Environmental Control and Limnological Impacts of a Large Recurrent Spring Bloom in Lake Washington,USA

A series of statistical analyses were used to identify temporal and spatial patterns in the phytoplankton and nutrient dynamics of Lake Washington, an mesotrophic lake in Washington State (USA). These analyses were based on fortnightly or monthly samples of water temperature, Secchi transparency, ammonium (NH₄), nitrate (NO₃), inorganic phosphorus (IP), total nitrogen (TN), total phosphorus (TP), dissolved oxygen (DO), pH and chlorophyll a (chl a) collected during 1995–2000 from 12 stations. Lake Washington has a very consistent and pronounced annual spring diatom bloom which occurs from March to May. During this bloom, epilimnetic chl a concentrations peak on average at 10 μg/L, which is 3 times higher than chl a concentrations typically seen during summer stratified conditions. The spring bloom on average comprised 62% diatoms, 21% chlorophytes and 8% cyanobacteria. During summer stratification, diatoms comprised 26% of the phytoplankton community, chlorophytes 37% and cyanobacteria 25%. Cryptophytes comprised approximately 8% of the community throughout the year. Overall, 6 phytoplankton genera (i.e., Aulacoseira, Fragilaria, Cryptomonas, Asterionella, Stephanodiscus, and Ankistrodesmus) cumulatively accounted for over 50% of the community. These analyses also suggest that the phytoplankton community strongly influences the seasonality of NO₃, IP, DO, pH and water clarity. According to a MANOVA, seasonal fluctuations explained 40% of the total variability for the major parameters, spatial heterogeneity explained 10% of variability, and the seasonal-spatial interaction explained 10% of variability. Distinctive patterns were identified between offshore and inshore sampling stations. The results of our analyses also suggest that spatial variability was substantial, but much smaller than temporal variability.     

加快建立中国社会主义市场经济下的工业环境管理新模式

本文论证社会主义市场经济下环境管理模式与推行清洁生产工艺(无废、少废及高效转换工艺)的关系,剖析市场经济国家环境管理模式的精髓,密切结合推行工业生产全过程控制(包括环境标志这种反向控制手段),提出加快建立中国社会主义市场经济下的工业环境管理新模式。      

基于3S技术的矿产资源开发景观格局动态变化研究——以木里县梭罗沟金矿改扩建工程为例

本文在阐述3S技术特点的基础上,以四川省木里县梭罗沟金矿改扩建工程所在地的梭罗沟和如米沟为研究区,介绍了3S技术在景观格局信息提取的技术要求、数据收集和工作流程,并对研究区景观格局的提取结果进行了动态变化预测与分析。实例研究证明,3S技术是景观生态学研究的重要技术工具,应用3S技术开展矿产资源开发景观格局动态评价,可以准确、快速地提取景观格局的主要特征指标,掌握景观格局现状、预测其动态变化特征、揭示其变化规律,满足区域景观格局研究的要求。本研究方法适用于生态类建设项目或区域开发规划的景观格局中短期动态预测研究,不宜用于景观格局长期的动态预测。     

Critical Review of Environmental Forensic Techniques: Part II

A multitude of forensic techniques are available for age dating and source identification, including aerial photography interpretation, corrosion models, the commercial availability of a chemical, chemical associations with discrete types of equipment, chemical profiling, degradation models and contaminant transport models. The success of these techniques in environmental litigation and their applicability to a particular fact situation is rarely discussed in the literature. When these techniques are introduced as scientific evidence, their governing assumptions and the adequacy of the underlying data are rigorously scrutinized and often, successfully challenged. The purpose of this paper is to review selected forensic techniques and discuss their merits so that the user can select the technique or combination of techniques most appropriate for the factual elements of the case.     

Detecting deforestation with a spectral change detection approach using multitemporal Landsat data: a case study of Kinabalu Park, Sabah, Malaysia

Tropical deforestation is occurring at an alarming rate, threatening the ecological integrity of protected areas. This makes it vital to regularly assess protected areas to confirm the efficacy of measures that protect that area from clearing. Satellite remote sensing offers a systematic and objective means for detecting and monitoring deforestation. This paper examines a spectral change approach to detect deforestation using pattern decomposition (PD) coefficients from multitemporal Landsat data. Our results show that the PD coefficients for soil and vegetation can be used to detect deforestation using change vector analysis (CVA). CVA analysis demonstrates that deforestation in the Kinabalu area, Sabah, Malaysia has significantly slowed from 1.2% in period 1 (1973 and 1991) to 0.1% in period 2 (1991 and 1996). A comparison of deforestation both inside and outside Kinabalu Park has highlighted the effectiveness of the park in protecting the tropical forest against clearing. However, the park is still facing pressure from the area immediately surrounding the park (the 1km buffer zone) where the deforestation rate has remained unchanged.     

