34 results about "Risk zoning" patented technology

The invention discloses a regional flood disaster risk evaluation and estimation method coupling a GIS algorithm and a GBDT algorithm. The method comprises the following steps: constructing a regionalflood disaster risk evaluation index system based on four types of disaster-causing factors, disaster-pregnant environments, disaster-bearing bodies and disaster prevention and reduction capacities,and normalizing the regional flood disaster risk evaluation index system to generate evaluation index layers; obtaining the optimal combination weight of each evaluation index, and generating four types of regional flood disaster risk distribution map layers; determining a final historical region flood disaster risk division map based on expert opinions; and constructing a regional flood disasterrisk evaluation model, predicting a future regional flood disaster risk, and generating a future regional flood disaster risk division map by using ArcGIS. The method has superiority for multivariatebig data processing, is suitable for basin or regional flood risk assessment and prediction, and can remarkably improve the calculation precision and the reliability of assessment and decision making.

In various embodiments, points from flood maps (e.g., geospatial flood risk zoning maps) may be used in generating a flood frequency versus flood elevation curve for reducing the uncertainty in the flood risk assessment. In some embodiments, geospatial flood elevation lines for flood elevation lines at different flood frequency levels may be defined based on elevation datasets where there are inconsistencies between the elevation datasets and flood maps that were generated. The flood frequency versus flood loss curve may be derived based on the computed flood frequency versus flood elevation curve, digital elevation datasets, and collected damage curve. In some embodiments, the flood risk rating may also be derived and a flood risk assessment report may be generated.

The invention discloses an urban flood disaster risk assessment method fused with elasticity. The method comprises the following steps: dividing grid units based on the actual situation of a research area; obtaining the submerging water depth of each time period of each grid unit corresponding to the rainfall time sequence and the submerging water depth data duration of the rainfall of the session; taking the obtained grid units as calculation units, determining the maximum and minimum water depth threshold values of each land utilization type, and obtaining the elasticity of each grid unit in each time period by using the two threshold values, so as to obtain the average elasticity of each grid unit in each time period; selecting a plurality of risk indexes including elasticity and a plurality of vulnerability indexes; calculating and determining the weight of each index, and constructing an urban flood disaster risk assessment framework fused with elasticity; carrying out risk division on each index; carrying out risk zoning on the risk and vulnerability of the research area; and carrying out urban flood disaster comprehensive risk zoning on the research area. According to the method, the elasticity is integrated into an index system for urban flood disaster risk assessment as one of danger indexes, and the submerging depth change of almost the whole submerging process in single-session rainfall can be identified, so that the dangerousness under different submerging conditions in the risk assessment process is more accurately quantified.

The invention provides a regional water environment risk zoning method comprising the steps that a driving force factor, a pressure factor, a state factor, an impact factor and a response factor of a DPSIR module are determined; a regional water environment risk assessment index system is constructed, and the constructed regional water environment risk assessment index system comprises a target layer, a system layer, a criterion layer and an index layer which reflect the regional water environment risk from different angles; the weight of each index is calculated by using the analytic hierarchy process and value assignment is performed, and then all the index systems are quantitatively graded; then the regional water environment risk value is calculated through a fuzzy comprehensive evaluation method; and the regions are divided into a high-risk region, a medium-risk region, a low-risk region and a no-risk region in a decreasing order according to the risk with ArcGIS acting as an auxiliary tool. According to the scheme, the regional water environment can be more accurately assessed so as to provide accurate basis for decision.

The invention relates to a method for sudden accident risk zoning of a river basin based on changes of water resources, which comprises the following steps: 1) carrying out drought risk zoning within a selected zone scope according to drought risk indexes; 2) carrying out flood disaster zoning within the selected zone scope according to flood risk indexes; 3) carrying out sudden accident risk zoning within the selected zone scope according to sudden accident risk indexes; and 4) superimposing zoning results in a GIS (geographic information system) to realize sudden risk zoning under different precipitation conditions. The conditions of the water resources are taken to account for sudden accident risk zoning, the sudden accident risk zoning results of zones are more reasonable and reliable, and the scientific level of regional environmental management can be improved. Moreover, the sudden accident risk zoning results of the zones can be displayed promptly through the GIS technology, and the accuracy of integrated environmental management can be improved. Meanwhile, the method has high operability and a wide scope of application and is suitable for zones of different sizes.

The invention discloses a rainstorm high-risk zoning method based on hydrometeorological region linear moment frequency analysis, and relates to the technical field of flood prevention and disaster reduction hydrometeorology. The specific scheme is that the method comprises the following steps: S1, carrying out data collection, screening and quality control; S2, analyzing the applicability and superiority of a regional linear moment method; S3, conducting hydrometeorological consistent area division; S4, carrying out linear selection of optimal distribution of a consistent area; S5, carrying out frequency estimation value calculation and space-time consistency adjustment; S6, drawing a rainstorm high-risk division map. The rainstorm high-risk zoning method based on hydrometeorological region linear moment frequency analysis provided by the invention not only can obtain a rainfall frequency estimation value with relatively high precision and accuracy, but also can reflect a spatial distribution relationship among the occurrence probability of a strong rainfall intensity-rainstorm falling area-probability of occurrence so as to analyze the rainstorm high-risk zoning, and can providea scientific basis for engineering flood control design, flood control planning design of regions and cities and early warning of mountain torrent disasters in a short duration.

