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101.
京、津、冀地区的碳排放趋势估计   总被引:2,自引:0,他引:2  
通过多种方法相结合,估计了京、津、冀地区2009-2050年的能源碳排放量、水泥工艺碳排放量和森林碳汇量,计算了区域总的碳排放量和净碳排放量。结果表明:1)京、津、冀地区碳排放量都呈现先升后降的Kuznets趋势,森林年碳汇量对碳排放降低影响不明显;2)在自由排放条件下,北京、天津均在2030年前达到碳排放高峰期,河北省及整个京津冀地区的碳排放高峰将延迟到2039年;3)在2050年前,北京、天津年碳汇量将有所降低,河北年碳汇量则上升。  相似文献   
102.
我国城市居民直接能耗的碳排放类型及影响因素   总被引:7,自引:1,他引:6  
针对我国287个地级以上城市,在测算了近9年居民直接能耗导致的CO2排放量的基础上,进行聚类、对比,并分析城市居民直接能耗的碳排放影响因素,得到以下结论:全国分为6类城市居民直接能耗碳排放类型;高碳排放型城市的地均碳排放强度、人均工资碳排放强度及居民直接能耗CO2排放总量等方面均比低碳排放型城市高,人均地方生产总值碳排放强度低于低碳排放型城市,并多为经济发达城市和资源丰富城市,其碳排放构成上分别以电、交通能耗碳排放和气碳排放为主导,高碳排放型城市居民直接能耗CO2排放量占全国地级以上城市的86.20%。我国大部分地级城市居民直接能耗的碳排放属于相对低碳排放型,其人均CO2排放量低于全国平均水平。城市所在地的降温度日数(CDD)、采暖期、采暖强度、人均能源供给量、居民的人均工资、城市人均地方生产总值是影响城市居民直接能耗CO2排放量的主要因素。  相似文献   
103.
Growing up and cleaning up: The environmental Kuznets curve redux   总被引:1,自引:0,他引:1  
Borrowing from the Kuznets curve literature, researchers have coined the term “environmental Kuznets curve” or EKC to characterize the relationship between pollution levels and income: pollution levels will increase with income but some threshold of income will eventually be reached, beyond which pollution levels will decrease. The link between the original Kuznets curve, which posited a similar relationship between income and inequality, and its pollution-concerned offspring lies primarily with the shape of both curves (an upside-down U) and the central role played by income change. Although the EKC literature has burgeoned over the past several years, few concrete conclusions have been drawn, the main themes of the literature have remained constant, and no consensus has been reached regarding the existence of an environmental Kuznets curve. EKC research has used a variety of types of data and a range of geographical units to examine the effects of income levels on pollution. Changes in pollution levels might also be at least partly explained by countries’ position in the demographic transition and their general population structure, however little research has included this important aspect in the analysis. In addition, few analyses confine themselves to an evaluation for one country of the long-term relationship between income and pollution. Using United States CO2 emissions as well as demographic, employment, trade and energy price data, this paper seeks to highlight the potential impact of population and economic structure in explaining the relationship between income and pollution levels.  相似文献   
104.
Using the global chemistry and transport model MOZART,the simulated distributions of tropospheric hydroxyl free radicals(OH) over China and its sensitivities to global emissions of carbon monoxide(CO),nitrogen oxide(NO x),and methane(CH 4) were investigated in this study.Due to various distributions of OH sources and sinks,the concentrations of tropospheric OH in east China are much greater than in west China.The contribution of NO + perhydroxyl radical(HO 2) reaction to OH production in east China is more pronounced than that in west China,and because of the higher reaction activity of non-methane volatile organic compounds(NMVOCs),the contributions to OH loss by NMVOCs exceed those of CO and take the dominant position in summer.The results of the sensitivity runs show a significant increase of tropospheric OH in east China from 1990 to 2000,and the trend continues.The positive effect of double emissions of NO x on OH is partly offset by the contrary effect of increased CO and CH 4 emissions:the double emissions of NO x will cause an increase of OH of 18.1%-30.1%,while the increases of CO and CH 4 will cause a decrease of OH of 12.2%-20.8% and 0.3%-3.0%,respectively.In turn,the lifetimes of CH 4,CO,and NO x will increase by 0.3%-3.1% with regard to double emissions of CH 4,13.9%-26.3% to double emissions of CO and decrease by 15.3%-23.2% to double emissions of NO x.  相似文献   
105.
