斜坡稳定性的二级模糊推断

根据对斜坡稳定性影响的大小,选取了七个主要因于,引用了山西明水河流域几个斜坡样点实测数据．应用模糊近似推论方法及信息分配原理,对斜坡稳定性进行了单因子灰色隶属度分析及综合二级模糊近似推论,该方法克服了传统单因子评价的弊端,能比较真实地反映实际,为布设护坡工程提供了理论依据。     

A complete set of procedure for determination of multiresidue of pesticides in vegetables

A complete set of procedure for determination of multiresidue of pesticides in vegetables was presented in this paper.The complete set of procedure included three steps:bioassay,cholinesterase inhibition and GLC analysis.The samples could be identified to be contaminated with pesticides if 5% of house flies was knocked down in 50 tested house flies. Those samples contaminated with pesticides needed to be detected by AChE inhibition method.The qualitative and quantitative analyses were carried out by GLC.Recoveries ranged from 83.7% in Chinese cabbages to 105.6% in tomatoes for pyrethroids,and 84.0% in tomatoes to 102.7% in sweetbell redpeppes for organophosphorus compounds.Coefficients of variations ranged from 0.59% to organophosphorus compounds.Coefficients of variations ranged from 0.59% to 7.87% for pyrethroids. and 0.33% to 9.88% for organophosphorus compounds with vegetables. The complete set of procedure has been used successfully to analyze 7000 samples collected in Beijing. About 1% of the samp     

海洋环境污染监测方案设计研究

海洋环境污染监测方案是一项复杂的系统工程。中国经过２０多年海洋环境污好监测的实践活动，积累了丰富的经验。但是，由于未能对海洋环境污染监测方案进行深入细致的研讨，致使今天我国海洋环境污染监测尚停留在定性或半定量描述阶段。该文第一次把有关海洋环境污染监测相结合，通过运用逻辑构思方法和监测方法学，详细分析监测方案设计中的各个阶段，监测目标的提出，到方案的实施；从监测数据的加工，到监测信息的发布都进行了辩证的分析。本文既是中国海洋环境污染监测方案的设计指南，也是中国海洋环境污染监测工作的集大成。     

过氧化钙去除水中糖皮质激素的响应面分析

结合响应面方法Box-Behnken实验设计,对过氧化钙降解代表性糖皮质激素曲安奈德过程中的影响因素（过氧化钙投加量、溶液初始pH值、反应时间、糖皮质激素初始浓度）进行了探讨与分析,并对反应条件进行了优化.得出最优反应条件为：过氧化钙投加量4g/L;溶液初始pH值5.7,反应时间15.7min,初始TA浓度为0.06mmol/L.最优条件下模型预测的目标物降解率（88.6%）和实验得出的降解率（82.8%）数值接近,说明此响应面模型能够较准确预测过氧化钙对糖皮质激素的去除效果,并用电子顺磁共振仪对过氧化钙降解有机物过程中的作用自由基进行了检测.研究结果对过氧化钙技术去除有机污染物的发展有一定的参考价值.     

一种HSI空间基于模糊聚类的火灾彩色图像分割算法

针对通用模糊聚类算法进行彩色图像分割存在对初值敏感,迭代过程耗时等问题,在HSI空间结合火焰图像分布特征,采用平均值法进行初值优选,构造抑制算子和抑制因数对火焰无关区域S和I分量进行有效抑制,采用直方图聚类后进行数据融合等方式,最终实现彩色火灾图像分割。实验表明,该算法提高了彩色火灾图像分割的准确性和收敛速度。     

基于遗传集对分析的空气环境质量评价

集对分析是针对确定与不确定问题进行定量分析的一种方法,而表征差异度系数i的取值,一直没有确定的方法,即使在确定了同一度、差异度、对立度之后,整个联系数仍因i的不确定取值而呈现既确定又不确定的特征。文章将遗传算法应用于联系数表达式中i值的优化求解,使得联系数确定化,并结合实例对空气环境质量进行评价,评价结果与用其它方法评价结果比较表明该方法的可行性。     

