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Use of GIS and BIM for the integration of tunnel designand construction process in conventional tunneling

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Underground Space 2024年第3期16卷 261-278页

作者： Mansour Hedayatzadeh Jamal Rostami Vasilis Sarhosis Mojtaba Nematollahi Nabiollah Hajiantilaki Abouzar Shafiepour University of Leeds Leeds LS29JTUK Colorado School of Mines GoldenCO 80401USA University of Minho Guimaraes 4800-058Portugal General Mechanic Company Tehran ***Iran Ettehadrah Consulting Engineers Tehran Q83GVWVIran

This paper presents the development of a framework for the parametric design of tunnels using geographic information system (GIS)mapping and building information modelling (BIM). According to the framework, a parametric representation of each system component (e.g., layers of rock mass, size of excavation, topography, fault geometry, primary lining, secondary lining, rock bolts, etc.) can beincorporated in the GIS model with high levels of detail and used for the automatic generation of numerical models for the design oftunnel construction. This parametric evaluation allows the designer to consider several levels of detail for each component, for the effi-cient design and process optimization in conventional tunneling. information between parametric analysis and numerical simulations canbe freely exchanged with significantly reduced computational effort while results can be exported into BIM. It is anticipated that the proposed framework could lead to a comprehensive, yet efficient analysis of complex conventional tunneling project using parametric evaluations at the early design stages.

关键词： geographic information system Building information modelling Conventional tunneling Numerical simulations Parametric analysis

Problems on the application of geographic information systems to urban environmental management

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Journal of Chongqing University 2002年第2期1卷 50-53页

作者：何强 LONG Tengrui 等 CollegeofUrbanConstructionandEnvironmentalEngineering ChongqingUniversityChongqing400045P.R.China

geographic information systems (GIS) are a widely used tool in urban planning and management. More and more cities and decision-makers require its attributes of promptness, precision and visualization. But the application of GIS in urban environmental management is still a new field and relevant researches are getting on tardily. As a subsystem of GIS, an urban environmental management geographic information system (UEMGIS) should be a complex multi-discipline and multi-objective tool to perform quantitative multi-dimension analysis and to transfer the results into an expression legible to an ordinary user. It should be a dynamic system of prompt functions based on upgradable databases, and be composed of many subsystems respectively specialized in items about water, air, waste and noise as well as relative standards and regulations. However, existing UEMGISs mostly rely on the basic GIS too much to design the actual requirements of applications and managements in themselves, and the unavailability of sufficient fundamental data has retarded their improvement. In the design of a UEMGIS, the standardization of data classification should be taken into consideration to make the data exchangeable and shareable among its subsystems and within every subsystem, and the applicable error limits for input data should be defined in accordance with the user抯 required precision of data out. Data acquisition can be easy and quick if remote sensing, global positioning system (GPS) and other technologies are combined with GIS. Rapidly progressing information technologies have been giving a bright prospect for the melioration of UEMGIS that will have great potential and wide application in environmental conservation.

关键词： geographic information system urban environmental management global positioning system

Assessing effectiveness of nature-based solution with big earth data:60 years mangrove plantation program in Bangladesh coast

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Ecological Processes 2023年第1期12卷 165-192页

作者： Riffat Mahmood Li Zhang Guoqing Li Key Laboratory of Digital Earth Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100094China College of Resources and Environmental Studies University of Chinese Academy of SciencesBeijing 100094China Department of Geography and Environment Faculty of Life and Earth SciencesJagannath UniversityDhaka 1100Bangladesh International Research Center of Big Data for Sustainable Development Goals Beijing 100094China

