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181.
佛山市汾江河流域水污染物排放标准研究 总被引:1,自引:0,他引:1
随着汾江河综合整治的深入,现有排放标准已无法满足汾江河流域水体治理要求,迫切需要收紧汾江河流域排放标准。本论文简单介绍了汾江河流域基本情况,确定了标准制定原则及技术路线,分析了汾江河水环境和工业污染源现状,从而确定流域重点污染源和特征污染物。通过建立水流-水质模拟系统,计算汾江河主要污染因子水环境容量,并进行标准实施后的效益分析。 相似文献
182.
Mark Lansdale Jennifer Parkin Simon Austin Thom Baguley 《Journal of environmental psychology》2011,31(4):407-420
Graduate researchers are an essential part of higher education (HE) in terms of its contribution to knowledge and the wider economy, but how the work environment influences behaviour and productivity in this work domain is poorly understood. Nevertheless, building programmes continue with a detectable trend towards more open office designs. Beyond issues of cost-efficiency, this reflects a popular belief in the significance of face-to-face interaction to research productivity. Using a combination of subjective and quantitative methods, this case study investigates the validity of this claim and how a redesigned environment impacts upon work practices and collaboration within a community of researchers. Although the new environment was judged favourably by occupants and managers, analysis suggests a less positive behavioural response. Contrary to expectation, we conclude that providing open plan environments is not sufficient to produce more collaborative practices in HE. We argue that this would require changes in the organisational structure, the reward structure for individual and team-driven tasks, and the firm policing of the management of change. 相似文献
183.
目的 解决传统分类引信抗干扰算法因干扰信号难获取、特征信号样本少、正负样本数不平衡而导致计算精度低的问题,克服引信抗干扰算法对样本的依赖性,并提高引信信号识别准确率。方法 通过WVD时频变换的方法,将拆分后的真实含扰引信信号切片进行重组,使其由一维时序信号向二维图片信息进行扩展,基于数据倍增策略,提升算法泛化性,并降低其对真实数据样本的依赖。融合GANomaly与EfficientNet网络,在扩充的引信数据集上进行线下干扰信号特征学习,并对含扰引信图像数据进行线上异常性判断与干扰信号识别。结果 GE-FS网络能够在真实引信小样本信号的基础上进行有效数据扩充,基于扩充数据训练后,引信含扰识别准确率达到98.4%。结论 GE-FS网络能有效针对引信异常信号进行精确检测与识别,可以增强引信系统的抗干扰能力与作战自适应性。 相似文献
184.
Didac Pascual Jonas kerman Marina Becher Terry V. Callaghan Torben R. Christensen Ellen Dorrepaal Urban Emanuelsson Reiner Giesler Dan Hammarlund Edward Hanna Annika Hofgaard Hongxiao Jin Cecilia Johansson Christer Jonasson Jonatan Klaminder Jan Karlsson Erik Lundin Anders Michelsen David Olefeldt Andreas Persson Gareth K. Phoenix Zofia Rczkowska Riikka Rinnan Lena Strm Jing Tang Ruth K. Varner Philip Wookey Margareta Johansson 《Ambio》2021,50(2):375
Arctic and subarctic ecosystems are experiencing substantial changes in hydrology, vegetation, permafrost conditions, and carbon cycling, in response to climatic change and other anthropogenic drivers, and these changes are likely to continue over this century. The total magnitude of these changes results from multiple interactions among these drivers. Field measurements can address the overall responses to different changing drivers, but are less capable of quantifying the interactions among them. Currently, a comprehensive assessment of the drivers of ecosystem changes, and the magnitude of their direct and indirect impacts on subarctic ecosystems, is missing. The Torneträsk area, in the Swedish subarctic, has an unrivalled history of environmental observation over 100 years, and is one of the most studied sites in the Arctic. In this study, we summarize and rank the drivers of ecosystem change in the Torneträsk area, and propose research priorities identified, by expert assessment, to improve predictions of ecosystem changes. The research priorities identified include understanding impacts on ecosystems brought on by altered frequency and intensity of winter warming events, evapotranspiration rates, rainfall, duration of snow cover and lake-ice, changed soil moisture, and droughts. This case study can help us understand the ongoing ecosystem changes occurring in the Torneträsk area, and contribute to improve predictions of future ecosystem changes at a larger scale. This understanding will provide the basis for the future mitigation and adaptation plans needed in a changing climate.Electronic supplementary materialThe online version of this article (10.1007/s13280-020-01381-1) contains supplementary material, which is available to authorized users. 相似文献
185.
