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崩滑地质灾害监测网(站)建网工作程序及技术要求 被引量:2
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作者 徐开祥 黄学斌 +2 位作者 程温呜 李辉武 陶文华 《中国地质灾害与防治学报》 CSCD 2000年第4期83-86,90,共5页
本文提出了对崩滑地质灾害监测网 (站 )建网方案进行优选设计的主要工作程序和技术要求。其中包括地质分折、监测对象的选择、监测项目和监测内容的选择、监测方法的选择、监测仪器的选择、监测网点的布设、监测预报系统等方面的主要内容。
关键词 工作程序和技术要求 建网方案 监测网() 崩滑地质灾害
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Delineation of Groundwater and Soil Contamination Using EM Survey at an Industrial Abandoned Site
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作者 S.H. Zhang X. Wang 《Journal of Environmental Science and Engineering》 2011年第5期545-549,共5页
It is important to evaluate and monitor the environmental impacts by the activity in our hand with appropriate methods, and the geophysical techniques have often been used in the subsurface environmental monitoring an... It is important to evaluate and monitor the environmental impacts by the activity in our hand with appropriate methods, and the geophysical techniques have often been used in the subsurface environmental monitoring and remediation processes. In the study an electromagnetic survey (EM) is performed to delineate deeply the extent of contamination at an industrial abandoned site, to detect the spread of groundwater and soil contamination, to locate possible pathways of leachate plumes. Based on the analysis of the geophysical anomaly of electrical conductivity, the survey area is delineated into three zones: original zone, transitional zone and contaminated zone. It was inferred that the high conductivity zones correspond to the contaminated zones of groundwater and soil. The survey demonstrates that EM method has the ability to measure small changes in subsurface properties involving ground water and is sensitive to the conductive layers. The measurement shows the behavior of groundwater and soil contamination and the position of groundwater pipelines, and it is beneficial to help waste management processes and to determine possible locations of monitoring wells so as to monitor the environment in the survey area in the future. 展开更多
关键词 Electromagnetic survey POLLUTION ground water monitoring.
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In-situ measurement of atmospheric CFC-11 at the Shangdianzi Global Atmosphere Watch(GAW) Regional Station 被引量:1
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作者 ZHANG Fang ZHOU LingXi +6 位作者 YAO Bo ZHANG XiaoChun XU Lin ZHANG XiaoLing ZHOU HuaiGang DONG Fan ZHOU LiYan 《Science China Earth Sciences》 SCIE EI CAS 2011年第2期298-304,共7页
An in-situ GC-ECD system was used to measure halocarbons at Shangdianzi (SDZ) GAW regional station. In this paper, we reported observational results of atmospheric CFC- 11 (CCI3F) mixing ratios from April 2007 to ... An in-situ GC-ECD system was used to measure halocarbons at Shangdianzi (SDZ) GAW regional station. In this paper, we reported observational results of atmospheric CFC- 11 (CCI3F) mixing ratios from April 2007 to March 2008. The CFC- 11 time series showed large variability. Approximately 62% observed values were filtered as non-background data. The median, 10% and 90% percentiles of CFC-11 background mixing ratios were 245.4 ppt (10-12 mol/mol), 244.6 ppt and 246.1 ppt, respectively; whereas those of non-background CFC- 11 mixing ratios were 254.7, 246.6 and 272.1 ppt, respectively. Significant differences in background and non-background CFC-11 mixing ratios were observed between summer and autumn, mainly because of the CFC-11 stored in loam being prone to atmospheric release in hot seasons. Comparison of tile SDZ data with the five AGAGE stations suggested agreement with mid-high latitude Northern Hemisphere stations MHD, THD and RPB. The SDZ data were higher than that of Southern Hemisphere stations CGO and SMO. Higher CFC-11 mixing ratios measured in different seasons were always associated with winds from the W-WSW-SW sector, indicating that the airflow coming from this wind sector has a positive contribution to CFC- 11 concentrations. The CFC-11 mixing ratios were higher in autumn and summer than in spring and winter, in which its mixing ratios were very close to the atmospheric background level. This was happened especially when airflow originated from the NNE-NE-ENE-E sector, indicating the air masses coming from these wind directions was relatively clean. 展开更多
关键词 SDZ background CFC-11 seasonal variation winds
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