Public participation in monitoring programmes as a tool for lakeshore monitoring: the example of Lake Pyhäjärvi, Karelia, Eastern Finland

Lake Pyhäjärvi, on the border between Finland and Russia in Karelia, is a very valuable clear-water lake of the Lobelia type. It belongs to the European Union's Natura 2000 programme in Finland, and has been included in regional and national monitoring programmes since the 1960s. The main monitoring station is situated near the outlet of the lake. Deterioration of its water quality was suspected already in the 1980s because of decreasing Secchi depths (transparency) and increasing chlorophyll a.The occurrence of algal blooms on the lakeshores is monitored weekly during each summer at one site on Lake Pyhäjärvi (site 1). This is a part of nationwide intensive algae monitoring programme organised by the environmental authorities together with voluntary observers at some 270 lake sites in Finland since 1998. Since 1997, Secchi depth observations have been carried out by volunteers biweekly or monthly at 17 sites on the lake. In the vicinity of one of these transparency observation sites (station 100), intensive monitoring of algae has been carried out. At this lakeshore monitoring site 69 algal observations were made, ten of which recorded algal blooms during the study period 1998–2002. The observed algal blooms were caused by algae of the Anabaena species, mainly by Anabaena lemmermannii. At Lake Pyhäjärvi the number of algal bloom observations received from the public have decreased from the 1990s to the 2000s. The range of Secchi disc transparency was 5.0–8.4 m with a mean value of 6.2 m at station 100 and 4.3–7.7 m (mean 6.1 m) at the main monitoring station 2 during the open water periods in 1998–2002. During this study period, the maximum values at site 100 seem to have increased slightly, which might indicate some improvement in the water quality due to decreased point source loading.We conclude that the intensive algal monitoring results of 5 years at the lakeshore site and the transparency results — both compiled by trained volunteers — reflect an improvement in the state of Lake Pyhäjärvi in Karelia. This conclusion is in accordance with the long-term water quality and short-core studies of sedimentary diatoms in Lake Pyhäjärvi. We suggest that the intensive algal observations and transparency measurements are both suitable methods for the monitoring of lakeshores and lakes, and that both are suitable for voluntary monitoring. We found public participation a good tool for monitoring lakes and lakeshores.     

大地形变监测预报在中国西部防震减灾事业中的基础作用

本文以巩固和发挥大地形变地震监测预报基础地位和作用、积极推进中国西部防震减灾事业可持续性和协调性发展为主旨,回顾了西部地区20世纪70年代初至“九五”前期大地形变监测与地震预测研究工作基础,介绍了“九五”后期至今大地形变监测与地震预测研究的主要进展,并对该领域发展中所面临的一些问题进行了初步探讨。     

Continuous Multi‐probe Measurements in Fastflowing Waters Using a Hydrographic Slot

Taking continuous spatiotemporal in situ measurements with multi‐probes in fast‐flowing waters/rivers can be problematic because the sensors may be damaged by high shear forces and flotsam. To protect the multi‐probe and to enable easy access for the maintenance and calibration of the sensors, a special multi‐probe holder fixed in a hydrographic slot was developed. The validation of the probe system revealed a “memory effect” at short time scales (< 10 s) within sharp gradients caused by the overflow container of the multi‐probe rack keeping the sensors submerged in the sample water. Continuously recorded data (conductivity, temperature, pH, oxygen concentration and saturation, as well as in vivo fluorescence of chlorophyll‐a) from a research cruise on board the RV ALBIS along the river Elbe (river km 309) and entering the river Saale are presented. This river stretch upstream of the city of Magdeburg to the mouth of the Saale tributary was found to have a complex physicochemical character, which is attributable to the long mixing process of water from the river Saale and the river Elbe.     

A statistical procedure for the analysis of seismotectonically induced hydrochemical signals: A case study from the Eastern Carpathians, Romania

Changes in the stress field of an aquifer system induced by seismotectonic activity may change the mixing ratio of groundwaters with different compositions in a well, leading to hydrochemical signals which in principle could be related to discrete earthquake events. Due to the complexity of the interactions and the multitude of involved factors the identification of such relationships is a difficult task. In this study we present an empiric statistical approach suitable to analyse if there is an interdependency between changes in the chemical composition of monitoring wells and the regional seismotectonic activity of a considered area. To allow a rigorous comparison with hydrochemistry the regional earthquake time series was aggregated into an univariate time series. This was realized by expressing each earthquake in form of a parameter “e”, taking into consideration both energetic (magnitude of a seismic event) and spatial parameters (position of epi/hypocentrum relative to the monitoring site). The earthquake and the hydrochemical time-series were synchronised aggregating the e-parameters into “earthquake activity” functions E, which takes into account the time of sampling relative to the earthquakes which occurred in the considered area. For the definition of the aggregation functions a variety of different “e” parameters were considered. The set of earthquake functions E was grouped by means of factor analysis to select a limited number of significant and representative earthquake functions E to be used further on in the relation analysis with the multivariate hydrochemical data set. From the hydrochemical data a restricted number of hydrochemical factors were extracted. Factor scores allow to represent and analyse the variation of the hydrochemical factors as a function of time. Finally, regression analysis was used to detect those hydrochemical factors which significantly correlate with the aggregated earthquake functions.This methodological approach was tested with a hydrochemical data set collected from a deep well monitored for two years in the seismically active Vrancea region, Romania. Three of the hydrochemical factors were found to correlate significantly with the considered earthquake activities. A screening with different time combinations revealed that correlations are strongest when the cumulative seismicity over several weeks was considered. The case study also showed that the character of the interdependency depends sometimes on the geometrical distribution of the earthquake foci. By using aggregated earthquake information it was possible to detect interrelationships which couldn't have been identified by analysing only relations between single geochemical signals and single earthquake events. Further on, the approach allows to determine the influence of different seismotectonic patterns on the hydrochemical composition of the sampled well. The method is suitable to be used as a decision instrument in assessing if a monitoring site is suitable or not to be included in a monitoring net within a complex earthquake prediction strategy.     

