吐曼河近5a水质变化浅析

通过单因子评价法对吐曼河水质现状及近期变化趋势进行了分析,揭示了近几年来吐曼河水质年内及年际变化的特点,以期对吐曼河水污染治理提供参考。     

建筑行业发展与低碳生活的推广探讨

低碳生活是一种自然地节约各种资源的习惯,是一种生活习惯。气候变化是本世纪最严重的全球问题之一,不断推进低碳生活是减少人类生活对气候影响的重要途径。低碳生活推广后,消费者对建筑的规划、环境影响以及节能等关注将增加,进而影响建筑行业的发展。在分析低碳生活对建筑影响的基础上,提出了包括人才培养、政策支持和扩大宣传的多级支持发展建议。     

1961—2008年新疆阿克苏地区降水、温度变化特征

利用阿克苏地区5个气象站1961—2008年的降水和温度资料,对近50 a来该地区气候变化及其趋势进行了分析。各气象站年降水量变化趋势基本一致,总体上都呈增加趋势。除库车县气象站年平均温度呈降低趋势外,其余呈上升趋势。总体上,阿克苏地区年降水量和年平均温度均呈上升趋势。     

Monitoring Regional Riparian Forest Cover Change Using Stratified Sampling and Multiresolution Imagery1

Claggett, Peter R., Judy A. Okay, and Stephen V. Stehman, 2010. Monitoring Regional Riparian Forest Cover Change Using Stratified Sampling and Multiresolution Imagery. Journal of the American Water Resources Association (JAWRA) 46(2):334-343. DOI: 10.1111/j.1752-1688.2010.00424.x Abstract: The Chesapeake Bay watershed encompasses 165,760 km² of land area with 464,098 km of rivers and streams. As part of the Chesapeake Bay restoration effort, state and federal partners have committed to restoring 26,000 miles (41,843 km) of riparian forest buffers. Monitoring trends in riparian forest buffers over large areas is necessary to evaluate the efficacy of these restoration efforts. A sampling approach for estimating change in riparian forest cover from 1993/1994 to 2005 was developed and implemented in Anne Arundel County, Maryland, to exemplify a method that could be applied throughout the Bay watershed. All stream reaches in the county were stratified using forest cover change derived from Landsat imagery. A stratified random sample of 219 reaches was selected and forest cover change within the riparian buffer of each sampled reach was interpreted from high-resolution aerial photography. The estimated footprint of gross change in riparian forest cover (i.e., the sum of gross gain and gross loss) for the county was 1.83% (SE = 0.22%). Stratified sampling taking advantage of a priori knowledge of locations of change proved to be a practical and efficient protocol for estimating riparian forest buffer change at the county scale and the protocol would readily extend to much broader scale monitoring.     

北京和上海典型复合包装废物处置环境影响比较

采用生命周期评价法研究比较了北京和上海两地纸塑铝复合包装处置阶段的环境影响。通过现场和资料调研的方式获得此阶段的能量物质的输入输出和环境外排数据。结果表明:北京和上海两地纸塑铝复合包装处置阶段的环境影响潜值分别为-0.428 Pt和9.776 Pt,其主要集中在气候变化、土地占用和无机物对健康的损害三方面;每提高10%的回收率,其环境影响潜值北京和上海可分别降低5.446 Pt和5.799 Pt;上海地区纸塑铝复合包装处置阶段对环境的影响在任何同回收率的情况都要高于北京地区,其主要原因是上海地区填埋产生的温室气体释放量过大和再生企业距离打包点较远。     

中国农村经济制度变迁与农业周期性增长分析

农业增长除受到基本投入要素的影响,还受制度因素的影响。对于制度因素对农业增长的影响的研究,大多文献是从定性的角度分析。本文运用计量经济学和统计方法,通过对1978-2007年总体和不同阶段农业增长与农村土地制度、价格制度、财政制度和税费制度进行理论和实证分析,探讨制度变迁对农业生产总值增长的推动作用。文章通过分析发现,我国农业在要素投入并没有周期性变化的情况下,农业总产值增长率却呈现一定的周期性。为了探究农业周期性增长的原因,本文结合我国农村经济制度变迁的路径和农业总产值指数变化的特点,将改革开放以来我国农业增长分为三个阶段进行分析,同时根据Griliches生产函数构造计量分析模型。通过分析发现,正是由于不同阶段农村土地制度、价格制度、财政制度和税费制度的变迁,导致农业生产总值增长率周期性起伏。因此,制度变迁是改革开放后中国农业经济增长的内在决定性因素。     