响应面方法优化光催化降解抗生素类污染物过程研究

近年来抗生素类污染物对环境的影响及其生态毒性日益引起广大研究者的关注。对TiO2光催化降解典型抗生素类污染物磺胺二甲嘧啶（SMT）进行了研究。采用中心组合设计方法（CCD）进行试验设计,使用响应面方法（RSM）对光催化过程中的影响因素（TiO2浓度、初始磺胺二甲嘧啶浓度、双氧水浓度）进行了探讨和分析,并对反应过程进行了优化。优化结果表明,最佳反应条件为：TiO2浓度1.74 g/L、初始磺胺二甲嘧啶浓度20.0 mg/L、双氧水浓度106.28 mg/L,在优化条件下的磺胺二甲嘧啶光催化实际去除率为83.6%。响应面方法能够优化光催化条件,预测光催化结果,有利于优化光反应器的设计,对于工程化光催化水处理技术的发展具有一定的参考价值。     

基于重要度的系统可靠性分配方法

将系统的可靠性分配理论与故障树分析方法相结合,提出按故障树中各个基本事件(元件)的重要度大小进行可靠性分配的新方法.该方法可靠度的分配过程分两步:首先按可靠性再分配原理将系统的可靠度分配到各个最小割集;然后将需要调整可靠度的最小割集看成一个子系统,将最小割集的可靠度按基本事件重要度的大小分配到各个基本事件,即所谓二次分配模型.该方法不仅适用于仅有串、并联的简单系统,而且能够解决具有桥联结构的复杂系统的可靠性分配问题.     

Efficient Delineation of Nested Depression Hierarchy in Digital Elevation Models for Hydrological Analysis Using Level‐Set Method

In terrain analysis and hydrological modeling, surface depressions (or sinks) in a digital elevation model (DEM) are commonly treated as artifacts and thus filled and removed to create a depressionless DEM. Various algorithms have been developed to identify and fill depressions in DEMs during the past decades. However, few studies have attempted to delineate and quantify the nested hierarchy of actual depressions, which can provide crucial information for characterizing surface hydrologic connectivity and simulating the fill‐merge‐spill hydrological process. In this paper, we present an innovative and efficient algorithm for delineating and quantifying nested depressions in DEMs using the level‐set method based on graph theory. The proposed level‐set method emulates water level decreasing from the spill point along the depression boundary to the lowest point at the bottom of a depression. By tracing the dynamic topological changes (i.e., depression splitting/merging) within a compound depression, the level‐set method can construct topological graphs and derive geometric properties of the nested depressions. The experimental results of two fine‐resolution Light Detection and Ranging‐derived DEMs show that the raster‐based level‐set algorithm is much more efficient (~150 times faster) than the vector‐based contour tree method. The proposed level‐set algorithm has great potential for being applied to large‐scale ecohydrological analysis and watershed modeling.     

Application of response surface methodology for the optimization of biodiesel production from yellow mustard (Sinapis alba L.) seed oil

In the present study, response surface methodology (RSM) involving central composite design (CCD) was applied to optimize the reaction parameters of biodiesel production from yellow mustard (Sinapis alba L.) seed oil during the single-step transesterification process. A total of 30 experiments were designed and performed to determine under the effects of variables on the biodiesel yield such as methanol to oil molar ratio (2:1–10:1), catalyst concentration (0.2–1.0 wt.% NaOH), reaction temperature (50–70°C), and reaction time (30–90 min). The second order polynomial model was used to predict the biodiesel yield and coefficient of determination (R²) was found to be at 0.9818. The optimum biodiesel yield was calculated as 96.695% from the model with the following reaction conditions: 7.41:1 of methanol to oil molar ratio, 0.63 wt. % NaOH of catalyst concentration, 61.84°C of reaction temperature, and 62.12 min of reaction time. It is seen that the regression model results were in agreement with the experimental data. The results showed that RSM is a suitable statistical technique for optimizing the reaction parameters in the transesterification process in order to maximize the biodiesel yield.