WATER USE CONFLICT NEAR MADISON,NEBRASKA1

ABSTRACT: Nebraska statutes give first preference for use of ground water to domestic purposes, second to agriculture, and third to manufacturing or industrial purposes. Rapid growth in the number of irrigation wells has caused an increasing number of water use conflicts. One such conflict arose from the installation and use of an irrigation well near Madison in Madison County, Nebraska. Pumping from the irrigation well coincided with head declines in nearby domestic wells screened in the same sand and gravel, but appeared unrelated to water level changes in wells screened in a higher saturated sand. A drawdown-recovery test was performed to determine the degree of hydraulic connection between the wells involved. Operation of the irrigation well was determined to be the cause of the head decline in nearby domestic wells screened in the same sand and gravel. Partly as a result of this conflict, legislation recently introduced into the state legislature would require that wells of higher preference be “reasonably” constructed if wells of lower preference are to be held liable for head loss.     

实时荧光定量PCR技术对氨氧化细菌的研究

传统的PCR技术只能实现对核酸的定性检测而无法对其进行定量研究。随着分子生物学技术的发展,在传统PCR技术的基础上发展起来的实时荧光定量PCR技术实现了对核酸的定量研究。该技术是向常规PCR反应体系中加入荧光染料或荧光探针,通过监测PCR反应过程中荧光信号的变化来实现对核酸的定量。实时荧光定量PCR技术具有应用范围广、灵敏度高、操作简单、工作量低等特点,在医学和微生物学领域已广泛地应用于疾病诊断、病毒定量检测、微生物群落结构分析及演替规律的研究。文章综述了该项技术的原理、特点及其在环境氨氧化细菌研究中的应用,同时也指出了该技术存在的问题及其发展应用前景。     

Effects of operational factors on soluble microbial products in a carrier anaerobic baffled reactor treating dilute wastewater

The effects of feed strength,hydraulic residence time(HRT),and operational temperatures on soluble microbial product(SMP) production were investigated,to gain insights into the production mechanism.A carrier anaerobic batfled reactor (CABR) treating dilute wastewater was operated under a wide range of operational conditions,namely,feed strengths of 300-600 mg/L,HRTs of 9-18 h,and temperatures of 10-28℃.Generally, SMP production increased with increasing feed strength and decreasing temperature.At high temperature (28℃),SMP production increased with decreasing HRT. As the temperature Was decreased to 18 and 10℃.the SMP production was at its peak for 12 h HRT Therefore,temperature could be an important determinant of SMP production along with HRT. A higher SMP to soluble chemical oxygen demand (SCOD) ratio Was found at high temperature and long HRT because of complete volatile fatty acid degradation.SMP accounted for 50%-75% of the SCOD in the last chamber of the CABR.As a secondary metabolite.some SMP could be consumed at lower feed strength.     

污水处理厂电耗分析与控制

通过对焦作污水处理厂处理工艺特点的研究,分析了其电耗的组成和重点,提出了主要耗电环节的节电措施．每月节约电费12万元。     

关于显色时间对磷工作曲线影响的分析

本文利用钼锑抗分光光度法测定水中磷的监测方法,通过简要的理论、实验分析,得出采用该方法的最佳显色时间为15分钟至30分钟等经验性结论。     

含油污泥调质影响因素研究

针对某炼油污水处理厂产生的含油污泥,采用调质-机械分离方法进行处理。考察温度、pH值和搅拌时间对含油污泥调质效果的影响。结果表明,以PR—A复合药剂为调质剂,在温度为70℃-80℃,pH值为4．0—5．0,搅拌时间为30min条件下,经55kPa（绝压）抽滤后,含油污泥的处理效果最好,滤饼含水率可达到70．3％,进一步方便含油污泥的后续处理,有利于污泥的资源化利用和无害化处理。     

城市污水中的热能回收及利用研究

对沈阳市目前运行的7座污水处理厂及污水特征参数进行了论述和推算,以北部污水处理厂为例,结合沈阳城市污水源热泵系统规划,通过调查分析供暖企业的燃煤现状及供暖情况,推算出了采用污水供暖取代燃煤供暖后的环境效益和经济效益,并对沈阳建立污水源热泵系统面临的问题提出了对策和建议。     

不同性质污泥在模拟填埋场中的稳定化进程研究

为确定污泥达到稳定化所需的时间,研究了污泥及改性污泥在填埋后的稳定化进程.结果显示,经过498d的降解,生物污泥、生物污泥+矿化垃圾和化学污泥中有机质的降解率分别为67.1%、61.6%和30.5%.污泥初始有机质含量越高,总降解率越高.生物污泥较化学污泥易于降解.按照污泥中的有机质降到100mg·g-1预测,污泥填埋场达到稳定化所需时间约为3年;按照生物可降解物质（BDM）降到4.76%为污泥达到完全稳定状态预测,污泥填埋场达到稳定化所需时间是2.9~4.7年.从上海老港污泥填埋场多年的实际运行情况来看,污泥填埋场在封场3年后即可达到稳定化,所形成的矿化污泥即可开采和利用.     

仪器法与化学法测定防毒面具滤毒罐苯蒸气防护时间研究*

为研究仪器法和化学法对滤毒罐苯防护时间结果的一致性以及对防护时间判定的影响因素,参照强制性国家标准《呼吸防护 自吸过滤式防毒面具》（GB 2890—2009）,通过选择不同的实验条件,测试4种不同滤毒罐对苯的防护时间,并对实验结果进行显著性差异检验和分析。结果表明:仪器法测定的防护时间小于化学法测定的防护时间;2种检测方法所测定的防护时间结果有显著性差异;测试浓度越高、气流流量越大、采样流量越大,2种方法测定防护时间的绝对差值越小。从防毒面具的安全性和与国外标准一致性考虑,建议采用仪器法判定防护时间。     

基于ARIMA和XGBoost组合模型的交通事故预测

近年来交通事故及其损失严重影响社会经济的发展和人民生活的提高,交通事故预测可以为交通事故预防提供数据支持。基于自回归滑动平均(ARIMA)模型和极端梯度提升(XGBoost)模型,构建时间序列组合预测模型,对交通事故相关指标进行趋势预测。根据交通事故的特点,选定"事故起数""受伤人数""死亡人数"及"损失"4个指标。首先,根据自相关、偏自相关图确定ARIMA模型参数,根据AIC(赤池信息准则)值确定最终模型;然后,对4个指标的ARIMA模型预测结果的残差构建残差序列,对其进行XGBoost建模,得出修正后的残差预测值;最后,根据残差预测值和ARIMA模型预测值得出组合模型最终的预测值。实例结果表明,4项指标的混合预测模型的预测精度均优于单一的ARIMA模型和Holt-winters模型,其中以"受伤人数"和"死亡人数"的模型改善效果最为显著,"受伤人数"指标的平均绝对百分比误差降低了5.431 7个百分点,"死亡人数"指标的平均绝对百分比误差降低了3.625 9个百分点。