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141.
By using the Arctic runoff data from R-ArcticNET V4.0 and ArcticRIMS, trends of four major rivers flowing into the Arctic Ocean, whose climate factor plays an important role in determining the variability of the Arctic runoff, are investigated. The results show that for the past 30 years, the trend of the Arctic runoff is seasonally dependent. There is a significant trend in spring and winter and a significant decreasing trend in summer, leading to the reduced seasonal cycle. In spring, surface air temperature is the dominant factor influencing the four rivers. In summer, precipitation is the most important factor for Lena and Mackenzie, while snow cover is the most important factor for Yenisei and Ob. For Mackenzie, atmospheric circulation does play an important role for all the seasons, which is not the case for the Eurasian rivers. The authors further discuss the relationships between the Arctic runoff and sea ice. Significant negative correlation is found at the mouth of the rivers into the Arctic Ocean in spring, while significant positive correlation is observed just at the north of the mouths of the rivers into the Arctic in summer. In addition, each river has different relationship with sea ice in the eastern Greenland Sea. 相似文献
142.
Spatial and multivariate analysis of geochemical data from metavolcanic rocks in the Ben Nevis area, Ontario 总被引:4,自引:0,他引:4
A study of the lithogeochemistry of metavolcanics in the Ben Nevis area of Ontario, Canada has shown that factor analysis methods can distinguish lithogeochemical trends related to different geological processes, most notably, the principal compositional variation related to the volcanic stratigraphy and zones of carbonate alteration associated with the presence of sulphides and gold. Auto- and cross-correlation functions have been estimated for the two-dimensional distribution of various elements in the area. These functions allow computation of spatial factors in which patterns of multivariate relationships are dependent upon the spatial auto- and cross-correlation of the components. Because of the anisotropy of primary compositions of the volcanics, some spatial factor patterns are difficult to interpret. Isotropically distributed variables such as CO
2
are delineated clearly in spatial factor maps. For anisotropically distributed variables (SiO
2
), as the neighborhood becomes smaller, the spacial factor maps becomes better. Interpretation of spatial factors requires computation of the corresponding amplitude vectors from the eigenvalue solution. This vector reflects relative amplitudes by which the variables follow the spatial factors. Instability of some eigenvalue solutions requires that caution be used in interpreting the resulting factor patterns. A measure of the predictive power of the spatial factors can be determined from autocorrelation coefficients and squared multiple correlation coefficients that indicate which variables are significant in any given factor. The spatial factor approach utilizes spatial relationships of variables in conjunction with systematic variation of variables representing geological processes. This approach can yield potential exploration targets based on the spatial continuity of alteration haloes that reflect mineralization.List of symbols
c
i
Scalar factor that minimizes the discrepancy between andU
i
-
D
Radius of circular neighborhood used for estimating auto- and cross-correlation coefficients
-
d
Distance for which transition matrixU is estimated
-
d
ij
Distance between observed valuesi andj
-
E
Expected value
-
E
i
Row vector of residuals in the standardized model
-
F(d
ij)
Quadratic function of distanced
ij F(d
ij)=a+bd
ij+cd
ij
2
-
L
Diagonal matrix of the eigenvalues ofU
-
i
Eigenvalue of the matrixU;ith diagonal element ofL
-
N
Number of observations
-
p
Number of variables
-
Q
Total predictive power ofU
-
R
Correlation matrix of the variables
-
R
0j
Variance-covariance signal matrix of the standardized variables at origin;j is the index related tod andD (e.g.,j=1 ford=500 m,D=1000 m)
-
R
1j
Matrix of auto- and cross-correlation coefficients evaluated at a given distance within the neighborhood
-
R
m
2
Multiple correlation coefficient squared for themth variable
-
S
i
Column vectori of the signal values
-
s
k
2
Residual variance for variablek
-
T
i
Amplitude vector corresponding toV
i;ith row ofT=V
–1
-
T
Total variation in the system
-
U
Nonsymmetric transition matrix formed by post-multiplyingR
01
–1
byR
ij
-
U
i
Componenti of the matrixU, corresponding to theith eigenvectorV
i;U
i=
iViTi
-
U*
i
ComponentU
i multiplied byc
i
-
U
ij
Sum of componentsU
i+U
j
-
V
i
Eigenvector of the matrixU;ith column ofV withUV=VL
-
w
Weighting factor; equal to the ratio of two eigenvalues
-
X
i
Random variable at pointi
-
x
i
Value of random variable at pointi
-
y
i
Residual ofx
i
-
Z
i
Row vectori for the standardized variables
-
z
i
Standardized value of variable 相似文献
143.
