A performance indicator for ranked set sampling using ranking error probability matrix

Ranked set sampling (RSS) is a sampling procedure that has been shown to provide more efficient procedures than simple random sampling, in particular the Mann-Whitney-Wilcoxon (MWW) statistic and the empirical distribution function (EDF). We briefly review the work of Bohn (1992) and Stokes and Sager (1988) on the effect of imperfect ranking on the RSS-based MWW test and on the RSS-based EDF, respectively. We propose a model for a ranking error probability matrix which we hope will become a useful tool for evaluating RSS-based statistical procedures     

Rice and wheat straw ashes: Characterization and modeling of pretilachlor sorption kinetics and adsorption isotherm

The rice straw ash (RSA) and wheat straw ash (WSA) were explored as low cost adsorbent for pretilachlor removal from water. The ashes were characterized and sorption behavior of pretilachlor was evaluated. Kinetics study suggested that the modified Elovich model best explained the pretilachlor sorption on both the ashes. The adsorption data were analyzed using 2-, 3- and 4-parameter models and nine error functions were used to compute the best fit isotherm by nonlinear regression analysis. The pretilachlor was more sorbed onto the RSA (22.0–92.2%) than the WSA (11.4–61.4%) and percent adsorption decreased with increase in the herbicide concentration in solution. Isotherm model optimization analysis suggested that the Freundlich and the Temkin isotherms were the best models to predict the pretilachlor adsorption onto the RSA and the WSA. The error analysis suggested that the reciprocal of the observed squared (ROS) and the reciprocal of the predicted squared (RPS) error functions provided the best determination of the adsorption constants for the Freundlich and the Temkin isotherms, respectively. The RSA, which exhibited higher pretilachlor sorption potential, can be utilized as low cost adsorbent for pesticide removal from contaminated water.     

地表水监测误差分析与对策

分析和探讨了地表水环境监测过程中存在的误差。在13家监测站同步采样、同步分析的基础上,筛选出地表水监测实验室间比对结果偏差较大的石油类、挥发酚、氨氮、五日生化需氧量、化学需氧量、高锰酸盐指数和总磷等7个监测指标。从方法误差、仪器误差、试剂误差、操作误差、环境误差、过失误差和质控选择不当造成的误差等各方面探讨误差成因。根据实样测定结果,提出合理选择并统一分析方法、增加平行测定次数、加强质控措施和修改允许相对偏差等切实可行的对策和措施,为地表水监测和水环境管理提供技术依据。     

防灭火泡沫流体在采空区高位倾斜裂隙通道中的扩散研究

防灭火泡沫材料是1种新型的防灭火材料,对高位倾斜裂隙火灾的降温隔热、充填加固具有很好的应用性能。为了了解高位倾斜裂隙通道中泡沫流体的扩散规律,通过理论推导得出不同裂隙倾角和方位角下浆体2端面压力差随时间的变化方程式,以理论公式为基础进行修正,提出了泡沫流体的扩散规律函数式,并通过用其他实验测点进行误差对比分析。研究结果表明:误差均在允许的范围之内,证明拟合出的函数式具有普遍适用性,可以为大采空区隐蔽高温火源点的防治提供理论支持。     

低浓度SO2和NOx 自动监测系统性能评价方法

通过对7种废气自动监测系统的比较研究和现场测试,提出了非分散红外法、紫外差分法、紫外荧光法、化学发光法等多种 SO2和 NO x 自动监测技术在低浓度范围实现准确定量监测的性能评价方法,定义了 CEMS 的系统检出限及其主要影响因素。建议采用系统检出限、线性误差等关键参数作为低浓度 CEMS 的性能评价方法,提出将全系统多点标准气体校准或加标回收率作为验收和质控监督的基本方法。     

重金属镉在线监测仪器性能对比

污染源在线监测仪器的准确性、实时性、连续性与污染源在线监测系统数据可靠性紧密相关。选取7种不同品牌的镉在线监测仪器,综合评价其在线测定性能。结果表明,5种镉在线监测仪器的线性误差、相对误差、量程漂移小于10%,重现性误差、零点漂移均小于5%,能较好地应用于镉的在线监测。     

地下水污染物的有限差分模型的修正

为了更好地研究地下水污染问题,在泰勒级数分析的基础上,对一维地下水污染的模型求解过程中有限差分法的截断误差进行了修正,得到了修正后的有限差分解,并对差分格式的稳定性进行了分析。结果表明,没有修正的截断误差是不能忽略的。本文的研究为河流水质污染的防治和预测提供了一种科学依据。     

