辽宁省沈抚新区区域地壳稳定性评价     

张春山  张树轩  杨为民  孟华君  吕佳进  张田田  吴季寰  郭涵 《地质力学学报》2021,27(3):453-462

在广泛收集资料和野外调查工作的基础上,经综合分析控制和影响区域地壳稳定性的主要因素和内外动力地质的耦合作用,基于ArcGIS平台采用多因素加权叠加分析方法开展了沈抚新区区域地壳稳定性评价研究。评价因素主要选取活动断裂、地震活动性和深部地球物理以及工程岩组、地形地貌与地表地质灾害等共12个影响因子,并依据评价因素的关联性和重要性进行分类赋值,进而建立了区域地壳稳定性评价模型。对沈抚新区的区域地壳稳定性进行了定量化评价。结果表明,沈抚新区以稳定区和次稳定区为主,面积为728.9 km2,占总面积的81.07%,有利于规划和建设。建议在地下工程穿越不稳定区和次不稳定区时,要采取必要的工程措施,确保基础和边坡的稳定性。规划的地铁9号线主要穿越次不稳定区和次稳定区。施工带在埋深15~25 m之间,该段地层主要为卵砾石堆积层、泥包砾堆积层与变质片麻岩强风化带及其交接部位,施工带处于地下水浸没带或变动带,其支护比较困难,建议尽早确定合理的施工方案,保障施工顺利和安全,此外还需要采取一定降水防腐措施。   相似文献   

A novel index to evaluate discretization methods:A case study of flood susceptibility assessment based on random forest     

Xianzhe Tang  Takashi Machimura  Wei Liu  Jiufeng Li  Haoyuan Hong 《地学前缘(英文版)》2021,12(6):313-325

The selection of a suitable discretization method(DM)to discretize spatially continuous variables(SCVs)is critical in ML-based natural hazard susceptibility assessment.However,few studies start to consider the influence due to the selected DMs and how to efficiently select a suitable DM for each SCV.These issues were well addressed in this study.The information loss rate(ILR),an index based on the informa-tion entropy,seems can be used to select optimal DM for each SCV.However,the ILR fails to show the actual influence of discretization because such index only considers the total amount of information of the discretized variables departing from the original SCV.Facing this issue,we propose an index,infor-mation change rate(ICR),that focuses on the changed amount of information due to the discretization based on each cell,enabling the identification of the optimal DM.We develop a case study with Random Forest(training/testing ratio of 7:3)to assess flood susceptibility in Wanan County,China.The area under the curve-based and susceptibility maps-based approaches were presented to compare the ILR and ICR.The results show the ICR-based optimal DMs are more rational than the ILR-based ones in both cases.Moreover,we observed the ILR values are unnaturally small(＜1％),whereas the ICR values are obviously more in line with general recognition(usually 10％-30％).The above results all demonstrate the superiority of the ICR.We consider this study fills up the existing research gaps,improving the ML-based natural hazard susceptibility assessments.  相似文献   

基于全球及区域气候模式的江苏省降水变化趋势预估          下载免费PDF全文

李熠  买苗 《大气科学学报》2019,42(3):447-458

利用气象观测资料,8个全球耦合气候系统模式的集合平均以及区域气候模式(RegCM4)的结果,通过方差分析、相关分析、趋势分析、扰动法等方法对模式性能进行了评估,并对江苏省在未来RCP8.5高端排放情景下降水的变化趋势进行了预估。结果表明,在RCP8.5情景下,至2020、2030和2050年,全球模式模拟的江苏省年平均降水在未来有逐渐增加的趋势,线性增加率约为7 mm/(10 a)。至2050年,江苏省年平均降水量将增加2%左右;区域模式模拟的年平均降水在未来线性增加率为1.5 mm/(10 a),变化不显著。区域模式模拟的夏季降水在未来有所增加,最多可增加20%～30%,但增幅随时间逐渐减小;全球模式模拟的夏季降水比现在有所减少,至2050年,减少了大约10%。区域模式模拟的冬季降水在未来不同时间段均比现在有所减少,同现在相比,最多可减少30%～40%;而全球模式模拟的冬季降水在未来则是先减少,后增加,至2050年,比现在大约增加10%。对于不同季节,总体而言,南部地区降水量的变化较北部地区显著。对于极端降水事件来说,江苏省未来小雨日数将减少,而暴雨日数则微弱增加。但由于全球模式本身的性能、区域模式对全球模式的依赖性以及温室气体排放的不确定性使上述预估结果仍具有不确定性。  相似文献   

