高技术产业创新资源绩效的时空分异研究——以全球创新型国家为例

构建了高技术产业创新资源绩效评价的投入产出指标体系,利用《美国科学工程分类指标年鉴》及经济合作与发展组织（OECD） 1995-2011年高技术产业活动相关数据,运用超效率DEA模型和区域差异测度锡尔指数对全球28个国家或地区的高技术产业创新资源绩效及各区域创新资源绩效差异进行分析.结果显示：①全球28个国家或地区的高技术产业创新资源绩效水平呈现两级分化趋势.其中,新加坡、瑞士、瑞典、美国4个国家的得分较高,排名靠前,其他国家或地区绩效水平较低.②欧洲、美洲、亚洲-大洋洲之间的高技术产业创新资源绩效水平差异呈现缩小趋势,欧洲区域内部高技术产业创新资源绩效水平差异呈现逐年扩大趋势.     

多举措集成提升电厂节水减排成效

本着分级使用、减少排放、综合利用的原则,根据现场实际情况进行综合治理,重点是增加并完善梯级利用程度,提高水资源利用效率。对除灰、输煤废水这类浊度较大的废水进行自循环利用,禁止外排;完善循环水排污水利用系统;对高含盐量化学废水进行综合利用,达到既减排又可以改善废水水质的目的。     

Exploring the lay/expert divide: the attribution of responsibilities for coal ash pollution in Tuzla,Bosnia and Herzegovina

Invoking expert knowledge is a common strategy in attempts to settle environmental disputes. However, the validity of expertise is contingent upon the context in which an actor is recognised as an expert. In complex environmental conflicts the distinction between lay and expert knowledge is not always fixed a priori. However, as conflicts unfold, intervening parties tend to present their cases in ways that reinforce this distinction. This is apparent in the attribution of environmental responsibilities. This paper presents an empirical case of an environmental conflict related to land contamination due to coal ash disposal in Bosnia and Herzegovina. The analysis revealed two polar positions in the conflict: the first one, mainly held by scientists and industry representatives, invoked expert knowledge and presented a distributed approach to the attribution of responsibilities; the second one, mainly held by local residents and municipal officials, presented an experiential understanding of pollution, as lay knowledge, and attributed direct responsibilities to the local energy industry. The paper concludes that the persistence of the distinction between expert and lay knowledge is a manifestation of the social structures that underlie the conflict.     

秦皇岛森林可持续发展对策探讨

通过分析秦皇岛森林资源现状可知,秦皇岛森林资源开发利用过程中主要存在森林分布不均、质量较低、人工林保存率低、护林资金匮乏等问题,并针对这些问题提出了加强森林资源生态功能的宣传工作、健全法制、加大退耕还林力度、强化管理,增加投入等秦皇岛森林资源可持续发展的对策。     

Flooding in Texas: Examination of Temporal Changes and Impacts of Tropical Cyclones

Annual maximum peak discharge measurements from 62 stations with a record of at least 70 years are used to assess extreme flooding in Texas at the regional scale. This work focuses on examination of the validity of the stationarity assumption and on the impact of tropical cyclones (TCs) on the upper tail of the flood peak distribution. We assess the validity of the stationarity assumption by testing the records for abrupt and gradual changes. The presence of abrupt changes in the first two moments of the flood peak distribution is assessed using the Lombard test. We use the Mann‐Kendall test to examine the presence of monotonic trends. Results indicate that violations of the stationarity assumption are most commonly caused by abrupt changes, which are often associated with river regulation. We fit the time series of stationary flood records with the generalized extreme value distribution to investigate whether TCs control the upper tail of the flood peak distribution. Our results indicate that TCs play a diminished role in shaping the upper tail of the flood peak distribution compared with areas of the eastern United States subject to frequent TCs.     

