MODELING TRANSIENT pH DEPRESSIONS IN COASTAL STREAMS OF BRITISH COLUMBIA USING NEURAL NETWORKS1

ABSTRACT: Transient events in water chemistry in small coastal watersheds, particularly pH depressions, are largely driven by inputs of precipitation. While the response of each watershed depends upon both the nature of the precipitation event and the season of the year, how the response changes over time can provide insight into landscape changes. Neural network models for an urban watershed and a rural‐suburban watershed were developed in an attempt to detect changes in system response resulting from changes in the landscape. Separate models for describing pH depressions for wet season and dry season conditions were developed for a seven year period at each watershed. The neural network models allowed separation of the effects of precipitation variations and changes in watershed response. The ability to detect trends in pH depression magnitudes was improved by analyzing neural network residuals rather than the raw data. Examination of sensitivity plots of the models indicated how the neural networks were affected by different inputs. There were large differences in effects between seasons in the rural‐suburban watershed whereas effects in the urban watershed were consistent between seasons. During the study period, the urban watershed showed no change in pH depression response, while the rural‐suburban watershed showed a significant increase in the magnitude of pH depressions, likely the result of increased urbanization.     

An experimental comparison of conservative versus optimal collision avoidance warning system thresholds

In the distributed signal detection theoretic (DSDT) model, the human operator and the warning mechanism are independent decision makers who work together as a team. The DSDT demonstrates that the optimal warning threshold, in general, differs from the signal detection theoretic (SDT) threshold, which assumes a single decision maker. This prediction was tested in an experiment where drivers received monetary rewards for making safe passing decisions on a driving simulator. The experiment focused on evaluating the quality of the decision making of the drivers, and not on perceptual issues. A collision avoidance system provided a warning when the probability of an inadequate overtaking gap exceeded a threshold. Three thresholds were tested. The control threshold resulted in no detections or false alarms. The DSDT threshold resulted in some misses but no false alarms. The SDT threshold resulted in no misses but frequent false alarms. As predicted, (1) drivers performed the best when the warning system used the DSDT threshold, and (2) use of the SDT threshold improved performance over the control threshold, even though four of the 10 drivers occasionally ignored the warning and made risky passing attempts in the SDT conditions, possibly because of earlier false alarms. These findings support the conclusion that the DSDT model is a useful, quantitative tool that should be used by warning designers.     

垃圾填埋场人工衬层渗漏的电学法检测研究

基于电学法无二次污染、操作易掌握和费用低等特点,提出了4种用于垃圾填埋场人工衬层渗漏检测的电学方法:电阻法、电流法、感应电势差法和远距离参比电极感应法。其原理都是利用垃圾和土壤有一定的水分而具有的导电性,以及一般用作人工衬层(俗称土工膜)的高密度聚乙烯绝缘材料。通过实验指出电阻法只能检测到是否有漏洞,不能判断漏洞的位置;电流法是一种一次性方法,只能判断一次是否有漏洞,也不能够定位漏洞;感应电势差法有很好的发展前景;远距离参比电极感应法的检测效果非常好。      

煤矿井下故障电信号快速检测电路的动态研究

对利用动态整定实现故障电信号快速检测电路的动态特性进行了分析和模拟实验。用数字贮存示波器（ＤＳＯ）记录了各参量的动态变化过程,结果表明,快速检测电路在动态下能对故障电信号进行快速检测,采样时间短     

环境化学物对雄（男）性生殖损伤的评价指标及检测技术

随着工业的迅速发展,迄今为止,已有大约10万种化学物进入人们的日常生活.人们在生产和生活中接触的许多种环境化学物都会影响人类的生殖功能,使人类的生育能力特别是精子的质量和数量发生显著改变.环境化学物所造成的生殖损伤日益受到人们的重视,检测方法和检测技术日益成熟和完善.但大多数环境化学物对生殖的损害目前尚未得到全面地研究和认识,某些毒物的生殖毒性也需要重新认识与评价,生殖毒理学的研究任务迫切而艰巨.动物实验是生殖毒性评价中最主要的方法.在总结近年来国内外相关研究基础上综述了环境化学物动物实验中雄(男)性生殖损伤评价指标及检测技术,以期对环境化学物生殖毒性评价提供借鉴和参考.     

