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131.
Bayesian Networks and Adaptive Management of Wildlife Habitat   总被引:1,自引:0,他引:1  
Abstract: Adaptive management is an iterative process of gathering new knowledge regarding a system's behavior and monitoring the ecological consequences of management actions to improve management decisions. Although the concept originated in the 1970s, it is rarely actively incorporated into ecological restoration. Bayesian networks (BNs) are emerging as efficient ecological decision‐support tools well suited to adaptive management, but examples of their application in this capacity are few. We developed a BN within an adaptive‐management framework that focuses on managing the effects of feral grazing and prescribed burning regimes on avian diversity within woodlands of subtropical eastern Australia. We constructed the BN with baseline data to predict bird abundance as a function of habitat structure, grazing pressure, and prescribed burning. Results of sensitivity analyses suggested that grazing pressure increased the abundance of aggressive honeyeaters, which in turn had a strong negative effect on small passerines. Management interventions to reduce pressure of feral grazing and prescribed burning were then conducted, after which we collected a second set of field data to test the response of small passerines to these measures. We used these data, which incorporated ecological changes that may have resulted from the management interventions, to validate and update the BN. The network predictions of small passerine abundance under the new habitat and management conditions were very accurate. The updated BN concluded the first iteration of adaptive management and will be used in planning the next round of management interventions. The unique belief‐updating feature of BNs provides land managers with the flexibility to predict outcomes and evaluate the effectiveness of management interventions.  相似文献   
132.
在大型(30m3)、小型(1m3)环境箱实验获得数据的基础上构建释放模型,并将模拟结果和现场监测得到的浓度水平进行对比,对开发的室内空气污染预测方法进行了实证研究.以一新装修房间为例,分别利用大型和小型环境箱实验,研究了复杂整装材料和简单层状材料的释放规律,建立了相应材料的污染物释放模型;依据单元内物质守恒理论和污染物充分混合的假设将释放模型组合,建立了室内空气污染预测方法,并预测了该房间甲醛和TVOC(total volatile organic compounds)浓度的变化过程.在考虑了0.03ACH(air change per hour)的换气率之后,模型预测与现场监测的污染物浓度变化趋势基本吻合,甲醛和TVOC污染预测误差(正则化标准差)分别为2.8%和1.6%.模型分析表明,各污染源对于甲醛污染的贡献,家具>涂料>地板;对于TVOC污染的贡献,涂料>地板>家具.结论表明,该预测方法可以真实反映现场污染物浓度变化趋势,可以用来分析各污染源对于整体污染的贡献、指导装修材料的选择和作为室内污染评估和控制的有效工具.  相似文献   
133.
为评价不同气化方案对印刷线路板熔融盐气化的影响,针对印刷线路板的熔融盐气化反应过程建立了反应动力学模型.模型计算结果表明,气化反应体系首先发生CO、H2和焦炭的氧化反应.生成较大量的CO2和H2O2,此后反应体系内CO2和HO2与焦炭进行氧化还原反应而逐渐减少,在参加反应的焦炭被消耗完全后,反应体系随着水气变换可逆反应的平衡而达到平衡.  相似文献   
134.
全耦合活性污泥模型(FCASM3)Ⅰ:建模机理及数学表征   总被引:2,自引:0,他引:2  
孙培德  王如意 《环境科学学报》2008,28(12):2404-2419
在充分分析活性污泥系统中生物反应机理的基础上,建立了活性污泥系统生物去除营养物质的细观机理模型--全耦合活性污泥模型(Fully Coupled Activated Sludge Model No.3,简称FCASM3).FCASM3将系统中微生物划分为8类菌群,包含31种组分、72个子过程;该模型的主要特点是将活性污泥系统中的微生物进一步细化,充分考虑了系统中微生物间的相互作用.FCASM3引入了硝化-反硝化过程中的中间产物亚硝酸盐.实现了对两步硝化-反硝化过程的模拟;FCASM3不仅包含聚糖菌的有关生物反应过程,而且还考虑了聚磷菌(非反硝化聚磷菌和反硝化聚磷菌)以及聚糖菌的厌氧维持过程,为直接体现温度对生物反应的影响,FCASM3将温度作为一个变量直接耦合到生物反应速率方程中.  相似文献   
135.
全耦合活性污泥模型(FCASM3)Ⅱ:模型校验   总被引:3,自引:2,他引:1  
以采用AAO污水处理工艺的德清县狮山污水处理厂作为全耦合活性污泥模型(FCASM3)校验的现场试验基地,分别进行了常规水质指标测定和进水水质特征分析等试验研究,依据现场试验结果,完成了对活性污泥系统生物去除营养物质细观机理模型FCASM3的校验工作,动态校验结果表明,FCASM3模型可以对AAO连续流工艺系统实现较准确的细观模拟,营养物质生物去除过程的动态数值模拟结果与实测结果相一致.  相似文献   
136.
