Research on Integration of Sdi with Geological and Meteorological Data for Meteorological Forecast and Alarm of Geological Disasters

نویسندگان

  • W. D. Zhao
  • Y. X. Li
  • J. Q. Wang
چکیده

In order to forecast the geological disaster, a forecasting model of geological disasters in Hefei area has been established. The model is based on raster data model. Because that the data from local SDI are vector data, some pretreatment must be done before they are used in the forecasting model. Some data, such as geological data, meteorological data and precipitation, has been translated into grid network data, which grid cell is 5Km×5 Km. In order to integrate these professional data with the data from local SDI, a new integrating way has been put forth in this paper. In our case study, the forecasting model has been used to forecast the geological disasters in Hefei area successfully by using the integrating way. The successful running of this forecasting model demonstrated that this integrating way is feasible and can be used for reference of integrating other professional data with SDI data.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Research on Modeling Based on Gis Com about Meteorologic Forecast and Alarm of Geological Hazards

According to the field investigation data, a meteorological forecast and alarm model of geologic disasters in Hefei Area has been established. This model was based on GIS raster data model in order to be integrated with GIS Digital Terrain Model (DTM) Component Object Model (COM). Some important factors that put premium on geological hazards, such as intraday and five-day forecasting and limina...

متن کامل

Evaluation of meteorological, hydrological and groundwater resources indicators for drought monitoring and forecasting in a semi-arid climate

     Drought as a natural phenomenon characterized by a significant decrease of water availability during a period of time and over a large area. In recent years, droughts and its frequent in arid and semi-arid regions like Iran on the one hand, and water demand has been rising on the other hand and, as a result, their impacts are being aggravated. Therefore, the meteorological and hydrological...

متن کامل

Artificial neural network forecast application for fine particulate matter concentration using meteorological data

Most parts of the urban areas are faced with the problem of floating fine particulate matter. Therefore, it is crucial to estimate the amounts of fine particulate matter concentrations through the urban atmosphere. In this research, an artificial neural network technique was utilized to model the PM2.5 dispersion in Tehran City. Factors which are influencing the predicted value consi...

متن کامل

Applications of Cell-Ratio Constant False-Alarm Rate Method in Coherent Doppler Wind Lidar

Hao Zhu 1, Lingbing Bu 1,*, Haiyang Gao 1, Xingyou Huang 1 and Wentao Zhang 2 1 Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, ...

متن کامل

A new method for evaluation and comprehensive drought Monitoring in the Urmia Lake Basin using a Synthesized Drought Index (SDI)

Drought is a complex phenomenon caused by the breaking of water balance and it has always an impact on agricultural, ecological and socio-economic spheres. Although the drought indices deriving from remote sensing data have been used to monitor meteorological or agricultural drought, there are no indices that can suitably reflect the comprehensive information of drought from meteorological to a...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005