黑龙江省森林资源动态变化与发展趋势预测

以黑龙江省2004年统计年鉴的统计数据为依据,分析了全省森林资源现状的特点,并以近50多年来森林资源清查数据为基础,对森林资源主要项目的动态变化进行了客观的分析,力求寻找变化的原因.通过建立灰色预测GM(1.1)模型,预测未来时期森林资源发展趋势,提出了相应对策,以期实现科学经营森林以及森林资源的可持续发展.     

三峡库区社区水平乡村路网对森林景观变化的影响

人为扰动是短时空尺度内森林景观变化或用途转换的主要动力,而乡村路网则成为人为扰动拓展的主要通道。基于1992、2002、2014年三峡库区重庆市石柱县西沱镇3期遥感影像和实地调研数据,在ArcGIS平台支持下,研究社区水平乡村路网对森林景观变化的影响。结果表明：1）1992—2014年研究区乡村路网影响域内次生林、退化林地和耕地的动态变化较显著,集中分布在中西部平坦区。1992—2002年乡村路网缓冲区内森林景观整体呈退化趋势,退化类型以次生林→退化林地、次生林→耕地、退化林地→耕地为主,演化量达1 705.91 hm²;2002—2014年乡村路网缓冲区内森林景观主要呈恢复趋势,恢复类型以耕地→退化林地、耕地→次生林、退化林地→次生林和原始林→退化原始林为主,演化量达1 674.52 hm²。2）相比发现,前一时期研究区乡村路网长度的增加和路网材质的提升很大程度上驱动森林景观的退化,而后一时期低等级路段的消失、废弃或利用率的降低则有助于森林景观的恢复,消失路段恢复率近100%。3）研究有助于丰富人们对社区水平乡村路网影响森林景观变化的理解与认识,为生态文明建设中合理规划乡村路网提供科学依据。     

连云港市空气质量变化趋势分析

依据连云港市2002—2011年空气质量监测数据,对连云港市空气质量现状及其变化趋势进行系统的分析,并结合实际提出相应对策建议。结果表明,近年来连云港市空气质量总体良好,SO2浓度逐年下降,NO2浓度变化较平稳,PM10浓度下降显著。污染物浓度表现出明显的季节性特征,夏季浓度较低,春冬季较高;主城区各污染物浓度高于其他地区,但总体呈下降趋势。     

喀斯特石山地区社会经济与生态环境可持续发展系统研究:以桂西北为例

本建立了广西西北部喀斯特石山地区可持续发展的系统动力学模型。并用DYNAMO程序预测了未来20年桂西北地区的人口、工业、农业、第三产业，生态环境，土地资源，社会总产值，人均国民收人等的动态变化趋势，结果显示，该地区由于人口，工业资产增加使物质和能源消耗增长太快，而对污染治理的投入又太少，导致桂西北地区的生存环境质量下降，因此应当加大对污染治理的投入力度，改善区域环境质量，这是实现息烽县区域可持续发展的关键，根据区域特点探讨了桂西北喀斯特贫困山区的形成演化，提出了可持续发展的途径。     

高加速应力试验装置技术参数的测量

气锤驱动的高加速应力试验装置,能产生温度和非高斯随机振动应力,其中振动应力是由多个气锤作六自由度运动产生的。一般用来进行高温步进、低温步进、快速温度变化、振动、快速温变和振动复合试验。目前国家标准和校准规程中均无关于该试验装置的技术参数的校准方法。本文结合试验装置的技术特点,提出了几个关于温度和振动技术参数的测量方法,如:温度偏差、温度波动度、温度均匀度、温度过冲量、温度变化速率、均方根加速度、横向振动比、功率谱密度等。     

基于RS和GIS的山东省17城市生态环境质量动态变化研究

运用遥感动态监测与地理信息系统技术相结合的方法,以2005年和2009年遥感解译数据、土地侵蚀数据及环境统计数据为数据源,依据《生态环境状况评价技术规范(试行)》(HJ/T192-2006),对山东省17个城市生态环境质量现状及动态变化趋势进行了评价。结果表明:2009年17个城市生态环境状况指数在59.81～78.08之间,生态环境质量状况总体良好;2005-2009年17城市生态环境状况指数变化值在0.06～3.5之间,生态环境质量状况基本稳定。     

Addressing climate change: Determinants of consumers' willingness to act and to support policy measures

