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Shen D.,Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology | Shen D.,Nanjing University | Shen D.,Changjiang River Scientific Research Institute | Kuang Q.,Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology | And 5 more authors.
International Conference on Geoinformatics | Year: 2016

Flood damage assessment is an important part of assessing flood control in hydraulic engineering, flood risk mapping, and flood insurance claims. How to assess flood damage scientifically and accurately has been the emphasis and difficulty of flood disaster research. This article describes the present research status of flood damage loss assessments from three aspects: the disaster classification, the indicator system of assessing the loss of flood damage, and the method of assessing the loss of flood damage, and explores the current problems in the scale of assessment, the indicator system of assessment, the determination of the loss rate of hazard-affected bodies, as well as other aspects in current approach of assessing flood damage loss. In the end, the prospect for further research is made. © 2015 IEEE. Source


Rui Y.,Nanjing University | Shen D.,Nanjing University | Shen D.,Changjiang River Scientific Research Institute | Khalid S.,Nanjing University | And 4 more authors.
Physics and Chemistry of the Earth | Year: 2015

The frequent occurrence of sudden water pollution accidents brings enormous risks to water environment safety. Therefore, there is great need for the modeling and development of early warning systems and rapid response procedures for current water pollution situation in China. This paper proposes an emergency response system based on the integration of Geographic Information System (GIS) technology and a hydraulic/water-quality model. Using the spatial analysis and three-dimensional visualization capabilities of GIS technology, we calculated pollutant diffusion measures, and visualized and analyzed the simulation results, in order to provide the services of early warning and emergency response for sudden water pollution accidents in the Xiangjia Dam area on the Yangtze River. The results show that the proposed system offers reliable technological support for emergency response to sudden water pollution events, and it shows good potential for wide applications in various aspects of water resources protection. © 2015 Elsevier Ltd. Source


Rui Y.,Nanjing University | Yang Z.,Guangzhou DLH Urban and Rural PLanning Co. | Qian T.,Nanjing University | Khalid S.,Nanjing University | And 4 more authors.
International Journal of Geographical Information Science | Year: 2015

The distribution of many geographical objects and events is affected by the road network; thus, network-constrained point pattern analysis methods are helpful to understand their space structures and distribution patterns. In this study, network kernel density estimation and network K-function are used to study retail service hot-spot areas and the spatial clustering patterns of a local retail giant (Suguo), respectively, in Nanjing city. Stores and roads are categorized to investigate the influence of weighting different categories of point events and network on the analysis. In addition, the competitive relation between Suguo and foreign-brand retail chains was revealed. The comprehensive analysis results derived from the combination of the first-order and second-order properties can be further used to examine the reasonability of the existing store distribution and optimize the locational choice of new stores. © 2015 Taylor & Francis Source


Qian T.,Nanjing University | Kuang Q.,Guangzhou DLH Urban and Rural PLanning Co. | Yang J.,Guangzhou DLH Urban and Rural PLanning Co. | Khalid S.,Nanjing University | And 2 more authors.
International Conference on Geoinformatics | Year: 2016

In this paper, we present a method for extracting area features of canals using high resolution Digital Elevation Model (DEM) based on geometry from analysis on section lines. The method includes four steps: (1) plotting section lines in four certain directions, (2) segment the section lines according to their tendency, (3) determine the candidate feature points according to the segments in step 3 on four different directions separately, and (4) extract final canal feature points using the combination of candidate feature points on four directions. This paper also applies this method to extracting canals in a floodplain in Dongting Lake Basin. Experiment results show that our method is appropriate for extraction of area features of manual canal systems in plain area. Besides, we analyze this method's sensibility to DEM horizontal resolution by comparing the extraction results from three DEM data with different horizontal resolution. © 2015 IEEE. Source


Min L.,Nanjing University | Zaigui Y.,Guangzhou DLH Urban and Rural PLanning Co. | Tianlu Q.,Nanjing University | Xianzhe Z.,Nanjing University | Qing D.,Guangzhou DLH Urban and Rural PLanning Co.
International Conference on Geoinformatics | Year: 2016

The genetic algorithm, an intelligent heuristic search algorithm, is capable of finding the global optimum solution in multidimensional space quickly, which covers the shortage of GIS in the automatic search and knowledge processing of combinational optimization problems. Based on the site selection of the public library in Nanjing, this paper connects genetic algorithm with facility location. By encoding various site selection factors into fitness functions, the optimal solution is calculated through the population reproduction of genetic algorithms. Then, the optimum location for the library is found. By studying the genetic algorithms both by binary encoding and decimal encoding, a better performance of genetic algorithm by decimal encoding was found in facility location. © 2015 IEEE. Source

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