Nitrate in shallow groundwater in typical agricultural and forest ecosystems in China, 2004-2010 总被引:2,自引:0,他引:2
The nitrate-nitrogen(NO 3-N) concentrations from shallow groundwater wells situated in 29 of the Chinese Ecosystem Research Network field stations,representing typical agroand forest ecosystems,were assessed using monitoring data collected between 2004 and 2010.Results from this assessment permit a national scale assessment of nitrate concentrations in shallow groundwater,and allow linkages between nitrate concentrations in groundwater and broad land use categories to be made.Results indicated that most of the NO 3--N concentrations in groundwater from the agroand forest ecosystems were below the Class 3 drinking water standard stated in the Chinese National Standard:Quality Standard for Ground Water(≤ 20 mg/L).Over the study period,the average NO 3--N concentrations were significantly higher in agro-ecosystems(4.1 ± 0.33 mg/L) than in forest ecosystems(0.5 ± 0.04 mg/L).NO 3-N concentrations were relatively higher(> 10 mg N /L) in 10 of the 43 wells sampled in the agricultural ecosystems.These elevated concentrations occurred mainly in the Ansai,Yucheng,Linze,Fukang,Akesu,and Cele field sites,which were located in arid and semiarid areas where irrigation rates are high.We suggest that improvements in N fertilizer application and irrigation management practices in the arid and semi-arid agricultural ecosystems of China are the key to managing groundwater nitrate concentrations. 相似文献
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188.
宜昌市城区灰霾天气成因分析研究 总被引:5,自引:1,他引:4
从灰霾天气形成的可能影响因素出发,根据长期的气象和环保观测资料,将近10年来宜昌市城区逆温层与等温层、降水日、风速风向、环境空气质量优良天数、可吸入性颗粒物(PM10)年均值、二氧化硫(SO2)年均值、二氧化氮(NO2)年均值的观测值与灰霾日观测值进行相关分析,并分析了宜昌市城区环境污染的气象化学作用,揭示出宜昌市城区灰霾天气成因主要是与不利扩散和降解的气象化学作用有关,与目前环境空气质量监测的PM10、SO2、NO2三个指标无明显相关关系,而与细粒子、气溶胶污染有关。 相似文献
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Understanding the relationship between biodiversity conservation and ecosystem services concepts is essential for evidence-based policy development. We used text mining augmented by topic modelling to analyse abstracts of 15 310 peer-reviewed papers (from 2000 to 2020). We identified nine major topics; “Research & Policy”, “Urban and Spatial Planning”, “Economics & Conservation”, “Diversity & Plants”, “Species & Climate change”, “Agriculture”, “Conservation and Distribution”, “Carbon & Soil & Forestry”, “Hydro-& Microbiology”. The topic “Research & Policy” performed highly, considering number of publications and citation rate, while in the case of other topics, the “best” performances varied, depending on the indicator applied. Topics with human, policy or economic dimensions had higher performances than the ones with ‘pure’ biodiversity and science. Agriculture dominated over forestry and fishery sectors, while some elements of biodiversity and ecosystem services were under-represented. Text mining is a powerful tool to identify relations between research supply and policy demand.Supplementary InformationThe online version contains supplementary material available at 10.1007/s13280-022-01776-2. 相似文献