A remote sensing tool for near real-time monitoring of harmful algal blooms and turbidity in reservoirs

Harmful algal blooms (HABs) diminish the utility of reservoirs for drinking water supply, irrigation, recreation, and ecosystem service provision. HABs decrease water quality and are a significant health concern in surface water bodies. Near real-time monitoring of HABs in reservoirs and small water bodies is essential to understand the dynamics of turbidity and HAB formation. This study uses satellite imagery to remotely sense chlorophyll-a concentrations (chl-a), phycocyanin concentrations, and turbidity in two reservoirs, the Grand Lake O′ the Cherokees and Hudson Reservoir, OK, USA, to develop a tool for near real-time monitoring of HABs. Landsat-8 and Sentinel-2 imagery from 2013 to 2017 and from 2015 to 2020 were used to train and test three different models that include multiple regression, support vector regression (SVR), and random forest regression (RFR). Performance was assessed by comparing the three models to estimate chl-a, phycocyanin, and turbidity. The results showed that RFR achieved the best performance, with R² values of 0.75, 0.82, and 0.79 for chl-a, turbidity, and phycocyanin, while multiple regression had R² values of 0.29, 0.51, and 0.46 and SVR had R² values of 0.58, 0.62, and 0.61 on the testing datasets, respectively. This paper examines the potential of the developed open-source satellite remote sensing tool for monitoring reservoirs in Oklahoma to assess spatial and temporal variations in surface water quality.     

基于Tripod-Beta模型的船舶火灾事故风险分析

为深入分析船舶火灾事故风险因素及其后果产生的影响,通过分析1991-2017年全球船舶火灾事故调查报告,从人员、管理、船舶设备、货物、环境5个方面对船舶火灾影响因素进行识别研究;采用三脚架事故致因模型(Tripod-Beta model),构建考虑安全栅的船舶火灾事故情景演化模型,识别船舶火灾关键影响因素;并在样本量较少的情况下,采用信息扩散理论计算船舶火灾发生率;最后,利用布尔函数和风险矩阵,对船舶火灾事故风险进行评价研究。结果表明:船员不安全行为和船舶设备表面过热、设备短路是船舶火灾事故的关键风险因素;事故后果链中安全栅遭到破坏时,船舶火灾风险处于不希望发生范围内。该方法能有效评估船舶火灾风险的等级,满足海事管理部门的监管工作需求。     

Assessment of deep aquifer groundwater quality in a geographically unique climatic region of Southern Western Ghats,India using water quality indices

Water quality index (WQI) models are generally used in hydrochemical studies to simplify complex data into single values to reflect the overall quality. In this study, deep groundwater quality in the Chittur and Palakkad Taluks of the Bharathapuzha river basin of Kerala, India, was assessed by employing the WQI method developed by the Canadian Council of Ministers of the Environment (CCME). The assessment of overall water quality is indispensable due to the specific characteristics of the study area, such as geography, climate, over-drafting, and prevalent agricultural practices. Forty representative samples were collected from the study area for monsoon (MON) and pre-monsoon (PRM) seasons. The results showed a general increase of contents from MON to PRM. The major cations were spread in the order Ca²⁺>Na+>Mg²⁺>K⁺ and the anions HCO₃⁻>Cl⁻>CO₃²⁻ based on their relative abundance. Among various parameters analysed, alkalinity and bicarbonate levels during MON were comparatively high, which is indicative of carbonate weathering, and 90% of the samples failed to meet the World Health Organization (WHO, 2017)/Bureau of Indian Standards (BIS, 2012) drinking water guidelines. The CCME WQI analysis revealed that nearly 50% of the samples during each season represented good and excellent categories. The samples in the poor category comprised 10% in MON and 15% in PRM. The overall WQI exhibited 15% of poor category samples as well. The spatial depiction of CCME WQI classes helped to expose zones of degraded quality in the centre to eastward parts. The spatial and temporal variations of CCME WQI classes and different physicochemical attributes indicated the influence of common factors attributing to the deep groundwater quality. The study also revealed inland salinity at Kolluparamba and Peruvamba stations, where agricultural activities were rampant with poor surface water irrigation.     

