Based on Remote Sensing (RS), Geographic Information System (GIS), and combining Principal Component Analysis, this paper designed a numerical integrated evaluation model for mountain eco-environment on the base ...Based on Remote Sensing (RS), Geographic Information System (GIS), and combining Principal Component Analysis, this paper designed a numerical integrated evaluation model for mountain eco-environment on the base of grid scale. Using this model, we evaluated the mountain eco-environmental quality in a case study area-the upper reaches of Minjiang River, and achieved a good result, which accorded well with the real condition. The study indicates that, the integrated evaluation model is suitable for multi-layer spatial factor computation, effectively lowing man's subjective influence in the evaluation process; treating the whole river basin as a system, the model shows full respect to the circulation of material and energy, synthetically embodies the determining impact of such natural condition as water-heat and landform, as well as human interference in natural eco-system; the evaluation result not only clearly presents mountainous vertical distribution features of input factors, but also provides a scientific and reliable thought for quantitatively evaluating mountain eco-environment.展开更多
The scope for environmental analysis constitutes a critical factor in recent times, yet demanding importance due to the concerns of environmental sustainability. The study aims at analysing the prospects of implementi...The scope for environmental analysis constitutes a critical factor in recent times, yet demanding importance due to the concerns of environmental sustainability. The study aims at analysing the prospects of implementing an integrated GIS and spatial configuration for environment analysis in Israel. The study adopts an empirical study design to consider the multi-dimensional utilisation of an integrated GIS and spatial configuration for environment analysis. The study considers the materials and methods of the GIS system modelling as well, consisting of satellite imagery, GPS-based location identification, Esri ArcGIS, CyberGIS, and BIM integration to present a comprehensive system for the environmental analysis of Israel. The results of the study indicate that the threats of natural disasters and climate change can be identified based on the synergy of spatial data within an integrated GIS modelling. In many cases, it is also used in collaboration with a BIM to ensure that planning and decision-making processes are sustainable, economically beneficial and environmentally considered. Thus, it is concluded that environmental analysis through the projection of visually represented satellite imagery within an integrated GIS with spatial configurations in Israel can minimise the conflicts between the infrastructural designs, human activities, and environmental sustainability.展开更多
Maramures Land is mostly characterized byagricultural and forestry land use due to its specificconfiguration of topography and its specific pedoclimaticconditions. Taking into consideration the trend of the lastcentur...Maramures Land is mostly characterized byagricultural and forestry land use due to its specificconfiguration of topography and its specific pedoclimaticconditions. Taking into consideration the trend of the lastcentury from the perspective of land management, adecrease in the surface of agricultural lands to theadvantage of built-up and grass lands, as well as anaccelerated decrease in the forest cover due to uncontrolledand irrational forest exploitation, has become obvious. Thefield analysis performed on the territory of Maramures Land has highlighted a high frequency of two geomor-phologic processes - landslides and soil erosion - whichhave a major negative impact on land use due to their rateof occurrence. The main aim of the present study is the GISmodeling of the two geomorphologic processes, determin-ing a state of vulnerability (the USLE model for soilerosion and a quantitative model based on the morpho-metric characteristics of the territory, derived from the HG.447/2003) and their integration in a complex model ofcumulated vulnerability identification. The modeling of therisk exposure was performed using a quantitative approachbased on models and equations of spatial analysis, whichwere developed with modeled raster data structures andprimary vector data, through a matrix highlighting thecorrespondence between vulnerability and land useclasses. The quantitative analysis of the risk was performedby taking into consideration the exposure classes asmodeled databases and the land price as a primaryalphanumeric database using spatial analysis techniquesfor each class by means of the attribute table. The spatialresults highlight the territories with a high risk to presentgeomorphologic processes that have a high degree ofoccurrence and represent a useful tool in the process ofspatial planning.展开更多
