Backward automatic calibration for three-dimensional landslide models     

Giacomo Titti  Giulia Bossi  Gordon G.D.Zhou  Gianluca Marcato  Alessandro Pasuto 《地学前缘(英文版)》2021,12(1):231-241

Back-analysis is broadly used for approaching geotechnical problems when monitoring data are available and information about the soils properties is of poor quality.For landslide stability assessment back-analysis calibration is usually carried out by time consuming trial-and-error procedure.This paper presents a new automatic Decision Support System that supports the selection of the soil parameters for three-dimensional models of landslides based on monitoring data.The method considering a pool of possible solutions,generated through permutation of soil parameters,selects the best ten configurations that are more congruent with the measured displacements.This reduces the operator biases while on the other hand allows the operator to control each step of the computation.The final selection of the preferred solution among the ten best-fitting solutions is carried out by an operator.The operator control is necessary as he may include in the final decision process all the qualitative elements that cannot be included in a qualitative analysis but nevertheless characterize a landslide dynamic as a whole epistemological subject,for example on the base of geomorphological evidence.A landslide located in Northeast Italy has been selected as example for showing the system potentiality.The proposed method is straightforward,scalable and robust and could be useful for researchers and practitioners.  相似文献   

Carboniferous ridge subduction in the Xingmeng Orogenic Belt: Constraints from geochronological,geochemical, and Sr-Nd-Hf isotopic analysis of strongly peraluminous granites and gabbro-diorites in the Xilinhot micro-continent     

Changfeng Liu  Zhiguang Zhou  Guosheng Wang  Chen Wu  Hongying Li  Shiwei Ma 《地学前缘(英文版)》2021,12(3):101103

The Xingmeng Orogenic Belt evolved through a long-lived orogeny involving multiple episodes of subduction and accretion. However, there is a debate on its tectonic evolution during the Late Paleozoic. Here, we report geochemical, geochronological, and isotopic data from strongly peraluminous granites and gabbro-diorites from the Sunidzuoqi–Xilinhot region. Zircon U–Pb ages suggest that the intrusive rocks were emplaced during the Early Carboniferous (333–322 Ma). The granites exhibit geochemical characteristics similar to S-type granites, with high SiO₂ (72.34–76.53 wt.%), Al₂O₃ (12.45–14.65 wt.%), and A/CNK (1.07–1.16), but depleted Sr, Nb, and Ta contents. They exhibit positive ε_Nd(t) and ε_Hf(t) values (?0.3 to 2.8 and 2.7–5.7, respectively) and young Nd and Hf model ages (T_DM2(Nd)=853–1110 Ma and T_DM2(Hf)=975–1184 Ma), suggesting that they may be the partial melting products of heterogeneous sources with variable proportions of pelite, psammite, and metabasaltic rocks. The meta-gabbro-diorites from the Maihantaolegai pluton have low SiO₂ (47.06–53.49 wt.%) and K₂O (0.04–0.99 wt.%) contents, and demonstrate slight light rare earth element (REE) depletion in the chondrite-normalized REE diagrams. They have high zircon ε_Hf(t) values (14.41–17.34) and young Hf model ages (T_DM2(Hf)= 230–418 Ma), indicating a more depleted mantle source. The variations of the Sm/Yb and La/Sm ratios can thus be used to assess the melting degree of the mantle source from 5% to 20%, suggesting a quite shallow mantle melting zone. We propose that the petrogenesis and distribution of the strongly peraluminous granites and gabbro-diorites, as well as the tectonic architecture of the region, can be explained by a ridge subduction model. Based on these results, and previous studies, we suggest a southward ridge subduction model for the Sunidzuoqi–Xilinhot region.  相似文献   

Predicting rock size distribution in mine blasting using various novel soft computing models based on meta-heuristics and machine learning algorithms     

Chengyu Xie  Hoang Nguyen  Xuan-Nam Bui  Yosoon Choi  Jian Zhou  Thao Nguyen-Trang 《地学前缘(英文版)》2021,12(3):101108