Estimation of the Distribution of Global Anthropogenic Heat Flux   总被引:1,自引:0,他引:1       下载免费PDF全文
The radiance lights data in 2006 from the National Oceanic and Atmospheric Administration Air Force Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) and authoritative energy data distributed by the United State Energy Information Administration were applied to estimate the global distribution of anthropogenic heat flux.A strong linear relationship was found to exist between the anthropogenic heat flux and the DMSP/OLS radiance data.On a global scale,the average value of anthropogenic heat flux is approximately 0.03 W m 2 and 0.10 W m 2 for global land area.The results indicate that global anthropogenic heat flux was geographically concentrated and distributed,fundamentally correlating to the economical activities.The anthropogenic heat flux concentrated in the economically developed areas including East Asia,Europe,and eastern North America.The anthropogenic heat flux in the concentrated regions,including the northeastern United States,Central Europe,United Kingdom,Japan,India,and East and South China is much larger than global average level,reaching a large enough value that could affect regional climate.In the center of the concentrated area,the anthropogenic heat flux density may exceed 100 W m 2,according to the results of the model.In developing areas,including South America,Central and North China,India,East Europe,and Middle East,the anthropogenic heat flux can reach a level of more than 10 W m 2 ;however,the anthropogenic heat flux in a vast area,including Africa,Central and North Asia,and South America,is low.With the development of global economy and urban agglomerations,the effect on climate of anthropogenic heat is essential for the research of climate change.  相似文献   
106.
A coupled chemical/dynamical model (SOCOL-SOlar Climate Ozone Links) is applied to study the impacts of future enhanced CO and NOx emissions over eastern China on regional chemistry and climate. The result shows that the increase of CO and NOx emissions has significant effects on regional chemistry, including NOx, CO, O3, and OH concentrations. During winter, the CO concentration is uniformly increased in the northern hemisphere by about 10 ppbv. During summer, the increase of CO has a regional distribution. The change in O3, concentrations near eastern China has both strong seasonal and spatial variations. During winter, the surface O3, concentrations decrease by about 2 ppbv, while during summer they increase by about 2 ppbv in eastern China. The changes of CO, NOx, and O3, induce important impacts on OH concentrations. The changes in chemistry, especially O3, induce important effects on regional climate. The analysis suggests that during winter, the surface temperature decreases and air pressure increases in central-eastern China. The changes of temperature and pressure produce decreases in vertical velocity. We should mention that the model resolution is coarse, and the calculated concentrations are generally underestimated when they are compared to measured results. However, because this model is a coupled dynamical/chemical model, it can provide some useful insights regarding the climate impacts due to changes in air pollutant emissions.  相似文献   
107.
1994-2006年长江三角洲和东北平原酸性气体浓度变化   总被引:6,自引:0,他引:6  
 利用长江三角洲和东北平原地区大气本底站的二氧化硫(SO2)和氮氧化物(NOx)历史资料和近期取得的观测数据,探讨两个地区人为排放对这些气候相关酸性气体的不同贡献。从两种酸性气体过去和现在的浓度水平,估算了它们在两个地区的增长率,比较了NOx与SO2比值的不同变化趋势。结果表明,早在20世纪90年代中期,长江三角洲酸性气体污染水平已经较高,其后主要是NOx浓度显著升高,从而使该地区成为硫和氮污染并重的地区;东北平原酸性气体过去浓度很低,但这些气体以很高的速率增长,虽然目前浓度水平仍然比较低,但未来形势不容乐观。  相似文献   
108.