To develop a better approach for spatial evaluation of drinking water quality, an intelligent evaluation method integrating a geographical information system(GIS) and an ant colony clustering algorithm(ACCA) was used....To develop a better approach for spatial evaluation of drinking water quality, an intelligent evaluation method integrating a geographical information system(GIS) and an ant colony clustering algorithm(ACCA) was used. Drinking water samples from 29 wells in Zhenping County, China, were collected and analyzed. 35 parameters on water quality were selected, such as chloride concentration, sulphate concentration, total hardness, nitrate concentration, fluoride concentration, turbidity, pH, chromium concentration, COD, bacterium amount, total coliforms and color. The best spatial interpolation methods for the 35 parameters were found and selected from all types of interpolation methods in GIS environment according to the minimum cross-validation errors. The ACCA was improved through three strategies, namely mixed distance function, average similitude degree and probability conversion functions. Then, the ACCA was carried out to obtain different water quality grades in the GIS environment. In the end, the result from the ACCA was compared with those from the competitive Hopfield neural network(CHNN) to validate the feasibility and effectiveness of the ACCA according to three evaluation indexes, which are stochastic sampling method, pixel amount and convergence speed. It is shown that the spatial water quality grades obtained from the ACCA were more effective, accurate and intelligent than those obtained from the CHNN.展开更多
The objective of this work is to evaluate the coverage of the sports facilities at Oeiras Municipality,near Lisbon,in Portugal,identifying the well-served areas and those with deficit coverage,according to the nationa...The objective of this work is to evaluate the coverage of the sports facilities at Oeiras Municipality,near Lisbon,in Portugal,identifying the well-served areas and those with deficit coverage,according to the national norms for sports facilities programming and characterization,based on a self methodology,in a geographic information system(GIS)environment.For the deficit covered areas,a multicriteria analysis was developed,based on the established national criteria,which allow the identification and prioritization of interventioned areas for sports facilities.The results obtained by the application of this tool enable more informed and more detailed knowledge of the Oeiras Municipality sports supply,providing essential information for decision making in the planning of sports facilities.展开更多
地理信息系统(Geographic Information System,GIS)技术通过信息系统及实地的地理数据勘察来准确生成城市的地理模型,从而帮助智慧城市建设过程中能够进行土地资源、环境资源、交通资源等的有效管理,为有效展开城市规划建设提供决策和...地理信息系统(Geographic Information System,GIS)技术通过信息系统及实地的地理数据勘察来准确生成城市的地理模型,从而帮助智慧城市建设过程中能够进行土地资源、环境资源、交通资源等的有效管理,为有效展开城市规划建设提供决策和管理的数据服务。以GIS技术作为研究对象,分析了GIS技术在智慧城市建设项目中的应用状况,介绍了GIS技术的应用优势,列举多项核心应用场景,详细阐述了GIS技术在智慧城市建设过程中的应用要点。旨在推动GIS技术与智慧城市建设体系深度融合,从而合理、科学地分配城市土地资源,达到智慧城市的建设目的。展开更多
文摘Based on Remote Sensing (RS), Geographic Information System (GIS), and combining Principal Component Analysis, this paper designed a numerical integrated evaluation model for mountain eco-environment on the base of grid scale. Using this model, we evaluated the mountain eco-environmental quality in a case study area-the upper reaches of Minjiang River, and achieved a good result, which accorded well with the real condition. The study indicates that, the integrated evaluation model is suitable for multi-layer spatial factor computation, effectively lowing man's subjective influence in the evaluation process; treating the whole river basin as a system, the model shows full respect to the circulation of material and energy, synthetically embodies the determining impact of such natural condition as water-heat and landform, as well as human interference in natural eco-system; the evaluation result not only clearly presents mountainous vertical distribution features of input factors, but also provides a scientific and reliable thought for quantitatively evaluating mountain eco-environment.
文摘The scope for environmental analysis constitutes a critical factor in recent times, yet demanding importance due to the concerns of environmental sustainability. The study aims at analysing the prospects of implementing an integrated GIS and spatial configuration for environment analysis in Israel. The study adopts an empirical study design to consider the multi-dimensional utilisation of an integrated GIS and spatial configuration for environment analysis. The study considers the materials and methods of the GIS system modelling as well, consisting of satellite imagery, GPS-based location identification, Esri ArcGIS, CyberGIS, and BIM integration to present a comprehensive system for the environmental analysis of Israel. The results of the study indicate that the threats of natural disasters and climate change can be identified based on the synergy of spatial data within an integrated GIS modelling. In many cases, it is also used in collaboration with a BIM to ensure that planning and decision-making processes are sustainable, economically beneficial and environmentally considered. Thus, it is concluded that environmental analysis through the projection of visually represented satellite imagery within an integrated GIS with spatial configurations in Israel can minimise the conflicts between the infrastructural designs, human activities, and environmental sustainability.
