区域环评中大气环境容量估算的研究进展

目前,在大气环境影响评价中,区域大气环境容量的研究是实施大气污染物总量控制的前提.文章综述了大气污染物区域环境容量的主要影响因素、用于其计算的空气质量模型以及大气环境容量研究的一般步骤.现阶段应用较广泛的大气环境容量的预测模型有A-P值法模型、箱模型、线性优化模型、ADMS模型及多种模型相结合的复合模式等,通过研究分析,提出了现阶段大气环境容量研究存在的主要问题及其有效的解决途径.     

多元回归分析法在突发性事故污染预测中的应用

运用多元回归性，通过预测模型的选择、基础数据系列化、回归模型的建立和回归效果的检验，建立了化学污染危害面积、纵深与诸条件的关系，达到了快速估算的目的，是突出性化学环境污染危害预测的一种方法。     

Recent developments of surface complexation models applied to environmental aquatic chemistry

1　ＢａｃｋｇｒｏｕｎｄＩｎｇｅｏｃｈｅｍｉｃａｌｃｉｒｃｕｌａｔｉｏｎ ,ｖａｒｉｏｕｓｐｏｌｌｕｔａｎｔｓｗｉｔｈａｄｖｅｒｓｅｉｍｐａｃｔｓ (ｅ .ｇ .,ｔｏｘｉｃｉｔｙ ,ｍｕｔａｇｅｎｉｃｉｔｙａｎｄｌｅｔｈａｌｉｔｙ)ａｒｅｕｓｕａｌｌｙａｓｓｏｃｉａｔｅｄｗｉｔｈｈｅｔｅｒｏｇｅｎｅｏｕｓｐａｒｔｉｃｌｅｓ,ｐｒｅｄｏｍｉｎａｎｔｌｙｃｌａｙｍｉｎｅｒａｌｓ .Ｇｅｎｅｒａｌｌｙ ,ｔｈｅｐｒｏｐｅｒｔｉｅｓｏｆｔｈｅｓｅｃｏｍｐｌｅｘｐａｒｔｉｃｌｅｓｓｈｏｕｌｄｂｅｄｅｓｃｒｉｂｅｄｕｓｉｎ…     

活性污泥数学模型中进水易降解有机物的测定

ASM系列模型 (ASMs)自推出以来在欧美得到广泛应用。要想利用ASMs对特定污水处理过程进行准确的模拟 ,首先必须得到该过程污水的水质特性参数。介绍了连续式OUR计量法、序批式OUR计量法和絮凝过滤物理化学法等 3种测定ASMs中进水易降解有机物的方法 ,通过分析比较指出了各自的优缺点及适用情况。     

西部地区经济发展与水环境质量的相关分析

认识经济发展与水环境污染的关系,以求西部地区经济与环境的协调发展。文章运用环境库兹涅茨理论和自回归分析模型,对1995～2004年我国西部地区人均GDP与废水排放量的分析,可知西部地区的人均GDP增加1%,则污水排放量增加0.582%,经济发展伴随着水环境质量的持续恶化,说明西部地区目前处于环境库兹涅茨曲线的左半部分。因此有必要加强对水环境的规制和治理,改善经济发展和水环境质量之间的这种两难关系。还表明自回归模型对于西部地区水环境质量的预测也是有效的。     

农药杀虫单的稻田流失规律研究

通过测坑、人工降雨等手段，对水溶性农药杀虫单的稻田消解动态、渗漏流失和径流流失等进行了研究。结果表明，(1)无水稻时，杀虫单在稻田水中消解的半衰期为0．76d；分蘖初期，杀虫单在稻田水中降解的半衰期为1．02d；平均为0．89d。(2)杀虫单的渗漏流失量在用药后8d内可达总用药量的7％—10％，平均为8．48％。(3)极端情况下，用药当天如果遇暴雨(50mm雨量)，杀虫单的径流流失量将达到用药量的30％左右。杀虫单的渗漏损失不可避免，故其流失控制应从径流损失着手，尽量避免在可能有暴雨的当天或雨前1—2d用药。     

铅芯橡胶支座等效线性分析模型参数的研究

针对目前铅芯橡胶支座等效线性分析模型动力参数选取不够合理的现状 ,笔者通过对铅芯橡胶支座水平动态试验分析 ,系统研究了铅芯橡胶支座等效线性分析模型参数与其几何结构及外加动力荷载特性的关系。研究结果表明 :铅芯橡胶支座等效线性分析模型参数 (水平耗能、等效刚度及等效阻尼比 )主要由其本身的几何构造及组成材料决定 ,且在往复加、卸载循环过程中具有较好的稳定性。笔者对试验数据进行数学统计分析 ,归纳出一些经验公式 ,为其等效线性化动力分析模型参数的合理选取提供了计算方法 ,从而提高其动力分析结果的安全性。     

ANALYZING CORRELATIONS BETWEEN STREAM AND WATERSHED ATTRIBUTES1

ABSTRACT: Bivariate correlation analysis has been widely used to explore relationships between stream and watershed attributes that have all been measured on the same set of watersheds or sampling locations. Researchers routinely test H₀: ρ= 0 for each correlation in a large table and then go on to discuss only those that are declared “significant.” Such test results are inaccurate because no allowance is made for multiple testing, and also because the tests are not mutually independent. This paper reviews the Bonferroni approach to controlling the overall error rate in multiple testing and shows how the approach becomes impractical for large correlation tables. The Hotelling/Williams test is introduced for comparing two dependent correlations that share a variable, and numerical constraints for two such correlations are illustrated. References are also given for testing other hypothesized patterns among dependent correlations, and links to dependent correlation software are provided. The methods are illustrated for watershed and stream variables sampled in 23 small agricultural watersheds of the Willamette Valley, Oregon.     

STREAM DISCHARGE PREDICTION VIA A GRID BASED SOIL WATER ROUTING WITH PADDY FIELDS1

ABSTRACT: A grid based daily hydrologic model for a watershed with paddy fields was developed to predict the stream discharge. ASCII formatted elevation, soil, and land use data supported by the GRASS Geographic Information System are used to generate distributed results such as surface runoff and subsurface flow, soil water content, and evapotranspiration. The model uses a single flow path algorithm and simulates a water balance at each grid element. A linear reservoir assumption was used to predict subsurface runoff components. The model was applied to a 75.6 km² watershed located in the middle of South Korea, and observed stream flow hydrographs from 1995 and 1996 were compared to model predictions. The stream flow predictions of 1995 and 1996 generally agreed with the observed flow, resulting in a Nash‐Sutcliffe efficiency R² of 0.60 and 0.62, respectively. The hydraulic conductivity for percolating water through the saturated layer affected baseflow generation. The levee height of the paddy influenced the time and magnitude of the surface runoff, depending on irrigation management. The model will be used for making low flow management decisions by evaluating the role of each land use to stream flow, especially in case of paddy decrease by gradual urbanization of a watershed.