Background In the climate change context,nature-based solution(NBS)is considered one of the effective tools to increase the resilience of socio-ecological *** concept coincides with the government’s attempts of afforestation and reforestation programs that have been going on for 60 years in *** study,therefore,envisaged understanding how NBS(mangrove afforestation and reforestation)works to promote climate change resilience through the synthetization of remote sensing-based big earth data,statistical tools,and *** study took the entire coast of Bangladesh except for Sundarbans Reserve Forest and rolled back to 1962 to work on 60 years’time series *** CORONA satellite imagery along with Landsat satellite imagery was used,which is the first-ever attempt in the remote sensing-based ecosystem work in *** The study’s main innovation is to spatially establish the effectiveness of the *** study critically assessed and estimated stable lands and their socio-economic benefits as part of the effectiveness of the *** part of the NBS-derived benefits in the context of climate change,it estimated the sequestrated carbon in mangrove forests.A significant positive relationship was observed between the increase of mangroves and stable *** about 448,011 ha of agricultural land was stabilized due to the NBS intervention whose economic value is 18,837 million *** addition,29,755.71 kt of carbon have been sequestrated due to NBS *** The concept of NBS is still in the development stage and very little or no work has been done so far in measuring and labeling the effectiveness of the ***,our study can innovatively contribute to the scientific community to show the effectiveness of the NBS in three domains(social,economic and ecological)in the changing climatic scenario.

关键词： Nature-based solution(NBS) Mangrove afforestation program Coast geographic information system Remote sensing CORONA satellite image Land stabilization Sequestrated carbon Climate change

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Landfill site selection using multi cr iter ia decision making: Influential factors for comparing locations

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Journal of Environmental Sciences 2020年第7期32卷 170-184页

作者： Yashar Rezaeisabzevar Alireza Bazargan Behzad Zohourian School of Environment College of EngineeringUniversity of Tehran141785311 TehranIran Department of Engineering Ferdowsi University of Mashhad*** MashhadIran

Although a lot of research has focused on energy recovery and recycling of valuable materials from wastes to reduce loads on landfills,landfilling is still an inseparable part of solid waste *** landfills potentially pose a risk to human health and the surrounding environment,landfill site selection is an important endeavor that has to be carried out with great *** a suitable location for landfills depends on several factors and is a complicated *** this paper,a comprehensive review of landfill site selection methods,with an emphasis on multi criteria decision making(multiple criteria decision analysis)has been *** indicate that the most frequently used methods are weighted linear combination(WLC),ordered weighted averaging(OWA),analytic hierarchy process(AHP),fuzzy analytic hierarchy process(F-AHP),TODIM,fuzzy TODIM,analytic network process(ANP),fuzzy-analytic network process(F-ANP),and grey systems theory,each of which is *** most widely used factors for selecting a landfill site are groundwater depth,surface water vicinity,elevation,land slope,soil permeability,soil stability,flooding susceptibility,lithology and stratification,faults,land use type,nearby settlements and urbanization,cultural and protected site vicinity,wind direction,roads,railways,proximity to building materials,pipelines and powerlines,and proximity to airports.

关键词： Sustainable urban planning Waste management Sanitary landfills Landfill siting geographic information system

Spatial landslide susceptibility assessment using machine learning techniques assisted by additional data created with generative adversarial networks

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Geoscience Frontiers 2021年第2期12卷 625-637页

作者： Husam A.H.Al-Najjar Biswajeet Pradhan Centre for Advanced Modelling and Geospatial information systems(CAMGIS) Faculty of Engineering and ITUniversity of Technology Sydney2007NSWAustralia Department of Energy and Mineral Resources Engineering Sejong UniversityChoongmu-gwan209Neungdong-roGwangin-guSeoul05006Republic of Korea Center of Excellence for Climate Change Research King Abdulaziz UniversityP.O.Box 80234Jeddah21589Saudi Arabia Earth Observation Center Institute of Climate ChangeUniversiti Kebangsaan Malaysia43600UKMBangiSelangorMalaysia

In recent years,landslide susceptibility mapping has substantially improved with advances in machine ***,there are still challenges remain in landslide mapping due to the availability of limited inventory *** this paper,a novel method that improves the performance of machine learning techniques is *** proposed method creates synthetic inventory data using Generative Adversarial Networks(GANs)for improving the prediction of *** this research,landslide inventory data of 156 landslide locations were identified in Cameron Highlands,Malaysia,taken from previous projects the authors worked ***,slope,aspect,plan curvature,profile curvature,total curvature,lithology,land use and land cover(LULC),distance to the road,distance to the river,stream power index(SPI),sediment transport index(STI),terrain roughness index(TRI),topographic wetness index(TWI)and vegetation density are geo-environmental factors considered in this study based on suggestions from previous works on Cameron *** show the capability of GANs in improving landslide prediction models,this study tests the proposed GAN model with benchmark models namely Artificial Neural Network(ANN),Support Vector Machine(SVM),Decision Trees(DT),Random Forest(RF)and Bagging ensemble models with ANN and SVM *** models were validated using the area under the receiver operating characteristic curve(AUROC).The DT,RF,SVM,ANN and Bagging ensemble could achieve the AUROC values of(0.90,0.94,0.86,0.69 and 0.82)for the training;and the AUROC of(0.76,0.81,0.85,0.72 and 0.75)for the test,*** using additional samples,the same models achieved the AUROC values of(0.92,0.94,0.88,0.75 and 0.84)for the training and(0.78,0.82,0.82,0.78 and 0.80)for the test,*** the additional samples improved the test accuracy of all the models except *** a result,in data-scarce environments,this research showed that utilizing GANs to generate supplementary samples is

