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.     

Fractal generation of surface area of porous media

Many natural porous geological rock formations, as well as engineered porous structures, have fractal properties, i.e., they are self-similar over several length scales. While there have been many experimental and theoretical studies on how to quantify a fractal porous medium and on how to determine its fractal dimension, the numerical generation of a fractal pore structure with predefined statistical and scaling properties is somewhat scarcer. In the present paper a new numerical method for generating a three-dimensional porous medium with any desired probability density function (PDF) and autocorrelation function (ACF) is presented. The well-known Turning Bands Method (TBM) is modified to generate three-dimensional synthetic isotropic and anisotropic porous media with a Gaussian PDF and exponential-decay ACF. Porous media with other PDF's and ACF's are constructed with a nonlinear, iterative PDF and ACF transformation, whereby the arbitrary PDF is converted to an equivalent Gaussian PDF which is then simulated with the classical TBM. Employing a new method for the estimation of the surface area for a given porosity, the fractal dimensions of the surface area of the synthetic porous media generated in this way are then measured by classical fractal perimeter/area relationships. Different 3D porous media are simulated by varying the porosity and the correlation structure of the random field. The performance of the simulations is evaluated by checking the ensemble statistics, the mean, variance and ACF of the simulated random field. For a porous medium with Gaussian PDF, an average fractal dimension of approximately 2.76 is obtained which is in the range of values of actually measured fractal dimensions of molecular surfaces. For a porous medium with a non-Gaussian quadratic PDF the calculated fractal dimension appears to be consistently higher and averages 2.82. The results also show that the fractal dimension is neither strongly dependent of the porosity nor of the degree of anisotropy assumed.     

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。     

Has climate change driven spatio-temporal changes of cropland in northern China since the 1970s?

Improving the understanding of cropland change and its driving factors is a current focus for policy decision-makers in China. The datasets of cropland and cropland changes from the 1970s to the 2000s were used to explore whether climate change has produced spatio-temporal changes to cropland in northern China since the 1970s. Two representative indicators of heat and water resources, which are important determinants of crop growth and productivity, were considered to track climate change, including active accumulated temperatures ≥10 °C (AAT10) and the standardized precipitation evapotranspiration index (SPEI). Our results showed that rapid cropland change has occurred in northern China since the 1970s, and the area of cropland reclamation (10.23 million ha) was much greater than that of abandoned cropland (2.94 million ha). In the 2000s, the area of cropland with AAT10 higher than 3,000 °C·d increased, while the area of cropland with an SPEI greater than 0.25 decreased compared to the 1970s, 1980s and 1990s. It appears that climate warming has provided thermal conditions that have aided rapid cropland reclamation in northern China since the 1970s, and drier climatic conditions did not become a limiting factor for cropland reclamation, especially from the 1990s to the 2000s. Approximately 70 % of cropland reclamation areas were located in warmer but drier regions from the 1990s to the 2000s, and approximately 40 % of cropland abandonment occurred in warmer and wetter conditions that were suitable for agriculture during the periods from the 1970s to the 1980s and the 1990s to the 2000s. Our results suggest that climate change can be considered a driving factor of cropland change in the past several decades in northern China, in addition to socioeconomic factors.     

Rangeland production: use of models incorporating aggregated knowledge and fuzzy construction

This work reports on a method using fuzzy membership functions to construct an aggregated interaction matrix in which the summation of variables is scaled according to the way rainfall and soil variables affect water availability to plants and hence influence rangeland productivity. Aggregation of the variables gives a comprehensive value which can be used to predict production. The model increases the predicability of production to 81% compared to models using rainfall alone and a multiplicative parametric one which give predictibilities of 61 and 76% respectively. The results showed that (1) the importance of rainfall in determining production was most important at lower rainfalls i.e. <350 mm; (2) soil texture and particularly slope were important through out the rainfall range (149–700 mm) investigated; and (3) soil depth was only important at the higher >350 mm rainfalls. The aggregated interaction matrix gives a measure of land productive capability.     

平均血小板体积变化在急性胰腺炎中的临床意义及治疗效果评估价值

目的 探讨平均血小板体积等参数在急性胰腺炎病程中变化的临床意义及其对治疗效果评估的价值。方法 回顾性分析53例轻症急性胰腺炎（MAP）患者、25例重症急性胰腺炎（SAP）患者和40例健康者（对照组）的临床资料,检测平均血小板体积（MPV）、血小板计数（PLT）、血小板分布宽度（PDW）、白细胞计数（WBC）、C反应蛋白（CRP）及血清钙离子浓度（Ca²⁺）等指标。比较并分析上述指标在急性胰腺炎病程中及治疗前后的变化。结果 与对照组比较,急性胰腺炎患者入院时MPV显著升高,差异具有统计学意义（P<0.05）;与MAP组比较,SAP组入院时MPV明显升高,差异具有统计学意义（P<0.05）;SAP组中,MPV在入院后第3天较入院时进一步升高,至入院第5天、第7天逐渐下降;SAP组中,MPV在病程中各时间点与MAP组比较均显著升高,差异有统计学意义（P<0.05）;与治疗前比较,急性胰腺炎患者治疗后MPV显著降低,差异有统计学意义（P<0.05）。结论 急性胰腺炎患者平均血小板体积与病情严重程度及治疗效果相关。     

Surpac软件在某钼矿储量估算中的应用

三维矿床模型及可视化研究是我国"数字化矿山"进程中的热点,本文应用数字化矿山软件Surpac,针对某钼矿66个钻孔数据进行三维矿床模型的构建,最终在三维可视化模型的基础上进行了钼矿资源储量估算。与传统计算方法对比结果表明,Surpac软件三维模型所计算的结果准确可靠,且该模型可依据品位的变化进行矿体的动态圈定。     

Atmospheric insight to climatic signals of δ~(18)O in a Laohugou ice core in the northeastern Tibetan Plateau during 1960–2006

δ~(18)O variations;;ice core;;outgoing longwave radiation;;meridional wind;;northeastern Tibetan Plateau