孟连,丽江地震前云南天文台时纬残差异常

本文分析了云南天文台光电等高仪自有观测以来的时纬残差异常与云南及其周邻地区大地震的对应关系；并报导了孟连、丽江地震前云南天文台的时纬残差均有明显异常。这再次证明时纬残差的明显异常可为台站周围的强震预测提供可靠信息     

自然灾害变动的集成预测模型及其应用

本文提出了以非线性回归拟合发展趋势、正弦函数逼近周期变动和马尔可夫链刻划随机扰动的集成预测模型，并应用于山东省农业自然灾害成灾面积的变动规律模拟，得到了较好的预测效果。理论和实践表明，集成预测模型优于传统的单模型预测，为预测具有复杂机制的自然灾害演变提供了一种新方法。     

亭子口库区水质汞的污染特征及建库后水体中汞的预测

亭子口水利枢纽位于喜陵江平流苍溪县城以上，１５ｋｍ处。本文根据嘉陵江广元段水质监测资料，分析库区地面水体中汞的现状污染特征，并运用沉积物的负指数方程预测库区建坝后水体中汞的浓度。     

地震序列的h值快速震型判别与强余震预测

用数值拟合的方法对１９６６年以来７６个ＭＬ≥５．５地震序列的衰减特性进行了较详细的研究，提出从ｈ值的逐日时间扫描和逐日累积时间扫描两个方面去把握地震序列的衰减过程并将其用于强余震（含双震）的预测和震型的快速判定。     

单一震源地震发生的等效物理模型

建立了模拟单一潜在震源区地震孕育和发生的等效物理模型，给出了通过调整各次地震之间断层位移速率来拟合已有地震序列的方法。通过考虑模型参数的不确定性，提出了在未来一定年限内潜在震源区发生震级在不同震级段的概率预报方法。通过两种等效物理模型的对比，本文认为就工程地震危险性评定而言，可用简单的滑块－弹簧模型代替滑块－弹粘塑性模型     

环境中铬污染的生态效应及其防治

从生态效应的角度介绍了重金属铬在环境中的迁移、转化规律，重点论及了铬污染对人体健康厦水生生物等其他生物的影响、对水体自净作用的影响，指出Cr^6＋的生态效应远比Cr^3＋大的多。目前治理含铬工业废水和受铬污染土壤几种有效方法，旨在引起人们对环境中铬污染的生态效应产生足够的重视和防范。     

我国东亚飞蝗发生的气候背景及长期预测

我国东亚飞蝗的发生发展与大气环流的变化密切相关。对1952—1999年我国东亚飞蝗的发生面积与大气环流的74项特征指标值进行了相关研究。结果表明，上一年9月到当年4月大西洋副高面积、强度、脊线位置、北界，上一年9月、10月西藏高原指数，当年1月、2月、5月亚洲区极涡面积。北半球1月极涡面积，亚洲3月纬向环流指数以及亚洲5月经向环流指数与我国蝗虫发生面积相关明显。其中大西洋副热带高压对我国东亚飞蝗发生的影响主要是通过影响秋冬季节蝗卵的孵化和越冬期间的地面温度，从而影响蝗卵基数和孵化为成虫的数量，进而影响着我国东亚飞蝗发生、发展和危害情况的变化。通过上述对蝗虫发生有明显影响的大气环流特征值进行回归分析，结果表明。上年9月和当年4月大西洋副高脊线、3月大西洋副高北界、上年9月西藏高原指数、5月亚洲区极涡面积和3月亚洲纬向环流指数与发生面积拟合较好，说明这些大气环流特征值的强弱是决定东亚飞蝗发生的关键因素。     

Discriminate Analysis for Dust Storm Prediction in the Gobi and Steppe Regions in Mongolia

A discriminate analysis method for probability forecast of dust storms in Mongolia has been developed. The prediction method uses data recorded at 23 meteorological stations in the Gobi and steppe regions of Mongolia, including surface air pressure and geo-potential height at the 500-hPa level on grid points, and weather maps from 1975 to 1990. Weather elements such as air temperature, pressure, geo-potential height etc, which influence the formation of dust storms, are prepared as predictors. To select the most informative/important predictors (variables), we used a mean correlation matrix of variables together with the Mahalonobis distance, and correlation coefficients between dust storms and predictors with an orthogonalization for removing correlated predictors. The most informative predictors for dust storm prediction are intensities of surface cyclones and migratory anticyclones, passage of cold fronts, the horizontal gradients of the surface air pressure in the cold frontal zone, cyclonic circulations from the ground surface up to the 500-hPa level, the geo-potential height at 500-hPa level and its temporal changes. Selected predictors are used in discriminate analysis for formulating dust storm prediction equations. Sandstorm data have been classified into three classes, viz., strong, moderate and weak dust storms, depending on their intensities, durations and areas covered. Predictions of the probabilities of dust storm occurrence use the prediction equations for each class. The prediction is made from 12 hours to 36 hours. Verification of the probability forecasts of dust storms is also shown. The accuracy of forecasts is 72.2–79.9% with the data used for developing equations (dependent variables), in contrast to 67.1–72.0% with unrelated data for deriving equations (independent variables).     

Pesticide Impact Rating Index – A Pesticide Risk Indicator for Water Quality

Pesticide users, natural resource managers, regulators, government agencies and many others are concerned about the off-site impact of pesticides on the environment. Systematic methods of the assessment of potential risk of pesticides to environmental components can serve as valuable tools in decision making and policy formulation. Simple risk indicators have been developed which cover a range of scenarios such as toxicity to organisms, health of farm workers, consumer health, and residues in harvested produce. The authors have developed a software package named Pesticide Impact Rating Index (PIRI) that outputs an improved pesticide risk indicator for water quality. PIRI is a standalone, user-friendly, platform-independent program. It can be used to (i) rank pesticides in terms of their relative pollution potential to groundwater or surface water, and (ii) to compare different land uses in a catchment or at a regional scale in terms of their relative impact on water quality. It is based on pesticides use; the pathway through which the pesticides are released to the water resources (drift, runoff, erosion, leaching) and the value of the water resources threatened. Each component is quantified using pesticide characteristics (including toxicity to organisms at different trophic levels, i.e. fish, daphnia, algae, etc.), environmental and site conditions (e.g. organic carbon content of soil, water input, slope of land, soil loss, recharge rate, depth of water table, etc.). This paper describes two case studies of the application of PIRI in Australia. The comparison of the risk assessment by PIRI on these revealed that PIRI correctly estimated the pollution potential of pesticides in greater than 80% of cases. A GIS version of PIRI is described in a companion paper in this volume. An erratum to this article is available at .     

垃圾焚烧飞灰中重金属的固化/稳定化处理实验研究

研究了城市生活垃圾焚烧-电灰的特性及飞灰中重金属的特性,对利用水泥作粘结剂进行飞灰固化/稳定化处理效果开展了系统的实验研究,分析了水泥固化/稳定化飞灰的工艺特点和最佳工艺参数,并讨论了粘结剂固化飞灰机理以及重金属浸出毒性,为进一步研究城市生活垃圾焚烧飞灰的无害化处理与利用提供了有重要价值的参考依据.