关键词： Landslide susceptibility Inventory Machine learning Generative adversarial network Convolutional neural network geographic information system

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

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Geoscience Frontiers 2021年第2期12卷 857-876页

作者： 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 Department of Geography Faculty of ScienceAligarh Muslim University(AMU)AligarhUP 202002India Department of Geography and Regional Development Faculty of Natural SciencesConstantine the Philosopher University in NitraTrieda A.Hlinku 194901 NitraSlovakia Research Institute of the University of Bucharest 90-92 Sos.Panduri5th DistrictBucharest 050663Romania National Institute of Hydrology and Water Management București-Ploiești Road97E1st DistrictBucharest 013686Romania Thuyloi University 175 Tay SonDong DaHanoiViet Nam Institute of Research and Development Duy Tan UniversityDanang 550000Viet Nam Faculty of Environmental and Chemical Engineering Duy Tan UniversityDanang 550000Viet Nam Department of Geography University of Defence11000 BelgradeSerbia Sustainable Management of Natural Resources and Environment Research Group Faculty of Environment and Labour SafetyTon Duc Thang UniversityHo Chi Minh CityViet Nam

Hazards and disasters have always negative impacts on the way of *** is an overwhelming natural as well as man-made disaster that causes loss of natural resources and human properties throughout *** present study aimed to assess and compare the prediction efficiency of different models in landslide susceptibility in the Kysuca river basin,*** this regard,the fuzzy decision-making trial and evaluation laboratory combining with the analytic network process(FDEMATEL-ANP),Naïve Bayes(NB)classifier,and random forest(RF)classifier were ***,a landslide inventory map was produced with 2000 landslide and nonlandslide points by randomly dividedwith a ratio of 70%:30%for training and testing,*** 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 *** ReliefF methodwas considered for determining the significance of selected conditioning factors and inclusion in the model ***,the landslide susceptibility maps(LSMs)were generated using the FDEMATEL-ANP,Naïve Bayes(NB)classifier,and random forest(RF)classifier ***,the area under curve(AUC)and different arithmetic evaluation were used for validating and comparing the results and *** 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%).

关键词： Landslide susceptibility modeling geographic information system Fuzzy DEMATEL Analytic network process Naïve Bayes classifier Random forest classifier

Spatial Distribution of Archaeological Sites in Lakeshore of Chaohu Lake in China Based on GIS

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Chinese geographical Science 2009年第4期19卷 333-340页

作者： GAO Chao WANG Xinyuan JIANG Tong JIN Gaojie State Key Laboratory of Lake Science and Environment Nanjing Institute of Geography and Limnology Chinese Academy of Sciences Nanjing 210008 China College of Territorial Resources and Tourism Anhui Normal University Wuhu 241000 China Centre on Climate Change China Meteorological Administration Beijing 100081 China Graduate University of Chinese Academy of Sciences Beijing 100049 China

There are about 19 Neolithic Age sites and 120 Shang-Zhou dynasties sites in the western lakeshore of Chaohu Lake,Anhui Province,*** on sites data,topographic data,drainage maps,administrative maps and SPOT5 remote sensing data,spatial analysis methods were introduced into the archaeology of Chaohu Lake Basin with geographic information system(GIS).The spatial analysis methods include:1) Point Density Analysis with density model to acquire the shift of the sites;2) Distance Analysis to reveal the spatial structure of the sites;3) 3D Analysis based on Digital Elevation Model to get micro-geomorphologic features of the sites;and 4) Buffer Analysis to discover the relationship between the sites and *** results indicate that the archaeological sites spread from the western lakeshore of Chaohu Lake gradually to the northwest,later to the south,and then symmetrically *** by productive forces and other factors,ancient people preferred to reside in those places near water,or in plain and fertile land,which resulted in linear and decentralized distribution of the sites,and presented such disciplines as river valley directivity,terrace directivity and soil *** paper indicates that the distribution of archaeological sites was influenced earlier by natural elements and later by human elements in the study *** research is important for the integration of GIS and archaeology.

