Effects of rainfall on soil moisture and water movement in a subalpine dark coniferous forest in southwestern China

Water content and movement in soil profile and hydrogen isotope composition (δD) of soil water, rainwater, and groundwater were examined in a subalpine dark coniferous forest in the Wolong National Nature Reserve in Sichuan, China, following rainfall events in 2003–2004. Light rainfall increased water content in the litter and at soil depth of 0–80 cm, but the increased soil water was lost in several days. Heavy rainfall increased soil water content up to 85% at depths of 0–40 cm. Following the light rainfall in early spring, the δD of water from the litter, humus, illuvial, and material layers decreased first and then gradually reached the pre‐rainfall level. In summer, light rainfall reached the litter humus, and illuvial layer, but did not hit the material layer. Heavy rainfall affected δD of water in all layers. The δD of soil interflow slightly fluctuated with rainfall events. The δD of shallow groundwater did not differ significantly among all rainfall events. Light rainfall altered the shape of δD profile curve of water in the upper layer of soil, whereas heavy rainfall greatly affected the shape of δD profile curve of water in all soil layers. Following the heavy rainfall, preferential flow initially occurred through macropores, decayed plant roots, and rocks at different depths of soil profile. With continuing rainfall, the litter and surface soil were nearly saturated or fully saturated, and infiltration became homogeneous and plug‐like. Forest soil water, particularly in deeper soil profile, was slightly affected by rainfall and, thus, can be a source of water supply for regional needs, particularly during dry seasons. Copyright © 2011 John Wiley & Sons, Ltd.     

Vision-based system of AUV for an underwater pipeline tracker

This paper describes a new framework for detection and tracking of underwater pipeline,which includes software system and hardware system.It is designed for vision system of AUV based on monocular CCD camera.First,the real-time data flow from image capture card is pre-processed and pipeline features are extracted for navigation.The region saturation degree is advanced to remove false edge point group after Sobel operation.An appropriate way is proposed to clear the disturbance around the peak point in the process of Hough transform.Second,the continuity of pipeline layout is taken into account to improve the efficiency of line extraction.Once the line information has been obtained,the reference zone is predicted by Kalman filter.It denotes the possible appearance position of the pipeline in the image.Kalman filter is used to estimate this position in next frame so that the information of pipeline of each frame can be known in advance.Results obtained on real optic vision data in tank experiment are displayed and discussed.They show that the proposed system can detect and track the underwater pipeline online,and is effective and feasible.     

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A cyclic UH model for sand

A simple cyclic elastoplastic constitutive model for sand is proposed based on the UH model for overconsolidated clay. The proposed model has the following features. First, in order to describe the stress-induced anisotropy in sand, a rotational hardening rule is introduced for the evolution of the yield surface axis with development of plastic deviatoric strain in the principal stress space. Second, the relationship between the rotational axis and stress-induced anisotropy is modeled by introducing the slope of rotational axis into the yield function. The fl atness of the yield surface can be determined by the slope of rotational axis. Finally, a revised unifi ed hardening parameter is proposed to incorporate the stress-induced anisotropy. The model capability in describing the cyclic response of sand is verifi ed by comparing the simulations with available test results.     

Geochemical characteristics of mud volcano fluids in the southern margin of the Junggar basin,NW China: implications for fluid origin and mud volcano formation mechanisms

Mud volcanoes can provide important information about the underlying strata, hydrocarbon accumulation, and recent neotectonic movements in an area. The fluids erupting from mud volcanoes provide important information about their formation and evolution. The ion concentration and the hydrogen and oxygen isotopes of the fluids that were erupted from the three mud volcano groups, Baiyanggou, Aiqigou, and Dushanzi, and nearby rivers in the southern margin of the Junggar basin, northwestern China, are studied. The concentrations of Na and Cl in mud volcano fluids are clearly elevated, displayed as the Na-Cl type. The δD and δ18O values of the fluids are similar between the Baiyanggou and Dushanzi mud volcanoes, which are mainly from ancient sedimentary pore water. However, the Aiqigou mud volcano is depleted in dissolved Cl and shows lower δ18O values with mixed sources, including deep pore and local meteoric water. Two types of mud volcanoes are proposed in this study. One type is low-energy mud volcanoes with a low volume of fluid of deep origin on the hillcrest, which display as mud pool/pie/hole. The other type is high-energy mud volcanoes having mixed fluid origin in the valley and formed in the shape of a mud cone (dome).     

