红外分光光度法测定水中动植物油的不确定度评定

文章对红外分光光度法测定水中动植物油的不确定度来源进行了分析,构造出合理的数学模型,确定了各输入量之间的关系,量化各分量后,合成得到满意的结果。从而提出,根据被测量及其所依赖的输入量之间的关系构造数学模型,并综合运用不同的评定方法对各个分量进行量化,可实现对某些检测项目的不确定度评定。     

SWMM模型在城市不透水区地表径流模拟中的参数识别与验证

为了研究城市不透水下垫面的降雨径流过程和污染负荷,以屋面为例,选择径流管理模型SWMM,采用独立场次实测数据,应用基于不确定性分析的HSY算法和Monte Carlo采样方法对模型中的水文水力和水质参数进行识别和验证.结果表明,地表不透水区径流模型中主要包含6个关键参数,分别为不透水区初损填洼深度(S-imperv)、不透水区曼宁系数(N-imperv),指数累积方程中的最大可能累积值(max buildup)、累积常数(rate constant),指数冲刷方程中的冲刷系数(coefficient)和冲刷指数 (exponent).水文水力参数的识别可以最小二乘法偏差作为目标函数,水质参数的识别可以场次污染负荷和污染物峰值浓度作为目标函数.参数识别结果为N-imperv0.012～0.025, S-imperv 0～0.7, max buildup 15～30, rate constant0.2～0.8, coefficient0.01～ 0.05, exponent1.0～1.2.参数的区域灵敏度由大到小排序为 coefficient、S-imperv、N-imperv、max buildup、exponent、rate constant.识别后的参数可以通过模型验证,但是在模拟一些雨型特殊的降雨径流污染物浓度曲线时,仍然存在一定的困难.     

碱性过硫酸钾氧化-钼酸铵分光光度法测定水中的总磷及其不确定度的评定

经过消解前加入氢氧化钠和改用聚四氟乙烯消化管等方面的改进,碱性过硫酸钾氧化-钼酸铵分光度法的实际操作更简便,更适用于各类水样的监测。它具有较低的捡出限（O．004mg／L）,较高的精密度（RSD=1．1％）和较好的准确度（测定标样溶液相对误差1．6％,加标回收率为97．2％-102．1％）。测定IERM测量审核样的结果也较好（取得了合格证书）。不确定度的评定依照相关标准的原则进行,并使用残差来量化曲线不碹定度分量,减少了工作量。经评定,改进方法的扩展不确定度为3．2％。     

重铬酸钾法测定水中化学需氧量的不确定度评定

力求全面分析重铬酸钾法测定水中化学需氧量测量不确定度的来源,并以实例演示了化学需氧量测量不确定度的评定全过程。     

亚甲基蓝分光光度法测定空气中硫化氢不确定度评定

通过对亚甲基蓝分光光度法测定环境空气中硫化氢方法中不确定度来源进行了分析,对各个分量进行详细量化,计算处该分析方法的合成不确定度,给出结果的扩展不确定度。     

赋权共原点灰色聚类方法在水库富营养化评价中的应用

以灰色理论为基础,提出了赋权共原点灰色聚类方法,并将该方法应用于10个大型水库的富营养化程度评价中,结果表明该方法具有监测数据利用率高、评价结果可靠、实用性强等特点,是一种评价水库富营养化程度的有效方法。     

采用火焰原子吸收分光光度法测定水样中镍含量的不确定度评定

采用火焰原子吸收分光光度法对水样中镍的含量进行测定,分析测量过程中不确定度来源及各不确定度分量对总不确定度的影响,确定测定结果的置信区间。给出本实验室测定水样中镍含量的扩展不确定度为0．062mg／L（k=2）。     

Alcohol-impaired motorcyclists versus car drivers: A comparison of crash involvement and legal consequence from adjudication data

Introduction: Driving under the influence (DUI) increases the probability of motor-vehicle collisions, especially for motorcycles with less protections. This study aimed to identify commonalities and differences between criminally DUI offenses (i.e., with a blood alcohol concentration (BAC) of 80 mg/dL or higher) committed by motorcyclists and car drivers. Methods: A total of 10,457 motorcycle DUIs and 8,402 car DUIs were compared using a series of logistic regression models, using data extracted from the documents of adjudication decisions by the courts of Jiangsu, China. Results: The results revealed that offenders from the high-BAC group (i.e., 200 mg/dL or higher) accounted for more than 20% of the total DUI offenses, and were more likely to be involved in a crash and punished with a longer detention. Motorcyclists had a higher likelihood of crash involvement, and were also more likely to be responsible for single-vehicle crashes associated with higher odds of injury sustained, compared to alcohol-impaired car drivers. In the verdict, motorcycle offenders were more likely to receive a less severe penalty. Conclusions: Interventions are clearly required to focus on reducing in the high-BAC group of offenders. For alcohol-impaired motorcyclists, their risks of crash and injury against BAC climb more steeply than the risks for car drivers. The factors including frequent occurrences, uncertainty of detection, and short-term sentences may weaken the deterrence effect of the criminalization of motorcycle DUI. Practical Applications: The traffic-related adjudication data support traffic safety analysis. Strategies such as combating motorcycle violations (e.g., unlicensed operators or driving unsafe vehicles), undertaking education and awareness campaigns, are expected for DUI prevention.     

Maximizing Returns from Payments for Water‐Based Ecosystem Services: Incorporating Externality Effects of Land Management

Given the expansion of payments for water‐based ecosystem services (PWES) worldwide, two relevant issues are as follows: (1) determination of efficient allocations of payments among land managers, and (2) how this might change when paying one manager to implement a best management practice (BMP) to enhance an ecosystem service impacts the cost‐effectiveness of BMPs considered by other land managers not currently involved in PWES. Such externalities may be negative if diminishing returns dominate, or positive if mechanisms such as “social diffusion” dominate. We analyze how a planner should optimally allocate payments, depending on whether the expected externalities are negligible, negative, or positive. We employ (1) an optimal control model to gain insights on the problem’s dynamics, and (2) stochastic dynamic programming to determine optimal funding strategies using a specific application. The study contributes to the literature by identifying dynamically optimal PWES payment patterns, and illustrates how they should change when one accounts for externalities induced by the program. Because such impacts have not been addressed previously in a rigorous way, this treatment provides useful value added for PWES design and implementation.     

Quantified risk assessment on life and property loss from road collision vehicle fires with hydrogen-fueled tank

Hydrogen fuel cell vehicles pose hazards different from conventional vehicles. This paper performs a risk assessment on road collision vehicle fires with hydrogen-fueled tank of 70 MPa. The high voltage battery fire caused by road collision can lead to onboard hydrogen release or explosion. Events progressions are analyzed and typical hydrogen consequences are evaluated quantitatively, including hydrogen jet fires and tank catastrophic rupture. Perimeters around the accident scene are proposed for the safety of general public and first responders, respectively. Risks of fatalities, injuries, and damages are all quantified in financial terms to make it possible to combine and compare.