区域规划环境影响跟踪评价的理论研究

随着环境影响评价制度的深入实施,其实施领域已由项目环评向区域环评和规划环评转变,评价内容也由广泛实施的预测评价向后评价和跟踪评价转变。然而,对于区域规划环评的评价层次、评价程序和评价内容,目前还没有明晰的认识;同时,对于促进规划环评有效实施的跟踪评价,其相关的理论和实践研究几乎没有。文中就此问题作了深入探讨。     

Environmental implications of planned obsolescence and product lifetime: a literature review

The aim of this paper was to explore the implications of planned obsolescence (PO) and the associated product lifetime on the environmental impact of products. To achieve this task, a literature review was performed to assess both the historical context and recent situation of planned obsolescence. A search in scholarly journals was performed to evaluate to what extent product lifetime and PO have been discussed in the recent literature. Based on the findings, selected cases of PO are discussed and trends in the practice of limiting product lifetime are identified. Factors considered to have a significant influence on product lifetime have been identified and discussed. The discussion of case studies made it possible to establish the links between product design, manufacturing and associated impacts of lifetime. The role of the actors along the value chain is also considered to propose a business scheme, where the influences of consumer behaviour and design choices are crucial. Finally, strategies to facilitate the definition of different scenarios are given. These strategies may serve to increase the reliability of environmental assessment throughout a product life cycle.     

Impacts of Changes in Precipitation Amount and Distribution on Water Resources Studied Using a Model Rainwater Harvesting System

Water supply reliability is expected to be affected by both precipitation amount and distribution changes under recent and future climate change. We compare historical (1951‐2010) changes in annual‐mean and annual‐maximum daily precipitation in the global set of station observations from Global Historical Climatology Network and climate models from the Inter‐Sectoral Impact Model Intercomparison Project (ISI‐MIP), and develop the study to 2011‐2099 for model projections under high radiative forcing scenario (RCP8.5). We develop a simple rainwater harvesting system (RWHS) model and drive it with observational and modeled precipitation. We study the changes in mean and maximum precipitation along with changes in the reliability of the model RWHS as tools to assess the impact of changes in precipitation amount and distribution on reliability of precipitation‐fed water supplies. Results show faster increase in observed maximum precipitation (10.14% per K global warming) than mean precipitation (7.64% per K), and increased reliability of the model RWHS driven by observed precipitation by an average of 0.2% per decade. The ISI‐MIP models show even faster increase in maximum precipitation compared to mean precipitation. However, they imply decreases in mean reliability, for an average 0.15% per decade. Compared to observations, climate models underestimate the increasing trends in mean and maximum precipitation and show the opposite direction of change in reliability of a model water supply system.     

Robustness of Meteorological Droughts in Dynamically Downscaled Climate Simulations

We examine the robustness of a suite of regional climate models (RCMs) in simulating meteorological droughts and associated metrics in present‐day climate (1971‐2003) over the conterminous United States (U.S.). The RCMs that are part of North American Regional Climate Change Assessment Program (NARCCAP) simulations are compared with multiple observations over the climatologically homogeneous regions of the U.S. The seasonal precipitation, climatology, drought attributes, and trends have been assessed. The reanalysis‐based multi‐model median RCM reasonably simulates observed statistical attributes of drought and the regional detail due to topographic forcing. However, models fail to simulate significant drying trend over the Southwest and West. Further, reanalysis‐based NARCCAP runs underestimate the observed drought frequency overall, with the exception of the Southwest; whereas they underestimate persistence in the drought‐affected areas over the Southwest and West‐North Central regions. However, global climate model‐driven NARCCAP ensembles tend to overestimate regional drought frequencies. Models exhibit considerable uncertainties while reproducing meteorological drought statistics, as evidenced by a general lack of agreement in the Hurst exponent, which in turn controls drought persistence. Water resources managers need to be aware of the limitations of current climate models, while regional climate modelers may want to fine‐tune their parameters to address impact‐relevant metrics.     

中国旅游业CO_2排放区域差异的空间分析

在旅游业节能减排形势严峻的背景下,深入研究中国旅游业CO_2排放问题,制定科学的区域节能减排政策已刻不容缓。本文首先运用"自下而上"法,估算了1993-2012年中国整体旅游业、旅游业各分部门、大陆各省区(不含西藏)旅游业CO_2排放量。在此基础上,对全国及三大地带旅游业CO_2排放的总体特征进行分析;利用Theil指数法分析了中国旅游业CO_2排放强度的区域差异、区域内差异和区域间差异;运用AreView软件对中国旅游业CO_2排放强度的省际差异进行直观图示。分析结果显示:1993-2012年,中国旅游业CO_2排放量从1 480.868×10~4t升至6 274.129×10~4t;全国及三大地带旅游业CO_2排放强度整体上呈现出先显著下降、再缓慢梯度下降的趋势;中国旅游业CO_2排放强度空间分布不均匀,东部地区旅游业CO_2排放强度低于中部和西部地区;中国旅游业CO_2排放强度的区域总体差异、区域间差异和区域内差异整体呈逐渐缩小的趋势,区域间差异对总体差异的贡献率为94%-98%,区域间差异占主导地位;中国旅游业CO_2排放强度省际差异明显,属于旅游业CO_2排放强度弱显著区的省区基本位于东部沿海地区,河北、湖南、河南、广西、甘肃和新疆等省区频繁出现在旅游业CO_2排放强度强显著区之列,因此上述省区应是中国旅游业CO_2未来节能减排的区域重点。据此提出差别化的CO_2减排对策:东部地区应通过技术改进和调整产业结构、能源消费结构来降低CO_2排放强度,并以此带动中部和西部地区旅游业节能减排;中部和西部地区应加强与东部地区合作,将提高能源使用率、降低CO_2排放强度作为旅游业减排工作的重点。     