人类活动作用于土地资源,使LUCC(土地利用/土地覆被变化)在全球环境变化过程中起主导作用,随着国际LUCC研究计划的进展,各国依据本国的实际情况开展研究。对西安市以往五年(2000-2004年)的土地利用基础数据开展调查统计分析,建立灰色系统动态GM(1,1)模型,预测2005—2010年西安市土地利用结构变化状况,尝试计算西安市土地生态系统服务价值损失(简称生态损失),用一种直观经济指标-货币来反映这种生态损失。预测2010年西安市生态损失为331、84×10^6元。  相似文献   
137.
Environmental risk of high sulfur gas field exploitation has become one of the hot spots of environmental management studies. Severe gas H2S blowout accidents in recent years have shown that poor understanding and estimates of the poisonous gas movement could lead to dangerous evacuation delays. It is important to evaluate the real concentration of H2S, especially in complex terrain. Traditional experiential models are not valid in the case of rough terrain, especially in low-lying areas where the gas accumulates. This study, using high sulfur content gas field of Sichuan “Pu Guang gas field” as study object and adopting objective diagnosis of wind field of land following coordinate three dimensions, applied Lagrangian Puff Model and breaking up technique of puffs to simulate the H2S diffusion condition of blowout accidents produced in the high sulfur content gas field of complex terrain area. The results showed that the H2S distribution did not occur mainly in low wind direction, and due to the obstruction of the mountain’s body, it accumulated in front of mountain on produced turn over, flowed around submitted jumping type distribution. The mountain waist near the hilltop and low hollow river valley site rapture points simulating contrast showed that the higher the rapture point, the better the diffusing condition of pollutant, the distribution of risk sensitive point decided piping rupture environmental risk size combining the H2S diffusion result and residential area dispersing in the study area, synthetic judge located in the high rapture point environmental risk was smaller than the low hollow point, thus it was suggested to carryout laying of lining build of equal high line of higher terrain. According to simulation results, the environmental risk management measures aimed at putting down adverse effects were worked out.  相似文献   
138.
任静  于鲁冀 《四川环境》2011,30(6):149-154
改革开放以来,在我国经济快速发展的同时,产生了巨大的环境问题,为此,原国家环保总局审时度势,开展了创建国家环境保护模范城市的活动。本文对“创模”考核指标的调整情况进行概括,从总体情况、所属行政区、所属行政区级别、面积4个方面对目前“环保模范”城市状况进行了深入地分析,并对日后的“创模”工作进行了展望。  相似文献   
139.
The construction of a new forest management module (FMM) within the ORCHIDEE global vegetation model (GVM) allows a realistic simulation of biomass changes during the life cycle of a forest, which makes many biomass datasets suitable as validation data for the coupled ORCHIDEE-FM GVM. This study uses three datasets to validate ORCHIDEE-FM at different temporal and spatial scales: permanent monitoring plots, yield tables, and the French national inventory data. The last dataset has sufficient geospatial coverage to allow a novel type of validation: inventory plots can be used to produce continuous maps that can be compared to continuous simulations for regional trends in standing volumes and volume increments. ORCHIDEE-FM performs better than simple statistical models for stand-level variables, which include tree density, basal area, standing volume, average circumference and height, when management intensity and initial conditions are known: model efficiency is improved by an average of 0.11, and its average bias does not exceed 25%. The performance of the model is less satisfying for tree-level variables, including extreme circumferences, tree circumference distribution and competition indices, or when management and initial conditions are unknown. At the regional level, when climate forcing is accurate for precipitation, ORCHIDEE-FM is able to reproduce most productivity patterns in France, such as the local lows of needleleaves in the Parisian basin and of broadleaves in south-central France. The simulation of water stress effects on biomass in the Mediterranean region, however, remains problematic, as does the simulation of the wood increment for coniferous trees. These pitfalls pertain to the general ORCHIDEE model rather than to the FMM. Overall, with an average bias seldom exceeding 40%, the performance of ORCHIDEE-FM is deemed reliable to use it as a new modelling tool in the study of the effects of interactions between forest management and climate on biomass stocks of forests across a range of scales from plot to country.  相似文献   
140.
刘会玉  林振山  齐相贞  沈竟 《生态环境》2011,20(11):1638-1646
栖息地毁坏和生物入侵被认为是全球物种多样性的两大威胁,也是当前研究的热点。同时,两者的共同作用将比单独作用所带来的物种多样性丧失更大。本文基于竞争-扩散均衡机制,考虑了外来种的不同竞争力,结合景观中性模型和元胞自动机模型,模拟了外来种入侵对栖息地毁坏(栖息地破碎和面积丧失)的响应。研究结果表明:1)外来种入侵成功将首先威胁竞争力与其相邻的弱物种;2)栖息地毁坏与种间竞争共同决定着外来种入侵的成功与否。当栖息地破碎促进了与外来种竞争力相邻的本地强物种时,将会抑制入侵;当其抑制了与外来种竞争力相邻的本地强物种时,则会促进入侵。当栖息地丧失促进了外来种相邻的本地强物种时,将会抑制入侵;当栖息地丧失抑制了外来种相邻的本地强物种,将一定程度地促进入侵,但随着丧失面积的增加,则转为抑制。因此,为了抑制不同竞争力的外来种入侵,应采取不同的栖息地保护策略,并保护和促进其竞争力相邻的本地强物种。  相似文献   
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