排序方式： 共有29条查询结果，搜索用时 22 毫秒
1.
Nie Yufeng Shen Yunzhong Pail Roland Chen Qiujie Xiao Yun 《Surveys in Geophysics》2022,43(4):1169-1199
Surveys in Geophysics - The gravity field recovery from GRACE (Gravity Recovery and Climate Experiment) mission data is contaminated by both observation noise and dynamic force errors, especially... 相似文献
2.
2019年3月,利用相干多普勒测风激光雷达首次在辽东湾西部绥中地区进行了风廓线测量试验。根据研究区域海岸线走向采用风向的十六分位法定义局地海风和陆风,分析和提取海陆风特征验证了多普勒测风激光雷达在春季季风间断期间观测海陆风的可行性,并计算和分析了大气边界层湍流能量的变化以及回流水平变化等特性。结果表明：1）绥中地区春季存在明显的海陆风环流特征,测风激光雷达观测海陆风出现的时间与地面自动气象站观测的数据较为一致,符合海陆风日的定义。2）海陆风日发生时,水平局地回流指数（RF）较小,1.2 km以下的RF值小于0.5,使得污染物循环累积,较易形成雾霾天气;但是海风时大气边界层的高度可达1 km以上,有利于低层大气污染物向高层扩散,减轻低层大气污染。研究结果为该地边界层参数化方案的设计和污染的防治提供了参考依据。 相似文献
3.
为了检验已记录的3种裸腹溞(发头裸腹溞(Moina irrasa)、短型裸腹溞(Moina brachiata)、微型裸腹溞(Moina micrura))的系统分类,用试剂盒法分别提取3种裸腹溞的基因组DNA.利用特异性引物,通过PCR扩增了3种裸腹溞的16S r DNA部分序列,并与来自Gen Bank中每个种类相似度较高的裸腹溞属序列进行分析.结果表明,3种裸腹溞的平均种间相似度为88.7%,碱基中A+T含量均明显高于G+C含量.本研究的发头裸腹溞的16S r DNA序列与Gen Bank所下载的多刺裸腹溞(Moina macrocopa)的16S r DNA序列相似度为99%,遗传距离(K2P双参考模型)为0.5%,属种内范围;两个地区的短型裸腹溞测得的16S r DNA序列与Gen Bank下载的欧洲短型裸腹溞的16S r DNA序列序列相似度相对较低(88%~90%),遗传距离较大(13.2%~13.5%左右),已达到属内种间分化水平.基于16S r DNA构建的NJ树和贝叶斯树也支持以上结论.结果表明,本研究的发头裸腹溞可能为多刺裸腹溞,本研究用的短型裸腹溞与Gen Bank下载的欧洲短型裸腹溞已经达到种间分化的标准.由于缺乏物种形态资料和其他分子标记的对比,3种裸腹溞的分类地位还需进行更深入的探讨. 相似文献
4.
5.
利用GOCE卫星约6个月的重力梯度数据和约1 a的几何轨道数据,联合解算250阶次的地球重力场模型TJGOCE01。GOCE重力梯度数据的低频误差采用ⅡR数字滤波器处理,粗差采用阀值法和移动窗口阀值法组合探测与剔除。直接在梯度仪坐标系中建立GOCE卫星的重力梯度观测方程,采用改进的短弧边值法建立几何轨道观测方程。两类观测值的权根据其先验精度确定,采用Kaula规则约束的正则化方法解算法方程。解算的TJGOCE01模型相对于EIGEN6C2模型在250阶次的大地水准面误差和大地水准面累积误差分别为19.4 mm和177.9 mm。北美地区GPS水准观测数据的检验结果表明,TJGOCE01模型的中误差为0.544 m,略优于欧空局公布的同阶次的第二代时域法和空域法解算的GOCE重力场模型。 相似文献
6.
本文利用CSR-RL06和Tongji-Grace2018时变重力场模型反演了2003年1月—2016年12月红柳江区域陆地水储量变化,并联合降水、蒸散、径流和人类活动耗水等多源数据建立了区域水量平衡方程,定量评估了该区域陆地水储量变化的主要驱动因素。结果表明:①考虑人类活动耗水为区域陆地水储量输出项时,由水量平衡方程闭合差计算的均方根误差降低了39%。②气象水文因素贡献率仅于2009、2011和2016年为负,其均值为-22.5%,其余年份正贡献率均值为47.7%;人类活动耗水贡献率始终为负,其均值为-34.8%。③龙滩水库蓄水变化与该区域陆地水储量变化相关系数为0.66,均存在一年和两年主周期信号。 相似文献
7.
