基于可靠度理论的尾矿坝失稳概率及敏感性分析          下载免费PDF全文

李涛  刘国栋  王聪 《中国地质灾害与防治学报》2019,30(3):81-86

为了能够真实反映砭家沟尾矿库的稳定特性,运用Monte Carlo试验原理,考虑库区砂层的空间变异特性,利用Slope/W软件对尾矿库进行了概率分析与敏感性分析。分析表明,抽样方式的不同,使尾矿坝体失稳概率和可靠性指标发生了大幅波动,但是并没有使安全系数产生明显变化,也验证了仅将安全系数作为衡量尾矿坝体稳定性的唯一标准是不合适的;敏感性分析也表明了砂层主要参数对安全系数影响的敏感程度,同时也表明黏聚力是影响库区稳定的主要砂层因素。通过研究,为尾矿库今后的运行与管理提供了理论依据,具有一定的指导意义。  相似文献   

Reliability analysis of the induced damage for single-hole rock blasting     

Mahdi Shadab Far  Yuan Wang  Yousif A. H. Dallo 《Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards》2019,13(1):82-98

Rock explosion has always been a complex problem because neither rock characteristics nor explosion waves could be accurately estimated. As such, this imposes a high uncertainty on deterministic methodologies available for damage prediction. In this paper, by defining two damage zones around the blast hole, including crushed and cracked zones, a first-order reliability analysis (FORM) was adopted to address this issue. For this purpose, FORM was used in a double-loop algorithm, where the inner loop was responsible for converging the FORM, and the outer loop was assigned to feed the inner loop with new cases. Using such nested-loop algorithm, the probability of exceedance was calculated for any desired damage zone radius. The maximum effect of the involved parameters on the failure probability induced around the blast hole was additionally studied using a parametric reliability analysis. The results showed that the radii for crushed and cracked zones are limited to 0.5 and 4.2?m, respectively, so that the probability of going beyond these limits is less than 1%. Moreover, the analyses of decoupled explosions showed that increasing the gap between the explosion charge and wall of the borehole could severely reduce the failure probability; however, the maximum effect of decoupling ratio occurs in the small range of radii between 0.3?mm and 2.35?m.  相似文献   

How to achieve the 2030 CO2 emission-reduction targets for China's industrial sector: Retrospective decomposition and prospective trajectories     

《Global Environmental Change》2017

The Chinese government actively follows the low-carbon development pattern and has set the definite targets of reducing carbon emissions by 2030. The industrial sector plays a significant role in China's economic growth and CO₂ emissions. This is the first study to present a specific investigation on the retrospective decomposition (1993–2014) and prospective trajectories (2015–2035) of China's industrial CO₂ emission intensity (ICEI) and industrial CO₂ emissions (ICE), aiming at China Industrial Green Development Plan 2016–2020 targets and China's 2030 CO₂ emission-reduction targets. We introduce process carbon intensity, investment and R&D factors into the decomposition model and make a combination of dynamic Monte Carlo simulation and scenario analysis to identify whether and how the targets would be realized from a sector-specific perspective. The results indicate that investment intensity is the primary driver for the increase in ICEI, while R&D intensity and energy intensity are the leading contributors to the reduction in ICEI. Under existing policies, it is very possible for the industrial sector to achieve the 2020 and 2030 intensity-reduction targets. However, the realization of 2030 emission-peak target has some uncertainties and needs extra efforts in efficiency improvement and structural adjustment. All the five scenarios would achieve the 2020 and 2030 intensity-reduction targets, except Scenario N4 for China Industrial Green Development Plan 2016–2020 target. Nonetheless, only three scenarios would realize the 2030 emission-peak target. With strong efficiency improvement and structural adjustment, ICE would hit the peak in 2025. In contrast, with high/low efficiency improvement and weak structural adjustment, ICE would fail to reach the peak before 2035. Both ICEI and ICE have substantial mitigation potentials with the enhancement of efficiency improvement and structural adjustment. Finally, we suggest that the Chinese government should raise the baseline requirements of efficiency improvement and structural adjustment for the industrial sector to achieve China’s 2030 targets.  相似文献   

不同气候背景下我国冬夏两季极端气温特征分析          下载免费PDF全文

任晨辰  段明铿  智协飞 《大气科学学报》2017,40(6):803-813

利用全国175个测站1960—1999年间的日平均气温资料,分别选取1960—1989年(气候态A)、1970—1999年(气候态B)作为气候背景,采用蒙特卡洛显著性检验法检验了这两个气候态背景下我国冬夏两季季节平均气温的差异显著性。并在此基础上利用气候百分位法分别分析了在这两个气候态背景下2000—2010年间我国冬夏两季的极端气温特征。分析结果表明,相对于夏季,冬季气候态A、B背景下季节平均气温的差异更为显著。冬夏两季,我国大部分地区极端低温事件的发生频率相对较低,而极端高温事件的发生频率相对较高。由于气候态B包含了全球变暖特征最为显著的20a,故在气候态B背景下,冬夏两季极端低(高)温事件的发生频率要高(低)于气候态A,这与全球变暖的趋势相吻合。  相似文献   