关键词： archaeological site geographic information system spatial analysis Chaohu Lake

Landslide Susceptibility Mapping and Evaluation along a River Valley in China

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Acta Geologica Sinica(English Edition) 2012年第4期86卷 1022-1030页

作者： LI Yanrong Adnan AYDIN XIANG Xiqiong JU Nengpan ZHAO Jianjun Ahmet OZBEK The University of Hong Kong.Hong Kong China The University of Mississippi OxfordUSA Key Laboratory of Karst Environment and Geohazard Prevention(Guizhou University) State Key Laboratory of Geohazard Prevention and Geoenvironment Protection(Chengdu University of Technology) The University of Kahramanmaras Sutcu Imam K.MarasTurkey

Landslide susceptibility evaluation at regional scale is commonly performed based dominantly on the analysis of geological and geomorphological conditions of historical landslide cases. The main content of this type of evaluation covers identifying key casual factors, their critical groupings and relative importance. The present study demonstrates an application of the above concept to a 90 km long segment of Jinsbajiang River valley in China. Correlations of landslide occurrence with potential causative factors are derived according to interpretation of field investigation. Lithology, orientation of bedding planes, slope angle, stream action, rainfall and earthquake intensity are selectively recognized as identifiable/measurable causative factors to establish a factor domain. The membership grades, for field values of quantitative factors, to the susceptibility classes are determined based on the construction of fuzzy sets, while those for descriptive factors are assigned from a fuzzy score table. The analytic hierarchy process （AHP） is adopted for assigning weights to each individual factor. Subsequently, the evaluation is implemented in a GIS program IDRISI, where four classes of landslide susceptibility are identified and delineated in the subject area. The approach described in the present paper showed consistence with the nature and availability of data for evaluating landslide susceptibility at regional scale. The methodology presented can be effectively employed by relevant authorities to identify risky areas for dislocating major infrastructural project, and develop management strategies for land use.

关键词： Analytic Hierarchy Process (AHP) Fuzzy Set geographic information system landslide susceptibility

Numerical simulation analysis of wind field above pavement surface in different landforms by computational fluid dynamics approach

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Journal of Traffic and Transportation Engineering(English Edition) 2024年第3期11卷 559-573页

作者： Jian Ouyang Zhao Jiang Leiyu Ye Jing Li Peng Cao School of Civil Engineering and Architecture Hainan UniversityHaikou 570000China School of Transportation and Logistics Dalian University of TechnologyDalian 116024China Hexagon Manufacturing Intelligence(Qingdao)Co. Ltd.Qingdao 266000China China Tower Co. Ltd.Dalian BranchDalian 116024China Faculty of Architecture Civil and Transportation EngineeringBeijing University of TechnologyBeijing 100124China

The temperature and moisture of the pavement structure can be greatly influenced by the wind speed above pavement *** wind speed above pavement surface not only is dominated by the wind speed of atmosphere,but also it is highly related to the landform and buildings around ***,currently there are no studies about the wind field above pavement surface in consideration of the effect of the landform and buildings.A simulation method,which is combined with geographic information system(GIS),wind data from meteorological observatory and computational fluid dynamics(CFD)software,is employed to study the effect of the landform and the wind speed of atmosphere on the wind field above pavement *** cases are studied,including an urban road,a coastal road and a mountainous ***,the wind field distribution above road surface in different wind directions was studied in our *** indicate that the wind field above pavement surface can be greatly affected by the landforms,buildings and wind *** simulation method can provide reliable results for the wind field above pavement *** maximum relative errors between simulated and measured wind speed can be less than 20%in the analysis of the three *** is recommended that the CFD simulation method is a good tool to accurately know the wind field above pavement surface.

关键词： Wind field above pavement surface Computational fluid dynamics Landforms geographic information system Simulation