Activities to provide energy for an expanding population are increasingly disrupting and changing the concentration of atmospheric gases that increase global temperature. Increased CO2 and temperature have a clear effect on growth and production of rice as they are key factors in photosynthesis. Rice yields could be increased with increased levels of CO2, however, the rise of CO2 may be accompanied by an increase in global temperature. The effect of doubling CO2 levels on rice production was predicted using rice crop models. They showed different effects of climate change in different countries. A simulation of the Southeast Asian region indicated that a doubling of CO2 increases yield, whereas an increase in temperature decreases yield.Enhanced UV-B radiation resulting for stratographic ozone depletion has been demonstrated to significantly reduce plant height, leaf area and dry weight of two rice cultivars under glasshouse conditions. Data are still insufficient, however, for conclusive results on the effect of UV-B radiation on rice growth under field conditions.Rice production itself has a significant effect on global warming and atmospheric chemistry through methane emission from flooded ricefields. Water regime, soil properties and the rice plant are major factors controlling the flux of methane in ricefields. Global and regional estimates of methane emission rates are still highly uncertain and tentative. Integration of mechanistic modeling of methane fluxes with geographic information systems of factors controlling these processes are required to improve estimates and predictions. 相似文献
8.
The paleoenvironmental significance of spatial distributions of grain size in groundwater‐recharged lakes: A case study in the hinterland of the Badain Jaran Desert,northwest China 
下载免费PDF全文
下载免费PDF全文 For lakes in desert hinterlands that are not recharged by river runoff, sediment input solely comes from wind transport. While the processes of sediment transport and deposition in these lakes differ significantly from those with river discharge, the spatial distribution of sediment grain size in these groundwater‐recharged lakes remains largely unknown. Moreover, whether the grain size distribution in these lake sediments can be used as a proxy in the study of past climatic change and environmental evolution studies is unclear. In this study, five lakes with a range of surface areas that had no runoff recharge were selected from the hinterland of the Badain Jaran Desert of north‐western China, and a total of 108 samples of lake surface sediments were collected to examine the spatial distribution of grain size. Moreover, an end‐member‐modeling algorithm was used to calculate end members from all grain size measurements. Our results showed that both the median and mean grain sizes in the lake sediments decreased from the nearshore to the offshore, deep‐water zone. However, the lowest median and mean grain sizes were not found in the center of the lakes, in contrast to lakes recharged by surface runoff. The median grain size of sediment in the lake center was negatively correlated with lake level, and thus could help reveal lake evolution at low resolutions. Moreover, EM1 and EM2 were interpreted as wind transported sediment, and sediment perturbed by lake waves after wind transport, respectively. The modal grain size of EM1 varied slightly between lakes, while changes in the modal grain size of EM2 were related to lake area. Given the positive relationship found between EM2 content and lake level, changes in the EM2 content (%) can serve as a rough indicator of lake level fluctuations at low temporal resolutions. Copyright © 2017 John Wiley & Sons, Ltd. 相似文献
9.
在当前全球气候变暖背景下,极地冰盖关键过程和重要参数研究对揭示极地冰盖对全球海平面变化的影响,提高海平面上升贡献的预测精度至关重要。极地科学考察的实地观测数据可以为遥感观测提供校准和验证,降低遥感反演的不确定性。本文基于同济大学全球变化研究团队近年来针对极地冰盖关键参数的测绘遥感与现场考察工作,重点阐述在极地科考观测验证和数据处理方面的研究,包括在南极冰盖的新型测高卫星的空-地协同验证、卫星角反射器布设、粒雪层内部温度观测与模型验证、多平台无人机海冰探测和雪冰环境调查,以及格陵兰冰盖质量变化评估等。最后,本文对未来的极地科考验证计划进行了展望。 相似文献
10.
Simulations and predictions using numerical models show considerable uncertainties, and parameter uncertainty is one of the most important sources. It is impractical to improve the simulation and prediction abilities by reducing the uncertainties of all parameters. Therefore, identifying the sensitive parameters or parameter combinations is crucial. This study proposes a novel approach: conditional nonlinear optimal perturbations sensitivity analysis(CNOPSA) method. The CNOPSA method fully consi... 相似文献