The Zoulang Nanshan Caledonian Subduct ion Complex in the Northern Qilian Mountains and Its Dynamics 总被引:1,自引:0,他引:1
Xu Zhiqin Xu Huifen Zhang Jianxin Li Haibing Zhu Zhizhi Qu Jingchuan Institute of Geology Chinese Academy of Geological Sciences BeijingChen Daizhang Chen Jinlu China University of Geosciences Beijingand Yang KaichunNo. Q ilian Geological Party Bureau of Geology Mineral Resources of Q inghai Province Q ilian County Q inghai 《《地质学报》英文版》1994,68(3)
The front of the Zoulang Nanshan Caledonian volcanic island arc zone in the northern Qilian Mountains is a forearc accretionary terrane, composed of multiple accretionary volcanic island arcs, flysch accretionary wedges,high-pressure metamorphosed detachment zones and remnants of ophiolites. It resulted from the northeastward subduction of the Early Palaeozoic Qilan oceanic crust beneath the Alxa block. High-pressure metamorphism, which occurred during the subduction, progressed through three stages: the initial stage of medium T-high P,the main stage of temperature decrease and pressure increase, and the lag stage of pressure decrease and temperature increase. Finally the paper presents a retrotrench subduction dynamic model indicative of northward subduction of the central Qilian block and southward accretion of the Alxa block during the period of 450-500 Ma. 相似文献
144.
吉南早元古代集安群构造解析 总被引:1,自引:0,他引:1
早元古代集安群经历了三期构造变形,分别形成了三个特征各异的构造形迹组合。Ⅰ世代为层理褶皱组合,由平卧褶皱、轴面片理和韧性剪切变形带组成;Ⅱ和Ⅲ世代为片理褶皱组合,分别由各种位态的片理褶皱和轴面褶劈理、膝折面理组成;Ⅰ、Ⅱ世代的原始构造线方位均为近南北向,为近共轴叠加,但因Ⅲ世代构造的强烈改造,现今多变位为东西向。Ⅰ世代构造形迹组合的特征显示集安群的早期构造环境具有构造层次较深、以近水平韧性剪切变形作用为主导的特点。 相似文献
145.
中国主要自然致灾因子的区域分异 总被引:34,自引:2,他引:34
依据102种自然致灾因子分布图,以县域为统计单元,建立了全国自然致灾因子数据库。在此基础上,绘制出中国自然致灾因子多度、相对强度、被灾指数图,进而分析了它们的区域分异,为进行中国自然灾害区划提供依据。 相似文献
146.
南京梁代石刻微侵蚀的研究 总被引:5,自引:0,他引:5
从地貌学角度较系统地分析了梁代石灰岩石刻表面自然毁损的微侵蚀机制,本文指出,雨水沿缝合线渗流,经多种地衣及兰藻、绿藻等生物作用而大大加强了溶蚀作用,导致石刻的崩解,并讨论此种特殊微侵蚀形态的形成机制在地貌学理论研究中的意义。 相似文献
147.
148.
论民俗旅游资源的基本特征及其开发原则 总被引:18,自引:1,他引:18
富有民族特色的民俗旅游是一项具有广阔前景的旅游项目。民俗旅游资源具有世界性、地域性、集体性、增智性和封闭性等基本特征。开发利用民俗旅游资源要严格掌握和妥善运用有关的民族政策,保护民族利益;要注重发挥民俗资源特色和保护当地社会文化环境,避免盲目仿效、随意移樾和粗制滥造;要区分主次,重点开发,切忌一拥而上;要注意把当地民俗资源优势与其它景观优势结合配置,增强吸引力,提高效益。 相似文献
149.
150.
As a result of restrictive time-space bounds in viewing migration, surprisingly little is known about the tempos and rhythms of geographical mobility in America. We discuss limitations of the conventional definition of migration and develop a life course framework of multiple residence and cyclical migration. Results of an Arizona-based case study reveal that multiple residence is common and more diverse than the annual influx of elderly snowbirds. Coming to grips with multiple residence and recurrent mobility in the United States represents a fundamental challenge in population and migration studies. 相似文献