Blasting is well-known as an effective method for fragmenting or moving rock in open-pit mines. To evaluate the quality of blasting, the size of rock distribution is used as a critical criterion in blasting operations. A high percentage of oversized rocks generated by blasting operations can lead to economic and environmental damage. Therefore, this study proposed four novel intelligent models to predict the size of rock distribution in mine blasting in order to optimize blasting parameters, as well as the efficiency of blasting operation in open mines. Accordingly, a nature-inspired algorithm (i.e., firefly algorithm – FFA) and different machine learning algorithms (i.e., gradient boosting machine (GBM), support vector machine (SVM), Gaussian process (GP), and artificial neural network (ANN)) were combined for this aim, abbreviated as FFA-GBM, FFA-SVM, FFA-GP, and FFA-ANN, respectively. Subsequently, predicted results from the abovementioned models were compared with each other using three statistical indicators (e.g., mean absolute error, root-mean-squared error, and correlation coefficient) and color intensity method. For developing and simulating the size of rock in blasting operations, 136 blasting events with their images were collected and analyzed by the Split-Desktop software. In which, 111 events were randomly selected for the development and optimization of the models. Subsequently, the remaining 25 blasting events were applied to confirm the accuracy of the proposed models. Herein, blast design parameters were regarded as input variables to predict the size of rock in blasting operations. Finally, the obtained results revealed that the FFA is a robust optimization algorithm for estimating rock fragmentation in bench blasting. Among the models developed in this study, FFA-GBM provided the highest accuracy in predicting the size of fragmented rocks. The other techniques (i.e., FFA-SVM, FFA-GP, and FFA-ANN) yielded lower computational stability and efficiency. Hence, the FFA-GBM model can be used as a powerful and precise soft computing tool that can be applied to practical engineering cases aiming to improve the quality of blasting and rock fragmentation.  相似文献   

Field study on the behavior of pre-bored grouted planted pile with enlarged grout base     

Zhou  Jia-jin  Yu  Jian-lin  Gong  Xiao-nan  El Naggar  M. Hesham  Zhang  Ri-hong 《Acta Geotechnica》2021,16(10):3327-3338

This paper presents the results of field tests performed to investigate the compressive bearing capacity of pre-bored grouted planted (PGP) pile with enlarged grout base focusing on its base bearing capacity. The bi-directional O-cell load test was conducted to evaluate the behavior of full scale PGP piles. The test results show that the pile head displacements needed to fully mobilize the shaft resistance were 5.9% and 6.4% D (D is pile diameter), respectively, of two test piles, owing to the large elastic shortening of pile shaft. Furthermore, the results demonstrated that the PHC nodular pile base and grout body at the enlarged base could act as a unit in the loading process, and the enlarged grout base could effectively promote the base bearing capacity of PGP pile through increasing the base area. The normalized base resistances (unit base resistance/average cone base resistance) of two test piles were 0.17 and 0.19, respectively, when the base displacement reached 5% D_b (D_b is pile base diameter). The permeation of grout into the silty sand layer under pile base increased the elastic modulus of silty sand, which could help to decrease pile head displacement under working load.

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Machine learning reveals the influences of grain morphology on grain crushing strength     

Wang  Yihan  Ma  Gang  Mei  Jiangzhou  Zou  Yuxiong  Zhang  Daren  Zhou  Wei  Cao  Xuexing 《Acta Geotechnica》2021,16(11):3617-3630

Acta Geotechnica - Grain morphology has significant impacts on the mechanical behaviors of granular materials. However, its influences on grain breakage are still poorly understood due to the...  相似文献   

中国农业气象模式(CAMM1.0)构建与应用          下载免费PDF全文

马玉平  霍治国  王培娟  俄有浩  邬定荣  房世波  谭凯炎  张祎  孙琳丽  杨建莹  赵俊芳  周梦子  赫迪  徐嘉昕  毛飞  姜朝阳 《应用气象学报》2019,30(5):528-542

为发展适宜中国区域农业种植特点的农业气象模式,基于国外作物生长模拟方法,通过模式机理过程改进或重构以及应用方式革新,建立了中国农业气象模式（Chinese AgroMeteorological Model version 1.0,CAMM1.0）。CAMM1.0利用平均温度和土壤水分改进了作物发育进程模式,利用土壤水分改进了作物叶片光合作用、干物质分配和叶面积扩展过程模式,通过蒸发比法扩展了作物蒸散过程模式;自主建立了基于发育进程的冬小麦株高、基于遥感信息的作物灌溉、遥感数据同化、作物长势与灾害评价等模式。基于互联网技术构造了实时运转平台,主要功能包括作物生长过程实时常规模拟与用户个性化定制模拟。CAMM1.0的部分子模式采用多种方法构造,便于多模式集成。CAMM1.0对作物发育进程、光合过程、株高的模拟效果较好,但对土壤水分变化过程的拟合略差,模拟产量略偏低。CAMM1.0评价淮河流域夏玉米年际干旱减弱而涝渍增加的趋势与实际基本相符。  相似文献   

