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The influence of cavern’s span on surrounding rock classification is getting more and more recognition along with large span underground working’s increasingly coming forth. The authors analyse the timbering expense of cavern in jointed rock mass, the radius of plastic loosened zone and the size effect of macroscopical mechanical parameters of rock mass. Based on the complexion of depressing of surrounding rock’s stability due to increment of cavern’s span, the authors pinpoint attaching importance to the influence of cavern’s span on surrounding rock classification; and suggest reckoning the factor of cavern’s span in surrounding rock classification scientifically by studying the size effect of rock mass’s physico-mechanical parameters. 相似文献
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Bin Chen 《Geochimica et cosmochimica acta》2005,69(22):5387-5388
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洱海环境演变与大理城市发展的关系研究 总被引:1,自引:0,他引:1
针对洱海特殊的生态环境和对大理城市发展所起的举足轻重的作用,2002年通过实地环境调查和系列历史及动态资料分析进行了洱海和大理城市之问人地关系的互动研究。概括出大理城市发展的5个阶段,结果表明人类生存场所发展的总趋势是从高处往低处下移,从山前台地向下迁往山缘冲积洪积扇平原,直至湖滨平原地带。并着重分析了变迁的原因和人类活动的影响状况,从而使人们在开发利用洱海的同时,促进人类活动和城市发展建设相得益彰,并建议选择旅游和供水为主的和谐可持续发展道路,强化政府的宏观管理,增大科技投入。 相似文献
176.
中国陆地净初级生产力的季节变化研究 总被引:22,自引:1,他引:22
了解不同季节陆地净初级生产力(NPP)的变化及与气候的相互关系以及在不同地类的差异对深刻理解我国陆地生态系统对全球气候变化的响应和陆地碳循环研究具有重要意义。本文使用1981~2000年间GLO-PEM模型模拟的我国陆地NPP数据和同期气温、降水以及土地利用数据, 研究不同季节我国陆地植被NPP的变化。结果表明,在1981~2000年期间,四个季节的NPP都呈显著增加趋势,春季是NPP增加速率最快的季节,夏季是NPP增加量最大的季节。耕地在春、夏和秋季NPP增长和增长率最高,林地冬季NPP增长最多而水域冬季NPP增长率最高。夏季NPP增长最高的区域分布于我国东部的多数地区、内蒙古东部、四川盆地、贵州东部、藏南和新疆西部;夏季NPP降低最多的区域分布于在呼伦贝尔高原、鄂尔多斯高原、黄土高原、青藏高原东部和新疆西北部。 相似文献
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采用甘肃省CORS网和中国大陆构造环境监测网络中共48个台站的GPS观测数据,解算得到观测台站的垂直位移,并与GRACE时变重力场Mascon模型解CSR RL05M数据计算得到的垂直形变进行比较,分析区域地表垂直形变特征。结果表明,研究区内台站垂直形变存在局部特征,甘肃庆阳和平凉地区垂直形变与其他地区存在明显差异,相关系数、均方根减少量和周年信号减少量均高于其他地区;扣除趋势项后,观测台站GPS垂直位移与GRACE垂直形变时间序列相关系数均值为0.72,GPS和GRACE周年信号振幅均值分别为6.00 mm和3.70 mm,周年信号减少量和均方根误差减少量均值分别为0.51和0.29;研究区内GPS垂直位移和GRACE垂直形变时间序列一致性较强,GRACE垂直形变能有效解释50%以上的GPS垂直位移周年信号,GPS垂直位移时间序列包含的非构造形变中平均约29%来源于环境负载变化所引起的负荷形变。 相似文献
179.
Piecewise prediction model for watershed‐scale erosion and sediment yield of individual rainfall events on the Loess Plateau,China
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Yu Guo‐Qiang Zhang Mao‐Sheng Li Zhan‐Bin Li Peng Zhang Xia Cheng Sheng‐Dong 《水文研究》2014,28(21):5322-5336
Establishing a universal watershed‐scale erosion and sediment yield prediction model represents a frontier field in erosion and soil/water conservation. The research presented here was conducted on the Chabagou watershed, which is located in the first sub‐region of the hill‐gully area of the Loess Plateau, China. A back‐propagation artificial neural model for watershed‐scale erosion and sediment yield was established, with the accuracy of the model, then compared with that of multiple linear regression. The sensitivity degree of various factors to erosion and sediment yield was quantitatively analysed using the default factor test. On the basis of the sensitive factors and the fractal information dimension, the piecewise prediction model for erosion and sediment yield of individual rainfall events was established and further verified. The results revealed the back‐propagation artificial neural network model to perform better than the multiple linear regression model in terms of predicting the erosion modulus, with the former able to effectively characterize dynamic changes in sediment yield under comprehensive factor conditions. The sensitivity of runoff erosion power and runoff depth to the erosion and sediment yield associated with individual rainfall events was found to be related to the complexity of surface topography. The characteristics of such a hydrological response are thus closely related to topography. When the fractal information dimension is greater than the topographic threshold, the accuracy of prediction using runoff erosion power is higher than that of using runoff depth. In contrast, when the fractal information dimension is smaller than the topographic threshold, the accuracy of prediction using runoff depth is higher than that of using runoff erosion power. The developed piecewise prediction model for watershed‐scale erosion and sediment yield of individual rainfall events, which introduces runoff erosion power and runoff depth using the fractal information dimension as a boundary, can be considered feasible and reliable and has a high prediction accuracy. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献
180.
Huawu Wu Jinglu Wu Kadyrbek Sakiev Jinzhao Liu Jing Li Bin He Ya Liu Beibei Shen 《水文研究》2019,33(12):1658-1669
Characterization of spatial and temporal variability of stable isotopes (δ18O and δ2H) of surface waters is essential to interpret hydrological processes and establish modern isotope–elevation gradients across mountainous terrains. Here, we present stable isotope data for river waters across Kyrgyzstan. River water isotopes exhibit substantial spatial heterogeneity among different watersheds in Kyrgyzstan. Higher river water isotope values were found mainly in the Issyk‐Kul Lake watershed, whereas waters in the Son‐Kul Lake watershed display lower values. Results show a close δ18O–δ2H relation between river water and the local meteoric water line, implying that river water experiences little evaporative enrichment. River water from the high‐elevation regions (e.g., Naryn and Son‐Kul Lake watershed) had the most negative isotope values, implying that river water is dominated by snowmelt. Higher deuterium excess (average d = 13.9‰) in river water probably represents the isotopic signature of combined contributions from direct precipitation and glacier melt in stream discharge across Kyrgyzstan. A significant relationship between river water δ18O and elevation was observed with a vertical lapse rate of 0.13‰/100 m. These findings provide crucial information about hydrological processes across Kyrgyzstan and contribute to a better understanding of the paleoclimate/elevation reconstruction of this region. 相似文献