W_q方法及σ_H方法在华东地区中强震预报中的应用

应用两种描述地震活动平静的特征参数Wq 和σH 对华东地区 1972年以来ML≥ 2 .3地震进行时空扫描。结果表明 :Wq 在华东地区大多数M >5地震之前均出现 1年左右或稍长时间的平静异常 ,震中一般在平静异常区的边缘或内部。对Wq 空间异常区σH 的时间扫描在某些地区也能够较好地显示1年左右的平静异常。这可能说明了地震活动平静也是中强地震的一种中短期预报指标     

贝纳德效应和地震预报

本文根据海城地震前后重力变化的实测资料提出重力加速度随时间变化的一种简化表示。在重力发生扰动时对贝纳德问题的动力学方程进行求解。计算结果表明,在强地震的孕育期,贝纳德花样的周期变化在一定时间后将自动停止。这个结论的验证可以作为一种新的地震预测方法的理论基础。     

Q值的简易测定与地震前兆分析

依据尾波衰减特征，采用测量尾波包络体最大双振幅方法，分别用单次散射和多次散射模式处理了苏、皖、鲁、冀四省４２个ＤＤ－１台站，５１个地震的尾波资料，求出与散射有关的地球介质Ｑ因子，并对Ｑ值随尾波推移时间窗、震中距的变化进行归一法处理，公式如文中式（１１）、（１２），用归一法求得的多次散射模式Ｑ０２值分布图象表明，高Ｑ值与中强地震的活动背景有关，这种简易测定地球介质Ｑ值的方法在地震前兆分析中有着良好的应用前景     

19世纪是我国特大暴雨洪水发生期

本文用大量资料,论述了我国七个江河历史首位洪水均发生在19世纪。而且,洪水泛滥使得平原地区的水系迁移、湖泊淤缩极为严重。同时,存洪水年前后,伴随着一系列寒冷、干旱的气候异常现象。     

基于热异常遥感的冀南城市群工业能耗及大气污染

选取冀南城市群为研究区,基于2012~2016年VⅡRS卫星数据热异常点产品,结合工业能源消耗量、工业废气排放量以及空气质量数据,利用统计分析和空间分析探讨热异常点辐射强度的变化规律及其与工业能源消耗、污染物排放之间的关系.结果表明,热异常点的辐射强度可以表征工业能源消耗量,并间接反映工业生产规模与污染排放水平.辐射强度越大,工业生产规模越大.辐射强度与工业SO₂排放量呈较高的正相关,与NO_x排放量呈中度线性相关.PM₁₀、SO₂及NO₂浓度与工业能源消耗和热异常点辐射强度灰色关联度均较高.工业生产活动产生的污染物中,颗粒物对大气污染的贡献最高,其次为SO₂.2012~2016年,邯郸、石家庄以及廊坊的工业生产空间分布呈逐年收缩聚集的趋势,保定和沧州的工业生产分别出现向南、向西迁移趋势.     

阿特拉津对弹琴蛙(Rana adenopleura)蝌蚪微核和核异常的影响

分别在d1、d3、d7、d14,观察空白对照(CK-)、水溶助剂0.1mL/L二甲基亚砜对照(CK )、阿特拉津0.01mg/L(ρ1)、0.1mg/L(ρ2)、1mg/L(ρ3)和10mg/L(ρ4)溶液中弹琴蛙(Ranaadenopleura)蝌蚪血红细胞微核和核异常细胞数.结果表明,d14时,ρ1、ρ2、ρ3和ρ4组蝌蚪的微核率分别是CK-的2.25、2.50、4.25、5.11倍(P<0.05),说明阿特拉津可引起蝌蚪血红细胞微核率升高;且与d1、d3、d7相比较,微核率随着时间的延长有升高的趋势.d14时,ρ2、ρ3和ρ4组蝌蚪的总核异常率(含微核率)分别是CK-的2.59、2.17、1.96倍(P<0.05),说明阿特拉津也可引起蝌蚪血红细胞总核异常率升高.图2表1参17     

地磁Z分量整点值空间相关法在江苏地区地震预报中的初步应用

应用江苏地磁台站Ｚ分量整点值资料,研究了江苏地区Ｚ分量整点值的相关性及在江苏地区地震预报中的作用,给出了该法在江苏地区的异常判据指标,并应用该指标提取了１９９０～１９９７年的三个异常,其中两个异常有地震对应。     

Traffic congestion and ozone precursor emissions in Bilbao (Spain)

GOAL. SCOPE. BACKGROUND: In urban environments, the measured levels of ozone are the result of the interaction between emissions of precursors (mainly VOCs and NOx) and meteorological effects. In this work, time series of daily values of ozone, measured at three locations in Bilbao (Spain), have been built. Then, after removing meteorological effects from them, ozone and traffic data have been analyzed jointly. The goal was to identify traffic situations and link them to ozone levels in the area of Bilbao. METHODS: To remove meteorological effects from the selected ozone time series, the technique developed by Rao and Zurbenko was used. This is a widely used technique and, after its application, the fraction obtained from a given ozone time series represents an ozone forming capability attributable to emissions of precursors. This fraction is devoid of any meteorological influence and includes only the apportion of periodicities above 1.7 years. In the case of Bilbao, the ozone fractions obtained at three locations have been compared on that time scale with traffic data from the area. RESULTS AND DISCUSSION: For the 1993-1996 period, a regression analysis of the ozone and traffic fractions due to periodicities above 1.7 years (long-term fractions), shows that traffic is the main explanatory factor for ozone with R2 ranging from 0.916 to 0.996 at the three locations studied. Analysis of these longterm fractions has made it possible to identify two traffic regimes for the whole area, associated to different profiles of ozone forming capability. The first one favors low ozone forming capability, and is associated with a situation of fluent traffic. The second one shows high ozone forming capability and represents congestion. Joint analysis of raw data of ozone and traffic do not show any clear pattern due to the strong masking effects that seasonal-meteorological effects (mainly radiation) have on the measured ozone signal. If only immission data of ozone are available, as in this case, a comparison between ozone and traffic can only be made on the long-term time scale, since that is the only fraction embedded in the ozone time series that can exclusively be attributed to emissions of precursors. This fact stresses the need to study the different fractions embedded in the time series of ozone measured levels separately. CONCLUSION: Though the coefficients obtained in the regression are only valid for the 1993-1996 period, these traffic regimes represent long-term targets (congestion or fluent traffic) that can inspire policies for a joint management of the traffic and pollution by ozone in the area of Bilbao beyond that period. RECOMMENDATIONS AND OUTLOOK: The results of this work show the need of a joint management of ozone and traffic in Bilbao. Since an accurate knowledge of traffic was not available, the use of emission factors to relate traffic and actual ozone levels has not been possible. For this reason, this study has focused on the long-term fractions of traffic and ozone. In the future, if a more accurate knowledge of traffic is available, it will be possible to find relationships between traffic and ozone on all time scales.