土壤中7种重金属和砷测定的精密度控制指标研究

通过对浙江省近700组实际土壤样品进行分析,研究了土壤中铜、铅、锌、铬、镍、镉、砷、汞7种重金属和砷测定的精密度控制指标(实验室内相对偏差和实验室间相对偏差),并与行业标准分析方法和文献进行了比较,旨在为环境监测质量控制与质量保证工作提供参考。经统计分析,建议实验室内相对偏差控制指标如下:铜,≤15%;铅,≤15%;锌,≤15%;铬,≤15%;镍,≤15%;镉,≤20%;砷,≤15%;汞,≤50%。建议实验室间相对偏差控制指标如下:铜,≤25%;铅,≤25%;锌,≤20%;铬,≤20%;镍,≤25%;镉,≤35%;砷,≤25%;汞,≤55%。     

排污权交易之排放跟踪数据校核研究

本文以排污权交易的核心业务排放跟踪管理为出发点,选择电厂二氧化硫指标进行排放跟踪数据过程校核体系研究,探索进一步提高排污权交易体系中排放数据准确性的机制。     

基于G1-VPRS-MIE多层次灰色理论的引水明渠运行风险评价

引水明渠的安全运行风险评价对减少和预防其在输水运行过程中的灾害发生、提高其在运营期间的社会经济效益具有重要的意义。为了对引水明渠在运行期间的风险进行合理赋权和评价,通过科学合理的方法构建了多指标参数的明渠运行风险影响因素指标体系,包括主体结构风险、自然风险、水污染风险、组织管理风险和运行调度风险5个风险因子子系统及20个二级指标在内的评价指标体系;运用G1和VPRS法分别确定各指标的主观权重和客观权重,结合MIE理论优化指标权重;根据明渠工程的运行特点,选取多层次灰色理论计算引水明渠运行风险值,并根据相关规范和安全风险评价实践确定风险评价等级。将该模型应用于引大入秦工程中,结果表明:采用序关系分析法(G1法)和变精度粗糙集理论(VPRS)并结合最小信息熵原理(MIE)的权重确定方法(G1-VPRS-MIE),不但避免了层次分析法过度依赖专家的主观经验、克服了粗糙集理论在边界刻画的局限性,而且弥补了主观和客观方法相结合的不足;对于指标权重的确定更加客观合理,既能满足所得权重的客观性,也能保证评估结果具有一定的解释性,同时能够减少单一权重计算的偏差;多层次灰色评价模型对于引水明渠安全运行风险等级的确定较为有效,并得出其风险等级为中等偏高,与实际情况一致。研究成果为引水明渠工程安全运行提供了一定的参考,同时可为类似气候环境的引水明渠区域规划、设计、施工提供有效的借鉴。     

A Two-Stage Particle Swarm Optimization Algorithm for MPPT of Partially Shaded PV Arrays

The power-voltage (P-V) characteristic curves of a PV array are nonlinear and have multiple peaks under partially shaded conditions (PSCs). This paper proposes a novel maximum power point tracking (MPPT) method for a PV system with reduced steady-state oscillation based on a two-stage particle swarm optimization (PSO) algorithm. The grouping method of the shuffled frog leaping algorithm (SFLA) is incorporated in the basic PSO algorithm (PSO-SFLA), ensuring fast and accurate searching of the global extremum. An adaptive speed factor is also introduced into the improved PSO to further enhance its convergence speed. Test results show that the proposed method converges in less than half the time taken by the conventional PSO method, and the power is improved by 33% under the worst PSCs, which confirms the superiority of the proposed method over the standard PSO algorithm in terms of tracking speed and steady-state oscillations under different PSCs.     

Toward accurate and precise estimates of lion density

Reliable estimates of animal density are fundamental to understanding ecological processes and population dynamics. Furthermore, their accuracy is vital to conservation because wildlife authorities rely on estimates to make decisions. However, it is notoriously difficult to accurately estimate density for wide‐ranging carnivores that occur at low densities. In recent years, significant progress has been made in density estimation of Asian carnivores, but the methods have not been widely adapted to African carnivores, such as lions (Panthera leo). Although abundance indices for lions may produce poor inferences, they continue to be used to estimate density and inform management and policy. We used sighting data from a 3‐month survey and adapted a Bayesian spatially explicit capture‐recapture (SECR) model to estimate spatial lion density in the Maasai Mara National Reserve and surrounding conservancies in Kenya. Our unstructured spatial capture‐recapture sampling design incorporated search effort to explicitly estimate detection probability and density on a fine spatial scale, making our approach robust in the context of varying detection probabilities. Overall posterior mean lion density was estimated to be 17.08 (posterior SD 1.310) lions >1 year old/100 km², and the sex ratio was estimated at 2.2 females to 1 male. Our modeling framework and narrow posterior SD demonstrate that SECR methods can produce statistically rigorous and precise estimates of population parameters, and we argue that they should be favored over less reliable abundance indices. Furthermore, our approach is flexible enough to incorporate different data types, which enables robust population estimates over relatively short survey periods in a variety of systems. Trend analyses are essential to guide conservation decisions but are frequently based on surveys of differing reliability. We therefore call for a unified framework to assess lion numbers in key populations to improve management and policy decisions.     

提高快速法测定C OD准确度及精密度的方法

介绍了用快速法测定COD分析中提高准确度及精密度的方法。     

地球自转及天体作用力对精密离心机的影响

目的研究地球自转产生的科里奥利力及天体作用力对高精度精密离心机的影响规律。方法考虑精密离心机实际存在的各种失准角,采用齐次变换方法推导由地球自转在加速度计输入轴上产生的科里奥利加速度数学表达式;建立天体作用力对精密离心机上加速度计影响的数学关系式。结果科氏加速度对精密离心机的影响量级为10-5m/s2;月球和太阳作用力的最大影响量级之和为10-6m/s2。结论对于10-6量级精度的精密离心机,必须补偿科氏加速度的影响;月球和太阳作用力的影响可以忽略不计。     

土壤中苯并[a]芘测定的精密度控制指标研究

通过全国多家实验室的大量监测数据,研究分析了土壤中苯并[a]芘测定的精密度控制指标,并与EPA8270D进行了比较,旨在为环境监测工作提供质量控制依据和质量控制指标。研究表明,标准样品的室内相对标准偏差的质量控制范围≤28%,室内相对偏差的质量控制范围≤34%。     

Application of a novel open-source program for measuring the effects of toxicants on the swimming behavior of large groups of unmarked fish

The aim of this study was to demonstrate a novel method for measuring the effects of toxicants on the behavior of groups of unmarked fish. Ctrax is an open source Python-based machine vision program that was originally designed to track fruit flies (Drosophila). The effects of the fish anaesthetic quinaldine sulfate on the behavior of groups of 10 unmarked Arabian killifish (Aphanias dispar) in a small arena were measured. Ctrax was able to identify and track the X-Y coordinates of the individual fish over 1 min recording periods. The data was analyzed using specifically written Matlab (The Mathworks™) toolboxes and the effects of quinaldine sulfate on absolute swimming velocity, forward swimming velocity, rate of change in orientation and distance to wall were calculated. Additionally the effects of quinaldine sulfate on path tortuosity were also measured. Ctrax has significant benefits over other available technologies for tracking the 2-dimensional coordinates of fish. In particular the software is open source and thus freely available, it is accurate, requires only simple easily available equipment and able to track potentially large groups of fish (possibly >50) while maintaining their individual identities.