The Database Study Base On Drought Automatism Inspect System

In recent years, the global water resources crisis is prominent day by day, lacks the water to become a big barrier for industry and agriculture development at arid and half arid area .Our country is the agricultural water used wealthy and powerful, the water consumption approximately composes the entire water resources use total quantity 80%, this kind of situation is more prominent in our province.Therefore the research of advance irrigation water used rate and compress agriculture irrigation water used then becomes a long-term research topic of the water resource distribution .The practice proved that, the development drought situation monitor, the drought situation data research analyzes and forecasts the work can be possible good solution these questions. The Inspect drought system implementation not only can realize the soil drought situation dynamic monitor, moreover can good grasp the wide range soil drought situation and the drought situation serious degree and its in the spatial distributed rule, thus at the right moment and right amount irrigates to the farmer, and the government department prompt formulation combats drought the disaster reduction to provide the scientific basis.Therefore, to the drought situation data scientific analysis, discovered the scientific value inside the magnanimous monitor data contains , to studies the karst area and even the entire province arid origin, develops and the drought-relief measures has the vital significance.This article in view of traditional drought situation monitor system analysis and forecast calculate complex, computation difficulty, the model overabundance, moreover the rate of accuracy receives in the very great degree uses in the model the parameter not to be able to be clear to influence qualitatively, proposed unifies using the data mining technology and the data warehouse technology, carries on the concept of data mining to the drought situation monitor data. In detail described the drought situation monitor data memory and the pretreatment; In view of pretreatment data discretization; Data mining technology how in drought situation monitor data application and realization; Using the decision tree algorithm(ID3 algorithm)sort the drought situation automatic monitor system data ; Using the classified rule to the drought situation data class, provides forecast process, and so on .It has the good social efficiency, the economic efficiency and the environment benefit.