世界气象中心(北京)全球预报服务共享平台设计与实现     

胡争光  魏丽  薛峰  周庆亮 《气象科技》2019,47(4):581-591

世界气象中心(北京)建设是中国气象局承担世界气象组织(WMO)的全球数据处理和预报系统(GDPFS)要求的任务,为全球实时气象预报预测业务提供高效丰富的无缝隙天气气候监测、预报、预测分析指导产品及数据产品服务共享,提高区域性国际天气业务会商交流效率,国家气象中心设计并实现了世界气象中心(北京)全球预报服务共享平台,通过分析全球监测、预报预测等业务数据海量、异构、实时性强等特征,采用浏览器/服务器(B/S结构)多层架构和分布式实时处理、任务调度等关键技术实现了全球实况监测、天气模式、气候模式、模式检验数据的高效加工预处理、产品分析制作、产品自动流转、网络服务共享和业务指导等全流程业务功能,并提供了国际天气预报会商等专业化功能。平台自2018年6月6日业务运行以来,已有13个国家和地区注册会商用户,超过15万次全球访问量,为全球专业用户高效提供了全球实时天气监测、预报服务产品业务指导,未来将成为中国气象局对外气象业务指导和气象服务的重要窗口和纽带。  相似文献   

百色气候变化特征及城市适应策略建议     

何洁琳  陆甲  李艳兰  谢敏  黄卓  周美丽  黄雪松  秦川 《气象研究与应用》2019,(1):34-37

利用气候观测数据分析表明,近60a来,百色出现了与全球气候变化背景一致的增暖变化,主要变化特征有:气温明显升高,年降水日数减少,冬季降水量增多,年日照时数减少;高温和干旱频率高,20世纪90年代以来暴雨日数偏多。与广西平均气候变化状况相比,百色的气候变化程度风险低于广西平均水平。预估到本世纪中期,百色气温仍将缓慢升高,干旱和强降水的强度可能加剧。建议科学规划,统筹协调,科学评估城市气候承载力,开展城市适应气候变化风险管理,提升生态气候环境监测及自然灾害预警应急能力,建设生态气候宜居城市。  相似文献   

Geochemistry of magnetite from Proterozoic Fe-Cu deposits in the Kangdian metallogenic province,SW China   总被引：3，自引：0，他引：3  

Wei Terry Chen  Mei-Fu Zhou  Jian-Feng Gao  Ruizhong Hu 《Mineralium Deposita》2015,50(7):795-809

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川西坳陷新场气田水文地质地球化学特征及天然气运聚          下载免费PDF全文

周孝鑫  楼章华  朱蓉  朱宏权  黎华继  李飞 《地质科学》2015,50(1):330-339

新场气田是川西的主力产气区,发育深层上三叠统(须家河组二段、须家河组四段)和中浅层中、上侏罗统(上沙溪庙组、蓬莱镇组)含气层系,均不同程度地产出地层水,气水关系复杂,不同层位间气水存在一定的联系。纵向上,深层地层水埋深为3 000~5 500 m,随埋深增加矿化度、盐化系数逐渐增大,呈现高演化地层水特征;中浅层地层水埋深为500~2 200 m,沟通较频繁,水化学特征差异不大,均呈现低矿化度、低盐化系数和高碳酸氢根离子浓度特点;两者之间为地层水混合过渡带。平面上,中浅层上沙溪庙组地层水矿化度在断裂发育带附近出现高值,高值范围与深层须家河组地层水矿化度低值区基本相对应。这主要是由局部深层与中浅层地层水沿向下断至深层、向上断至中浅层的断层垂向沟通并发生混合作用导致的。中浅层断裂附近,沿断裂带上涌的深层地层水与中浅层原始沉积地层水发生混合作用,使得砂体富含高矿化度地层水,天然气则沿渗透性砂体侧向运移并在一定距离的圈闭内聚集成藏,这对研究区中浅层天然勘探具有指导意义。  相似文献