• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索
High Impact Results & Cited Count Trend for Year Keyword Cloud and Partner Relationship
Sort by:
Default
  • Default
  • Title
  • Year
  • WOS Cited Count
  • Impact factor
  • Ascending
  • Descending
< Page ,Total 1 >
Global Sensitivity Analysis of Slope Stability Considering Effective Rainfall with Analytical Solutions SCIE
期刊论文 | 2025 , 17 (2) | WATER
Abstract&Keyword Cite

Abstract :

Rainfall-induced landslides are widely distributed in many countries. Rainfall impacts the hydraulic dynamics of groundwater and, therefore, slope stability. We derive an analytical solution of slope stability considering effective rainfall based on the Richards equation. We define effective rainfall as the total volume of rainfall stored within a given range of the unsaturated zone during rainfall events. The slope stability at the depth of interest is provided as a function of effective rainfall. The validity of analytical solutions of system states related to effective rainfall, for infinite slopes of a granite residual soil, is verified by comparing them with the corresponding numerical solutions. Additionally, three approaches to global sensitivity analysis are used to compute the sensitivity of the slope stability to a variety of factors of interest. These factors are the reciprocal of the air-entry value of the soil alpha, the thickness of the unsaturated zone L, the cohesion of soil c, the internal friction angle phi related to the effective normal stress, the slope angle beta, the unit weights of soil particles gamma(s), and the saturated hydraulic conductivity K-s. The results show the following: (1) The analytical solutions are accurate in terms of the relative differences between the analytical and the numerical solutions, which are within 5.00% when considering the latter as references. (2) The temporal evolutions of the shear strength of soil can be sequentially characterized as four periods: (i) strength improvement due to the increasing weight of soil caused by rainfall infiltration, (ii) strength reduction controlled by the increasing pore water pressure, (iii) strength reduction due to the effect of hydrostatic pressure in the transient saturation zone, and (iv) stable strength when all the soil is saturated. (3) The large alpha corresponds to high effective rainfall. (4) The factors ranked in descending order of sensitivity are as follows: alpha > L > c > beta > gamma(s) > K-s > phi.

Keyword :

analytic solution analytic solution effective rainfall effective rainfall global sensitivity analysis global sensitivity analysis shear strength shear strength slope stability slope stability

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 Xia, Chuan-An , Zhang, Jing-Quan , Wang, Hao et al. Global Sensitivity Analysis of Slope Stability Considering Effective Rainfall with Analytical Solutions [J]. | WATER , 2025 , 17 (2) .
MLA Xia, Chuan-An et al. "Global Sensitivity Analysis of Slope Stability Considering Effective Rainfall with Analytical Solutions" . | WATER 17 . 2 (2025) .
APA Xia, Chuan-An , Zhang, Jing-Quan , Wang, Hao , Jian, Wen-Bin . Global Sensitivity Analysis of Slope Stability Considering Effective Rainfall with Analytical Solutions . | WATER , 2025 , 17 (2) .
Export to NoteExpress RIS BibTex

Version :

Reduced-order Monte Carlo simulation framework for groundwater flow in randomly heterogeneous composite transmissivity fields SCIE
期刊论文 | 2025 , 651 | JOURNAL OF HYDROLOGY
Abstract&Keyword Cite

Abstract :

We develop a reduced-order modeling strategy aimed at providing numerical Monte Carlo simulations of groundwater flow in randomly heterogeneous transmissivity fields. We rely on moment equations for groundwater flow and conduct space reductions for both transmissivity, T , and hydraulic head, h . A truncated singular value decomposition (SVD) solver is employed to cope with the ill-conditioned stiffness matrix caused by (negative and thus) unphysical values of T that might arise due to possible low accuracy stemming from the order of model reduction. The performance of the approach is assessed through the analysis of various synthetic reference scenarios. These encompass diverse degrees of heterogeneity of the transmissivity field and various values of reduced-order dimensions, n and m , associated with h and T , respectively. Transmissivity is conceptualized as a composite (spatial) random field where there is uncertainty in the locations of regions associated with diverse geomaterials as well as in the heterogeneity of transmissivity therein. Our results are also compared against their counterparts that one could obtain upon performing a model reduction solely on the basis of hydraulic heads. Our findings show that: (i) resting on the truncated SVD solver is beneficial for coping with ill- conditioned stiffness matrices; (ii) the two model reduction strategies provide comparable solution accuracy for m >= 5n, while (iii) the computational cost associated with the reduced-order model based on space reduction for both T and h is always significantly smaller than that associated with space reduction based solely on h .