以科学发展观为指导,积极应对气候变化   总被引:1,自引:1,他引:0  
气候变化已经对全球生态、环境、经济和社会可持续发展以及外交和国家安全产生极大影响,引起各国政府、公众和学术界的极大关注。气候变化关系人类的生存和发展,应对气候变化实现可持续发展具有重要性和紧迫性。我们要以科学发展观为指导,把握好共同但有区别的责任,积极应对气候变化。  相似文献   
109.
种植不同作物对农田N2O和CH4排放的影响及其驱动因子   总被引:3,自引:0,他引:3  
以种植玉米(Zea mays)、大豆(Glycine max)和水稻(Oryza sativa)的农田生态系统为研究对象,于2003年6~10月系统观测了N2O和CH4的排放、土壤温度和湿度以及相关的生物学因子。玉米和水稻分别施化肥氮300 kg.hm-2,大豆未施氮肥。研究结果表明,作物类型对农田N2O和CH4排放具有显著的影响。土壤-玉米系统、土壤-大豆系统和土壤-水稻系统的N2O季节性平均排放通量分别为620.5±57.6、338.0±7.5和238.8±13.6μg.m-2.h-1(N2O)。种植作物促进了农田生态系统的N2O排放,玉米地土壤和裸地土壤的N2O平均排放通量分别为364.2±11.7和163.7±10.5μg.m-2.h-1(N2O)。土壤-玉米系统、土壤-水稻系统、玉米地土壤和裸地土壤N2O排放受土壤温度的影响,与土壤湿度无显著统计相关,但受土壤温度和水分的综合影响。土壤-大豆系统N2O排放随作物绿叶干重的增加而指数增加,与土壤温度和水分条件无统计相关,由大豆作物自身氮代谢所产生的N2O-N季节总量约为6.2 kg.hm-2(N)。土壤-水稻系统CH4平均排放通量为1.7±0.1 mg.m-2.h-1(CH4),烤田抑制了稻田CH4的排放。烤田前影响稻田CH4排放的主要因素是水稻生物量,烤田后的浅水灌溉及湿润灌溉阶段的CH4排放与土壤温度和水稻生物量无关。本研究未观测到旱作农田有吸收CH4的现象。  相似文献   
110.
林中立  徐涵秋  林从华 《遥感学报》2022,26(6):1236-1246
夜间灯光数据是估算人为热通量(AHF)的重要数据,但当前应用最广的DMSP/OLS和Suomi-NPP/VIIRS夜间灯光数据由于受限于粗糙的空间分辨率,而无法刻画城市内部的AHF分布细节。中国2018年6月发射的Luojia 1-01卫星所获取的130 m高空间分辨率夜间灯光数据,则有望解决这一问题。因此本文利用Luojia 1-01夜间灯光数据,通过将统计年鉴中的能源统计数据细化至福建省84个县(市、区),然后与3个夜间灯光指数(NTLnor、HSI、VANUI)进行回归分析,分别构建了基于这3个指数的福建省AHF空间估算模型,并采用交叉验证法对其进行筛选。结果显示:(1)在3个指数中,基于VANUI的乘幂估算模型的R2最高,且RMSE最小,因此精度最高;(2)利用VANUI乘幂估算模型反演得到的2018年福建省年均AHF为0.88 W/m2,其中厦门市的年均AHF最高,达10.98 W/m2,泉州、莆田、福州、漳州等沿海城市次之,年均值在0.98—1.95 W/m2,而宁德、龙岩、三明、南平等城市的AHF则较低,均值在0.38—0.46 W/m2;(3)Luojia 1-01夜间灯光数据可以揭示城市内部的AHF分异细节。根据用地属性和功能的不同,AHF数值表现为:城市集中商业区>大型市政公共设施区>城市主干道>城市住宅区>近郊住宅区。研究表明,基于Luojia 1-01夜间灯光数据建立的AHF估算模型可以较好地揭示城市尺度AHF的空间分异情况。  相似文献   
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