小城镇基准地价更新方法研究

基准地价评估及更新是目前土地管理的一项重要和经常性的工作。针对小城镇的土地利用特点，对小城镇土地定级估价更新中的地价样本祷点、土地级别调整、基准地价更新评估等方面进行了研究，选择级别界线修订法更新小城镇土地级别，并在此基础上探索出适合小城镇特点的基准地价更新方法。     

Particle fluxes above forests: observations, methodological considerations and method comparisons

This paper reports a study designed to test, evaluate and compare micro-meteorological methods for determining the particle number flux above forest canopies. Half-hour average particle number fluxes above a representative broad-leaved forest in Denmark derived using eddy covariance range from -7x10(7) m(-2) s(-1) (1st percentile) to 5x10(7) m(-2) s(-1) (99th percentile), and have a median value of -1.6x10(6) m(-2) s(-1). The statistical uncertainties associated with the particle number flux estimates are larger than those for momentum fluxes and imply that in this data set approximately half of the particle number fluxes are not statistically different to zero. Particle number fluxes from relaxed eddy accumulation (REA) and eddy covariance are highly correlated and of almost identical magnitude. Flux estimates from the co-spectral and dissipation methods are also correlated with those from eddy covariance but exhibit higher absolute magnitude of fluxes.     

自动电位滴定法测定烟气氨法脱硫模拟浆液中氯离子的研究

氯离子含量是氨法脱硫工艺中的一个重要监控指标,用自动电位滴定法测定氨法脱硫浆液中的氯离子。结果表明,实验加入乙醇有利于增大电位突跃幅度;pH值为3~5时实验结果准确;加标回收率为90%~110%;与莫尔法相比,测定结果准确度、精密度更高,且不受灰分颜色干扰;与离子色谱法测定结果准确度、精密度相近,但测定高浓度氯离子电位滴定法更有优势。     

类固醇雌激素分析方法研究进展

类固醇雌激素因其对野生动物、人类健康及生态环境安全造成危害而受到全世界的普遍关注,并成为环境科学和生态毒理学研究的重点和热点之一.针对4种典型的类固醇雌激素(雌激素酮、17-β-雌二醇、雌三醇和17-α-乙炔基雌二醇),对其羟基和酮基衍生化技术、水和固体样品的前处理技术及仪器检测方法进行了综述,总结了类固醇雌激素分析方法的研究动态和进展.     

Development and Operational Testing of a Super‐Ensemble Artificial Intelligence Flood‐Forecast Model for a Pacific Northwest River

Coastal catchments in British Columbia, Canada, experience a complex mixture of rainfall‐ and snowmelt‐driven contributions to flood events. Few operational flood‐forecast models are available in the region. Here, we integrated a number of proven technologies in a novel way to produce a super‐ensemble forecast system for the Englishman River, a flood‐prone stream on Vancouver Island. This three‐day‐ahead modeling system utilizes up to 42 numerical weather prediction model outputs from the North American Ensemble Forecast System, combined with six artificial neural network‐based streamflow models representing various slightly different system conceptualizations, all of which were trained exclusively on historical high‐flow data. As such, the system combines relatively low model development times and costs with the generation of fully probabilistic forecasts reflecting uncertainty in the simulation of both atmospheric and terrestrial hydrologic dynamics. Results from operational testing by British Columbia's flood forecasting agency during the 2013‐2014 storm season suggest that the prediction system is operationally useful and robust.     

A dual-sensor-based method to recognize pipeline leakage and interference signals

During the detection of pipeline leakages, false alarms of leak detection could be markedly reduced if the interference signals resulting from pressure regulating, pump regulating or valve movements could be accurately distinguished. A digital recognition method for interference signals and leakage signals based on a dual-sensor system is proposed in this paper. It is demonstrated that the direction of the signal can be recognized by a cross-correlation calculation between two signals from the dual-sensor, one of which undergoes forward linear interpolation and backward linear interpolation. Based on this theory, the interference signal and the leak signal can be discriminated exactly, and the distance between the two sensors in the dual-sensor system can be considerably reduced without needing to increase the sampling frequency. The monotonicity of the cross-correlation function is demonstrated, and a fast discrimination algorithm based on a binary extreme search method, which decreases the computational load and maintains global optimization, is also proposed. A pre-processing method of the actual signal is proposed to decrease the identity requirement for the two sensors in a dual-sensor system. In the experiment based on artificial signals, the proposed discrimination algorithm could achieve accurate recognition of the abnormal signal, and as such, the theory and application of pipeline leak detection based on dual-sensor systems are extended.     

桂林市公共场所空气污染的检测与分析

采用甲醛检测仪、有机气体检测仪等测试分析了桂林市宾馆、商场、候车室、家具城、文化娱乐场等公共场所的甲醛和TVOC浓度。结果显示:候车室和文化娱乐场所的甲醛、TVOC合格率均为100%;宾馆、商场、家具城的TVOC合格率分别为98.7%、98.9%、95.0%,甲醛合格率分别为78.8%、91.1%、85.0%;皮革制品、家具板材等为主要的甲醛和TVOC污染源。     

木兰县饮用水源地水质状况分析研究

2012年木兰县监测站对木兰县饮用水源地水质状况进行了监测,监测了六项常规的监测项目,其中包括:pH、总硬度、铁、锰、浑浊度、总大肠菌群.通过这些监测数据可知,木兰县饮用水源地中pH、总硬度、浑浊度均能达到中国《生活饮用水卫生标准》和国家《地下水质量标准》(GB 14848-93)规定,总大肠菌群四个季度均未检出,但铁的含量在第三季度出现超标情况,锰的含量在第一、二、三季度出现超标,本文分析了超标的成因及处理的方法,并提出建议.