中国现代城镇化发育的能源消费

城镇是现代社会财富积累的中心。矿物燃料为主的一次能源不仅是现代人类社会发展的基本动力来源,也是现代城镇化发育的基本动力来源。随着城镇化发育不断走向成熟,城镇的生存和发展对能源消费的依赖日趋强烈。这种消费需求不仅体现在总量增长方面,而且更体现在质量提高方面。世界和中国的实践均证明了这一点。所不同者,在产业发展政策和能源消费政策的作用下,中国现代城镇化发育的能源消费表现出明显的不尽人意:第一,能源消费总量增长迅速,甚至进入21世纪以来也是如此;第二,能源消费结构演进缓慢、特别是进入国家城镇化快速发育阶段后的表现更是如此;第三,能源产出效率提高有限,甚至出现一定程度的倒退。如此能源消费特征,对中国城镇化的持续发育构成了巨大挑战,因此,建议加快城镇产业结构调整、推进能源消费结构演进和提高城镇能源消费质量。     

气候变化对洪湖湿地的影响

气候变化影响着湿地生态系统。在全球气候变化的背景下,洪湖湿地区域气候也发生了明显变化。通过对洪湖周边4个站点1961~2004年的气象数据分析,从气象学和生态学的角度探讨了气候变化对洪湖湿地的影响。结果表明20世纪60年代以来,洪湖湿地区域气温有显著升高趋势,气温增加倾向率为0264℃/10 a;年降水量有微弱升高趋势,增加倾向率为49964 mm/10 a;降水量夏季和冬季有升高趋势,但是春季和秋季有减弱趋势。气候要素的综合变化使洪湖湿地区域湿润系数具有降低趋势。气候变化造成洪湖湿地面积萎缩、水位降低,同时造成了生物多样性降低和生物入侵,降水格局的变化改变了湿地水文状况,加剧了湿地的生态不稳定性。研究结果为湿地恢复重建和本区湿地生态安全提供了科学依据.     

上海霾气候数据序列重建及其时空特征

利用上海11个气象站点1960～2008年日均相对湿度、能见度以及天气现象资料,重建了上海近50a霾气候数据序列,并从时间和空间两个方面分析了上海霾日数的气候特征和变化规律。结果表明,上海霾气候数据序列重建值与报表记录值之间变化形态存在着较好的一致性,重建值较记录值偏高。1960～2008年,上海霾日数以9.7d/10a的线性趋势显著增加,2002年以后霾日数总体上呈减少趋势。上海多年平均霾日数以冬季最多而夏季最少。近50a,上海霾日数呈现出西南部最多-市区较多-东北和东南部最少的空间分布,霾日数的空间变化趋势则表现为西南部增加较多而东部增加较少。1981～2008年,上海霾日数在西部和南部都增加,东部则减少。     

Effects of input uncertainty and variability on the modelled environmental fate of organic pollutants under global climate change scenarios

Global climate change (GCC) is expected to influence the fate, exposure and risks of organic pollutants to wildlife and humans. Multimedia chemical fate models have been previously applied to estimate how GCC affects pollutant concentrations in the environment and biota, but previous studies have not addressed how uncertainty and variability of model inputs affect model predictions. Here, we assess the influence of climate variability and chemical property uncertainty on future projections of environmental fate of six polychlorinated biphenyl congeners under different GCC scenarios using a spreadsheet version of the ChemCAN model and the Crystal Ball® software. Regardless of emission mode, results demonstrate: (i) uncertainty in degradation half-lives dominates the variance of modelled absolute levels of PCB congeners under GCC scenarios; (ii) when the ratios of predictions under GCC to predictions under present day climate are modelled, climate variability dominates the variance of modelled ratios; and (iii) the ratios also indicate a maximum of about a factor of 2 change in the long-term average environmental concentrations due to GCC that is forecasted between present conditions and the period between 2080 and 2099. We conclude that chemical property uncertainty does not preclude assessing relative changes in a GCC scenario compared to a present-day scenario if variance in model outputs due to chemical properties and degradation half-lives can be assumed to cancel out in the two scenarios.