A Time Monte Carlo method for addressing uncertainty in land-use change models     

Ahmed Mustafa  Ismaïl Saadi  Mario Cools  Jacques Teller 《International journal of geographical information science》2018,32(11):2317-2333

One of the main objectives of land-use change models is to explore future land-use patterns. Therefore, the issue of addressing uncertainty in land-use forecasting has received an increasing attention in recent years. Many current models consider uncertainty by including a randomness component in their structure. In this paper, we present a novel approach for tuning uncertainty over time, which we refer to as the Time Monte Carlo (TMC) method. The TMC uses a specific range of randomness to allocate new land uses. This range is associated with the transition probabilities from one land use to another. The range of randomness is increased over time so that the degree of uncertainty increases over time. We compare the TMC to the randomness components used in previous models, through a coupled logistic regression-cellular automata model applied for Wallonia (Belgium) as a case study. Our analysis reveals that the TMC produces results comparable with existing methods over the short-term validation period (2000–2010). Furthermore, the TMC can tune uncertainty on longer-term time horizons, which is an essential feature of our method to account for greater uncertainty in the distant future.  相似文献   

地下水模型的Neumann展开Monte-Carlo随机有限元法   总被引：1，自引：0，他引：1  

姚磊华 《煤田地质与勘探》1997,25(4):31-34

讨论了求解地下水模型(水流模型和水质模型)的Neumann展开Monte-Carlo随机有限元法。从基本的随机变量入手,避免了过程中随机变量的增多问题,给出结点水头(浓度)的均值、方差和水头在某区间的概率计算方法;改进了矩阵求逆的效率,对输入随机变量较多、随机变量变异较大的非稳定地下水问题特别有效。同时选取二维承压地下水水流问题(有解析解)作为例子,进行了随机数值模拟实验。   相似文献   

A New Method of Significance Testing for Correlation-Coefficient Fields and Its Application     

Xiaojuan SUN  Siyan LI  Julian XL WANG  Panxing WANG  Dong GUO 《大气科学进展》2022,39(3):529-535

Correlation-coefficient fields are widely used in short-term climate prediction research. The most frequently used significance test method for the correlation-coefficient field was proposed by Livezey, in which the number of significantcorrelation lattice(station) points on the correlation coherence map is used as the statistic. However, the method is based on two assumptions:(1) the spatial distribution of the lattice(station) points is uniform;and(2) there is no correlation between the physical quantities in the correlation-coefficient field. However, in reality, the above two assumptions are not valid.Therefore, we designed a more reasonable method for significance testing of the correlation-coefficient field. Specifically, a new statistic, the significant-correlation area, is introduced to eliminate the inhomogeneity of the grid(station)-point distribution, and an empirical Monte Carlo method is employed to eliminate the spatial correlation of the matrix.Subsequently, the new significance test was used for simultaneous correlation-coefficient fields between intensities of the atmospheric activity center in the Northern Hemisphere and temperature/precipitation in China. The results show that the new method is more reasonable than the Livezey method.  相似文献   

长城湾夏季初级生产力及其光量子产值     

吕瑞华  朱明远  夏滨  陈皓文 《海洋科学进展》1998,(3)

本文报道了１９９２～１９９３年南极长城湾及其邻近水域夏季初级生产力的水平、同化系数及其分布特征,并对影响水域生产力的主要因素进行了分析。同时对该海区的光量子产值和光利用效率进行了测定,结果表明：长城湾夏季光量子产值的变化范围为１．４７９×１０－２～９．０２８×１０－２ｍｏｌ碳／ｍｏｌ光量子,平均值为４．５５８×１０－２ｍｏｌ碳／ｍｏｌ光量子;浮游植物对光的利用效率为０．７９６×１０－２～１．８２４×１０－２。该海区夏季的光量子产值和光利用效率远高于其他海区。  相似文献   

Bootstrapping: A Fast Way to Simulate QTz Curves     

A. Berckmans  M. Armstrong 《Mathematical Geology》1999,31(4):471-485

The aim of this paper is to present a fast method based on bootstrapping, for simulating recoverable reserves for input to financial Monte Carlo simulations. In mining, the three parameters defining recoverable reserves are the cutoff grade, z, the ore tonnage above cutoff, T, and the metal quantity above cutoff, Q. After introducing the concept of 3-dimensional QTz curves, the statistical technique called bootstrapping is reviewed and applied to a set of South African gold grades. As selective mining is carried out on blocks not points, these curves have to be calculated for blocks. The QTz curves obtained by bootstrapping are compared to those obtained by conditionally simulating the same deposit. The procedure has been extended to incorporate geologists' ideas of the likely size of the ore volume. Lastly, the recoverable reserves obtained by bootstrapping are compared with those obtained by traditional risk analysis (base case ± 10% or 20%).  相似文献   

条件区域云概率分布模型     

邵启勇  张军 《气象科学》1999,19(1):57-65

本文在引入区域相关场和正态化转换技术的基础之上,通过MonteCarlo模拟建立了条件区域概率分布模型,较好地解决了单点概率和区域分布概率之间的关系,并通过大量计算,得到了条件区域概率分布模型的拟合函数,从而使区域范围内的概率天气预报成为可能。特别是为战时气象信息封锁条件下,进行区域范围内的概率天气预报提供了新的思路。  相似文献