文摘Maramures Land is mostly characterized byagricultural and forestry land use due to its specificconfiguration of topography and its specific pedoclimaticconditions. Taking into consideration the trend of the lastcentury from the perspective of land management, adecrease in the surface of agricultural lands to theadvantage of built-up and grass lands, as well as anaccelerated decrease in the forest cover due to uncontrolledand irrational forest exploitation, has become obvious. Thefield analysis performed on the territory of Maramures Land has highlighted a high frequency of two geomor-phologic processes - landslides and soil erosion - whichhave a major negative impact on land use due to their rateof occurrence. The main aim of the present study is the GISmodeling of the two geomorphologic processes, determin-ing a state of vulnerability (the USLE model for soilerosion and a quantitative model based on the morpho-metric characteristics of the territory, derived from the HG.447/2003) and their integration in a complex model ofcumulated vulnerability identification. The modeling of therisk exposure was performed using a quantitative approachbased on models and equations of spatial analysis, whichwere developed with modeled raster data structures andprimary vector data, through a matrix highlighting thecorrespondence between vulnerability and land useclasses. The quantitative analysis of the risk was performedby taking into consideration the exposure classes asmodeled databases and the land price as a primaryalphanumeric database using spatial analysis techniquesfor each class by means of the attribute table. The spatialresults highlight the territories with a high risk to presentgeomorphologic processes that have a high degree ofoccurrence and represent a useful tool in the process ofspatial planning.
基金Projects(41161020,41261026) supported by the National Natural Science Foundation of ChinaProject(BQD2012013) supported by the Research starting Funds for Imported Talents,Ningxia University,China+1 种基金Project(ZR1209) supported by the Natural Science Funds,Ningxia University,ChinaProject(NGY2013005) supported by the Key Science Project of Colleges and Universities in Ningxia,China
文摘To develop a better approach for spatial evaluation of drinking water quality, an intelligent evaluation method integrating a geographical information system(GIS) and an ant colony clustering algorithm(ACCA) was used. Drinking water samples from 29 wells in Zhenping County, China, were collected and analyzed. 35 parameters on water quality were selected, such as chloride concentration, sulphate concentration, total hardness, nitrate concentration, fluoride concentration, turbidity, pH, chromium concentration, COD, bacterium amount, total coliforms and color. The best spatial interpolation methods for the 35 parameters were found and selected from all types of interpolation methods in GIS environment according to the minimum cross-validation errors. The ACCA was improved through three strategies, namely mixed distance function, average similitude degree and probability conversion functions. Then, the ACCA was carried out to obtain different water quality grades in the GIS environment. In the end, the result from the ACCA was compared with those from the competitive Hopfield neural network(CHNN) to validate the feasibility and effectiveness of the ACCA according to three evaluation indexes, which are stochastic sampling method, pixel amount and convergence speed. It is shown that the spatial water quality grades obtained from the ACCA were more effective, accurate and intelligent than those obtained from the CHNN.
基金I am grateful to the Oeiras City Council for making the road network and cartography of relief representation available.I thank the Sport Division of the Municipality of Oeiras for their collaboration in this project.This article was funded by FCT UID/AUR/04494/2019.
文摘The objective of this work is to evaluate the coverage of the sports facilities at Oeiras Municipality,near Lisbon,in Portugal,identifying the well-served areas and those with deficit coverage,according to the national norms for sports facilities programming and characterization,based on a self methodology,in a geographic information system(GIS)environment.For the deficit covered areas,a multicriteria analysis was developed,based on the established national criteria,which allow the identification and prioritization of interventioned areas for sports facilities.The results obtained by the application of this tool enable more informed and more detailed knowledge of the Oeiras Municipality sports supply,providing essential information for decision making in the planning of sports facilities.
文摘地理信息系统(Geographic Information System,GIS)技术通过信息系统及实地的地理数据勘察来准确生成城市的地理模型,从而帮助智慧城市建设过程中能够进行土地资源、环境资源、交通资源等的有效管理,为有效展开城市规划建设提供决策和管理的数据服务。以GIS技术作为研究对象,分析了GIS技术在智慧城市建设项目中的应用状况,介绍了GIS技术的应用优势,列举多项核心应用场景,详细阐述了GIS技术在智慧城市建设过程中的应用要点。旨在推动GIS技术与智慧城市建设体系深度融合,从而合理、科学地分配城市土地资源,达到智慧城市的建设目的。