分光光度分析校准曲线斜率的质量控制

经云南省历年的国家环境标样考核验证，用实验斜率统计值，摩尔吸光系数、灵敏度指标和方法给定的斜率值进行分光光度分析的质量控制，只要校准曲线斜率的质量检查合格，均能保证考核结果合格。     

青岛市“三废”排放的环境库兹涅茨特征分析

环境库兹涅茨曲线(Environmental Kuznets Curve,简称EKC)常用来描述经济增长与环境质量之间的关系,典型的EKC一般呈倒U形。通过对1986—2003年青岛市环境经济数据的经济计量模型研究,发现青岛市“三废”排放的EKC不完全符合典型的EKC特征,并对这一结果进行了初步分析。     

桉树人工林地土壤肥力灰色关联分析

根据桉树人工林地土壤营养元素含量及土壤酶活性变化,利用灰色关联分析方法评价了桉树人工林地的土壤肥力,列出了以土壤营养元素含量及土壤酶为指标的土壤肥力水平排列顺序.文章认为,以土壤酶活性作为桉树林地土壤肥力的评价指标时,还需对它们的适宜范围作进一步探讨.     

城市环境空气质量的多指标可拓综合评价法

将多指标可拓综合评价方法应用于城市环境空气质量评价。分析城市环境质量的影响因素,建立了环境空气质量评价的物元模型。将多污染物空气质量要素的目标评价归结为单目标决策,比较简明确切地反映出城市某区域环境空气质量的综合水平状况。     

大鹏湾海水理化因子与夜光藻增值的灰关联分析

通过夜光藻种群增殖态势与理化因子的比较，以空间理论数学为基础，按规范性、偶对称性、整体性和接近性四条原则，确定参考数列（母数列：夜光藻）和若干比较数列（子数列：海水理化因子）之间的关联度，研究了大鹏湾夜光藻种群增殖与海水理化因子间的关系．结果表明：浮游动物、溶解氧和叶绿素ａ对夜光藻种群密度的增长有比较重要的影响．     

基于网格化管理的“防灾型”高校社区管理模式构建

为确保高校社区安全管理的精准、高效、便捷,将社区网格化管理的理论和技术引入高校安全管理中,构建“防灾型”高校社区安全管理模式,结合“微安全”微信平台,链接社区全体人员。根据布拉德安全曲线,将“防灾型”高校社区安全管理模式定位在杜邦安全管理第三阶段;采用问卷调查的形式对管理效果进行考察。研究结果表明:事故发生率降低61.42%,事件处理效率提高74.05%,居民满意度达80.2%;“防灾型”网格社区安全管理模式能够对高校安全信息进行系统化管理,实现管理层与执行层的扁平化、联动管理;安全事故伤害率越来越低。     

USING CURVE NUMBERS TO DETERMINE BASELINE VALUES OF GREEN-AMPT EFFECTIVE HYDRAULIC CONDUCTIVITIES1

ABSTRACT: Since the trend in infiltration modeling is currently toward process-based approaches such as the Green-Ampt equation, more emphasis is being placed on methods of determining appropriate parameters for this approach. The SCS curve number method is an accepted and commonly used empirical approach for estimating surface runoff, and is based on numerous data from a variety of sources. The time and expense of calibrating process-based infiltration parameters to measured data are often prohibitive. This study uses curve number predictions of runoff to develop equations to estimate the “baseline” hydraulic conductivities (K_b) for use in the Green-Ampt equation. Curve number predictions of runoff were made for 43 soils. K_b values in the Water Erosion Prediction Project (WEPP) model were then calibrated so that the annual runoff predicted by WEPP was equal to the curve number predictions. These calibrated values were used to derive an equation that estimated K_b based on the percent sand, percent clay, and cation exchange capacity of the soil. Estimated values of K_b from this equation compared favorably with measured values and values calibrated to measured natural runoff plot data. WEPP predictions of runoff using both optimized and estimated values of K_b were compared to curve number predictions of runoff and the measured values. The WEPP predictions using the optimized values of K_b were the best in terms of both average error and model efficiency. WEPP predictions using estimated values of K_b were shown to be superior to predictions obtained from the curve number method. The runoff predictions all tended to be biased high for small events and low for larger events when compared to the measured data. Confidence intervals for runoff predictions on both an annual and event basis were also developed for the WEPP model.     

USING LANDSAT DATA TO CLASSIFY LAND USE FOR ASSESSING THE BASINWIDE RUNOFF INDEX1

Remote sensing data in the form of Landsat computer compatible tapes (CCT) was used to determine land use and land cover as an aid in hydrologic studies that were used to estimated a basinwide runoff index. With the use of the General Electric Image 100 multispectral image processing system in conjunction with the Earth Resources Laboratory Application Software (ELAS), CCT's on February 9, 1976, were analyzed by spectral differences to determine unique land use conditions within the Econlockhatchee (Econ) River Basin, Florida. The result showed that the Landsat data can be successfully used to monitor the USGS land use Level 1. An advantage of using the Landsat data for land use classification is that new data are periodically available for updating the land use information. The Soil Conservation Service curve number was used to establish a basinwide runoff index which includes a prime variable of land use changes with the time. The basinwide runoff index in 1972 (with USGS 1972 Land Use maps) was similar to the one in 1976 (with Landsat data dated February 9, 1976). This implies that the runoff from the entire Econ Basin was not noticeably changed during the period of 1972 and 1976.