环珠江口湾区国土资源开发利用绿色发展指数测算及障碍因子诊断

发布时间：2018-05-26 03:57

本文选题：国土资源 + 绿色发展指数　；参考：《广州大学》2017年硕士论文

【摘要】：绿色发展是可持续发展的深度延展,本质上是改革传统发展模式,要求人类主动地把握自然资源的发动因素,利用过程以及生态影响,为未来增加更多的产出和创造巨大的生态资产。国土资源是人类“生产-生活-生态”的重要物质来源和发展载体,其绿色发展研究有利于关注资源自身可利用数量和可挖潜质量,降低资源、环境和生态成本,实现人与自然相处和谐。目前,我们对国土资源开发利用的需求不断增加,再加上资源利用效率不高和引发环境污染问题,使得国土资源开发利用绿色发展受到阻碍。探讨国土资源绿色发展内涵与路径,科学评价国土资源绿色发展,已成为我国现阶段资源利用的重要课题。以环珠江口湾区国土资源为研究对象,将绿色发展理念引入国土资源利用评价中,通过BP神经网络对湾区2004至2014年国土资源开发利用绿色发展指数进行评价,进而运用障碍诊断模型识别主要障碍因子,最后针对结果提出相应的建议措施。研究结果有:(1)从资源环境承载潜力、资源持续利用水平和资源绿色产出与投入三个维度构建了环珠江口湾区国土资源绿色发展指数评价体系,包括8个准则层以及27个具体指标,应更好地体现国土资源的动态性,联动性以及空间适宜性。(2)环珠江口湾区国土资源开发利用朝“绿色化”良好态势发展。绿色发展指数从2004年到2014年总体上呈波动上升的发展趋势,年均增长率达到7.51%。湾区国土资源开发利用绿色发展水平等级由“低”水平向“中等”水平转变。同样三大子系统绿色发展指数得分也呈上升发展趋势。2014年资源持续利用水平系统绿色发展指数超过80,初步进入“良好”水平;资源环境承载潜力系统和资源绿色产出与投入系统绿色指数分别为74.8和73.20,属于“中等”水平。(3)环珠江口湾区国土资源绿色指数得分具有明显的差异性。截止2014年,中山市国土资源绿色指数得分暂列第1名,东莞市第2名,广州市和珠海市列第3、4名,深圳市第5名。最高得分中山市与最低得分深圳市得分相差约13.62,差距较为明显;而增长率最高的城市是东莞市与增长率最低的珠海市相差34.712%。除此之外,2014年珠海市被原本绿色发展程度较低的城市赶上甚至是反超,反映区域国土资源开发利用绿色发展缓慢和障碍。(4)通过障碍诊断模型和最小方差法,可以得知湾区内各市阻碍类型都是由多系统逐渐过渡为单系统的阻碍模式,尤其受到资源环境承载潜力系统的约束。并且以自然资源禀赋和资源开发利用水平为国土资源开发利用绿色发展的主要障碍准则层。(5)根据出现的频数以及阻碍作用的持久性,认为人均耕地面积、人均林地面积、人均水资源量、森林覆盖率、人均煤炭消耗量、人均化学需氧量排放量和空气质量优良天数是主要障碍因子。这些障碍因子累积占比达到了76.01%。除此之外,各城市的其他主要障碍因子存在一定的差异性。
[Abstract]:The green development is the deep extension of the sustainable development, in essence it is the reform of the traditional development model, which requires the human initiative to grasp the starting factors of natural resources, the use of the process and the ecological impact, to increase more output and create huge ecological assets for the future. Land and resources are the important material sources of human "production life ecology". And the development carrier, its green development research is helpful to pay attention to the available quantity and the quality of the resources, reduce the resources, environment and ecological cost, and realize the harmony between people and nature. At present, the demand for the development and utilization of land and resources is increasing, and the efficiency of resource utilization is not high and the environmental pollution is caused, and the land is caused by the environmental pollution. The green development of resources development and utilization is hindered. To explore the connotation and path of green development of land and resources, and to scientifically evaluate the green development of land and resources has become an important issue in the utilization of resources at the present stage of our country. The green development concept is introduced into the evaluation of land and resources utilization, and the BP neural network is adopted. This paper evaluates the green development index of land and resources development and utilization of the bay area from 2004 to 2014, then uses the obstacle diagnosis model to identify the main obstacle factors, and finally puts forward some suggestions for the results. The results are as follows: (1) from the resources and environment carrying potential, the level of sustainable utilization of resources and the green output and input of resources in three dimensions. The evaluation system of green development index of land and resources in the Pearl River mouth Bay area has been built, including 8 criteria and 27 specific indexes, which should better reflect the dynamic, linkage and Spatial Suitability of land and resources. (2) the development and utilization of land and resources in the Pearl River mouth Bay Area developed well. The green development index is from 2004 to 20. The overall growth trend of 14 years is fluctuating, the average annual growth rate reaches the level of 7.51%. Bay area development and utilization of land and resources, the level of green development is changed from "low" level to "medium" level. The same three sub-system green development index scores are also on the rise and development trend, and the green development index of the sustainable utilization level system of the.2014 year source is the same. More than 80, initially entered the "good" level; the green index of the resource environment bearing potential system and the green output and input system were 74.8 and 73.20 respectively. (3) the green index score of the land and resources in the Pearl River mouth Bay area was distinctly different. In 2014, the green index of land and resources in Zhongshan was temporarily scored. First in Dongguan, second in Dongguan, second in Guangzhou and Zhuhai, fifth in Shenzhen. The highest score in Zhongshan and the lowest score in Shenzhen is about 13.62, and the gap is more obvious; and the city with the highest growth rate is the difference of the Dongguan city and the lowest growth rate in Zhuhai by 34.712%. In addition, the Zhuhai city was originally green in 2014. The lower level cities catch up with even the anti super, reflecting the slow development and obstacle of the development and utilization of land resources in the region. (4) through the obstacle diagnosis model and the minimum variance method, it can be found that all the barriers in the bay area are all gradually transition from multi system to the single system, especially by the resources and environment bearing potential system. And with natural resources and resources development and utilization level as the main barrier criteria for the development and utilization of land and resources for green development. (5) according to the frequency of occurrence and the persistence of the hindrance, it is considered that the per capita cultivated land area, per capita woodland area, per capita water resources, forest cover rate, per capita coal consumption, and per capita chemical oxygen demand. The number of good days of emission and air quality is the main obstacle factor. In addition to the cumulative proportion of these barriers to 76.01%., the other major obstacle factors in each city are different.
【学位授予单位】：广州大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F205

【参考文献】