A Visual Decision Support System For Optimizing Planting Structure Of Dryland Crops

In the dry areas, besides carrying out water-saving irrigation experiments and research, adjust crop structure, especially in arid regions has become increasingly important. Dryland crop planting structure should not only take into account the crop water requirement and its time and space rainfall distribution in the match situation, also according to the needs of today's society and market, considering a comprehensive analysis of the proportion of crop area and make the appropriate adjustments. This article is arise from the dry areas of crop planting structure adjusting based water production function model theory by Jensen, using multi-objective planning method, under dry conditions established wheat, corn, soybeans, potatoes, sorghum and other major crops planting structure optimization system, preparing of a visual application, making grain yield, economic efficiency, water use efficiency of organic unity. The main research are as follows:The decision support system which importing many years of rainfall data, sunshine hours, daily maximum and minimum temperature, daily wind speed and other basic meteorological data, related soil, crop parameters, crop prices, as well as low demand factors, analyzed crop evapotranspiration, crop photosynthetic production, climate output so as to arrive at a specific dry wheat, corn, soybeans, potatoes and sorghum production, indicating the law of temporal and spatial characteristics of rainfall distribution.This system is from water sustainable use angle embarking, integrated overall consideration of social, economic, and environmental harmonious development, thus enables the dry area to achieve an environment coordinated contingency nature planter structure, enables the grain yield, the economic efficiency, the moisture content to achieve the organic unification using the efficiency.This article using the meteorological data and the basic parameter from 1971 to 2004 year of 34 years in Jinzhong area, to confirmate and the analysis the dry local planter structure decision support system, Thus obtains the credibility of the model. Through obtains to crops'planter structural adjustment analysis, angus and crop planting structure optimization basically consistent with the actual planting structure in 2005, but a little deviation. After the comprehensive analysis, the area should increase potato and sorghum and corn acreage to 154%,6.8%,3%, suitable reduced soybean sowning 38.4%, with the wheat should meet the requirements of the minimum demand.The enormous influence which brings to the agriculture crops'planter structure carries on the forecast taking the dry area decision support system software and the climatic change as the foundation to 2030. The result indicate that because the climatic change brings the temperature and the rainfall as well as the CO2 change has caused the winter wheat and potato's vegetative season and the temperature, the rainfall amount does not adapt 36.9%,17.2%, The area drops; spring crops'and so on corn and sorghum sown areas increase171%; soybean's sown area maintained impartial basically with the old times.