地下铁矿扩界开采地表影响范围预测

矿山开采活动形成的地下空区往往会对地表造成一定的影响,为确保矿山的安全生产并提供地表影响范围计算的科学依据,现根据某铁矿采用下向胶结充填法采矿需进行扩界开采的工程实际,将该矿的地表影响范围运用概率积分法进行预测。在已知该矿9条勘探线矿体形状的基础上,根据图件可得矿体的埋深、倾角、产状等基础资料,对于较薄矿体以及尖灭部位需做适当的处理,提供更为客观正确的计算数据。以地表沉陷数值的大小为参考标准运用概率积分法计算出地表移动边界和需监测范围,并计算倾斜、曲率和水平应变判断地表建筑物是否位于安全区。可得矿区周边房屋均处于安全区内和地表移动边界之外,扩界开采对地表影响较小,为同类工程提供参考和建议。     

风帘长度对采空区瓦斯体积分数及自燃“三带”分布的影响

采用Fluent软件,对工作面进风侧无风帘、风帘长度20 m、30m、40m四种情况下的采空区流场进行了数值模拟,分析了不同风帘长度下采空区瓦斯和自燃“三带”的分布情况.结果表明:随风帘长度增加,采空区瓦斯爆炸范围虽变化不明显,但距工作面越来越近;采空区自燃带逐渐向工作面靠近,能使窒息带在采空区走向方向上变宽,覆盖原本位于采空区自燃带中后部(靠近窒息带)的高温点,降低采空区自燃发火的危险性.     

Morphology, growth and carbohydrate storage of the plant Typha angustifolia at different water depths

Morphological characteristics, growth and carbohydrate storage dynamics of Typha angustifolia in relation to water depth were investigated. The study was based on observations carried out in two stands, namely Akigase and Teganuma, for two growth seasons. The latter stand was about two times deeper than the former. Teganuma stands exhibited significantly higher number of thick shoots compared to those of Akigase. Conversely, the difference in shoot heights between the two stands was insignificant. The same was true for rhizome lengths. Rhizome diameters were significantly bigger for Teganuma compared to Akigase. Furthermore, both the above and belowground biomass were significantly higher for Teganuma compared to those of Akigase. Teganuma stands allocated 55% of the total biomass to the aboveground parts, while Akigase stands allocated 60%. Similarly, Teganuma exhibited significantly higher stocks of total non-structural carbohydrates (TNC) compared to Akigase. The higher number of thick shoots and the relatively bigger rhizome diameters in Teganuma are seemingly important tolerance strategies in maintaining effective aeration into the rhizosphere, by reducing internal resistance. In addition, the higher TNC stocks and biomass help not only to enhance survival under anoxia for longer durations, they also provide firm substrate anchorage in the deeper Teganuma stands.     

硐室爆破中安全填塞长度设计原则的研究

通过分析药室体积和药室横断面积，应用气体运动相似的特性，推导出一种新的硐室爆破填塞长度设计原则，并给出了计算实例     

矿井瓦斯危险状态评价研究

运用模糊系统理论,按照瓦斯危险状态存在的模糊客观性,提出了瓦斯危险状态评价语言因于描述方法;结合提出的矿井瓦斯危险状态程度及其存在程度的可能性度量方法,构成了瓦斯危险状态评价的多值化描述方法,而且包含了更多的状态描述信息,对指标间相互关联制约作用进行了进一步的研究,挖掘了指标间相互关联制约对评价结论的本质影响．     

对几种大气环境预测方法的评估

本文根据石家庄市的常规气象资料和混合层高度,用不同的计算模式和计算方法对本市特征污染因子SO_4的长期平均浓度进行计算,把计算结果与实测浓度比较并进行误差分析,对每种计算方法进行评价,最后讨论了各种计算方法的特点及在城市大气环境预测中的实用性.     

Development of a SWAT Patch for Better Estimation of Sediment Yield in Steep Sloping Watersheds1

Abstract: The watershed scale Soil and Water Assessment Tool (SWAT) model divides watersheds into smaller subwatersheds for simulation of rainfall‐runoff and sediment loading at the field level and routing through stream networks. Typically, the SWAT model first needs to be calibrated and validated for accurate estimation through adjustment of sensitive input parameters (i.e., Curve Number values, USLE P, slope and slope‐length, and so on). However, in some instances, SWAT‐simulated results are greatly affected by the watershed delineation and Digital Elevation Models (DEM) cell size. In this study, the SWAT ArcView GIS Patch II was developed for steep sloping watersheds, and its performance was evaluated for various threshold values and DEM cell size scenarios when delineating subwatersheds using the SWAT model. The SWAT ArcView GIS Patch II was developed using the ArcView GIS Avenue program and Spatial Analyst libraries. The SWAT ArcView GIS Patch II improves upon the SWAT ArcView GIS Patch I because it reflects the topographic factor in calculating the field slope‐length of Hydrologic Response Units in the SWAT model. The simulated sediment value for 321 subwatersheds (watershed delineation threshold value of 25 ha) is greater than that for 43 subwatersheds (watershed delineation threshold value of 200 ha) by 201% without applying the SWAT ArcView GIS Patch II. However, when the SWAT ArcView GIS Patch II was applied, the difference in simulated sediment yield decreases for the same scenario (i.e., difference in simulated sediment with 321 subwatersheds and 43 subwatersheds) was 12%. The simulated sediment value for DEM cell size of 50 m is greater than that for DEM cell size of 10 m by 19.8% without the SWAT ArcView GIS Patch II. However, the difference becomes smaller (3.4% difference) between 50 and 10 m with the SWAT ArcView GIS Patch II for the DEM scenarios. As shown in this study, the SWAT ArcView GIS Patch II can reduce differences in simulated sediment values for various watershed delineation and DEM cell size scenarios. Without the SWAT ArcView GIS Patch II, variations in the SWAT‐simulated results using various watershed delineation and DEM cell size scenarios could be greater than those from input parameter calibration. Thus, the results obtained in this study show that the SWAT ArcView GIS Patch II should be used when simulating hydrology and sediment yield for steep sloping watersheds (especially if average slope of the subwatershed is >25%) for more accurate simulation of hydrology and sediment using the SWAT model. The SWAT ArcView GIS Patch II is available at http://www.EnvSys.co.kr/~swat for free download.