A Dutch multi-date land use database: Identification of real and methodological changes

Land cover and land use are important information sources for environmental issues. One of the most important changes at the Earth's surface concerns land cover and land use. Knowledge about the location and type of these changes is essential for environmental modeling and management. Remote sensing data in combination with additional spatial data are recognized as an important source of information to detect these land cover and land use changes.     

Observations of particle movement in a monitoring well using the colloidal borescope

The colloidal borescope consists of a set of lenses and miniature video cameras capable of observing natural particles in monitoring wells. Based on field observations of these particles, it appears possible to measure in situ groundwater velocity in a well bore. Field observations have shown that directional measurements using the colloidal borescope are generally in good agreement with expected flow directions. However, the magnitude of flow velocity is higher compared with values based on conventional test methods. High relative flow velocities, even after correction factors have been applied to compensate for well bore effects, are believed to be due to preferential flow zones in the surrounding aquifer. Low flow zones exhibit swirling multidirectional flow that does not allow for a linear velocity measurement. Consequently, groundwater flow velocities measured by the colloidal borescope in heterogeneous aquifers will be biased toward the maximum velocity values present in the aquifer. A series of laboratory experiments was conducted to assess the reliability of the instrument. Based on this work, a seepage velocity correction factor ( ) of 1–4 was found for quantifying groundwater seepage velocity in the adjacent aquifer from observations in a well bore. Laboratory measurements also indicate that preferential flow in the surrounding aquifer dominates flow in the well. Results of this work suggest the possibility of quantifying higher-flow velocities associated with preferential flow zones in the subsurface.     

五强溪水电站左岸船闸边坡开挖监控设计的理论与实践

五强溪水电站船闸左岸边坡，是由前震旦系的Ｐｔ１（主要为千枚状板岩）和Ｐｔ２（主要为砂岩、板岩）组成。因断层穿插，岩体破碎，边坡稳定性很差。为确保边坡在开挖施工期的安全，作者根据工程地质力学和系统科学相结合的方法，对之进行监控设计，取得了成功。     

地震重点监视防御区县级行政单元地震危险性的差异统计及其分类管理的建议

本文利用GIS技术,将全国地震重点监视防御区(重防区)县级行政单元边界分别与中华人民共和国地震动峰值加速度图和中国及邻区地震区带和潜在震源区划分图叠加,对各县分别计算了如下4个地震危险性指标:(1)县境内最高地震动峰值加速度等级;(2)县境内面积比例最大的地震动峰值加速度等级;(3)县境内最高潜在震源区震级上限等级;(4)县境内面积比例最大的潜在震源区震级上限等级.通过分类统计全国重防区县级行政单元的地震危险性分布,得到的结论是:虽然同为重防区但各地的地震危险性相差巨大.据此,建议根据地震危险性的不同在重防区采取如下措施:第一,不论是何种类型的重防区,均应按中国地震动参数区划图对新建工程做抗震设防,对已有建筑做抗震加固;第二,位于高地震危险性的区域,特别是位于具7级以上潜在地震危险的重防区,要加强与防灾有关的应急准备、城市规划、地震监测预报、地震应急响应等专门措施.     

顺义4.0级地震前兆异常特征与京区前兆监测网监测能力探讨

通过对北京地区现有定点地震前兆监测网进行清理,分析了现有定点专业前兆监测台站、观测点、群测点的数量及分布密度的现状。对１９９６年１２月１６日北京顺义ＭＳ４．０地震的短临异常特征进行了探讨,表明顺义ＭＳ４．０地震前在震中周围出现一个直径约３５ｋｍ的短临异常密集区域。从异常形态看,该区域中的异常大部分可能带有来自震源的信息。结合顺义地震短临异常点位分布特征,对北京地区前兆台网的密度问题进行了探讨。     

位移时空综合分析法及其在深基坑中的应用

对于岩土工程设计和施工来说,如何对监测所获的位移信息进行分析十分重要。以往主要采用位移-时间的分析方法。但为了使信息在修改设计和指导施工方面起更大作用,本文提出位移空间比较分析法,并主张与常用的位移-时间分析方法结合使用,以形成所谓位移时空综合分析法。在济南彩云大厦深基坑等的成功应用,表明该法是可行的。     