Keyword :

Groundwater Groundwater Moment equations Moment equations Monte Carlo simulation Monte Carlo simulation Reduced-order model Reduced-order model Truncated singular value decomposition Truncated singular value decomposition

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 Xia, Chuan-An , Wang, Hao , Jian, Wenbin et al. Reduced-order Monte Carlo simulation framework for groundwater flow in randomly heterogeneous composite transmissivity fields [J]. | JOURNAL OF HYDROLOGY , 2025 , 651 .
MLA Xia, Chuan-An et al. "Reduced-order Monte Carlo simulation framework for groundwater flow in randomly heterogeneous composite transmissivity fields" . | JOURNAL OF HYDROLOGY 651 (2025) .
APA Xia, Chuan-An , Wang, Hao , Jian, Wenbin , Riva, Monica , Guadagnini, Alberto . Reduced-order Monte Carlo simulation framework for groundwater flow in randomly heterogeneous composite transmissivity fields . | JOURNAL OF HYDROLOGY , 2025 , 651 .
Export to NoteExpress RIS BibTex

Version :

相关性阻滞作用对局域化迭代集合平滑估计渗透系数的影响
期刊论文 | 2025 , 33 (2) , 733-743 | 工程地质学报
Abstract&Keyword Cite

Abstract :

基于相关性的局域化集合数据同化方法适用于观测信息与反演参数之间不存在物理距离时的情形,但参数的反演精度受阻滞作用影响.为了厘清相关性阻滞作用对局域化迭代集合平滑估计渗透系数的影响,本文采用不同的集合大小N,相关系数(包括Pearson,Kendall和Spearman)、和阻滞函数(包括12种函数)构建局域化迭代平滑方法用于估计二维孔隙承压含水层的渗透系数场.研究结果显示:(1)使用Pearson相关系数得到的渗透系数反演精度最高,其次为Spearman;(2)当考虑椭圆方程分别与Gaspari-Cohn,双曲正切函数和指数函数组合的复合函数作为阻滞函数时,局域化效果总体优于其他组合的阻滞函数.本文提出的相关性局域化迭代集合平滑方法框架和研究结果可为水文地质参数估计的研究与应用提供重要的参考.

Keyword :

相关性局域化 相关性局域化 相关系数 相关系数 迭代集合平滑 迭代集合平滑 阻滞函数 阻滞函数

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 夏传安 , 高欣宇 , 王浩 et al. 相关性阻滞作用对局域化迭代集合平滑估计渗透系数的影响 [J]. | 工程地质学报 , 2025 , 33 (2) : 733-743 .
MLA 夏传安 et al. "相关性阻滞作用对局域化迭代集合平滑估计渗透系数的影响" . | 工程地质学报 33 . 2 (2025) : 733-743 .
APA 夏传安 , 高欣宇 , 王浩 , 简文彬 . 相关性阻滞作用对局域化迭代集合平滑估计渗透系数的影响 . | 工程地质学报 , 2025 , 33 (2) , 733-743 .
Export to NoteExpress RIS BibTex

Version :

耦合变密度地下水流降阶模型与高斯过程的蒙特卡罗模拟
期刊论文 | 2024 , 51 (5) , 1-13 | 水文地质工程地质
Abstract&Keyword Cite

Abstract :

变密度地下水流系统受水力梯度和密度梯度共同驱动,非线性强,数值模型计算量大,尤其在开展不确定性分析时需要的计算成本很高。常规的数据驱动机器学习方法只能对点监测信息进行模拟分析,不能模拟整个地下水流系统。本研究发展了变密度地下水流降阶模型,利用高斯过程模型对降阶模型的数值误差进行修正组成耦合模型。耦合模型既能克服高斯过程只能模拟有限监测点信息的缺陷,又能提高降阶模型对监测点信息的模拟精度。考虑二维剖面变密度地下水流案例,将渗透系数场设定为空间随机变量,采用基于全阶模型(FSMC)、降阶模型(ROMC)和耦合模型(GP-ROMC)3种蒙特卡罗模拟方法进行不确定分析。研究结果表明:(1)ROMC能替代FSMC开展不确定性分析;(2)水头和盐度的平均相对二范误差与降阶模型维度的关系可用指数函数描述(决定性系数R2≥0.99);(3)GP-ROMC对监测点信息的模拟精度比ROMC高,GP-ROMC可有效修正降阶模型误差提高蒙特卡罗模拟的精度。研究成果可为地下水建模、不确定性分析、风险评估及参数反演等工作提供重要技术支撑。

Keyword :

变密度地下水流 变密度地下水流 地下水 地下水 蒙特卡罗模拟 蒙特卡罗模拟 降阶模型 降阶模型 高斯过程 高斯过程

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 夏传安 , 樊秀峰 , 王浩 et al. 耦合变密度地下水流降阶模型与高斯过程的蒙特卡罗模拟 [J]. | 水文地质工程地质 , 2024 , 51 (5) : 1-13 .
MLA 夏传安 et al. "耦合变密度地下水流降阶模型与高斯过程的蒙特卡罗模拟" . | 水文地质工程地质 51 . 5 (2024) : 1-13 .
APA 夏传安 , 樊秀峰 , 王浩 , 简文彬 . 耦合变密度地下水流降阶模型与高斯过程的蒙特卡罗模拟 . | 水文地质工程地质 , 2024 , 51 (5) , 1-13 .
Export to NoteExpress RIS BibTex

