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1.
The increasing extent and frequency of fires globally requires nuanced understanding of the drivers of large-scale events for improved prevention and mitigation. Yet, the drivers of fires are often poorly understood by various stakeholders in spatially expansive and temporally dynamic landscapes. Further, perceptions about the main cause of fires vary amongst stakeholders, which amplify ongoing challenges from policies being implemented inconsistently across different governance levels. Here, we develop a spatially and temporally-explicit typology of fire prevalence across Kalimantan, Indonesia, a region with significant contribution to global greenhouse gas emissions. Based on livelihood information and data on climate, soil type and forest degradation status, we find that in intact forest the density of fires in villages that largely coincide with oil palm concessions was twice as high as in villages outside the concessions across all years. Fires occurring in degraded land on mineral soil across all years were also most prevalent in villages with industrial plantations (oil palm or timber). On the other hand, in degraded peatland, where fires are most intense during dry years induced by the El Niño episodes, occurrence rates were high regardless of village primary livelihoods. Based on these findings we recommend two key priorities for fire mitigation going forward for policy across different governance levels in Kalimantan: degraded peatland as the priority area and industrial plantations as the priority sector. Our study suggests a fire prevention and mitigation approach, which accounts for climate, land type and village livelihood, has the potential to deliver more effective means of management.  相似文献   
2.
基于2015年6月淮河流域卫星遥感监测火点信息、环境空气质量监测数据和常规气象观测资料,利用ANUSPLIN和ArcGIS Kriging方法对气象要素和主要大气污染物浓度空间栅格化,分析了秸秆焚烧关键期内AQI和主要污染物浓度的时空变化特征及其与气温、相对湿度、风速等气象要素的相关关系。结果表明:秸秆焚烧关键期内,淮河流域城市AQI、PM10与PM2.5浓度均明显升高,且与卫星监测火点具有一定时空响应关系。在时间变化上,AQI、PM10与PM2.5浓度6月上中旬呈波动上升,6月下旬趋于回落;在空间分布方面,AQI、PM10与PM2.5浓度三者分布形态相似,总体上呈现"南低北高、两高一低"分布特征;期间AQI、PM10与PM2.5浓度与气温呈显著正相关,与相对湿度呈显著负相关,与风速的相关性不显著。  相似文献   
3.
为进一步研究WOFOST模型在河南省冬麦区的适用性,以河南省30个农业气象观测站1991—2014年冬小麦观测资料、历史气象资料和土壤资料为依据,对WOFOST模型进行逐站调参和验证,分别建立了30个站的冬小麦模型参数。其中1991—2010年为模型调参年份,2011—2014年为模型验证年份。各站开花期和成熟期调参模拟的归一化均方根误差NRMSE分别小于5%和3%,验证误差分别为3.7%和2.9%。除潢川和固始外,模型对其余各站产量模拟的归一化均方根误差NRMSE全省各站均小于20.0%,验证误差全省平均为15.2%,大部分站点观测值和模拟值相关系数r通过了显著检验。利用调参后的模型模拟2011—2014年冬小麦生长动态变化可知,模拟地上部总干物重与实测单株干物重、模拟LAI与单株叶面积有较一致的变化趋势,拟合度较高。因此,WOFOST模型对河南省冬小麦主要发育阶段、产量及干物质积累模拟能力较强,具有良好的应用前景。  相似文献   
4.
Evapotranspiration (ET) is an important parameter in hydrologic processes and modelling. In agricultural watersheds with competing uses of fresh water including irrigated agriculture, estimating crop evapotranspiration (ETc) accurately is critical for improving irrigation system and basin water management. The use of remote sensing-based basal crop coefficients is becoming a common method for estimating crop evapotranspiration for multiple crops over large areas. The Normalized Difference Vegetation Index (NDVI) and the Soil Adjusted Vegetation Index (SAVI), based on reflectance in the red and near-infrared bands, are commonly used for this purpose. In this paper, we examine the effects of row crop orientation and soil background darkening due to shading and soil surface wetness on these two vegetation indices through modelling, coupled with a field experiment where canopy reflectance of a cotton crop at different solar zenith angles, was measured with a portable radiometer. The results show that the NDVI is significantly more affected than the SAVI by background shading and soil surface wetness, especially in north–south oriented rows at higher latitudes and could lead to a potential overestimation of crop evapotranspiration and irrigation water demand if used for basal crop coefficient estimation. Relationships between the analysed vegetation indices and canopy biophysical parameters such as crop height, fraction of cover and leaf area index also were developed for both indices.  相似文献   
5.