极地环境监测网的设计及其在南极普里兹湾的应用

为了保护南极和北极的生态系统和环境,中国自20世纪90年代初开始推行和实施了极地环境监测计划,部署了各学科监测传感器阵列;采集了多学科数据,包括海洋、大气、冰冻圈、生物圈等主题;架构了"R/V雪龙号破冰船—极地考察站—国内基地"之间的快速数据传输网络;建立了海洋环境监测系统、太阳能地面空间监测系统、生态环境监测系统等系列监测系统。为了实现长期监测,达到预测和预警目标,本文针对国内外现状,在现有基础上设计了一套中国极地环境长期监测网(Polar Environment monitoring network of China,CPEMN)。该监测网集成各监测系统并在监测指标设计上覆盖我国极地所有常规监测/观测任务,且根据国际科研动态和长期监测规划拓展了预期监测范围。最后本文利用南极普里兹湾进行的破冰导航应用示范验证了CPEMN具有可执行性。     

诱发因素影响下的滑坡参数优化预测模型研究

本文结合三峡库区地质灾害监测预警建设历程、地质灾害监测分析现状及面临的问题,从地质灾害监测分析概念和内涵、发展趋势等方面进行了探讨,获得了以下认识：(1)探讨了地质灾害监测分析的内涵,提出了地质灾害监测分析的定义,即围绕着监测目的、监测内容和监测方法,对地质灾害监测数据及相关成果资料开展综合性分析的工作,针对预警预报、防控决策、施工安全、工程效果等不同监测目的,总结了地质灾害监测分析的主要内容;(2)面对多源、异构、实时、海量的地质灾害监测及相关数据,发展地质灾害智能化监测分析系统,实现地质灾害监测数据、分析技术方法、应用服务以及监测分析工作流程化等方面有效集成,是破解监测分析困境和问题的关键。     

420芦山地震峡口滑坡监测数据分析

基于420芦山地震前后获取的峡口滑坡监测数据,对地震发生时峡口滑坡地下水位、深部位移及地表位移变化情况进行了分析,结果表明：（1）芦山地震前,峡口滑坡地下水位出现持续异常上升,涨幅在1m以上, 4月20日即芦山地震发生当日,地下水位达到峰值,震后,地下水位开始迅速下降,降幅在1.5m左右; （2）芦山地震发生当天,受芦山地震的影响,滑坡深部发生了一次大于1mm的位移,其后恢复基本稳定的状态。利用R/S分析方法对峡口滑坡稳定性进行分析,受芦山地震影响, 4月份峡口滑坡的Hurst指数明显有所下降,说明滑坡的稳定性有所降低。但总体上滑坡的Hurst指数均大于0.5,说明滑坡一直处于稳定状态。     

Update and spatial extension of strategic forest inventories using time series remote sensing and modeling

Up-to-date forest inventory information relating the characteristics of managed and natural forests is fundamental to sustainable forest management and required to inform conservation of biodiversity and assess climate change impacts and mitigation opportunities. Strategic forest inventories are difficult to compile over large areas and are often quickly outdated or spatially incomplete as a function of their long production cycle. As a consequence, automated approaches supported by remotely sensed data are increasingly sought to provide exhaustive spatial coverage for a set of core attributes in a timely fashion. The objective of this study was to demonstrate the integration of current remotely-sensed data products and pre-existing jurisdictional inventory data to map four forest attributes of interest (stand age, dominant species, site index, and stem density) for a 55 Mha study region in British Columbia, Canada. First, via image segmentation, spectrally homogenous objects were derived from Landsat surface-reflectance pixel composites. Second, a suite of Landsat-based predictors (e.g., spectral indices, disturbance history, and forest structure) and ancillary variables (e.g., geographic, topographic, and climatic) were derived for these units and used to develop predictive models of target attributes. For the often difficult classification of dominant species, two modelling approaches were compared: (a) a global Random Forests model calibrated with training samples collected over the entire study area, and (b) an ensemble of local models, each calibrated with spatially constrained local samples. Accuracy assessment based upon independent validation samples revealed that the ensemble of local models was more accurate and efficient for species classification, achieving an overall accuracy of 72% for the species which dominate 80% of the forested areas in the province. Results indicated that site index had the highest agreement between predicted and reference (R² = 0.74, %RMSE = 23.1%), followed by stand age (R² = 0.62, %RMSE = 35.6%), and stem density (R² = 0.33, %RMSE = 65.2%). Inventory attributes mapped at the image-derived unit level captured much finer details than traditional polygon-based inventory, yet can be readily reassembled into these larger units for strategic forest planning purposes. Based upon this work, we conclude that in a multi-source forest monitoring program, spatially localized and detailed characterizations enabled by time series of Landsat observations in conjunction with ancillary data can be used to support strategic inventory activities over large areas.