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滑坡是最常见的一种地质灾害,其主要诱因是降雨。滑坡灾害多发生在雨量充沛地域或洪水季节。南京市受自然环境和地质环境的影响,滑坡是其最主要的地质灾害类型之一,为了有效地预测滑坡的发生情况并最大限度地减少滑坡灾害为南京带来的损失,本文在已有的南京市地质灾害易发区等研究的成果上,结合南京市历史滑坡数据、气象资料和地质灾害预测数学模型构建了南京市滑坡灾害预测方法并确定了南京市滑坡灾害预测预报技术流程。在该预测方法和技术流程的基础上,本文同时应用了数据库技术、ArcGIS Server技术、AJAX远程调用技术、网页局部刷新技术和地图缓存技术等,融合地理信息系统功能与滑坡灾害预测预报业务功能,开发了南京市滑坡灾害预测预报信息共享平台。该平台可以对滑坡灾害基础数据和实时气象数据动态、科学地管理,结合南京市实时降雨数据可实现滑坡灾害预测预报并将灾害信息实时在线发布,同时提供对滑坡灾害信息的查询、检索、统计分析等功能,最终通过该信息共享平台,为南京市滑坡灾害的防灾减灾提供决策支持,为其他需要建立滑坡灾害预测信息共享平台的城市提供参考。
Landslides are the most common geological disasters, the main cause is rainfall. Landslide hazards occur mostly in abundant rainfall or flood season. Nanjing is affected by the natural environment and the geological environment. Landslide is one of the most important types of geological disasters. In order to effectively predict the landslide occurrence and minimize the landslide disasters caused by Nanjing, Based on the research results of Nanjing area, such as landslide susceptibility area and Nanjing landslide disaster data, meteorological data and geological disasters prediction mathematical model, a landslide disaster prediction method in Nanjing city is constructed and the technical process of landslide hazard prediction and forecasting in Nanjing is established. Based on the forecasting method and technical process, this paper also applies database technology, ArcGIS Server technology, AJAX remote calling technology, webpage partial refresh technology and map cache technology to integrate GIS function and landslide hazard prediction and forecasting business functions, Developed Nanjing landslide disaster prediction and forecast information sharing platform. The platform can dynamically and scientifically manage the basic data of landslide disaster and real-time meteorological data, combine with the real-time rainfall data in Nanjing to realize the landslide disaster forecasting and forecasting, and release the disaster information online in real time, at the same time, provide the inquiry, search and statistics of landslide disaster information Analysis and other functions. Finally, this information sharing platform will provide decision-making support for disaster prevention and mitigation of landslides in Nanjing and provide references for other cities that need to establish a platform for sharing landslide hazard prediction information.