Soil erosion in the Anthropocene: Research needs   总被引:6,自引:0,他引:6       下载免费PDF全文
Soil erosion is a geomorphological and, at the same time, a land degradation process that may cause environmental and property damage, loss of livelihoods and services as well as social and economic disruption. Erosion not only lowers soil quality on‐site, but causes also significant sediment‐related problems off‐site. Given the large number of research papers on this topic, one might therefore conclude that we know now almost everything about soil erosion and its control so that little new knowledge can be added. This conclusion can be refuted by pointing to some major research gaps. There is a need for more research attention to (1) improved understanding of both natural and anthropogenic soil erosion processes and their interactions, (2) scaling up soil erosion processes and rates in space and time, and (3) innovative techniques and strategies to prevent soil erosion or reduce erosion rates. This is illustrated with various case studies from around the world. If future research addresses these research gaps, we will (1) better understand processes and their interactions operating at a range of spatial and temporal scales, predict their rates as well as their on‐site and off‐site impacts, which is academically spoken rewarding but also crucial for better targeting erosion control measures, and (2) we will be in a better position to select the most appropriate and effective soil erosion control techniques and strategies which are highly necessary for a sustainable use of soils in the Anthropocene. Copyright © 2017 John Wiley & Sons, Ltd.  相似文献   
6.
李华贞  张强  顾西辉  史培军 《湖泊科学》2018,30(4):1138-1151
根据黄河流域1960—2005年5个水文站逐日流量、77个气象站1959—2013年逐日降水数据,结合流域内主要农作物种植面积及大型水库资料,全面探讨气候与农业面积变化及人类活动对黄河流域径流变化的影响.研究表明:黄河流域所有流量分位数总体呈下降趋势,并于1980s中后期到1990s中期发生突变.降水变化是黄河流域径流变化的主要影响因素.在考虑不同流量分位数情况下,农作物种植面积变化对不同分位数径流变化的影响也有差异性.花园口站农作物种植面积变化对径流量量级和可变性均有显著影响;其余4站各项气候变化与农作物种植指标参数较大,虽均未达到10%的显著性水平,但仍会对径流的量级变化产生影响.对唐乃亥站,农作物耕作面积的下降减少了灌溉用水,在0.5流量分位数时有高达60%增加径流量的间接作用.对于头道拐站,农作物耕作面积的增加使得流域总蒸发量增加,灌溉用水增加,在0.3流量分位数时有高达40%减少径流量的间接作用.该研究为气候变化与人类活动影响下黄河流域水资源优化配置提供重要理论依据.  相似文献   
7.
为探明气候变化下干旱半干旱地区湿草甸参考作物蒸散发(ET0)影响因子,使用FAO 56 P-M模型对科尔沁湿草甸ET0进行模拟,利用涡度相关系统对模型的适用性进行评价,并通过通径分析及指标敏感性分析对ET0的影响因子进行辨识。结果表明:(1)小时尺度模拟精度最高,日尺度次之,月尺度较差,小时尺度上晴、阴、雨3种天气条件下模拟效果不同,晴天最优,阴雨天较差。(2)ET0年内变化呈单峰曲线状,生长季明显高于非生长季,集中在3—10月,占全年89.79%。生长季典型晴天ET0逐小时分布特征遵循倒“U”单峰型变化规律。(3)通径分析结果显示,对ET0的通径系数以及对回归方程估测可靠程度E的总贡献均表现为VPD(饱和水汽压差) > Tmin(最低气温) > Rn(冠层表面净辐射)>u2(2 m高度风速),即VPD为影响ET0最重要的因子;指标敏感性分析中,在去除VPD后引起的E变化最大,说明ET0VPD的变化最为敏感,其次为u2TminRn。  相似文献   
8.