The invention discloses a regional flood disaster risk assessment and prediction method coupled with GIS and GBDT algorithm, which includes the following steps: constructing four types of regional floods based on disaster-causing factors, disaster-forming environment, disaster-affected body, and disaster prevention and mitigation capabilities Disaster risk evaluation index system, and normalize it to generate each evaluation index layer; get the optimal combination weight of each evaluation index, generate four types of regional flood disaster risk distribution layers; determine the final layer based on expert opinion Historical regional flood disaster risk zoning map; build a regional flood disaster risk assessment model to predict future regional flood disaster risk, and use ArcGIS to generate future regional flood disaster risk zoning map. The method of the invention has advantages in processing multi-variable big data, is applicable to river basin or regional flood risk assessment and prediction, and can significantly improve calculation accuracy and reliability of evaluation and decision-making.

The invention discloses a rainfall frequency atlas digitization and rainstorm high-risk zoning visual analysis system, relates to the technical field of hydrometeorology of disaster prevention and reduction, and aims to check and analyze frequency estimation values of any point (including an observation rainfall site and a data-free site) in a research area in different design periods and different frequencies (recurrence periods)n check and analyze rainstorm high-risk regionalization maps of different time periods and different frequencies (recurrence periods) according to different interpolation methods, and perform rainstorm magnitude analysis, and rainstorm disaster meteorological risk early warning and the like through real-time rainfall data updating. The system can be used for guiding work in the fields of regional flood control planning, urban inland inundation prevention and control planning, engineering construction planning and design, flood disaster prevention and early warning and the like. According to the specific scheme, the system comprises a rainfall frequency estimation value and rainstorm high-risk regionalization diagram analysis unit, a rainstorm analysis unitand a real-time analysis unit.

The invention discloses a dynamic risk assessment method for mountain torrent disasters coupled with hyperspectral monitoring and GIS. It includes the following steps: Step 1: Construct a hyperspectral remote sensing technology application system; Step 2: Extract information related to mountain torrent disasters; Step 3: Simulate the evolution and disaster process of single and compound disasters; Step 4: Build a stepwise regression equation ; Step 5: Determine the index system of the risk of mountain torrent disaster; Step 6: Obtain the risk map of mountain torrent disaster and the result map of mountain torrent disaster vulnerability; Step 7: After normalization, obtain the risk map of mountain torrent disaster at multiple spatial scales; Step 8 : To divide the flash flood disaster risk zoning in a specific area. The invention has the advantages of realizing the accuracy, reliability and timeliness of the basic data in areas prone to mountain torrent disasters.

The invention relates to a mountain torrent disaster risk division and prediction method based on GIS (geographic information system)-neural network integration. The method includes the steps: S1 mining the association relationship between a risk factor and a risk grade in a mountain torrent disaster by the aid of association rules, identifying the risk factor and building a quantitative mountaintorrent disaster risk evaluation index system; S2 determining risk and vulnerability index system by an analytic hierarchy process and the weight of the system to generate feature layers; S3 stackingmountain torrent disaster risk and vulnerability distribution layers by ArcGIS to obtain a mountain torrent disaster risk distribution diagram; S4 performing clustering by an ISO maximum likelihood method, merging regions from bottom to top and performing qualitative analysis from top to bottom to form mountain torrent disaster risk division; S5 analyzing non-linear relationships among evaluationindexes, the risk grade and disaster data by an Elman neural network, and building a mountain torrent disaster risk evaluation and loss prediction model. The problem of spatial scale uncertainty in mountain torrent disaster evaluation in a changing environment can be solved, and the method can be widely used for evaluating mountain torrent disaster risks.

The invention provides a lightning monitoring early-warning and alert service system comprising a lightning disaster risk zoning and thunderstorm disaster risk assessment system, a lightning alert service cloud platform, an urban-observation-based lightning monitoring and analysis internet cloud platform and a thunderstorm database. Therefore, an operational effect of lightning monitoring, forecasting, and protection technical services can be promoted; monitoring and warning ability of lightning disaster, the anti-thunder administrative capacity, and anti-thunder technical service levels can be enhanced; and the lightning protection and disaster reduction requirement by public security can be met. Meanwhile, one the basis of analyses of a plurality of cases during the thunderstorm process, rapid feature value extraction processing of the thunderstorm process and thunderstorm classification and determination can be realized; a reference basis is provided for lightning disaster zoning and analysis based on the thunderstorm characteristics; and the thunderstorm-characteristic-based lightning protection key points and protection strategic method are established, so that the system can provide basic analysis data for lightning early-warning and follow-up service and thus servers as a core support system for a lightning service.

The invention discloses a method for landslide disaster risk zoning in small watershed areas based on mechanism analysis, comprising the following steps: step 1, establishing slope units for landslide disaster risk zoning in small watershed areas; step 2, calculating risk evaluation indicators for each slope unit , and carry out normalization process to described risk evaluation index, set up the geographical information database of slope unit; Step 3, calculate the value of the comprehensive risk degree Z of each slope unit, obtain the integrated risk zoning result of landslide disaster in this small watershed area. On the one hand, the index system and the spatial unit of the present invention start from the formation mechanism of disasters, and the zoning results are more objective and scientific; on the other hand, it provides suitable spatial precision for disaster prevention, making the risk zoning results more instructive.