Drought occurred frequently in recent years in north China.In this study,MOD09A1,8-day surface reflectance derived from MODIS(moderate-resolution imaging spectroradiometer) images provided by NASA and monthly precipitation data from ground observations obtained by China Meteorological Data Sharing Service System, which were used to study temporal responses of MODIS-derived drought index to climatic factors in north China. Anomaly Vegetation Index(AVI) was computed from the time series data of NDVI(based on infrared and near infrared bands) and Anomaly Water Index(AWI) was calculated from NDWI(based on near infrared and short infrared wave bands) of MODIS.Given the consequences and pervasiveness of drought,it is important to assess the specialized indices that were used to assess drought sensitivity.The standardized precipitation index(SPI) has several characteristics that are an improvement in previous indices.In this paper,1—SPI,2—SPI,3—SPI,6 -SPI and 12 -SPI were calculated.The correlations and lag relationships between AVI from April to October(the growing season) during 2000 to 2009 and the multiple-time scale SPI in north China grassland and cropland sites were investigated based on MODIS and climate data.Besides,the relations between AVI and AWI in different periods were also analyzed.According to the sensitivity analysis of the response of AVI and AWI to drought,summer drought from June to September in 2009 in north China were monitored and analyzed by AWI.The results show; (1 ) the correlations are different between AVI and SPI at different time scales during vegetation growing seasons. For the grassland,the correlations are insignificant between AVI and 1 -SPI,but significant between AVI and 3 - SPI.However,the correlation is lower between AVI and SPI for cropland than that for grassland.In general,the correlation is higher between AVI and 3 -SPI for cropland.(2) Similarly to AVI,AWI shows lag response to SPI, and has better correlation with 3 -SPI.The correlation between AWI and 3 - SPI is better than that between AVI and 3 -SPI during period from June to August when serious drought occurs.Therefore,AWI is more sensitive to drought than AVI in north China.(3) The time-series drought monitoring maps in north China for 2009 derived from AWI reflects the temporal and spatial dynamics of drought,which are consistent with the relevant meteorological results.

矿山开采引起的地表移动是一个复杂的动态过程,传统的二维线划图不能全面、准确地表达地表的沉陷信息。基于ArcGIS地统计分析模块对开采沉陷中概率积分法的预计结果进行了分析和处理,实现了开采沉陷的三维立体显示及剖面图的生成,有助于更加直观和深入地研究地表移动情况,为研究开采沉陷规律和提高开采沉陷损害防治技术提供了更加直观有效的技术方法。

为了准确预测开采后塌陷区地表的淹没范围，确保煤矿生产安全，本文用概率积分法进行地表下沉预计，综合利用AutoCAD和Surfer绘图软件实现了沉陷前后矿区地形图的变更，对地表水体水位进行分析，提出了采煤塌陷区淹没范围的预测方法。以山西某矿开采沉陷后塌陷区淹没范围的计算为例，说明了进行塌陷区地表淹没范围预测的过程，提出了相应的安全措施，为确保该矿生产安全和塌陷淹没区域治理提供了科学依据。

采留宽是条带开采的关键参数.为了合理设计条带采留宽,以托板理论为基础,采用Matlab语言开发了基于托板理论的条带开采采留宽优化设计系统.重点介绍了系统结构、各个模块的功能及Matlab在系统开发过程中的应用.用实例验证了系统的正确性和可靠性.基于托板理论的条带开采设计方法具有坚实的理论基础,所开发的条带采留宽优化设计系统提高了条带开采设计的效率,为今后建筑物下条带开采设计提供了计算工具.

摘要：准确确定底板采动导水破坏带深度是合理设计底板防水安全煤岩柱，解决煤矿底板突水问题的关键之所在。本文综合分析了开采深度、煤层倾角、煤层开采厚度、工作面斜长等地质采矿条件对底板采动导水破坏带深度的影响。以22个典型工作面观测数据作为训练和测试样本，合理选择SVM中核函数、不敏感损失系数、惩罚因子等参数，建立了底板采动导水破坏深度与各影响因素之间的SVM回归模型。最后进行了测试分析，测试结果说明采用SVM所建立的关系模型可以较好地根据各影响因素求取底板采动导水破坏带深度，获得的底板导水破坏带深度精度可靠、能够满足设计需要。研究成果表明采用SVM的方法计算底板采动导水破坏带深度是可行的，该方法可以综合考虑多种因素对底板采动导水破坏带深度的影响，为今后快速准确地求取底板采动导水破坏带深度提供了一个新的方法和途径。