山区合适耕地经营规模确定的实证研究——以重庆市为例   总被引:1,自引:0,他引:1  
范乔希  邵景安  应寿英 《地理研究》2018,37(9):1724-1735
在地形起伏、地块破碎、分布半径较远等约束下,山区多大的经营规模是合适的?这是目前必须弄清的科学问题之一。使用480份有效调查问卷,以投入农业的劳动力为测算单位,以劳均纯收入为评价指标,分作物类型和地块分布半径,构建计量经济模型,测算不同条件下合适的耕地经营,结果表明:① 在现有社会经济条件下,样本村农业土地适度规模经营面积为24~32亩,适度规模下的劳均纯收入远高于当前农村人均纯收入,且与城镇居民的差距明显缩小。② 作物类型对适度规模影响不大,但对农民纯收入产生较大作用。经济作物和粮食作物的适度规模分别为24.33亩、24.63亩,差异不显著,但种植经济作物和粮食作物在适度规模下的劳均纯收入相差3638元,巨大的差距将促使经济作物种植面积不断扩大。③ 距离对适度规模影响较大,但对劳均纯收入影响不大。0.5 km内、0.5~1 km的适度规模分别为28.62亩、31.83亩,单位劳动力的适度规模相差3亩,这表明距离是目前从事农业生产时劳动力投入时须考虑的重要因素。但是,对应的劳均纯收入相差较小,又说明伴随耕作距离的增加,更多的投入主要依靠机械来完成,从而带动适度规模的扩大。1 km外的建模未通过检验,也进一步说明未实现规模经营、没有进行机械化耕作、离家远的土地收支严重不平衡,撂荒严重,规模化经营、机械化耕作是解决距离问题的有效途径。本文得出的土地适度规模是可行的,也验证了推进土地适度规模经营的可行性和必要性。  相似文献   
9.
基于CMIP5模式鄱阳湖流域未来参考作物蒸散量预估   总被引:3,自引:0,他引:3  
预测未来气候情境下鄱阳湖流域参考作物蒸散量(Reference crop Evapotranspiration,ET0)的时空分布可为流域水资源的优化管理,为科学应对气候变化对农业生产的影响提供基础数据支撑.利用鄱阳湖流域14个气象站点1961-2014年逐日气象数据,采用Penman-Monteith公式计算出历史ET0;基于同期美国环境中心(NCEP)再分析数据及2006-2100年CMIP5中CNRM-CM5模式在RCP4. 5和RCP8. 5情景下的预测数据,经统计降尺度模型(statistical downscaling model,SDSM)模拟和偏差校正,预测流域未来ET0;通过Mann-Kendall检验、普通克里金插值和空间自相关法分析了流域1961-2100年ET0的时空演变特征.结果表明:NCEP再分析资料与流域ET0建立的逐步回归降尺度模型模拟效果较好,CNRMCM5模式降尺度模拟结果经偏差校正后,精度明显提高,适宜流域未来ET0的预估.鄱阳湖流域在基准期1961-2010年ET0整体上呈减小趋势,空间分布上呈南北高、中间低的特点,表现出明显的空间差异性.RCP4.5、RCP8.5情景下未来3个时期鄱阳湖流域ET0较基准期均呈不同程度的增加趋势,其空间分布整体表现为东高西低、局地略有突出;无论是在基准期或是未来情景下的3个时期,ET0均具有较强的空间自相关性.在RCP8.5情景下,鄱阳湖1961-2100年干旱指数呈现出较为明显的上升趋势,流域的干旱状况随时间加剧,2011-2100年间流域绝大部分地区由湿润区转为半湿润区,干旱指数自南向北递减,赣江流域将是鄱阳湖流域未来干旱风险的重点防范区.  相似文献   
10.
Soil erosion has become a serious environmental problem worldwide, and slope land is the main source of soil erosion. As a primary cover of slope land, crops have an important influence on the occurrence and development of runoff and soil erosion on slope land. This paper reviews the current understanding of runoff and soil erosion on slope cropland. Crops mainly impact splash detachment, slope runoff, and sediment yield. In this review paper, the effects of crop growth and rainfall on the splash detachment rate and the spatial distribution of splash detachment are summarized. Crop growth has a significant impact on runoff and sediment yield. Rainfall intensity and slope gradient can influence the level of erosive energy that causes soil erosion. Furthermore, other factors such as antecedent soil water content, soil properties, soil surface physical crust, and soil surface roughness can affect soil anti-erodibility. The varying effects of different crops and with different influence mechanisms on runoff and soil erosion, as well as changes in their ability to influence erosion under different external conditions should all remain focal points of future research. The effect of crop vegetation on runoff and soil erosion on slope land is a very important factor in understanding large-scale soil erosion systems, and in-depth study of this topic is highly significant for both theory and practice.  相似文献   
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