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271.
Comparing environmental influences on coral bleaching across and within species using clustered binomial regression 总被引:1,自引:0,他引:1
Differential susceptibility among reef-building coral species can lead to community shifts and loss of diversity as a result of temperature-induced mass bleaching events. We evaluate environmental influences on coral colony bleaching over an 8-year period in the Florida Keys, USA. Clustered binomial regression is used to develop models incorporating taxon-specific responses to the environment in order to identify conditions and species for which bleaching is likely to be severe. By building three separate models incorporating environment, community composition, and taxon-specific responses to environment, we show observed prevalence of bleaching reflects an interaction between community composition and local environmental conditions. Environmental variables, including elevated sea temperature, solar radiation, and reef depth, explained 90% and 78% of variability in colony bleaching across space and time, respectively. The effects of environmental variables were only partially explained (33% of variability) by corresponding differences in community composition. Taxon-specific models indicated individual coral species responded differently to local environmental conditions and had different sensitivities to temperature-induced bleaching. For many coral species, but not all, bleaching was exacerbated by high solar radiation. A 25% reduction in the probability of bleaching in shallow locations for one species may reflect an ability to acclimatize to local conditions. Overall, model results indicate predictions of coral bleaching require knowledge of not just the environmental conditions or community composition, but the responses of individual species to the environment. Model development provides a useful tool for coral reef management by quantifying the influence of the local environment on individual species bleaching sensitivities, identifying susceptible species, and predicting the likelihood of mass bleaching events with changing environmental conditions. 相似文献
272.
John Kiousopoulos 《Journal of Coastal Conservation》2008,12(1):19-25
The general objective of this paper is to trigger off the development of a more comprehensive approach to Hellenic coastal
areas (in the perspective of territorial cohesion), at local level and especially along the non-urban areas close to the sea.
Methodological issues linked to the building of an appropriate coastal database constitute the key goal of this paper (the
space and time scale, the relationship to the already proposed set of indicators, the impact of driving forces and policies,
the possible sources of data and their feasibility etc.). Furthermore, specific emphasis should be given to the choice of
new indicators, particularly for the coastal abiotic environment and the land cover/uses along coastal areas, especially near
the seafront. Those indicators should be able to aid the formation (in the near future) of an algorithm linked to the total
man-made activities in coastal areas. In conclusion, this paper will be considered successful if the just above illustrated
objectives could enrich the argument about the typology of coastal areas and the development of a spatial (coastal) observatory.
Actually, this paper is part of a broader research of the author regarding the monitoring of coastal spatial changes in different
scales (AMICA, “Appraisal of man-made interventions along the Hellenic coastal areas”). This research aims to broaden the
coastal knowledge (not only by means of coastal data) on behalf of all stakeholders been implicated into sustainable spatial
planning, integrated coastal management and the strategic environmental assessment along coastal areas.
相似文献
John KiousopoulosEmail: |
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274.
20世纪下半叶上海市居住用地扩展模式、强度及空间分异特征 总被引:6,自引:0,他引:6
基于多时相土地利用图与遥感影像资料,建立空间研究网格,通过土地利用扩展强度指数的空间分析,对1947~2002年上海市建成区居住用地扩展模式、强度及空间分异特征进行了研究。结果表明:①上海市建成区居住用地空间扩展并不是持续增长的,其扩展强度与速度均从建国初期开始减小,在1964~1979年期间达到最低值后又逐渐增大,总体上表现为先降后升的发展变化;②居住用地扩展模式随时间发生较大变化,由建国初期以核心建成区为主的渐进式扩展(1947~1964年)转变为跳跃式扩展(1964~1988年),到近些年又发展成兼具渐进扩展与跳跃扩展特征的混合扩展模式(1988~2002年),城市用地功能由简单趋于复杂和多元化;③不同时期居住用地扩展过程差异较大,其行为特征受国家宏观政策及社会经济发展等因素的影响,可以为复杂的城市扩展动力机制研究提供更多素材。 相似文献
275.
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277.
基于GFI模型的工业能源强度变动因素分解研究 总被引:1,自引:0,他引:1
在前人研究的基础上,核算了2001-2010年天津市34个工业行业的能源强度,利用GFI(Generalized Fisher Index)模型将能源强度的变动分解为技术进步、能源结构和产业结构3个因素.结果表明,从逐年各因素效应的累积值来看,产业结构对天津市能源强度变动的影响最大,其次是能源结构,技术进步的影响较小;在各因素效应值的波动方面,能源结构与技术进步对能源强度变动的影响波动较小,产业结构的影响效应值波动较大.从产业结构的角度来看,天津市2001-2010年重工业产值的增加快于轻工业,二者的差距逐渐加大,这种态势抑制了能源强度的降低;从技术进步的角度来看,由于绿色生产技术的广泛使用,天津市重工业与轻工业的单位产值能源消耗都呈下降趋势.因此,天津市进一步降低能源强度的重点还应该放在产业结构调整方面,发展绿色产业,促进产业升级;同时,不能忽视能源结构和技术进步因素的作用,大力发展绿色能源和新能源,推广清洁生产技术. 相似文献
278.