鲁西～2.6 Ga 深熔作用：泰山地区浅色脉体的野外地质和地球化学研究

泰山地区深熔作用十分发育,是鲁西～2.6 Ga 构造热事件的典型代表。广泛分布的2.6 Ga浅色脉体主要是片麻状英云闪长岩在水不饱和的条件下含水矿物发生脱水熔融形成,在局部地区存在水饱和熔融。根据浅色脉体岩相学和地球化学特征,可将其进一步划分为3种类型：具正Eu异常奥长岩浅色体、无明显Eu异常奥长花岗岩浅色体和具负 Eu 异常 花岗岩浅色体。矿物结晶分异对浅色体组成变化起了很大作用。由于有充足的时间和空间,部分斜长石较早结晶出来并聚集形成具正Eu异常的浅色体。剩余熔体继续运移过程中,斜长石、钾长石及石英近同时结晶,组成近等粒镶嵌结构,形成具负 Eu 异常的花岗岩浅色体。无明显 Eu 异常的浅色体最接近原始熔体。     

Progress on Sedimentation of Subaqueous Volcanic Eruption

In recent years, more and more originally regarded as black oil and gas-bearing shales have been found, whose formation has close relationship with subaqueous volcanic activities, with much more fundamental research work on tight oil in China. However, our study of sedimentations of subaqueous eruption has not been well studied since their sediments are very tiny, not easy to be sampled, and extremely difficult to differentiate from mud-size clastic sediments. This paper reviewed the advances of the processes of fragmentation, transportation, and deposition of sediments originated by subaqueous eruption, on the basis of publications and research experience on some special intervals in interlaminated shales and dolostones in Permian Lucaogou Formation in Santanghu Basin. Three main features and their implications were documented. ① Minerals in those intervals were angular with a low component maturity, and some of them were shard-like, suggesting volcanic-eruptive origin. ② Intervals were laminated and thin bedded. The former had a sharp erosional base, and was internal normal graded, and showed crude orientation of elongate grains parallel to bedding plane, suggesting deposition of lateral tractive current; the latter showed messy accumulation without internal structure, suggesting deposition of dense granular flow. ③ Intervals were localized and repetitive in stratigraphy, indicating origin from episodic-pulsating volcanic activities. We preliminarily interpreted those intervals as sedimentations of subaqueous volcanic-hydrothermal activities (phreatomagmatic/hydrovolcanic deposition). Then, the relationship of intraclasts, extraclasts, and deep-derived clasts, the difference of sedimentary rocks formed by subaqueous between subaerial eruptions, and the terminology of these eruptive rocks were discussed. Finally, macro to micro scale observation, micro-texture of minerals, attaching importance on hydrothermal exhalative sedimentations, and multidisciplinary studies were suggested for future research on those rocks.     

3D inversion of DC data using artificial neural networks

In this paper, we investigate the applicability of artificial neural networks in inverting three-dimensional DC resistivity imaging data. The model used to produce synthetic data for training the artificial neural network (ANN) system was a homogeneous medium of resistivity 100 Ωm with an embedded anomalous body of resistivity 1000 Ωm. The different sizes for anomalous body were selected and their location was changed to different positions within the homogeneous model mesh elements. The 3D data set was generated using a finite element forward modeling code through standard 3D modeling software. We investigated different learning paradigms in the training process of the neural network. Resilient propagation was more efficient than any other paradigm. We studied the effect of the data type used on neural network inversion and found that the use of location and the apparent resistivity of data points as the input and corresponding true resistivity as the output of networks produces satisfactory results. We also investigated the effect of the training data pool volume on the inversion properties. We created several synthetic data sets to study the interpolation and extrapolation properties of the ANN. The range of 100–1000 Ωm was divided into six resistivity values as the background resistivity and different resistivity values were also used for the anomalous body. Results from numerous neural network tests indicate that the neural network possesses sufficient interpolation and extrapolation abilities with the selected volume of training data. The trained network was also applied on a real field dataset, collected by a pole-pole array using a square grid (8 ×8) with a 2-m electrode spacing. The inversion results demonstrate that the trained network was able to invert three-dimensional electrical resistivity imaging data. The interpreted results of neural network also agree with the known information about the investigation area.     

加卸载响应比与震前应力积累模式研究

加卸载响应比是一种中短期地震预测方法.按照该方法,通常在大地震发生之前加卸载响应比时间序列会出现明显的异常高值.早先的研究发现,震前临界区域的选择对加卸载响应比的计算有很大影响.我们发展了一种使用震前应力积累区域取代传统圆形区域计算加卸载响应比的算法,提高了加卸载响应比的地震预测能力,其震前库仑应力场分布采用地震断层位错模型将同震滑移量反向滑移的方法计算.美国南加州近20年来发生的4次M6.5地震以及2008年中国汶川MS8.0地震的研究事实表明,使用库仑应力算法得到的加卸载响应比时间序列,前兆变化相对于圆形区域算法更为明显,且对目标地震的位置、震级预测更为明确.库仑应力算法的这一独特性质,使我们可以针对不同地区的活动构造特征对未来地震发生的地点和大小提供信息和约束.