国家湿地公园时空格局特征

采用标准差椭圆、点模式分析、统计分析等方法,运用ArcGIS可视化技术,从时间和空间视角分析国家湿地公园的空间格局特征,并探究其与城市的区位关系。研究表明：（1）国家湿地公园在时间序列上分为试点起步阶段、发展与成长阶段和规范发展阶段,各地发展不均衡,“质”的发展不同步于“量”,正式国家湿地公园处于规范发展的起步时期;（2）多尺度空间研究表明正式国家湿地公园空间以聚集分布形态为主,随机分布为辅,整体呈东北—西南分布格局,形成2个高密度热点区和3个中密度次热点区;（3）从城市尺度看,正式国家湿地公园呈现较大空间异质性,具有偏向城市规划区内或靠近城市规划区分布的特征;（4）正式国家湿地公园呈现为人口格局主导特征,响应了胡焕庸线的指导意义。     

高位池养殖环境经济及模式分析

对海南省高位池养殖进行环境经济损益分析,为客观评价高位池养殖在社会经济发展中的地位提供参考,同时对不同养殖模式进行了比较,提出了目前适宜的养殖模式。     

Simulating forest succession after blowdown events: The crucial role of space for a realistic management

Ecological patterns vary in space and time. Therefore, when using dynamic models in ecology, the spatial aspect should not be neglected prematurely since it could possibly change the model outcomes to a considerable extent. In view of this problem, we describe here a method how to construct a non-spatial version from a spatially explicit simulation model. The principle idea is to suppress the spatial correlations of cells in a grid in time by continuously re-assigning a random neighbourhood for each cell on the grid. Since this procedure actually eliminates the spatial dimensions, it allows to quantify the unadulterated impact of spatial processes on the model results. To illustrate an important application of this approach in the context of forest management we use a grid-based model that simulates succession of Norway spruce (Picea abies (L.) Karst.) at mountainous sites after blowdown events. The output of this model is compared with the results of the deduced non-spatial version of this model regarding the predicted amount of re-growing trees. The non-spatial version dramatically overestimates the number of spruce trees on different microsites. Thus, the uncritical use of the non-spatial model might give reason to wrong management decisions that are based on too optimistic predictions. In practice, this may lead to dangerous situations, especially in mountain forests serving as protection against avalanches and landslides. This example demonstrates the successful applicability of our approach. Our method can be interpreted as a contribution to an extended sensitivity analysis: it analyses the sensitivity of the results due to structural changes of the model. This sensitivity allows one to estimate the redundancy or the necessity of spatially explicit processes in a model with regard to the parsimony principle of modelling. Since our approach is not dependent on special features of the simulation model used here, it is assumed to be applicable for other spatial models, too, and can thus be considered of general interest for a diligent model analysis.     

环境质量消费的经济学分析

以理性经济人，环境质量的需求和供给可以充分市场化，环境质量与地租正相关为理论假并把消费者抽象为高，低收入两个团体，通过建立理论模型来探讨消费者收入水平，环境质量的供给特性和环境质量消 这间的一般规律，结果表明（１）消费者收为公共物品，它 给方式也影响实际消费，由于环境质量存在空间差异，这种影响可以通过空间迁移选择来体现；（４）政府通过管理来调控环境质量供给，需求和消费的再分配。     

Development pattern and enhancing system of automotive components remanufacturing industry in China

Along with the increasing number of automotive output and End-of-Life vehicles (ELVs) in China, resources shortage and environmental pollution are aggravating, so the tremendous need to reuse automotive components gives birth to the industry. The Chinese government becomes to realize that it is necessary to build a conservation-oriented and environment-friendly harmonious society. As the ultimate form of recycling, remanufacturing will be an effective method to promote the development of Chinese circular economy. The automotive remanufacturing industry in China is just at the preliminary stage, this paper presents some problems before remanufacturing, during remanufacturing and after remanufacturing, and then it points out several barriers, such as restrictive policies and regulations, consumer acceptance, scarcity of technologies, etc. Like many other developed countries, Chinese remanufacturing industry will also experience the primary stage, growth stage and developed stage. while the emphasis of resources input will not be the same. By analyzing the resources input characteristics at different development stages, three development patterns, such as the Government Incenting Pattern, Technology Driving Pattern and Market Leading Pattern, are put forward. At present, the cooperation of the government, industry, universities and research institutes, etc, will jointly construct the enhancing system of automotive components remanufacturing industry in China. Finally, it concludes with a summary and some suggestions in the field.