Version :

Characterization of conductivity fields through iterative ensemble smoother and improved correlation-based adaptive localization SCIE
期刊论文 | 2024 , 634 | JOURNAL OF HYDROLOGY
Abstract&Keyword Cite

Abstract :

Localization is critical to the effective use of an (iterative) ensemble Kalman filter or ensemble smoother to estimate uncertain quantities of interest. Here, we propose a novel, fully adaptive, correlation-based localization method (termed FBadap). We embed our FBadap approach within an iterative ensemble smoother to estimate three-dimensional spatially heterogeneous log-conductivity (Y) fields. The latter are characterized through a Generalized sub-Gaussian model, which includes the Gaussian distribution as a particular case. They constitute random fields within which head and concentration observations are collected at monitoring wells screened at multiple depths. To ensure transparent comparisons, we study and analyze the performance of our approach through a wide range of synthetic test cases. These comprise diverse configurations, including (a) various ensemble sizes, (b) various degrees of departure of the description of the spatial heterogeneity from a Gaussian model, as well as (c) different values of the mean and variance of the initial ensemble of Y. Our results show that (i) FBadap is robust adaptive approach enabling one to tackle a variety of settings; (ii) FBadap exhibits stronger adaptivity to cope with diverse ensemble sizes than FBconst, and can provide improved accuracy of conductivity estimates in comparison with traditional methods; and (iii) the quality of conductivity estimates is jointly impacted by the degree of departures of the reference Y field and of the initial ensemble of Y from a description based on a Gaussian model.

Keyword :

Adaptive threshold Adaptive threshold Contamination Contamination Correlation-based localization Correlation-based localization Ensemble-based data assimilation Ensemble-based data assimilation Generalized sub-Gaussian model Generalized sub-Gaussian model Iterative ensemble smoother Iterative ensemble smoother

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 Xia, Chuan-An , Li, Jiayun , Riva, Monica et al. Characterization of conductivity fields through iterative ensemble smoother and improved correlation-based adaptive localization [J]. | JOURNAL OF HYDROLOGY , 2024 , 634 .
MLA Xia, Chuan-An et al. "Characterization of conductivity fields through iterative ensemble smoother and improved correlation-based adaptive localization" . | JOURNAL OF HYDROLOGY 634 (2024) .
APA Xia, Chuan-An , Li, Jiayun , Riva, Monica , Luo, Xiaodong , Guadagnini, Alberto . Characterization of conductivity fields through iterative ensemble smoother and improved correlation-based adaptive localization . | JOURNAL OF HYDROLOGY , 2024 , 634 .
Export to NoteExpress RIS BibTex

Version :

微生物固土胶结液的尿素和氯化钙优化配比试验
期刊论文 | 2024 , 52 (6) , 748-754 | 福州大学学报(自然科学版)
Abstract&Keyword Cite

Abstract :

采用微生物诱导碳酸钙沉淀(MICP)技术,开展不同胶结液配比方案的粘性土固化试验.测试MICP固化土样的物理性质、力学强度和矿化反应后的碳酸钙含量,研究胶结液中不同尿素和氯化钙体积配比对土体试样加固效果的影响.结果表明,MICP加固后的各试样与天然含水率重塑土样相比,其含水率和孔隙率均减小,干密度与碳酸钙含量增加,颗粒表面积聚大量CaCO3 晶体,抗剪强度与抗压强度均有不同程度的提高.当尿素和氯化钙的体积配比为 1∶1 时,微生物矿化形成的碳酸钙含量最高;当尿素和氯化钙的体积配比为2∶1时,微生物矿化试样的强度更高.分析认为微生物固土的效果不仅与矿化后的碳酸钙含量有关,也与矿化结晶体的微观结构及其在土体孔隙中的充填特性密切相关.

Keyword :

力学强度 力学强度 固化试验 固化试验 微生物诱导碳酸钙沉淀技术 微生物诱导碳酸钙沉淀技术 粘性土 粘性土 胶结液配比 胶结液配比

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 王浩 , 赖国正 , 夏传安 et al. 微生物固土胶结液的尿素和氯化钙优化配比试验 [J]. | 福州大学学报(自然科学版) , 2024 , 52 (6) : 748-754 .
MLA 王浩 et al. "微生物固土胶结液的尿素和氯化钙优化配比试验" . | 福州大学学报(自然科学版) 52 . 6 (2024) : 748-754 .
APA 王浩 , 赖国正 , 夏传安 , 蔡晖 , 吴志刚 . 微生物固土胶结液的尿素和氯化钙优化配比试验 . | 福州大学学报(自然科学版) , 2024 , 52 (6) , 748-754 .
Export to NoteExpress RIS BibTex

Version :

10| 20| 50 per page
< Page ,Total 1 >

Export

Results:

Selected

to

Format:
Online/Total:650/10841646
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1