基于耦合模型的城市化与水资源保护关系研究——以南京市为例

利用耦合度模型,建立城市化综合水平与水资源保护综合水平指标评价体系,对南京市2005年-2014年城市化与水资源保护耦合关系度量化分析.结果表明:南京城市化与水资源保护耦合度总体波动式增长,其中2005年-2012年处于中度耦合时期,2013年-2014年处于高度协调时期;南京城市化综合水平与水资源保护综合水平呈现稳量增长趋势,但后者滞后于前者.为促进南京城市化与水资源保护关系向高度耦合状态发展,应尽快优化产业层级,促进第三产业链的延伸;同时尽快建立水资源保护政府、企业和居民三方参与的协同保护机制.     

基于情景信息扩散模型的雾霾社会风险演化仿真研究

雾霾灾害不仅危害公众健康,且风险信息的传播会引发社会次级风险。为了研究社会风险信息的扩散演化趋势,本文构建了雾霾社会风险的情景信息扩散模型。以中国2013年雾霾灾害为例,将风险信息扩散过程分为爆发期、扩散期和稳定期,分析了不同参数条件下的信息扩散规律。结果表明,政府应在风险信息爆发期和扩散期增大官方渠道信息的覆盖范围,尤其在爆发期需对自由渠道发布的信息进行严格监管,在社会风险扩大之前制定应对策略。     

BP 神经网络模型在环境气象灾害预测中的应用研究--以湖南省为例

依据环境气象数据与自然灾害统计数据,建立BP神经网络模型,对湖南主要气象灾害（洪灾、旱灾、冰冻灾）及受灾经济损失进行实例预测,将在MATLAB7软件中的仿真结果与传统的多元线性回归模型分析结果进行比较和误差分析。结果表明,BP神经网络模型在洪灾、旱灾受灾率方面的预测效果和精度优于多元回归模型,而由于冰灾训练样本不足及经济损失与输入因子的线性相关程度高,在冰灾与受灾经济损失率方面稍逊于多元回归模型。     

佛山市土地可持续利用评价研究

基于资源合理性、经济可行性、生态安全性三个角度选取17项指标构建指标体系,通过熵值法计算各指标的权重,求取非资源合理性（ NREI）、经济可行性（ EEI）、非生态安全性（ NESI）3项综合指数,运用改进的三角模型对佛山市2004年－2011年土地可持续利用状态和趋势展开分析和评价。研究表明：佛山市土地可持续状态总体较差,并且呈现不断恶化趋势。     

基于投入产出分析的虚拟水研究综述及展望

将国内外基于投入产出模型的虚拟水研究进行系统概括,认为按研究层面可以归纳为区域之间的虚拟水贸易和产业间部门用水关联两方面,并指出:(1)目前基于投入产出分析技术的虚拟水研究基本建立在价值型投入产出模型的基础上,实际上将产业虚拟水替代了原本产品虚拟水的概念.(2)目前针对工业品、服务品的虚拟水量化研究不足,并未独立研究非农产品虚拟水量化时的差异性.最后文章提出产业生态学中近年来发展的混合生命周期评价方法(Hybrid life-cycle assessment,HLCA).     

基于灰色理论的废弃电路板金属回收模型研究

电子废弃物的资源化既能实现资源的二次利用,又能防止环境污染,具有重要的理论意义和应用价值.运用灰色理论对离心复合力场回收废弃电路板金属过程中反冲水、转速和浓度等操作参数对分选效果(精矿品位和精矿的回收率)的影响进行了研究,建立了基于GM(0,N)灰色模型的离心复合力场回收废弃电路板分选模型.经验证模型精度较高.     

