Advanced Materials Research Vols. 518-523

Abstract: The rural users have little knowledge on the professional planning map. So current many professional mapping systems are not suitable for these users. In order to help the rural users make and use the planning map themselves, a quick mapping system on rural planning and relative mapping methods are proposed in this work. The two core methods are the generation and classification method on the map symbol of the rural features and the visual disposal method on the rural planning flow. These new methods depress the complexity of the mapping and planning disposal. Based on these methods, the users with low computer skills can make digital map and planning. A quick mapping system on rural planning is developed by integrating the new methods. The system provides four core functions, i.e. Protract the planning map of the rural features, Generate map symbol with a wizard, Customize the planning flow and Dispose the planning business by the flow and display the village with 3D scene. Many rural planning maps produced by the software indicates that the software can improve the management efficiency of village theme inform action with certain degree.

Abstract: Anthropogenic and natural aerosols are important atmospheric constituents that significantly contribute to the Earth’s radiation budget but remain uncertainties due to the poor understanding of aerosol properties and its direct effects on scattering and absoprtion of solar radiation and the ability of aerosols to stay in atmosphere for a very short time. Different types of aerosols, representing biomass burning, urban or continental aerosols, maritime aerosols and dust particles will give different characterization and classification of aerosol properties. The data used in this study was obtained from Aerosol Robotic Network (AERONET).Two parameters were used for aerosol analysis which are Aerosol Optical Depth (AOD) at four wavelengths (440, 500, 675 and 870nm) and Angstrom exponent (α) derived from a multispectral log linear.

Abstract: Information extraction is the prerequisite of remote sensing image segmentation, which is the key procedure of image analysis. In this paper hard C-means and fuzzy C-means is adopted for segmentation in remote sensing image to realize our road extraction. Firstly, we proposed k-means for image segmentation using non-supervised clustering, and we can achieve our aim finally. Meanwhile, SVM combined with Fuzzy C means was proposed and this model was implemented in remote sensing image segmentation to extract the road net. Finally the comparison with two proposed algorithm was carried out, and after experiment, SVM plus FCM model is much more accurate than k-means.

Abstract: The Kuroshio of the East China Sea (ECS-Kuroshio) is a strong current, which influence climate of China coast and East Asia. The ocean temperature changes with month, is a foundation to reveal the seasonal and interannual climate variabilities. Here, using “2009 World Ocean Atlas” and “2-Minute Gridded Global Relief depth Data”, developing three-dimensional volume-section visualization technique and analysis technology, temperature changes and heat exchanges monthly at ECS-Kuroshio are discussed. The results show that the heat exchange between the Kuroshio and ECS at surface got to maximum in March ~ May and to minimum in Aug ~ Sept, occurred mainly on the side near continental shelf of ECS, the largest areas were in northeast of Tokara Strait, northeast of the Taiwan island near 124ºE and the sea around 127ºE, depended on temperature variations. From the entrance to the outlet along ECS-Kuroshio current, the heat exchange occurred mainly in the 30~150m layer, it got maximum in July ~ Sept and minimum in Nov ~ Jan. There was a temperature-transitional-layer (TTL) around 220m depth.

Abstract: This paper we selected 5 typical texture class samples from Quick Bird RGB fused data with 0.61m resolution. We used GLCMs to quantitatively calculate texture features, which parameter values are suitable for the specific texture classifications. Six statistical features for every class sample in four orientations and 1 pixel of pair-wise distance were obtained, including: energy, entropy, contrast, homogeneity, correlation, and dissimilarity respectively. The average values in four directions were computed and compared. The results show that dissimilarity and entropy have biggest value differences among six samples. They are the most important features for classification or recognition of class samples. The statistics of dissimilarity, entropy, homogeneity, contrast have been demonstrated a decrease in classification ability. The results of the research supplied important references for the quantitative interpretation of VHR Quick Bird imagery in the applications of land cover/use classification and mapping.

Abstract: Derong County is located in Ganzi Tibetan Autonomous Prefecture in southern part of Sichuan Province, in the upper of the Jinsha River, where there is a subtropical plateau monsoon climate, abundant sunshine, and large amount of evaporation, so it is a typical dry-hot valleys region. Derong County is the area of more ups and downs in the terrain, deep valleys, steep mountains, complex geological conditions, intense tectonic activity, various climate types, and has obvious vertical zone effect by temperature, serious physical weathering of rock, and landslide, debris flow, collapse and other geohazards are easily induced under the influence of rainfall and human engineering activities. These geohazards have brought serious harm to the people's lives and property, and have a great impact on the socio-economic development. Through the analysis of geohazards in the study area to investigate its distribution and development trends, this paper provide a basis for geohazard prevention and economic development.

Abstract: The eco-environmental sensitivity evaluation index system was established from the natural factors and human disturbance factors,it has set up of gray clustering model for eco-environmental sensitivity evaluation,and the new method "decomposition-Synthesis" was first proposed which combine gray clustering model with GIS technology based on grid cell.Hunyuan county of Shanxi Province was taken as an example,the study used AHP to determine the weight of each index,and in accordance with relevant standards and reality,it put forward four integration indicators of sensitivity of grading standards and carried out empirical study on the method "decomposition-Synthesis",the evaluation results basically accorded with real situation of eco-environmental of Hunyuan county,and have proved the model is correct,feasible and workable.

Abstract: The Wuhan metropolis circle was selected to be the researched area in this thesis. The drivers and environmental evolution trend of LUCC were analyzed by the research on LUCC, environmental impact, and the value of ecosystem services. This thesis tried to investigate the evolution of eco-environment quality in the way combining LUCC and VES, to provide some ideas to protect the environment and keep sustainable development of Wuhan Metropolis Circle.

Abstract: With the rapid urbanization of Kunming City, the water environment of the City is becoming worse. Informationalized and scientific drainage network management is essential to improve urban water environment. To solve the current problems of Kunming drainage network, we developed an integrated urban drainage network information platform. Architecture design, functional design and spatial database, as well as some key technologies of this platform, for example, Web GIS, ArcObjects, are illustrated. This platform has already been applied to the drainage network management of Kunming, and it has realized the visual management of geospatial information, network analysis, drainage data real-time monitoring and Web publication of information. All of them provide comprehensive and accurate information support and scientific decision-making on urban drainage for the operation and management departments.

Abstract: Water inrush in coal mine could be considered as one of the major threats to the security of miners. Thus, it is necessary to forecast the risk of water inrush to ensure the safety of mine production. The mechanism of water inrush and the related factors, such as geological structures, mining pressure, water pressure and water resisting layer are analyzed. The water inrush prediction model was proposed and applied to DongShan coal mine based on GIS and multi-information. Compared with the water inrush status of DongShan coal mine, the results obtained from the water inrush prediction model are satisfied.