Air‐Water Temperature Relationships in the Trout Streams of Southeastern Minnesota's Carbonate‐Sandstone Landscape

Carbonate‐sandstone geology in southeastern Minnesota creates a heterogeneous landscape of springs, seeps, and sinkholes that supply groundwater into streams. Air temperatures are effective predictors of water temperature in surface‐water dominated streams. However, no published work investigates the relationship between air and water temperatures in groundwater‐fed streams (GWFS) across watersheds. We used simple linear regressions to examine weekly air‐water temperature relationships for 40 GWFS in southeastern Minnesota. A 40‐stream, composite linear regression model has a slope of 0.38, an intercept of 6.63, and R² of 0.83. The regression models for GWFS have lower slopes and higher intercepts in comparison to surface‐water dominated streams. Regression models for streams with high R² values offer promise for use as predictive tools for future climate conditions. Climate change is expected to alter the thermal regime of groundwater‐fed systems, but will do so at a slower rate than surface‐water dominated systems. A regression model of intercept vs. slope can be used to identify streams for which water temperatures are more meteorologically than groundwater controlled, and thus more vulnerable to climate change. Such relationships can be used to guide restoration vs. management strategies to protect trout streams.     

An Optimization Method for Estimating Constituent Mean Concentrations in Base Flow‐Dominated Flow

Pollutant coefficients have been widely used to assess runoff nonpoint source pollution from individual land uses (e.g., agricultural, residential) of a watershed. Pollutant coefficients, known as event mean concentrations (EMCs), were developed by the U.S. Environmental Protection Agency's Nationwide Urban Runoff Program (NURP) to serve as a national measure for characterizing pollutant loading in a receiving water body. The term “baseflow pollutant coefficient (BPC)” is used in this study as a surrogate for EMC to describe mean concentration of pollutants in base flow‐dominated flow. A method for characterizing base flow quantity and quality for different land uses was explored using inverse modeling with two optimization techniques (a least square method and a genetic algorithm [GA] optimization), land use information, and streamflow quantity and quality data. The inverse model was formulated as a constrained minimization problem and demonstrated with data for 15 watersheds in Indiana. Results showed that estimated pollutant coefficients are comparable to the published literature. This indicates that the proposed method has the potential to effectively estimate constituent mean concentrations for pollutant load determination in gauged and ungauged watersheds, albeit more analysis with larger and more robust datasets is desirable to further refine and validate the accuracy of the approach.     

滇西北农村生活能源使用现状及生物质能源开发利用研究——以兰坪县和香格里拉县为例

少数民族地区农村能源建设是中国能源可持续发展的一个特殊领域,是资源节约型社会和社会主义新农村建设的重要内容。论文以滇西北的兰坪县和香格里拉县的能源使用情况作为研究对象,通过实地调查,分析了在经济仍处于贫困状态的少数民族聚居的西南山区生活能源利用的特点:兰坪县和香格里拉薪柴的使用分别达85%和98%,而以太阳能、沼气、水能为代表的可再生能源的使用仅有7.0%和1.8%,由此产生了一系列的环境问题。论文对促进现代生物质能源的开发利用提出建议:制定农村能源资源开发利用规划,健全能源政策体系,争取国际经济和技术支持等。     

能值分析理论在耕地可持续利用评价中的应用研究——以南京市为例

评价指标体系是耕地可持续利用评价研究的难点,正确选择评价理论与方法,构建科学、合理的评价指标体系,为正确认识耕地利用的可持续性及制定相应政策提供理论与实践依据。文章引入能值理论,在传统评价方法基础上对耕地利用中物流、能流等以太阳能值为统一衡量标准,建立新的指标体系,并对南京市1995~2004年的耕地利用进行评价。结果表明,研究时段内南京市耕地利用是向可持续方向发展的,且其可持续利用经历了两个阶段:①1995~1998年可持续性下降阶段,综合系数从1995年的1逐渐下降到1998年的0.9570;②1998~2004年可持续性上升阶段,综合系数逐年上升到2004年的1.1123。与传统评价方法相比,引入能值理论后的评价结果更能全面、客观地反映耕地利用的可持续状况。     

贵州土地复垦发展现状及其对策研究

详细分析了贵州省土地复垦的发展现状以及近年来所做的工作及成效,研究了矿山开采等活动对贵州省土地资源造成的破坏及生态危害,提出了具体的土地复垦的技术措施。为了实现能源、环境、社会、人口和经济的可持续发展,土地复垦是必然选择。