资源产业空间集聚与区域经济增长:“资源诅咒”效应实证

针对"资源诅咒"研究中自然资源度量指标选取存在的科学性问题,利用资源产业空间集聚代替自然资源丰裕度和资源产业依赖度作为自然资源丰裕程度的解释变量。首先,在Krugman空间基尼系数的基础上,构建适用于测度资源产业空间集聚的计算公式,基于我国30个省(区、市)层面的数据,量化1999—2013年间资源产业的空间集聚程度,分析其排名情况和分布格局。研究显示:我国有15个省(区、市)存在资源产业空间集聚现象,这些地区大多位于长江以北,且均为自然资源富集地区。其次,构建经济增长计量模型,选取存在资源产业空间集聚现象的省(区、市)作为样本空间,并采用多种计量分析和检验方法考察资源产业空间集聚度与区域经济增长之间的直接和间接关系,分析"资源诅咒"的传导机制。研究显示:1在模型整体估计中,资源产业空间集聚的系数符号均为负,且在5%的水平上显著,说明资源产业空间集聚与区域经济增长间的关系呈现负相关,符合"资源诅咒"的基本假设。2在模型分步估计中,人力资本投资、技术创新投入和制造业发展与区域经济增长正相关,符合经典经济增长理论的逻辑关系;物质资本投资与区域经济增长负相关,可能是由于当地经济主体的消费跨期替代弹性较小,导致物质资本投资对经济增长的直接增益效应小于其对社会人力资本积累的负向效应,进而阻碍区域经济增长;政府干涉程度越高越不利于经济增长。根据研究结果,建议应明确市场调节为主、政府调控为辅的导向机制,进一步提升资源产业空间集聚程度,强化行业人员素质与技术水平匹配,逐步提高自然资源生产和利用效率,从而实现加快地区经济转型,有效促进经济可持续发展的全面提升。     

近52年来洞庭湖流域气象干旱的时空分布特征

基于洞庭湖流域84个气象站点1962~2013年的逐日气象资料,利用综合干旱指数(CI)对洞庭湖流域气象干旱的时间和空间特征进行分析。结果表明:在过去52 a,区域性干旱强度较强的时段以夏季、秋季、夏秋和秋冬时节为主;区域干旱强度在春季、夏季、夏秋、冬季呈上升趋势;秋冬时节和年干旱强度变化不明显;春夏时节、夏秋时节、秋冬时节和冬春时节的平均干旱强度比春、夏、秋、冬单个季节的平均干旱强度大。小波分析表明,区域干旱强度的周期以10a为主周期,5 a和22 a为次周期。近52 a来,历年干旱站次比主要集中于10%~30%之间,多表现为区域性干旱,以夏季和秋季的干旱范围较大;干旱频率高发时期主要为夏季、夏秋时节和秋季。干旱频率高发地主要以流域的南部山地和北部的洞庭湖平原为主,西北部的山地发生干旱相对较少,衡邵盆地随季节变化干旱频率易发生高低值转换。     

长江中游城市群经济与生态成本空间演化模式分析

综合运用变异系数、泰尔指数及ESDA-GIS多种方法,在充分考虑传统经济影响因子的基础上,尝试引入经济发展生态成本指标,分析长江中游城市群经济综合发展水平与生态成本的空间匹配及演化模式。研究表明:经济综合发展水平高低聚集特征明显,空间极化现象是导致区域经济发展不平衡的主要原因;生态成本空间集聚现象以高高集聚和低低集聚为主,且呈现出高高集聚减少、低低集聚增多的现象,生态成本消耗有所改善;2001~2012年长江中游城市群市域经济综合发展水平与生态成本表现出越来越显著的差异化空间格局,呈现出由低经济综合发展水平-低生态成本过渡到高经济综合发展水平-高生态成本,进而发展到高经济综合发展水平-低生态成本的空间匹配模式的阶段性特征;高经济综合发展水平-高生态成本的经济发展模式仍在大部分城市中存在,经济与生态空间协调发展的潜力仍然很大。     

Determination of Frequency for Remeasuring Ground and Vegetation Cover Factor Needed for Soil Erosion Modeling

Determining a remeasurement frequency of variables over time is required in monitoring environmental systems. This article demonstrates methods based on regression modeling and spatio-temporal variability to determine the time interval to remeasure the ground and vegetation cover factor on permanent plots for monitoring a soil erosion system. The spatio-temporal variability methods include use of historical data to predict semivariograms, modeling average temporal variability, and temporal interpolation by two-step kriging. The results show that for the cover factor, the relative errors of the prediction increase with an increased length of time interval between remeasurements when using the regression and semivariogram models. Given precision or accuracy requirements, appropriate time intervals can be determined. However, the remeasurement frequency also varies depending on the prediction interval time. As an alternative method, the range parameter of a semivariogram model can be used to quantify average temporal variability that approximates the maximum time interval between remeasurements. This method is simpler than regression and semivariogram modeling, but it requires a long-term dataset based on permanent plots. In addition, the temporal interpolation by two-step kriging is also used to determine the time interval. This method is applicable when remeasurements in time are not sufficient. If spatial and temporal remeasurements are sufficient, it can be expanded and applied to design spatial and temporal sampling simultaneously.