Experimental evidences and numerical modelling of debris flow initiated by channel runoff

Debris flow initiation by channel bed mobilization is a common process in high mountainous areas. Initiation is more likely to occur at the outlet of small, steeply sloping basins where concentrated overland flow feeds an ephemeral channel incised in slope deposits. Such geological conditions are typical of the Dolomite region (Italian Alps), which is characterized by widespread debris flow activity triggered by severe summer thunderstorms. Real-time data and field observations for one of these catchments (Acquabona catchment, Belluno, Italian Alps) were used to characterize the hydrological response of the initiation area to rainfalls of varying intensity and duration. The observed behaviour was then reproduced by means of a simple hydrological model, based on the kinematic wave assumption, to simulate the generation of channel runoff. The model is capable of predicting the observed hydrological response for a wide range of rainfall impulses, thus providing a physical basis for the understanding of the debris flow triggering threshold.     

广州市大学城湾咀头湿地公园“引鸟入城”方案浅析

广州市大学城湾咀头湿地公园"引鸟入城"项目是引鸟设计的一次探索与实践。项目通过鸟类栖息环境的改造、鸟类人工饲养与自然招引、鸟类监测与保护等方法的研究与实践,成功达到了引鸟效果,同时提出了规划和管理等方面的一些建议,希望对鸟类招引项目提供参考。     

FLAC3D在边坡数值分析及位移监测中应用

以辽宁省岫岩县某山头边坡为例,通过槽探、钻探、大型剪切试验等多种手段,找出合理潜在滑动面。利用FLAC3D软件对该边坡进行三维数值模拟,分析应力应变关系,得出变形较大及应力集中区域,同时利用强度折减法得出边坡的安全系数,评价其稳定性。将从边坡后缘张拉裂隙上布设的位移监测点采集到的数据,与数值模拟结果进行对比分析,验证数值模拟的可靠性,为边坡抗滑设计提供依据。     

地震前兆数据监视与管理系统

在北京十三陵地震台建设了一个高度集成的地震观测监控系统, 将原来分散的观测项目(如测震、 GPS、 气氡、 气汞、 电磁波、 地电场等测项), 改造为集中到一台服务器管理, 在一个监控平台上统一实现了对台站数据的收集、 入库、 管理、 处理、 监控等业务; 对这些观测项目可以在控制台上直接取数并将数据入库; 初步实现了观测数据的收集、 数据处理、 数据管理、 数据监控的软件管理系统, 减少了系统维护工作量, 方便台站工作人员操控。 监控系统的地震前兆数据监管软件系统DataMonitor可准实时监视数据, 检查数据的异常和到达情况, 并向台站数据管理人员告警; 可对数据库数据进行统计, 包括数据到达情况统计、 缺数统计、 数据连续率统计等, 并可按用户定制的测项分类进行统计。 该系统还提供多种前兆数据处理方法, 实现对前兆数据的各种常规分析处理。 地震前兆数据监视与管理系统已在北京十三陵地震台应用, 满足了数据管理人员日常工作需要, 可及时方便地掌握数据的情况并对观测系统进行维护。     

京津冀地区氡的数字化观测及其地震前兆监测效能评估

京津冀地区已建成氡的数字化(气氡)观测井(泉)共12口, 目前正在运行8口, 其中有1口井观测的数值低于仪器检出限, 故实际有效观测井(泉)为7口。 文中系统分析2004年7口井(泉)气氡年、 月、 日动态特征, 根据以往的水氡震例评估其地震中期、 短期与短临前兆异常的可能性, 认为多数井中有可能识别出以破坏年变规律为标志的中期前兆异常, 但很难识别出以阶变或脉冲为特征的短期和短临前兆异常。 文中还对比分析了同一口井(泉)气氡与水氡动态的差异性, 发现气氡的动态稳定性明显不如水氡, 这不利于气氡在地震短期或短临前兆异常监测中发挥作用。     

京津冀地区井水温度的数字化观测及其地震前兆监测效能的评估

较为系统的分析了北京、 天津、 河北地区井水温度观测现状及年、 月、 日不同层次上的动态特征, 及其在相关的地震前兆监测中发挥效能的可能性做了宏观的评估。 评估结果表明, 74.7%井的水温观测正常运行, 58.6%的井在地震中期或中短期的前兆监测发挥效能, 67.8%的井在地震短期前兆监测发挥效能, 41.2%的井在地震短临前兆监测中有可能发挥一定效能。 文中还提出了进一步发挥井水温度观测监测效能的若干建议。