Markov Chain Random Fields for Estimation of Categorical Variables

Multi-dimensional Markov chain conditional simulation (or interpolation) models have potential for predicting and simulating categorical variables more accurately from sample data because they can incorporate interclass relationships. This paper introduces a Markov chain random field (MCRF) theory for building one to multi-dimensional Markov chain models for conditional simulation (or interpolation). A MCRF is defined as a single spatial Markov chain that moves (or jumps) in a space, with its conditional probability distribution at each location entirely depending on its nearest known neighbors in different directions. A general solution for conditional probability distribution of a random variable in a MCRF is derived explicitly based on the Bayes’ theorem and conditional independence assumption. One to multi-dimensional Markov chain models for prediction and conditional simulation of categorical variables can be drawn from the general solution and MCRF-based multi-dimensional Markov chain models are nonlinear.     

Sequestration of CO2 in geological media: Criteria and approach for site selection in response to climate change

The well-developed coal electricity generation and coal chemical industries have led to huge carbon dioxide (CO₂) emissions in the northeastern Ordos Basin. The geological storage of CO₂ in saline aquifers is an effective backup way to achieve carbon neutrality. In this case, the potential of saline aquifers for CO₂ storage serves as a critical basis for subsequent geological storage project. This study calculated the technical control capacities of CO₂ of the saline aquifers in the fifth member of the Shiqianfeng Formation (the Qian-5 member) based on the statistical analysis of the logging and the drilling and core data from more than 200 wells in the northeastern Ordos Basin, as well as the sedimentary facies, formation lithology, and saline aquifer development patterns of the Qian-5 member. The results show that (1) the reservoirs of saline aquifers in the Qian-5 member, which comprise distributary channel sand bodies of deltaic plains, feature low porosities and permeabilities; (2) The study area hosts three NNE-directed saline aquifer zones, where saline aquifers generally have a single-layer thickness of 3‒8 m and a cumulative thickness of 8‒24 m; (3) The saline aquifers of the Qian-5 member have a total technical control capacity of CO₂ of 119.25 × 10⁶ t. With the largest scale and the highest technical control capacity (accounting for 61% of the total technical control capacity), the Jinjie-Yulin saline aquifer zone is an important prospect area for the geological storage of CO₂ in the saline aquifers of the Qian-5 member in the study area.     

Nitrogen storage and allocation in China’s forest ecosystems

Forests are important parts of terrestrial ecosystems and play a leading role in regional and global nitrogen(N) cycles.Detailed assessment of N storage and allocation in China's forests is critical to improve the accuracy of regional or global N estimates and to guide policy-makers in the formulation of scientific and effective N management measures. However, the fore stN storage at national scale remains unclear. Based on 4420 forest field-investigated data, we investigated the N storage allocation in China's forests, explored the spatial patterns and influence factors. The data included vegetation information on various organs(i.e., leaf, branch, stem, and root) and soil information at different depths(0-30 cm and 0-100 cm). The total N storage in China's forest ecosystems was 14.45±8.42 tN hm~(–2); 0.86±0.51 tN hm~(–2)(5.95%) in vegetation and 13.59±8.40 tN hm~(–2)(94.05%) in soil(0–100 cm). The storage and allocation of N varied significantly across various regions and forest types. For different ecological regions, N storage varied from 10.34 to 23.11 tN hm~(–2), and the allocation ratio of N storage between vegetation and soil(0–100 cm) varied from 0.03 to 0.16. For different forest types, the N storage varied from 12.87 to 18.32 tN hm~(–2), and the allocation ratio of N storage between vegetation and soil(0–100 cm) varied from 0.03 to 0.09. The spatial patterns relative to N storage and allocation in forests were different. Climate was the primary factor influencing the spatial variation in forestN storage, while soil texture was the main factor influencing the spatial variation in N allocation. These first estimates of N storage and allocation ratio in China's forests are keys for improving the fitting accuracy of regional N cycle models and provide a reference for regional management of forestN.     

