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

Mahfuzur Rahman  Ningsheng Chen  Md Monirul Islam  Ashraf Dewan  Hamid Reza Pourghasemi  Rana Muhammad Ali Washakh  Nirdesh Nepal  Shufeng Tian  Hamid Faiz  Mehtab Alam  Naveed Ahmed 《地学前缘(英文版)》2021,12(3):101095

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 Bangladesh.The use of location-allocation models(LAMs) for evacuation in regard to flood victims is essential to minimize disaster risk.In 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) method.Performance of the MLMs and MCDM techniques were assessed considering the area under the receiver operating characteristic(AUROC) curve.Mathematical 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.  相似文献   

GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms     

Sk Ajim Ali  Farhana Parvin  Jana Vojteková  Romulus Costache  Nguyen Thi Thuy Linh  Quoc Bao Pham  Matej Vojtek  Ljubomir Gigović  Ateeque Ahmad  Mohammad Ali Ghorbani 《地学前缘(英文版)》2021,12(2):857-876

Hazards and disasters have always negative impacts on the way of life.Landslide is an overwhelming natural as well as man-made disaster that causes loss of natural resources and human properties throughout theworld.The present study aimed to assess and compare the prediction efficiency of different models in landslide susceptibility in the Kysuca river basin,Slovakia.In this regard,the fuzzy decision-making trial and evaluation laboratory combining with the analytic network process(FDEMATEL-ANP),Na?ve Bayes(NB)classifier,and random forest(RF)classifier were considered.Initially,a landslide inventory map was produced with 2000 landslide and nonlandslide points by randomly dividedwith a ratio of 70%:30%for training and testing,respectively.The geospatial database for assessing the landslide susceptibility was generated with the help of 16 landslide conditioning factors by allowing for topographical,hydrological,lithological,and land cover factors.The ReliefF methodwas considered for determining the significance of selected conditioning factors and inclusion in the model building.Consequently,the landslide susceptibility maps(LSMs)were generated using the FDEMATEL-ANP,Na?ve Bayes(NB)classifier,and random forest(RF)classifier models.Finally,the area under curve(AUC)and different arithmetic evaluation were used for validating and comparing the results and models.The results revealed that random forest(RF)classifier is a promising and optimum model for landslide susceptibility in the study area with a very high value of area under curve(AUC=0.954),lower value of mean absolute error(MAE=0.1238)and root mean square error(RMSE=0.2555),and higher value of Kappa index(K=0.8435)and overall accuracy(OAC=92.2%).  相似文献   

Evaluating scale effects and bearing portions in centrifuge modeling of helical anchors: sand     

Heshmati Rafsanjani  Ali Akbar  Salehzadeh  Hossein  Nuri  Hamed 《Acta Geotechnica》2021,16(9):2917-2932

Acta Geotechnica - Helical anchors are bearing elements that can resist uplift loads by a combination of shaft and helical plate bearing. The application of helical piles as offshore wind turbine...  相似文献   

Flood risk mapping and crop-water loss modeling using water footprint analysis in agricultural watershed,northern Iran     

Mohammadi  Maziar  Darabi  Hamid  Mirchooli  Fahimeh  Bakhshaee  Alireza  Torabi Haghighi  Ali 《Natural Hazards》2021,105(2):2007-2025

Natural Hazards - Spatial information on flood risk and flood-related crop losses is important in flood mitigation and risk management in agricultural watersheds. In this study, loss of water bound...  相似文献   

Role of land surface parameter change in dust emission and impacts of dust on climate in Southwest Asia     

Darvishi Boloorani  Ali  Najafi  Mohammad Saeed  Mirzaie  Saham 《Natural Hazards》2021,109(1):111-132

Natural Hazards - Spatial–temporal changes of land surface parameters (land cover change, net primary production, and vegetation phenology) affect the characteristics of atmospheric dust....  相似文献   

Urbanization and its impact on flood hazard: the case of Addis Ababa,Ethiopia     

Beshir  Agraw Ali  Song  Jaemin 《Natural Hazards》2021,109(1):1167-1190

Natural Hazards - Rapid urbanization has become and will continue to be an inevitable and inescapable phenomenon in the developing world. Unplanned expansion of cities and the impacts of climate...  相似文献   

Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster     

Afan  Haitham Abdulmohsin  Yafouz  Ayman  Birima  Ahmed H.  Ahmed  Ali Najah  Kisi  Ozgur  Chaplot  Barkha  El-Shafie  Ahmed 《Natural Hazards》2022,112(2):1527-1545

Natural Hazards - Due to the need to reduce the flooding disaster, river streamflow prediction is required to be enhanced by the aid of deep learning algorithms. To achieve accurate model of...  相似文献   

A systematized review exploring the map of publications on the health impacts of drought     

Mehdipour  Simin  Nakhaee  Nouzar  Zolala  Farzaneh  Okhovati  Maryam  Foroud  Afsar  Haghdoost  Ali Akbar 《Natural Hazards》2022,113(1):35-62

Natural Hazards - Climate change is likely to increase the risk of drought which impacts on health are not quite known well due to its creeping nature. This study maps the publications on the...  相似文献   

Seismic behavior of RC moment resisting structures with concrete shear wall under mainshock–aftershock seismic sequences     

Soureshjani  Omid Karimzade  Massumi  Ali 《Bulletin of Earthquake Engineering》2022,20(2):1087-1114

Bulletin of Earthquake Engineering - A structure may be subject to several aftershocks after a mainshock. In many seismic design provisions, the effect of the seismic sequences is either not...  相似文献   

Wavelet-Hilbert transform-based simulation of pulse-like ground motion     

Yazdani  Azad  Salimi  Mohammad-Rashid  Roshan-Miavagi  Ali 《Journal of Seismology》2022,26(5):949-965

In nonlinear dynamic structural analysis, a suite of pulse-like ground motions is required for the performance-based design of structures near active faults. The dissimilarity in the amplitude and frequency content of the earthquake time series referred to nonstationary properties in temporal and spectral, respectively. An approach is proposed based on the nonstationary properties of the far-field records and the seismological information in an event for simulating pulse-like records. The pulse-like earthquake time history is estimated via the superposition of the residual part of the earthquake with the estimated pulse. The wavelet-based Hilbert transform is utilized to characterize the nonstationary properties, the instantaneous amplitude, and frequencies of far-field records to model residual part. The effects of near-fault and pulse are estimated based on the seismological properties of the region. The validation of the procedure is indicated by comparing simulated time-series, response spectra, and Arias intensity with recorded pulse-like records in two different earthquakes in California; the M_w 6.7 1994 Northridge and the M_w 6.5 1979 Imperial valley.

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