UBF反应池爆炸后混凝土结构安全检测及加固处理研究

检测和评估了UBF反应池爆炸后结构的现状,包括了外观情况检测、混凝土强度测试以及池壁混凝土内部缺陷检测。在保证结构安全的前提下,提出经济合理的加固处理方案。     

Implications of Land Use/Land Cover Change in the Buffer Zone of a National Park in the Tropical Andes

The impacts of land use and land cover (LULC) change in buffer zones surrounding protected ecological reserves have important implications for the management and conservation of these protected areas. This study examines the spatial and temporal patterns of LULC change along the boundary of Rio Abiseo National Park in the Northern Peruvian Andes. Landscape change within four ecological zones was evaluated based on trends expected to occur between 1987 and 2001. Landsat TM and ETM imagery were used to produce LULC classification maps for both years using a hybrid supervised/unsupervised approach. LULC changes were measured using landscape metrics and from-to change maps created by post-classification change detection. Contrary to expectations, tropical upper wet montane forest increased despite being threatened by human-induced fires and cattle grazing of the highland grasslands inside the park. Within the park’s buffer zone, tropical moist forest remnants were fragmented into more numerous and smaller patches between 1987 and 2001; this was in part due to conversion into agricultural land. The methods used in this study provide an effective way to monitor LULC change detection and support the management of protected areas and their surrounding environments.     

基于PSO-SVM算法的环境监测数据异常检测和缺失补全

针对环境监测数据异常和数据缺失问题,提出了基于支持向量机的粒子群优化数据异常检测和缺失补全算法。利用粒子群优化算法选取较优的支持向量机训练参数组合,以此建立非线性的支持向量机模型,并利用结果模型对测得的真实数据拟合预测。以宁夏回族自治区某污水处理厂的污染物测量数据作为实验数据,结果表明,利用该算法预测数据的准确率可达97.977%,检测异常数据准确度高,缺失数据补全正确。     

分流进样-GC-NCI-MS测定土壤样品中高溴代联苯醚

采用分流进样模式,以GC-NCI-MS法测定土壤样品中7种高溴代联苯醚,对比了分流、不分流2种进样模式下的灵敏度、峰形、回收率、检出限。结果表明,在分流进样模式下,高溴代联苯醚在进样口的热分解率大大降低,色谱峰形尖锐无拖尾,测定结果线性范围宽,7种高溴代联苯醚的基质加标回收率为83.25%~94.71%,RSD为2.91%~7.37%,检出限为0.26~2.71 ng/g,与不分流进样模式相比,该方法灵敏度、检出限更高,适用于环境样品中高溴代联苯醚的检测分析。     

环境中有机紫外吸收剂前处理及仪器分析方法研究进展

有机紫外吸收剂(OUVs)是广泛应用于个人护理品及工业产品的一种光稳定剂,也是一种新型"准"持久性有机污染物。由于环境样品基质复杂,且OUVs种类多、含量低,快速高效的样品前处理及准确灵敏的检测方法是提高OUVs监测精准度的基础。综述了自2005年以来环境样品中OUVs的常规前处理方法及分析方法。首先,在介绍水体、沉积物、生物样品前处理方法应用的基础上,分析了富集填料、洗脱剂、净化方法等实验条件对回收率的影响,目前在水体、沉积物、生物样品中,OUVs的回收率分别为14%~133.7%、30%~183%、46%~128%。其次,总结了质谱技术在OUVs分析中的应用,表明OUVs检测方法已经由传统的气相色谱-单四极杆联用逐渐过渡到液相色谱-串联质谱联用,并且着重阐述了离子源对OUVs信号强度影响的重要性。最后,结合OUVs监测现状,展望了环境样品中OUVs监测分析方法的发展趋势。