Chaoxian Guo 《中国人口.资源与环境(英文版)》2015,13(3):223-230
The industrial sector is usually the largest economy sector for carbon emissions in many countries, which made it the sector with greatest potential for carbon reduction although the process duration might be very long. Studying the potential of industrial emission reduction has great significance in estimating the carbon emission peak of China on the one hand, and adjusting its strategy in international climate change negotiations. By employing the economic accounting method, this article estimates the emission reduction potential of China’s Industrial sector for the period of 2010–2050. It reveals that, taking 2030 as the year when the emission reaches the peak, the total reduction can be 8.38 billion tons (bts) for the period of 2010–2030, with 3.12 bts from structural reduction while 5.26 bts from intensity reduction. Afterwards, reduction will continue with a total amount of 6.59 bts for the period of 2030–2050, where the structural reduction accounts for 2.47 bts, and intensity reduction 4.115 bts. If both industrial and energy consumption structures are improved during the above period, the reduction potential can be even greater, e.g. the emission peak can arrive five years earlier (in the year of 2025) and the peak value can decline by about 8% as compared to the original estimation. Reviewing the trajectory of emission changes in developed countries indicates that the industry sector can contribute to the overall reduction targets through the dual wheels of structural reduction and intensity reduction, even beyond the emission peak. This article concludes with the following policy suggestions. (1) Our estimation on the emission peak of the industrial sector suggests that China should avoid any commitment earlier than 2030 on the timeline of the overall emission peak; (2) the great potential of industrial emission reduction can improve the situation of China in climate change negotiation, where the intensity reduction can serve as an important policy option. (3) Reduction potential can be further enhanced through technology advancement, which requires furthering of market oriented reforms and improvement of institutional design. (4) To secure the reduction effects of the industrial structure adjustment, the balanced development among different regions should be encouraged in order to avoid the reverse adjustment caused by industrial transferring. (5) International cooperation promoting the application and development of industrial emission reduction technologies, including carbon capture, utilization and storage, should be encouraged. 相似文献
279.
我国化肥施用量持续增长的原因分解及趋势预测 总被引:20,自引:0,他引:20
我国化肥大量使用在提高农业生产的同时也对环境产生了严重的负面影响。目前国内外学术界对我国化肥施用量持续增长的原因以及未来我国化肥使用的发展趋势还存在较大争议。论文利用过去20 a 间我国化肥施用量的相关数据, 对化肥施用量持续增长的成因进行了分解。研究结果表明:化肥使用强度的增长是我国化肥施用总量增长的主因, 但从2007 年以来, 使用强度的贡献不断下降, 播种面积调整的贡献有所提高。根据分解结果并利用“中国农业可持续发展决策支持系统”(CHINAGRO) 预测了2020 年全国和各省化肥使用量情况。模型分析结果表明如果不采取措施, 我国未来化肥的使用总量和单位播种面积化肥施用量将依然呈现增长趋势, 且单位面积化肥用量将长期高于225 kg/hm2的国际上限标准。预计到2020年我国化肥总施用量和单位播种面积化肥施用量比2010 年分别提高2%和4.3%。东部地区单位播种面积化肥施用量较高, 2020 年广东、福建、天津、北京等省(市) 化肥单位面积施用量将接近或超过600 kg/hm2, 这将对当地环境造成巨大压力。 相似文献
280.
河南省2013年大气氨排放清单建立及分布特征 总被引:6,自引:6,他引:0
根据收集到的城市尺度排放源活动水平数据,采用排放因子法,基于"自上而下"和"自下而上"相结合的方式建立了河南省2013年大气氨排放清单,利用GIS技术进行3 km×3 km空间网格分配.结果表明,河南省2013年大气氨排放总量为1035.3 kt,排放强度为6.4 t ·km-2;畜禽养殖和氮肥施用为主要氨排放源,分别占总排放量的52.71%和31.53%;畜禽养殖中肉牛、蛋禽和山羊为主要贡献源,分别占畜禽养殖排放总量的34.98%、16.63%和14.02%;不同城市排放源构成和排放强度不同;南阳市、周口市、商丘市和驻马店市是排放量较大的地级市,分别占全省总量的11.53%、9.84%、9.62%和9.57%;濮阳市和漯河市排放强度最大,分别达到10.7 t ·km-2和10.2 t ·km-2;空间分布特征显示,中东部地区排放量较高,西部地区相对较低,排放量较大的地区集中在平原地区和人口密集区域. 相似文献