公路线源大气环境影响预测方法对比分析研究

文章通过从模式原理、范围和特点等方面对AERMOD大气预测模式与EIAA预测模式进行对比分析,以甘肃省天水段G310国道升级改造项目为例,分别采用AERMOD和EIAA两种模式对交通线源排放的特征污染因子CO在各环境空气敏感点的小时最大浓度进行预测,并对预测值与实测值进行对比分析,探讨两种模式在公路线源大气环境影响预测中的适用性及差异性。以期为今后开展道路交通类建设项目大气环境影响预测评价中模式的选取提供参考和借鉴。     

1990年以来长江三角洲耕地资源变化及驱动因子研究

长江三角洲地区是中国经济发展最为快速的地区之一,虽耕地资源秉赋较好,但在经济快速发展的背景下,耕地问题显得十分严峻。以长江三角洲地区16个地级市为研究对象,利用1990~2012年相关数据,以市域为单元分析了耕地资源变化和实际利用强度的时空演变过程。结果表明:(1)1990~2012年,长三角地区的耕地总面积和人均耕地面积呈现周期性的下降趋势,以"快-慢-快-慢-慢"的循环模式逐步降低;(2)长三角地区耕地实际利用强度大体呈现"北强南弱"分布规律,在空间表现上,原来集中连片的 "高-高"、"低-低"格局正逐渐破碎化,开始出现斑点镶嵌式格局;(3)长三角地区的人口、二三产业比重和城市化水平均对耕地面积变化起到显著作用,其弹性系数分别为-0.216、-0.194和-0.203,而人均GDP与耕地面积则没有显著相关性。     

Research on whole life cycle carbon emission model of typical buildings

Based on the theory of life cycle assessment (LCA), this article analyzes the influence factors on carbon emissions from residential buildings. In the article, the life cycle of residential buildings has been divided into five stages: building materials production period, construction period, operation and maintenance period, demolition period, and solid waste recycle and disposal period. Based on this definition, the authors provide a theoretical model to calculate carbon emissions of residential building life cycle. In particular, the factor of human activities was introduced in the calculation of carbon emissions from the buildings. Furthermore, the authors put forward a model for calculation with the unit of carbon emissions for per-capita living space.     

Energy and economic impacts of an international multi-regional carbon market

The establishment of a global multi-regional carbon market is considered to be a cost effective approach to facilitate global emission abatement and has been widely concerned.The ongoing planned linkage between the European Union’s carbon market and a new emission trading system in Australia in 2015 would be an important attempt to the practice of building up an international carbon market across different regions.To understand the abatement effect of such a global carbon market and to study its energy and economic impact on different market participants,this article adopts a global dynamic computable general equilibrium model with a detailed representation of the interactions between energy and economic systems.Our model includes 20 economic sectors and 19 regions,and describes in detail 17 energy technologies.Bundled with fossil fuel consumptions,the emission permits are considered to be essential inputs in each of the production and consumption activities in the economic system to simulate global carbon market policies.Carbon emission permits are endogenously set in the model,and can be traded between sectors and regions.Considering the current development of the global carbon market,this study takes 2020 as the study period.Four scenarios(reference scenario,independent carbon market scenario,Europe Union（EUh-Australia scenario,and China-EU-Australia scenario） are designed to evaluate the impact of the global carbon market involving China,the EU,and Australia.We find that the carbon price in the three countries varies a lot,from $32/tCO₂ in Australia,to $17.5/tCO₂ in the EU,and to $10/tCO₂ in China.Though the relative emission reduction（3%） in China is lower than that in the EU（9%） and Australia（18%）,the absolute emission reduction in China is far greater than that in the EU and Australia.When China is included in the carbon market,which already includes the EU and Australia,the prevailing global carbon price falls from $22 per ton carbon dioxide（CO₂） to $12/tCO₂,due to the relatively lower abatement cost in China.Seventy-one percent of the EU’s and eighty-one percent of Australia’s domestic reduction burden would be transferred to China,increasing 0.03%of the EU’s and 0.06%of Australia’s welfare.The emission constraint improves the energy efficiency of China’s industry sector by 1.4%,reduces coal consumption by3.3%,and increases clean energy by 3.5%.