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孙根年等认为从节水减排目标出发,利用1985-2005年相关统计数据,分析了近20年来山东省工业生产水资源消耗和COD排放的绿色距离和生态贡献的动态变化,得出了在总体上向好的方向发展的结论。利用2005年截面数据,对37个工业部门进行节水减排的分类研究,并将37个工业部门划分为3种类型,即低耗水-低污染工业、高耗水-低污染工业和高耗水-高污染工业。然后,对上述3类工业2001-2005年的水资源消耗和COD排放进行了统计表分析,结果发现:占工业生产总值34%的高耗水-高污染工业,消耗了77.1-79.2%的水资源、排放了84.4-88.7%的COD,是引起水耗总量上升和大气污染加重的首要因素;而占生产总值33%的低能耗-低污染工业,消耗了不到8%的水资源,COD的排放量也不超过3.5%,是典型的能源节约型和环境友好型工业行业。李华等在对山东经济、人口、资源、环境协调度指标体系进行综合评价的基础上,采用时间序列ARMA模型预测山东省经济发展和人口、资源、环境之间的协调度,同时参照山东省生态省建设规划和山东国民经济发展规划期望实现的目标,以2010年的得分和2020年的得分作为参考,确定协调度阈值,对未来几年山东经济、人口、资源、环境协调度进行预警,以便提出促进协调发展的对策建议。扬风在全面分析山东人口资源环境可持续发展所面临的挑战的基础上指出:控制人口数量,提高人口素质,改善人口结构,发展循环经济,建设节约型社会,实施排污收费制是山东人口资源环境可持续发展的选择路径。
Sun Gen-nian and so on that starting from the water-saving emission reduction targets, the use of relevant statistical data from 1985 to 2005, analysis of the past 20 years in Shandong Province industrial production of water consumption and COD emissions of the green distance and ecological changes in the contribution to the dynamics, On the direction of the development of a good conclusion. Based on the cross-sectional data of 2005, this paper studies the classification of water saving and emission reduction in 37 industrial sectors and divides 37 industrial sectors into three types: low water consumption-low pollution industry, high water consumption-low pollution industry and high Water consumption - Highly polluting industries. Then, based on the statistical analysis of water consumption and COD discharge of the above three types of industries from 2001 to 2005, the results show that the high water consumption-high-pollution industries accounting for 34% of the industrial output value consume 77.1-79.2% Water resources, which discharge 84.4-88.7% of COD, are the primary factor that causes the increase of total water consumption and air pollution; while the low energy consumption, which accounts for 33% of the total output value, is low-pollution industry and consumes less than 8% of water Resources, COD emissions do not exceed 3.5%, is a typical energy-saving and environment-friendly industrial sector. Based on the comprehensive evaluation of Shandong’s index system of economy, population, resources and environment coordination, Li Hua et al. Used time series ARMA model to predict the degree of coordination between economic development and population, resources and environment in Shandong Province. At the same time, Ecological province construction planning and Shandong national economic development planning expectations to achieve the goal of 2010 scores and 2020 scores as a reference to determine the coordination threshold, Shandong economy, population, resources, environmental coordination in the next few years, early warning, In order to put forward countermeasures and proposals to promote coordinated development. Based on a comprehensive analysis of the challenges faced by the sustainable development of the population, resources and environment in Yangpu, Yangfeng pointed out: To control the population, improve the quality of the population, improve the population structure, develop a recycling economy and build a conservation-oriented society, The Choice of Environment for Sustainable Development.