BUILDUP,WASHOFF, AND EVENT MEAN CONCENTRATIONS1

ABSTRACT: Most watershed water quality simulation models require the user to specify pollutant buildup and washoff rate parameters for pollutants, by land use. Buildup and washoff rates are difficult to measure directly, and only limited guidance and few observed data are available from the literature. Many studies, however, report storm event mean concentrations (EMCs). These EMCs must arise as a result of the buildup and washoff processes, but typically represent the net contribution from a variety of pervious and impervious surfaces. This paper explores the relationship between EMCs and buildup/washoff parameters. An assumption of the mathematical form of the buildup/washoff relationship gives an algebraic expression for the EMC consistent with model assumptions. This yields techniques to separate observed EMCs into contributions from different land uses and from pervious and impervious surfaces. Given this relationship, numerical optimization may be used to estimate site specific values of buildup and washoff parameters from observed storm EMCs for use in modeling. Use of this approach helps ensure that model parameters are consistent with observed data, providing a rational starting point for final model calibration. Several site examples demonstrate use of the method.     

Effect of soil solids concentration in batch tests on the partition coefficients of organic pollutants in landfill liner-soil materials

 The effect of the soil solids concentration in batch tests on the measured values of the partition coefficient (K _p) of organic pollutants in landfill liner-soil material was investigated. Since this study was based on the results of batch and column tests conducted independently, there were limitations to the conclusions derived. The organic compounds tested were benzene, methylene chloride, toluene, trichloroethylene, and p-xylene. The results of this study showed that as soil solids concentrations increased, the measured K _p values of these organic compounds strongly decreased. The observed values of K _p stabilized when the soil solids concentration was above a certain value. Typical K _p values obtained from batch tests conducted under high soil solids concentrations were close to those obtained from column tests. It was concluded that the K _p values of organic compounds measured under low soil solids concentrations, i.e., less than 100 g/l, may not correctly simulate the field situation. Consequently, the values of K _p obtained with low soil solids concentrations can result in an overestimation of the retardation factor of the landfill liner material. Received: March 14, 2002 / Accepted: August 25, 2002     

用水化资料对南黄海6.1级地震的预测

根据区域水氡平均年离散度变化及应用“地下流体预报方法ＳＨＥＰ软件”，对水化资料和一些Ｒｎ，Ｃｌ－，Ｃａ２＋单项异常进行综合分析，于１９９６年１０月提出：从１９９６年１０月下旬至１９９７年下半年，在南长带海域（尤其是东经１２１°±１°，北纬３３°±１°的区域）有发生Ｍｓ６．０级左右地震的可能，要特别注意１９９６年１０月下旬至１９９７年上半年（信度ＣＦ＝０．６）。本次南黄海６．１级地震映证了这一预报意见     

对1976年陕西关中地震短期预报的反思

对1976年在陕西关中东部地区所发布的地震短期预报进行了回顾；对发布预报的前因后果进行了反思。     

新疆伽师6级强震群综述

本文对伽师成丛发生强震的机因，伽师地震的预报以及地震灾害损失与应力场状态等给出了结果。并就伽师地区防震减灾对策和重建问题提出了讨论及具体对策意见。     

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。     

80m烟囟排放放射性气溶胶连续自动监测

本文介绍采用德国进口的ＬＢ９１００Ｄ监测系统对８０ｍ烟囟排放的α放射性气溶胶浓度进行连续、自动监测。并与国产ＦＪ－３６７，ＦＨ－４６３Ａ装置进行了对比则量，两套装置的测量结果符合得较好。     

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。