利用Excel实现快速整理CG-5型重力仪静态试验数据和计算漂移常量DRIFT     

高鹏  李增涛  于峰丹  张旭  刘生荣 《物探与化探》2019,(1):209-214

重力仪静态试验是重力勘探工作开始之前对仪器性能检查的必要环节,由于原理简单,其数据整理常不被人们重视,没有系统的方法,但整理的计算过程却又繁琐复杂,初学者在面对大量数据和多重目标时或顾此失彼,或重复计算,往往要耗费较多的工作时间。Excel电子表格具有强大的数学计算、图形显示功能,且应用广泛,易于操作,可系统整理CG-5型重力仪静态试验的原始观测记录,快速获取静态试验数据表、零点位移曲线及其拟合直线图等直观要素,同时计算得到静态零点位移曲线与直线偏差、平均零点位移率等结果参数,Excel的散点图趋势线功能也改进了静态零点位移校正参数漂移常量DRIFT的计算方法与准确度。这种静态试验数据的整理方法具有快速、准确和直观的优点。  相似文献   

8个CMIP5模式对中国极端气温的模拟和预估   总被引：14，自引：0，他引：14  

姚遥  罗勇  黄建斌 《气候变化研究进展》2012,8(4):250-256

利用8个耦合模式比较计划第五阶段（CMIP5）模式结果,采用加权平均方法进行多模式集合,并与NCEP再分析资料进行对比分析,评估了CMIP5模式对中国极端气温的模拟效果,在此基础上,对未来极端气温进行预估。CMIP5模式对中国8个极端气温指数和20年一遇最高（低）气温有模拟能力,所有极端气温指数模拟和观测结果的时间相关均达到0.10显著性水平,20年一遇最高、最低气温模拟和观测结果空间相关系数均超过0.98。在中等排放RCP4.5情景下,未来中国极暖（冷）日数增多（减少）,到21世纪中期热浪指数增加2.6倍,到21世纪末期寒潮指数减少71%,20年一遇最高（低）气温在中国地区均呈现升高趋势,局部升温幅度达到4℃。  相似文献   

不同演替阶段油蒿群落土壤水分特征分析   总被引：3，自引：0，他引：3  

张军红  吴波  杨文斌  雷雅凯  李秀梅 《中国沙漠》2012,32(6):1597-1603

油蒿群落是毛乌素沙地最主要的群落类型之一,在维持当地生态系统稳定中起着重要作用。土壤水分是影响油蒿群落演替的重要环境因子,为深入分析不同油蒿演替阶段土壤水分特征,使用EC-5土壤水分传感器连续监测整个生长季内先锋物种阶段(流动沙地)、稀疏阶段(半固定沙地)和建成阶段(固定沙地)油蒿群落土壤水分动态。结果表明,3种样地土壤水分均存在时间和空间上差异,流动沙地各层土壤含水量均显著高于半固定沙地和固定沙地;土壤含水量受降水影响较大, 降水量是影响土壤水分补给深度的重要因素,小于10 mm的降水主要被表层土壤吸收,10～20 mm的降水对土壤水分的补给深度超过30 cm、不及60 cm, 30～40 mm的降水补给深度大于60 cm、不及100 cm;30 cm及其上层土壤水分波动剧烈,60 cm处土壤水分主要受大于30 mm降水事件影响,波动较小,100 cm和160 cm处土壤水分几乎不受降水的影响,土壤含水量较稳定;降水补给深度及植被根系需水的层次差异是导致3种样地土壤水分时间和空间上异质性的重要因素;土壤温度主要受大气温度影响,与土壤水分相关性不显著,且随土壤深度的增加而降低。  相似文献   

祁连山西端GL值动态演化特征与强震预测     

苏宏伟  肖淑娟 《地震地磁观测与研究》2012,33(5):40-43

用地震活动非均匀度GL值作参数,使用1980-2011年祁连山西端M≥3．0地震资料进行GL值的空间扫描。结果表明,祁连山地区74％的M≥5地震前1—2年,在未来震中周围均有GL值异常出现,用R值对其进行评分,可以通过检验。  相似文献   

“Spherulite-like” jadeite growth in shock-melt veins of the Novosibirsk H5/6 chondrite     

I.S. Bazhan  Shin Ozawa  M. Miyahara  E. Ohtani  K.D. Litasov 《Russian Geology and Geophysics》2017,58(1):12-19

The Novosibirsk H5/6 ordinary chondrite has signs of shock metamorphism, such as dark shock-melt veins (SMVs) crossing the chondrite host rock. The plagioclase composition grains (Ab₇₈An₁₄Or₇) with jadeite were found in the host-rock fragments inside the SMVs. Jadeite has an unusual radial-concentric spherulite-like microtexture. The spherulite-like jadeite formed from the molten plagioclase grain under high-pressure and high-temperature conditions during an impact event. The crystallization was accompanied by sodium-potassium differentiation between coexisting jadeite and residual melt. The PT-conditions of jadeite formation were estimated to be 3-14 GPa and 1400-2150 °C. Jadeite crystallization, Na-K differentiation, and the pressure-temperature estimates of jadeite formation in the Novosibirsk chondrite are very close to those in the Chelyabinsk LL5 chondrite. The spherulite-like microtexture and jadeite-glass coexistence, most likely, point to a high cooling rate of the SMVs at the pressure release stage of the metamorphic process.  相似文献   

Prediction of scour depth at breakwaters due to non-breaking waves using machine learning approaches     