Consumers influence climate change through their consumption patterns and their support or dismissal of climate mitigation policy measures. Both climate-friendly actions and policy support comprise a broad range of options, which vary in manifold ways and, therefore, might be influenced by different factors. The aims of the study were, therefore, two-fold: first, we intended to find a meaningful way to classify different ways of addressing climate change. Second, we aimed to examine which determinants influence people's willingness to engage in these behaviors. We conducted a large-scale mail survey in Switzerland in which respondents rated, among other items, their willingness to act or support a range of possible actions and mitigations measures. A principal component analysis indicated that a distinction in terms of a behavior's directness as well as a differentiation according to perceived costs seem to be appropriate to classify climate-friendly actions. Multiple regression analyses showed that perceived costs and perceived climate benefit turned out to be the strongest predictors for willingness to act or to support climate policy measures. The strong influence of perceived climate benefit might reflect a strategy of reducing cognitive dissonance. As high-cost behaviors are more difficult to adopt, consumers may reduce dissonance by dismissing high-cost behaviors as not effective in terms of climate mitigation. Political affiliation proved to be another strong determinant of willingness to act or support. Participants on the right wing were less willing to show indirect climate-friendly behaviors, change their mobility behaviors, and to support any type of climate mitigation policy measures. Climate-friendly low-cost behaviors, however, were not influenced by political affiliation.     

Consistent assessments of pathways toward sustainable development and climate stabilization

Many of the numerous difficult issues facing the world today involve relationships entailing trade‐offs and synergies. This study quantitatively assesses some alternative scenarios using integrated assessment models, and provides several indicators relating to sustainable development and climate change, such as indicators of income (per capita GDP), poverty, water stress, food access, sustainable energy use, energy security, and ocean acidification, with high consistencies among the indicators within a scenario. According to the analyses, economic growth helps improve many of the indicators for sustainable development. On the other hand, climate change will induce some severe impacts such as ocean acidification under a non‐climate intervention scenario (baseline scenario). Deep emission reductions, such as to 2°C above the pre‐industrial level, could cause some sustainable development indicators to worsen. There are complex trade‐offs between climate change mitigation levels and several sustainable development indicators. A delicately balanced approach to economic growth will be necessary for sustainable development and responses to climate change.     

Impacts of Climate Change on Hydrology and Water Resources in the Boise and Spokane River Basins1

Jin, Xin and Venkataramana Sridhar, 2012. Impacts of Climate Change on Hydrology and Water Resources in the Boise and Spokane River Basins. Journal of the American Water Resources Association (JAWRA) 48(2): 197‐220. DOI: 10.1111/j.1752‐1688.2011.00605.x Abstract: In the Pacific Northwest, warming climate has resulted in a lengthened growing season, declining snowpack, and earlier timing of spring runoff. This study characterizes the impact of climate change in two basins in Idaho, the Spokane River and the Boise River basins. We simulated the basin‐scale hydrology by coupling the downscaled precipitation and temperature outputs from a suite of global climate models and the Soil and Water Assessment Tool (SWAT), between 2010 and 2060 and assess the impacts of climate change on water resources in the region. For the Boise River basin, changes in precipitation ranged from ?3.8 to 36%. Changes in temperature were expected to be between 0.02 and 3.9°C. In the Spokane River region, changes in precipitation were expected to be between ?6.7 and 17.9%. Changes in temperature appeared between 0.1 and 3.5°C over a period of the next five decades between 2010 and 2060. Without bias‐correcting the simulated streamflow, in the Boise River basin, change in peak flows (March through June) was projected to range from ?58 to +106 m³/s and, for the Spokane River basin, the range was expected to be from ?198 to +88 m³/s. Both the basins exhibited substantial variability in precipitation, evapotranspiration, and recharge estimates, and this knowledge of possible hydrologic impacts at the watershed scale can help the stakeholders with possible options in their decision‐making process.     

Adaptation Bridges and Barriers in Water Planning and Management: Insight from Recent Extreme Droughts in Arizona and Georgia1

Abstract: It is critical to understand the ability of water management to prepare for and respond to the likely increasing duration, frequency, and intensity of droughts brought about by climate variability and change. This article evaluates this ability, or adaptive capacity, within large urban community water systems (CWSs) in Arizona and Georgia. It analyzes interview data on the bridges and barriers to adapting water management approaches in relation to extreme droughts over the past decade. This study not only finds levers for building adaptive capacity that are unique to each state but also identifies several unifying themes that cut across both cases. The interviews also show that a particular bridge or barrier, such as state regulation, is not universally beneficial or detrimental for building adaptive capacity within each state. Such knowledge is useful for improving water and drought management and for understanding how CWSs might prepare for future climate variability and change by removing the barriers and bolstering the bridges in efforts to build adaptive capacity.