南极企鹅粪土地层、机体组织与卵中POPs含量分布及其生态环境意义

对南极阿德雷岛企鹅栖息地粪土混合地层进行210Pb定年,同时采用气相色谱－电子捕获检测器 (GC－ECD)内标定量法测定了企鹅栖息地粪土混合地层及其机体组织中的有机氯污染物分布.结果表明:粪土混合地层中表层的有机氯污染物含量最高,w(PCBs),w(HCHs)和w(DDTs)分别为0.92,0.42和0.70 ng/g. 与非栖息地的比较表明,通过有鸟类活动的粪土混合地层(营巢和粪便)输入的PCBs和OCPs比无鸟类生命途径的高. 因此,海鸟成为将有机氯污染物带到南极大陆的媒介和途径. 有机氯污染物主要分布在企鹅机体的脂质和脂肪中,其中脂肪和尾臀腺中的含量最高,脂肪中w(PCBs),w(HCB),w(HCHs) 和w(DDTs)分别为126.9～277.0,43.2～197.0, 未检出～20.7 和79.4～110.1 ng/g. 蛋卵中w(PCBs), w(DDTs),w(HCB)和w(HCHs)分别为0.4～0.9,2.4～10.3,6.0～10.2和0.1～0.4 ng/g,总积蓄水平依次为HCB>DDTs>PCBs>HCHs. 对比PCBs在企鹅体内的积累与排出(粪土和产卵)过程可知,前者占主导地位.在南极企鹅机体组织和卵中检出PCBs和OCPs表明,有机氯农药可在鸟类动物体内积累与代间转移,在相当长的时期内难以消除.      

Multi-metric evaluation of the models WARM,CropSyst, and WOFOST for rice

WARM (Water Accounting Rice Model) simulates paddy rice (Oryza sativa L.), based on temperature-driven development and radiation-driven crop growth. It also simulates: biomass partitioning, floodwater effect on temperature, spikelet sterility, floodwater and chemicals management, and soil hydrology. Biomass estimates from WARM were evaluated and compared with the ones from two generic crop models (CropSyst, WOFOST). The test-area was the Po Valley (Italy). Data collected at six sites from 1989 to 2004 from rice crops grown under flooded and non-limiting conditions were split into a calibration (to estimate some model parameters) and a validation set. For model evaluation, a fuzzy-logic based multiple-metrics indicator (MQI) was used: 0 (best) ≤ MQI ≤ 1 (worst). WARM estimates compared well with the actual data (mean MQI = 0.037 against 0.167 and 0.173 with CropSyst and WOFOST, respectively). On an average, the three models performed similarly for individual validation metrics such as modelling efficiency (EF > 0.90) and correlation coefficient (R > 0.98). WARM performed best in a weighed measure of the Akaike Information Criterion: (worst) 0<wk<1$0<w_k<1$ (best), considering estimation accuracy and number of parameters required to achieve it (mean wk=0.983$w_k=0.983$ against 0.007 and ∼0.000 with CropSyst and WOFOST, respectively). WARM results were sensitive to 30% of the model parameters (ratio being lower with both CropSyst, <10%, and WOFOST, <20%), but appeared the easiest model to use because of the lowest number of crop parameters required (10 against 15 and 34 with CropSyst and WOFOST, respectively). This study provides a concrete example of the possibilities offered using a range of assessment metrics to evaluate model estimates, predictive capabilities, and complexity.     

Geochronology of anthropogenic radionuclides in Ribeira Bay sediments, Rio de Janeiro, Brazil

Ribeira Bay is located approximately 130 km south of the city of Rio de Janeiro and receives discharges of liquid effluent from the Angra dos Reis nuclear power plant (NPP) site, where two pressurized water reactors are located. To test whether the presence of anthropogenic radionuclides in sediments in Ribeira Bay could be correlated to the NPP operations, we sampled seven sediment cores and determined accumulation rates and chronologies. Only one sediment core did not exhibit a superficial mixing layer; this sample was used for dating purposes. Cesium-137 and ²⁰⁷Bi were observed in this sediment profile, but their presence was associated with atmospheric fall-out rather than the nearby NPP. The exponential decay of ²¹⁰Pb concentration with sediment layer depth was verified below a superficial mixing layer for all other sediment cores. Calculated accumulation rates ranged from 1.2 mm y⁻¹ in the inner bay to 6.2 mm y⁻¹ close to its entrance.