between floods and causative *** study findings could be valuable to policymakers and resource managers as they can lead to improvements in flood management and reduction in flood damage and risks.

关键词： Hydro-climatic disasters Machine learning algorithms Statistical model Ensemble model Relative change in flooding areas

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Assessment of Infant and Young Child Feeding Practices of Caregiver’s in Jashore City, Bangladesh

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Food and Nutrition Sciences 2020年第3期11卷 194-206页

作者： Afroza Sharmin Niaz Mahmud md. Jannatul Ferdaus M. N. A. Siddiqui md. Sidur Rahman Mahbubur Alam dewan Tanvir Ahmad Department of Nutrition and Food Technology Jashore University of Science & Technology Jashore Bangladesh BIRTAN Regional Station Jhenaidah Bangladesh Nutrition Department of Women Affairs Ministry of Women and Children Affairs Government of the Peoples Republic of Bang-ladesh Bangladesh

Since infant and young child feeding practices play an important role in ameliorating childhood nutrition, an exploratory and descriptive study has thus been conducted employing a previously developed questionnaire at Ad-din shisu Hospital, Jashore, Bangladesh to obtain better insights about the breastfeeding and complementary feeding practices among infant and young child feeding caregivers. Out of 260 babies, 54% were female and 46% were male. Nearly all caregivers were found having the idea that breast milk is the best food for newborn babies. Around 81.9% of caregivers think that breast milk contains all the nutrients the baby needs to flourish, but in case of protection from disease, only 18.1% of caregivers think that it protects the baby from certain diseases. Around 46.9% mothers practiced early initiation of breastfeeding and they offered breast milk to their newborn right away (within one hour) after delivery, 53.5% lactating mothers had proper knowledge about breastfeeding methods, 39.6% mothers never practiced burping after breastfeeding, 66.4% mothers had normal delivery, 33.6% mothers had caesarian section, 99% mothers offered colostrums to their babies and only 1% of them didn’t give the colostrums. Besides, 88.8% continued breastfeeding up to 24 months or more along with 83.8% caregivers starting complementary feeding from six months, 55.4% caregivers said baby’s immune system is less developed, so they get attacked by infection easily and 44.6% caregivers said “their tummies are vulnerable to infection”, and 48.8% of the caregivers followed the type of hygiene required. Our findings revealed information on the knowledge, attitude, and practices of the caregiver’s towards breastfeeding and complementary feeding.

关键词： Breastfeeding Complementary Feeding Infant and Young Child Caregivers

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Development and Forecasting Drought Indices Using SPI (Standardized Precipitation Index) for Local Level Agricultural Water Management

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Atmospheric and Climate Sciences 2021年第1期11卷 32-52页

作者： Motaleb Hossain Sarker Shamsuddin Ahmed md. Shadekul Alam Dilruba Begum Tariful Newaz Kabir Rifat Jahan md. Monwar-Ul Haq Syeda Tasbiha dewan Kabir Water Resources Management Division Center for Environmental and Geographic Information Services Dhaka Bangladesh Bangladesh Meteorological Department (Bmd) Dhaka Bangladesh

Drought is primarily an agricultural phenomenon that refers to conditions where plants are responsive to certain levels of moisture stress that affect both the vegetative growth and yield of crops. It occurs when supply of moisture stored in the soil is insufficient to meet the optimum need of a particular type of crop. Causes of drought in Bangladesh are related to climate variability and non-availability of surface water resources. While it may be possible to indicate the immediate cause of a drought in a particular location, it often is not possible to identify an underlying cause. Therefore, to improve all these services in favour of enhancing agricultural production and reducing food insecurity in Bangladesh, it is mandatory to develop an effective way for disseminating the SPI data indicating drought indices to farmers, and enhance drought and climate resilience. To develop future plan and policy in agricultural sector of Bangladesh, it is vital to understand the previous droughts events with accurate indicators. Since this study will contribute to the agricultural development of Bangladesh therefore there is an obvious need to understand the change of drought frequency all over Bangladesh using a standardized drought index. The main intention of this project is to prepare a proper baseline for forecasting drought indices using SPI data. So, the final outcome of this project would be a knowledge base where a proper forecasting tools and dissemination networks can be updated/developed for farmers.

关键词： SPI Drought Water Management Climate Adaptation

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