豫01井水位异常与地震的关系分析

针对2018年青海德令哈台尕海井水位破年变异常,系统梳理和分析该井相关资料,发现该井两套水位仪运行稳定、数据一致性非常好,而这段时期异常与降雨和气压不相关,以及井孔附近地区的视应力值较高,表明该地区地壳应力水平进一步增强。利用水位变幅、去趋势和一阶差分分析,结果显示,该项异常信度较高,反映该区域构造活动信息,是周边两次中等强度地震的共同前兆,属于中短期异常。     

Maximum response of asymmetric structures subject to A multicomponent earthquake

A simple and general technique to obtain a six-component earthquake input motion of a rigid foundation using three-linear-components earthquake record is presented. Using the multicomponent input, the maximum structural response to an arbitrarily oriented earthquake is derived. The method is applied to determine the response spectrum for a two-d.o.f. laterally and torsionally coupled linear system. The effects of foundation geometry, structural properties and apparent wave velocity on the structural response are investigated. It is found that increasing the foundation size reduces the peak values of the input motion; this reduction is more pronounced for a square foundation than for a circular one.     

GDS—1000宽频带通用流动数字地震观测系统

GDS-1000宽频带通用流动数字地震观测系统主要用于大陆岩石层的人工及天然地震台阵研究、强震观测以及余震观测台网的临时布设。其主要技术指标为:动态范围120dB,前放增益1,16,128倍可调,高端频率6.25,25,45Hz可调,采样率25,100,200Hz可调,1MB固态数据存储器借助地震数据的压缩软件可以存储3MB以上的数据,工作温度范围-10—45℃,功耗小于3W。定时接受的BPM无线电授时信号可保证记录系统时钟校正误差小于10ms。其智能化地震触发系统可处于下列模态:近震触发,远震触发,近震和远震触发,任意地面运动信号触发,以及手动触发和定时触发。DSR-1000数字地震数据回收系统用于GDS-1000的参数预置、地震事件数据的转储和地震图的现场绘制。该系统在野外试验期间已取得大量近震、远震及核爆炸记录。     

Water relation characteristics ofAlhagi sparsifolia and consequences for a sustainable management

Water relation characteristics of the desert legumeAlhagi sparsifolia were investigated during the vegetation period from April to September 1999 in the foreland of Qira oasis at the southern fringe of the Taklamakan Desert, Xinjiang Uygur Autonomous Region of China. The seasonal variation of predawn water potentials and of diurnal water potential indicated thatAlhagi plants were well water supplied over the entire vegetation period. Decreasing values in the summer months were probably attributed to increasing temperatures and irradiation and therefore a higher evapotranspirative demand. Data from pressure-volume analysis confirmed thatAlhagi plants were not drought stressed and xylem sap flow measurements indicated thatAlhagi plants used large amounts of water during the summer months. Flood irrigation had no influence on water relations inAlhagi probably becauseAlhagi plants produced only few fine roots in the upper soil layers. The data indicate thatAlhagi sparsifolia is a drought-avoiding species that utilizes ground water by a deep roots system, which is the key characteristic to adjust the hyper-arid environment. Because growth and survival ofAlhagi depends on ground water supply, it is important that variations of ground water depth are kept to a minimum. The study will provide a theoretical basis for the restoration and management of natural vegetation around oasis in arid regions.

     

综合RS与GIS方法提取青藏高原冲川变化信息：以布喀塔格峰为例

冰川变化的常规观测方法在高原的大部分地区无法实施。遥感与地理信息系统技术的发展为研究冲川变化提供了有效的手段,本文以位于昆仑山脉中段的布喀塔格山峰冰川为例,利用１９７３年至１９９４年的ＲＢＶ,ＭＳＳ和ＴＭ遥感资料为信息源,综合目视判读与统计分析方法提取冰川界限,形成冰川边界图,并规一化坐标系统,以ＧＩＳ为工具分析该冲川群的变化情况,计算冲川进退变化速率。