《Applied Ocean Research》2017

Coastal structures may cease to function properly due to seabed scouring. Hence, prediction of the maximum scour depth is of great importance for the protection of these structures. Since scour is the result of a complicated interaction between structure, sediment, and incoming waves, empirical equations are not as accurate as machine learning schemes, which are being widely employed for the coastal engineering modeling. In this paper, which can be regarded as an extension of Pourzangbar et al. (2016), two soft computing methods, a support vector regression (SVR), and a model tree algorithm (M5′), have been implemented to predict the maximum scour depth due to non-breaking waves. The models predict the relative scour depth (S_max/H₀) on the basis of the following variables: relative water depth at the toe of the breakwater (h_toe/L₀), Shields parameter (θ), non-breaking wave steepness (H₀/L₀), and reflection coefficient (Cr). 95 laboratory data points, extracted from dedicated experimental studies, have been used for developing the models, whose performances have been assessed on the basis of statistical parameters. The results suggest that all of the developed models predict the maximum scour depth with high precision, the M5′ model performed marginally better than the SVR model and also allowed to define a set of transparent and physically sound relationships. Such relationships, which are in good agreement with the existing empirical findings, show that the relative scour depth is mainly affected by wave reflection.  相似文献   

欧亚大陆冬季温度对北极海冰减少的敏感性及非线性响应研究   总被引：2，自引：1，他引：1  

隋翠娟  张占海  于乐江  李熠  宋米荣 《海洋学报(英文版)》2017,36(8):52-58

The recent decline in the Arctic sea ice has coincided with more cold winters in Eurasia.It has been hypothesized that the Arctic sea ice loss is causing more mid-latitude cold extremes and cold winters,yet there is lack of consensus in modeling studies on the impact of Arctic sea ice loss.Here we conducted modeling experiments with Community Atmosphere Model Version 5(CAM5) to investigate the sensitivity and linearity of Eurasian winter temperature response to the Atlantic sector and Pacific sector of the Arctic sea ice loss.Our experiments indicate that the Arctic sea ice reduction can significantly affect the atmospheric circulation by strengthening the Siberian High,exciting the stationary Rossby wave train,and weakening the polar jet stream,which in turn induce the cooling in Eurasia.The temperature decreases by more than 1°C in response to the ice loss in the Atlantic sector and the cooling is less and more shifts southward in response to the ice loss in the Pacific sector.More interestingly,sea ice loss in the Atlantic and Pacific sectors together barely induces cold temperatures in Eurasia,suggesting the nonlinearity of the atmospheric response to the Arctic sea ice loss.  相似文献   

Hydraulic conductivity prediction based on grain-size distribution using M5 model tree     

Mojtaba Naeej  Mohamad Reza Naeej  Jafar Salehi  Reyhaneh Rahimi 《Geomechanics and Geoengineering》2017,12(2):107-114

The hydraulic conductivity, K_s, is one of the most important hydraulic properties which controls the water and solute movement into the soil. It is measured on soil specimens in the laboratory. On the other hand, sometimes it is obtained by tests carried out in the field by a number of researchers. Therefore, several experimental formulas have developed to predict it. Recently, soft computing tools have been used to evaluate the hydraulic conductivity. However, these tools are not as transparent as empirical formulas. In this study, another soft computing approach, i.e. model trees, have been used for predicting the hydraulic conductivity. The main advantage of model trees is that, unlike the other data learning tools, they are easier to use and represent understandable mathematical rules more clearly. In this paper, a new formula that includes some parameters is derived to estimate the hydraulic conductivity. To develop the new formulas, experimental data sets of hydraulic conductivity were used. A comparison is made between the estimated hydraulic conductivity by this new formula and formulas given by other’s researches.  相似文献   

一株海藻多糖降解菌的分离鉴定及产酶条件优化     

朱大玲  唐啸龙  张宝玉  杨振芳  王乐普  秦乐宁  张蕾 《海洋科学》2017,41(8):99-107

从大型褐藻藻体分离获得一株具有高效降解琼胶和褐藻胶能力的革兰氏阴性菌菌株ST-6。16S rDNA序列分析结果表明,该菌株与海绵假单胞菌的相似度达到99%,NJ法构建系统进化树也与海绵假单胞菌归为一类,鉴定为海绵假单胞菌Pseudomonas pachastrellae ST-6。在2216E培养基、30℃培养条件下,海绵假单胞菌ST-6的生长曲线表明,接种10~48 h为菌株的指数生长期,48~72 h为生长稳定期。产酶结果表明,菌株ST-6在指数生长期时菌液的胞外琼胶酶相对酶活力较高,在接种48 h时,菌液的琼胶酶相对酶活力最高为249.15 U/m L。此外,发现菌株ST-6的琼胶酶和褐藻胶酶的分泌类型分别为非诱导型和诱导型。采用单因素分析法对其生长和产酶条件进行分析,结果表明,海绵假单胞菌ST-6最适生长条件为:温度25~35℃,33值5~9;最适产琼胶酶条件为:温度30℃,33值为7,琼胶浓度0.3%。最适产褐藻胶酶条件为:温度35℃,33值为9。在温度30℃、339和褐藻酸钠浓度0.15%的培养条件下,海绵假单胞菌ST-6获得最高胞外褐藻胶酶相对酶活力为135.54 U/m L。  相似文献   

基于GF-5高光谱数据的蚀变矿物填图及地质应用——以甘肃省瓜州县花牛山地区为例          下载免费PDF全文

孙雨  刘家军  赵英俊  翟德高  柳振江  张亚峰  张方方  田丰  秦凯 《中国地质》2022,49(2):558-574

[研究目的]"图谱合一"的GF-5 AHSI国产卫星高光谱数据可以根据光谱精细特征进行蚀变矿物的直接识别,一次过境成像即可获取宽幅大面积高光谱数据,能够为陆域自然资源调查提供重要的数据支撑,本文开展了GF-5高光谱数据蚀变矿物提取、分析与验证研究,以期推动国产卫星高光谱数据在地质领域的深化应用.[研究方法]建立了GF-...  相似文献