Urban flood disaster dynamic assessment method based on multi-source data
A technique for dynamic assessment of flood disasters, applied in the field of assessment of flood disaster losses, dynamic assessment of impacts of flood disasters on population and traffic
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Embodiment 1
[0036] This embodiment is a method for dynamically evaluating urban flood disasters based on multi-source data. In order to realize the dynamic assessment in this embodiment, the first problem to be solved is the data acquisition of the disaster-affected body. The disadvantages of traditional data such as poor temporal and spatial resolution and difficult acquisition are restricting the development of dynamic assessment technology. With the wide application of big data technology and the rapid growth of data, the above problems have been effectively solved, and the dynamic assessment of flood disasters has been provided. It has also promoted the application of big data technology in the field of urban hydrology, and realized the interdisciplinary cross fusion. This embodiment uses web crawler technology to obtain the time and space change status of population and vehicles in real time from the digital map data of multiple digital map suppliers to form a data set, and then thro...
Embodiment 2
[0070] This embodiment is an improvement of Embodiment 1, and is a refinement of Step 3 in Embodiment 1. In this embodiment, the collection process of the population heat map data set described in step 3 includes the following sub-steps:
[0071] ①The mobile phone operating system simulator uses the http protocol debugging proxy tool to perform digital map data capture operations. For example, the Android emulator uses a proxy to connect to fiddler and perform operations. This acquisition process is mainly aimed at the operations in the mobile phone, so the mobile operating system is used as the object of explanation.
[0072] ② Analyze the data returned by the http protocol debugging proxy tool. The content of the analysis includes: obtaining the data cache files and index files in the APP, and filtering the data to be used.
[0073] ③Set the coordinates of the collection range, map zoom level and timing collection time.
[0074] Coordinates of the collection range: the c...
Embodiment 3
[0083] This embodiment is an improvement of the above embodiment, and is a refinement of step 3 of the above embodiment. The spatial distribution data set of the passing speed described in step 3 of this embodiment includes the following sub-steps:
[0084] 1. Road network acquisition: Open source map OSM data is used as the source of road data. Based on remote sensing image data and geographic information systems, such as ArcGIS tools, topology inspection is performed, and road traffic directions and connectivity are repaired to meet the requirements of research accuracy.
[0085] 2. Obtaining OD points (starting point-end point): According to the relevant attributes of open source map data, the roads in the research area are divided into 5 categories: expressway, first-class road, second-class road, third-class road and branch road, and use geographic information A system, such as an ArcGIS tool, obtains the latitude and longitude coordinates of the OD points of each road. ...
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