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1.
Zhang  Xuesen  Li  Shanshan  Zhang  Xiaoheng 《Natural Hazards》2021,106(3):1915-1929
Natural Hazards - In order to increase the emergency rescue capability of coal mine and construct the evaluation index system of emergency rescue capability of coal mine, this paper constructs the...  相似文献   
2.
本文简要地介绍了建立沿海渔业天气警报服务系统的必要性,系统的设计特点,现场试验情况以及今后建台布网的设想。特别是把短波单边带通信,地面波传播方式和双音报警技术引入天气警报服务系统,开辟了短波单边带气象通应用的新领域。  相似文献   
3.
根据苑庄水源地的水文地质条件,建立了水源地的水文地质概念模型。在此基础上,采用Visual ModFlow对水源地地下水流场进行了数值模拟。误差统计分析表明,数值计算模型在识别与验证过程中的误差较小,模拟效果较为理想。根据所建立的数值模型,并按照设计开采量,对水源地运行后区域地下水位的变化趋势进行了预测。  相似文献   
4.
Declining groundwater levels caused by irrigation is the main problem for agricultural development in Northern China. Due to both economics and increased population, surface water has become almost non‐existent and groundwater is the only water resource left. Currently the groundwater is declining at a rate between 50 and 100 cm per year. Sustainable development in Northern China requires effective management of the groundwater resources. In this study, the effect of future irrigation patterns on the decline of the groundwater table is examined with the aid of MODFLOW. MODFLOW was calibrated for five observation wells in the county. The calibrated model fitted the observed data well over a 7‐year period. The simulated results showed that the groundwater decline would be decreased, and perhaps halted, by decreasing the use of irrigation. Copyright © 2005 John Wiley & Sons, Ltd.  相似文献   
5.
日本鲭(Scomber japonicus)是西北太平洋渔业捕捞的主要种类,了解其渔场变动对探究日本鲭种群分布、资源评估、开发利用和管理等意义重大.为获知其渔场的时空变动特征,本研究根据中国2014-2019年西北太平洋公海灯光围网渔业统计资料,运用全局莫兰指数、局部热点分析、重心迁移轨迹模型和标准差椭圆模型对西北太平...  相似文献   
6.
针对西部山区的自然地理条件和高速公路建设运营对生态环境的扰动,基于RS和GIS技术,以陕西省成旬商速公路为研究案例,从植被覆盖变化、水土流失、景观生态、地形地貌等方面对路域生态环境进行宏观评价。选用C#语言结合SuperMap Objects组件,在Microsoft.NET平台上设计和开发基于GIS的高速公路路域生态...  相似文献   
7.
The Huanghe River(Yellow River) Delta has a wide distribution of fine-grained soils. Fluvial alluviation, erosion,and wave loads affect the shoal area, resulting complex physical and mechanical properties to sensitive fine-grained soil located at the river-sea boundary. The cone penetration test(CPT) is a convenient and effective in situ testing method which can accurately identify various soil parameters. Studies on undrained shear strength only roughly determine the fine content(FC) without ma...  相似文献   
8.
Two typical satellite sea surface temperature (SST) datasets, from the Multi-functional Transport Satellite (MTSAT) and Tropical Rainfall Measuring Mission Microwave Imager (TMI), were evaluated for the East China Sea, Yellow Sea, and Bohai Sea throughout 2008. Most monthly-mean availabilities of MTSAT are higher than those of TMI, whereas the seasonal variation of the latter is less than that of the former. The analysis on the one-year data shows that the annual mean availability of MTSAT (61%) is greater than that of TMI (56%). This is mainly because MTSAT is a geostationary satellite, which achieves longer observation than the sun-synchronous TMI. The daily availability of TMI (28%-75%) is more constant than that of MTSAT (9%-93%). The signal of infrared sensors on MTSAT is easily disturbed on cloudy days. In contrast, the TMI microwave sensor can obtain information through clouds. Based on in-situ SSTs, the SST accuracy of TMI is superior to that of MTSAT. In 2008, the root mean square (RMS) error of TMI and MTSAT were 0.77 K and 0.84 K, respectively. The annual mean biases were 0.14 K (TMI) and -0.31 K (MTSAT). To attain a high availability of SSTs, we propose a fusion method to merge both SSTs. The annual mean availability of fusion SSTs increases 17% compared to MTSAT. In addition, the availabilities of the fusion SSTs become more constant. The annual mean RMS and bias of fusion SSTs (0.78 K and -0.06 K, respectively) are better than those of MTSAT (0.84 K and -0.31 K).  相似文献   
9.
一种黄土高边坡设计的新方法   总被引:5,自引:2,他引:3  
根据黄土高边坡破坏面的实际特征,假定最危险滑动面为抛物线型,对高边坡进行可靠度分析,应用数学原理,建立了黄土高边坡的设计模型,并对铜黄一级公路黄土高边坡进行分析验证,结果表明,该方法计算的结果与实际较接近。该方法物理意义明确,易操作,可供设计人员参考。  相似文献   
10.
基于随机森林的印度洋长鳍金枪鱼渔场预报   总被引:8,自引:1,他引:7  
为了提高远洋渔场预报水平和满足渔业生产的需要,提出了一种基于随机森林建立印度洋长鳍金枪鱼(Thunnus alalunga)渔场预报模型的方法。选取2002-2009年各个月份印度洋5°×5°格点渔业环境和时空数据(包括海表温度、叶绿素a浓度、表温距平、叶绿素a浓度距平、海表温度梯度强度和海面高度异常等数据)作为预测变量,利用长鳍金枪鱼的CPUE(Catch per unit effort,单位:尾/千钩数)的三分位点将渔区划分为高CPUE、中等CPUE和低CPUE三种类型,作为响应变量,对数据进行训练。结果表明,当随机森林中决策树达到100以上时,袋外数据OOB(out-of-bag)的分类误差率趋于平稳。将训练得到的随机森林用于2010年印度洋长鳍金枪鱼分月渔场的预测,其概率等值面图与实际生产的渔场分布进行叠加比较,显示高CPUE渔场概率分布与实际渔场的位置及范围变化情况符合。通过ROC(Relative Operating Characteristic)分析,高CPUE、中等CPUE和低CPUE的AUC(Area Under ROC Curve)分别达到0.847、0.743和0.803,表明预测精度较高。最后对中等CPUE渔区预测精度相对较低的原因进行了分析。  相似文献   
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