基于Logistic模型的食物供給情況模擬分析
[Abstract]:In this paper, the actual food production in China is sorted out and revised at different scales of the whole country, provinces and counties. Food is classified according to different sources of production, and different food is divided into agriculture, forestry, animal husbandry and fishery ecosystems according to different contents of heat, protein and fat. In the process of food supply analysis, it is found that China's food supply conforms to the increasing trend of the Logistic curve. According to the natural information of soil distribution, climate change and solar radiation, the maximum food supply in China is simulated and solved, and the results are not available in China. According to the food statistics of more than 30 years in China and the maximum food supply in the future in China, the food supply in the coming years in China is simulated by using Logistic model.
In this paper, the main food supply sources of agro-ecosystem in China were collected, including more than 40 main food products of agro-ecosystem, forestry, animal husbandry and fishery ecosystem. The contents of the analysis included total yield, unit yield, specific gravity, trend and so on. Through the analysis, it was found that the food yield in China maintained a good growth trend, according to the 1.8 billion mu cultivated land red. The results show that the distribution of food supply in China basically conforms to the characteristics of population distribution, but food production in some areas can not guarantee the population. There is a visible regional food shortage.
The main methods of food supply simulation research are summarized as empirical model and mechanism model.Based on the further supplement of empirical model and combined with the information of soil type, soil moisture, precipitation and temperature in the past 60 years in China, the maximum food supply of agricultural ecosystem in China is simulated and solved, and the agricultural ecology in China is simulated. Comparing with the statistical data of food in China, the spatial distribution of the system is basically in line with the food distribution in China. From the simulation results, the maximum supply capacity of the ecosystem in China is much higher than that of the food output in China, indicating that there is still much room for improvement in the utilization of resources in China. In the process of comparing the regions, it is found that the degree of ecological utilization in some areas has exceeded the scope of the maximum ecological supply, and ecological protection and regional ecological compensation should be paid attention to in these areas.
In the process of statistical analysis of food supply in China, the results show that the trend of food output conforms to the trend of Logistic curve. Combining with prior experience, the output of food is bound to be limited by the peak value. The maximum food supply in China's agricultural ecosystem simulated by the model is regarded as the maximum limit of food supply in China. Statistical data are used as gradient growth data and years as time gradient to simulate food supply in China's future years. The food supply in the next 10 years, 20 years and 30 years in China is simulated. The results show that the food supply in 2020 is 1.82 billion and the food supply in 2030 is acceptable. According to the analysis of the simulation results, it is found that China's food supply will continue to increase for a long time in the future, and will not depend on the world food because of the shortage of food before the population reaches its peak. Condition.
Based on the analysis of the statistical data of past years in China, the simulation results of the maximum food supply capacity in China and the simulation analysis of the food supply situation in the coming years are given. The results show that there will be no food panic in China, and after the peak of population in China China's food export will also provide food output for world food.
【學(xué)位授予單位】:山東農(nóng)業(yè)大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:F224;F326
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 黃宏勝;岳天祥;;資源環(huán)境模型庫管理系統(tǒng)研究進(jìn)展[J];地理科學(xué)進(jìn)展;2007年01期
2 王情;岳天祥;盧毅敏;杜正平;辛?xí)云?;中國食物供給能力分析[J];地理學(xué)報;2010年10期
3 岳天祥;王英安;張倩;劉乃功;唐文祥;;北京市人口空間分布的未來情景模擬分析[J];地球信息科學(xué);2008年04期
4 陳傳法;岳天祥;;基于條件隨機(jī)模擬的DEM誤差分析——以董志塬水土流失等級劃分為例[J];地球信息科學(xué)學(xué)報;2009年05期
5 范國兵;;一種估計Logistic模型參數(shù)的方法及應(yīng)用實例[J];經(jīng)濟(jì)數(shù)學(xué);2010年01期
6 朱華鋒;;Logistic模型的參數(shù)估計及其實證研究分析[J];科技信息;2011年01期
7 黃季q,李寧輝;中國農(nóng)業(yè)政策分析和預(yù)測模型——CAPSiM[J];南京農(nóng)業(yè)大學(xué)學(xué)報(社會科學(xué)版);2003年02期
8 于滬寧,趙豐收;光熱資源和農(nóng)作物的光熱生產(chǎn)潛力——以河北省欒城縣為例[J];氣象學(xué)報;1982年03期
9 王世海;岳天祥;;高精度曲面建模的三維地形可視化研究[J];武漢大學(xué)學(xué)報(信息科學(xué)版);2009年01期
10 陳明榮;秦嶺地區(qū)氣候的生產(chǎn)潛力[J];西北大學(xué)學(xué)報(自然科學(xué)版);1979年01期
,本文編號:2223367
本文鏈接:http://sikaile.net/jingjilunwen/jingjiguanlilunwen/2223367.html