基于逆推法和德尔菲法的地质灾害气象服务效益评估     

狄靖月  徐辉  许凤雯  杨寅  包红军  张国平 《气象》2019,45(5):705-712

地质灾害气象服务发挥越来越重要的作用,既有可量化的经济效益,也有不可忽视难以量化的、潜在的社会效益和生态效益。根据历年地质灾害调查与分析数据,运用逆推法结合德尔菲法,建立地质灾害气象服务效益评估模型,并根据已有研究及防汛经验对模型的系数进行量化。模型以地质灾害气象预报评分和灾害直接经济损失为输入,以防灾减灾效益值、防灾减灾效益百分率、气象服务直接经济效益、气象服务直接经济效益百分率为输出,可同时对各区域、各时间段的地质灾害过程进行气象服务效益分段评估,也可评估年度地质灾害气象服务效益。该模型在2017年地质灾害气象效益评估中表现良好,有一定指导意义。  相似文献   

Dominant climate factors influencing the Arctic runoff and association between the Arctic runoff and sea ice     

LI Pixue  ZHANG Zhanhai  LIU Jiping 《海洋学报(英文版)》2010,29(5):10-20

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   

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  

E. C. Grunsky  F. P. Agterberg 《Mathematical Geology》1988,20(7):825-861

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= _iV_iT_i - 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   

A temporal model for landslide risk based on historical precipitation     

Stanley M. Miller 《Mathematical Geology》1988,20(5):529-542

Of the recognized nonsteady-state factors that influence slope stability, probably most critical in many field situations is the character of precipitation and infiltration activity. A groundwater response model used in conjunction with precipitation records can provide a historical catalog of estimated maximum groundwater levels in a particular study area. An extreme-value statistical analysis of this catalog is linked with geotechnical slope stability analyses to provide a landslide hazard model for estimating the probability of slope failure within a given time. This modeling approach can provide meaningful input to risk assessments for landslide mitigation programs and to decision analyses and cost-benefit studies important for land-use planning and resource management.This paper was presented at Emerging Concepts, MGUS 87 Conference, Redwood City, California, 13–15 April 1987.  相似文献   

Earthquake hazard in Jordan     

Robert L. Kovach 《Natural Hazards》1988,1(3):245-254

An estimate of the maximum macroseismic intensities and ground accelerations which might be expected for the Hashemite Kingdom of Jordan is made. The inferred maximum magnitudes lie in the range of 6.1 to 7.3 although the possibility that larger earthquakes can occur with long recurrence times cannot be precluded. Peak horizontal accelerations in the range of 0.4 to 0.5 g can be expected in Jordan. Probabilistic estimates indicate that the odds are about even (50-50) that an earthquake with a magnitude of at least 6 will occur within 80 years.  相似文献   

An Examination of Behavior and Hazards Faced by Physically Disabled People During the Loma Prieta Earthquake     

Mansour Rahimi 《Natural Hazards》1993,7(1):59-82

There is a need to study hazards faced by physically disabled people during earthquakes. A literature review showed the importance of occupant behavior as a factor that contributes to casualty during earthquakes. A survey questionnaire was used to study the behavioral responses of 33 disabled residents, none of whom sustained injury, during the Loma Prieta earthquake of 17 October 1989. An occupant risk analysis methodology was developed to study the sequence of activities of the disabled people. Severe restrictions in the physical capabilities of the respondents did not appear to increase their exposure to hazards. Overall, the physically disabled occupants did not think of themselves as vulnerable, and those who felt vulnerable initiated self-protective action in response to the hazards present in their immediate surroundings.  相似文献   

Flooding of Sinking Creek,Garretts Spring karst drainage basin,Jessamine and Woodford counties,Kentucky, USA     

J. C. Currens  C. D. R. Graham 《Environmental Geology》1993,22(4):337-344

Tashamingo Subdivision in Sinking Creek karst valley, a tributary of the Garretts Spring drainage basin in Jessamine and Woodford counties, Kentucky, was flooded in February 1989. To determine the cause of flooding, the groundwater basin boundary was mapped, discharge data were measured to determine intake capacity of swallets, and hydrologic modeling of the basin was conducted. Swallet capacity was determined to be limited by the hydraulic parameters of the conduit, rather than by obstruction by trash. Flooding from a precipitation event is more likely, and will be higher, when antecedent soil moisture conditions in the watershed are near saturation. Hydrologic modeling shows that suburban development of 20 percent of the southeast basin will cause a small increase in flood stage at Tashamingo Subdivision.  相似文献