溢油鉴别数字化判定在船舶油污事故调查中的应用

本文以一起船舶油污事故的溢油源调查为例,简述了重复性限法、t检验法两种方法的判定原则及判定流程,具体介绍了两种方法在船舶油污事故溢油源鉴定中的应用。应用结果表明,重复性限法、t检验法是两种值得在船舶溢油事故鉴定中推广应用的判别方法,诊断比值的准确性是影响两种判定方法应用的一个重要因素。     

基于DEMATEL-ANP的重大件船舶大风浪航行安全指标选取

为了改善重大件船舶在大风浪条件下航行的安全性,保证船舶、船员、重大件货物安全到港,在查阅大量文献、咨询专家并结合实际经验后,构建了重大件船舶大风浪安全指标体系。首次将DEMATEL-ANP(决策试验与评价实验室-网络分析法)方法引入大风浪安全领域,建立了重大件船舶大风浪航行安全的DEMATEL-ANP结构。通过DEMATEL方法计算了指标间综合影响矩阵,并绘制因果图对各指标进行分类。借助综合影响矩阵和重大件船舶大风浪安全指标体系,通过ANP方法梳理网络结构并计算了混合权重。确定了对安全影响较大的指标,并对其进行管控。通过与AHP方法的对比,表明该方法更加合理、客观地考虑了指标间的相互影响,提出的DEMATEL-ANP结构合理、可行,能够很好地应用于大风浪安全领域,对保证船舶安全具有一定的指导意义。     

天津港运输船舶大气污染物排放清单

运输船舶产生的大气污染物对港口大气环境有重要影响,但我国对这部分内容的研究却相当薄弱.本文首先对天津港运输船舶的总体情况进行调研,根据其排放控制技术水平合理选择了排放因子;而后采用基于燃料消耗的方法,对2006年天津港运输船舶排放的NOx、HC、CO和PM_(10)进行了计算,建立了天津港运输船舶大气污染物的排放清单;最后对2010年和2020年天津港的运输船舶大气污染排放情况进行了预测.该清单的估算和预测可以为加强排放控制和制定相关法规提供重要依据.     

PMA-PP分析模型在内河水质科学评价中的应用

针对目前我国城市内河普遍遭到污染的问题,在分析影响内河水质因素的基础上,选取BOD5(五日生化需氧量)、CODcr(化学需氧量)、石油类、挥发酚、NH3-N(氨氮)、总磷等6个主要因素作为评价因子,建立了城市内河水质评价的投影寻踪分析模型,采用人口迁移算法对评价模型进行优化,并将该模型应用于南宁市10条内河水质的评价与排序。研究表明,用投影寻踪回归分析法进行水质评价,避免了传统评价方法由于主观原因造成的误差,评价结果合理可信、方法简单,为我国城市内河水质的评价提供了新途径。     

黑河流域大气降水稳定同位素变化及模拟

利用2002～2004年黑河流域6个采样点上的301个降水数据,对黑河流域大气降水中δD和δ18O的变化进行了分析.结果表明,流域降水δ18O和δD的变化范围分别为6.5‰～-33.4‰和59‰～-254‰,这主要是由于降水水汽来源不同和气象条件特别是气温和降水量的较大变化使得降水形成的凝结机制发生变化引起;降水中同位...     

基于SVR的船舶溢油事故预测

船舶溢油事故的预测,是确定所需应急资源多少的重要依据;但船舶溢油事故具有小样本性,传统预测方法不再适用。针对船舶溢油事故的小样本性,该文选择SVR模型对其进行预测;SVR算法的关键是核函数的选择及自由参数的确定,针对上述问题该文分别采用交叉验证法、遗传算法;并在matlab软件上建立SVR模型,最后将该模型应用于上海港水域船舶溢油事故的预测。     

The influence of the level of definition of functional specifications on the environmental performances of a complex system. EcoCSP approach

The tendency towards a homogenous mode of development modelled on that of Western countries means that sustainable development has become increasingly urgent. It is necessary to thoroughly redefine products and their expected performances in such a way that the consequences are compatible with sustainable development. In the domain of product design, this means that it is no longer sufficient to use assessment tools “after the fact” to check the impact of products whose functional unit (FU) was defined prior to production; it is now necessary to rethink the definition of the FU itself. This article aims to present an approach based on a combination of life cycle analysis methods and problem-solving by constraint satisfaction. This original approach makes it possible to vary the design of the different dimensions of the FUs of a complex system and thus to make it easier to identify the best architecture along with the best functional definition of the system. In this study, the EcoCSP approach is applied to define the functional performances of an ecological passenger ferry. The complexity of couplings between subsystems and the sheer number of those subsystems mean that the designer has to use “intelligent” tools. These simulate a great number of scenarios and help him/her to fine-tune the system and make the right technological choices with regard to the right functional specifications.