合格评定资料介绍

本文介绍关于合格评定的资料。这些资料包括合格评定的组织机构、法律法规及技术法规,以供对实验室认可和质量认证感兴趣的机构参考。     

D) UNITED Nations

Synopsis

In areas of accentuated relief, some of the basic assumptions made in the use of standard methods of assessing areal mean rainfall are often untenable. It is shown in this paper, that, not only does topography affect the actual rainfall distribution, but that the areal variability, measured as the correlation between any two points, is also dependent on the relief. Two methods are used to show this. Once method compares the areal variability of a flat area to one of accentuated relief, while the second method relates areal variability to topographic factors using a multiple regression technique.

The conclusions reached are then used for three purposed. The first is to develop a method of ascribing objectively areas or points to a particular raingauge, taking into account the nature of the terrain. The second is to establish a procedure for estimating the rainfall at ungauged points, by taking into account the rainfall at a selected nearby rainguage and the topographic situation of the points, and the third purpose is to provide means of establishing a correction factor to be applied to a raingauge reading in order that the reading may more accurately represent the area ascribed to it.     

浅析山西长治数字测震台网维护工作

文章概述了山西长治数字测震台网的系统构成,并对台网的维护工作从维修次数、故障类型等方面进行分析,认为,要保证观测质量必须做好五方面的维护工作。     

桑沟湾农药残留及贝毒对海洋环境质量影响和主要食用贝类健康风险评估

根据2009-04—2010-02隔月6个航次桑沟湾9个调查站位贝类养殖区有机氯(OCPs)、有机磷(OPPs)农药残留和麻痹性贝毒(PSP)的调查资料,分析了它们在该海域海水中、表层沉积物中和主要贝类(栉孔扇贝、太平洋牡蛎和菲律滨蛤仔)体内的含量水平,就农药残留及贝毒污染对海洋环境质量的影响进行综合评价和类别划分,并对主要食用贝类中农药残留和贝毒的暴露水平进行健康风险评估。结果表明,桑沟湾贝类养殖区海水质量、沉积物质量和养殖贝类质量水平范围为1~2级,平均分别为2级、1级和1级,养殖生态环境综合质量水平为2级;总体上,该海域海洋环境综合质量处于良好水平,贝类产区生态环境质量为1类区(清洁区)。即该海域农药残留及贝毒污染对海洋环境质量影响较小或无明显影响。另外,针对食用桑沟湾贝类水产品的消费人群进行了农药残留及贝毒污染的健康风险评估,结果表明调查人群食用贝类中OCPs中的HCHs和DDTs、OPPs中的马拉硫磷和甲基对硫磷、PSP的日摄入量分别为0.75,2.11,0.19,0.09和1.22μg/(人·d),其摄入量低于ADI的推荐限值,因此桑沟湾主要食用贝类中农药残留及贝毒污染的健康风险处于安全范围。     

ARGO剖面浮标数据质量控制过程剖析

ARGO计划的观测目标是能取得精度分别为0．5℃和0．01PSU的海水温度和盐度资料。然而，由于目前海水盐度是采用海水电导率间接导出的，而测量海水电导率的传感器很容易产生偏差。因此，必须对获得的ARGO数据进行质量控制。文章详细介绍了ARGO剖面浮标资料实时质量控制模式和延时质量控制模式及其采用的质量控制方法等。     

Sustainable shellfish aquaculture in Saldanha Bay,South Africa

The carrying capacity for bivalve shellfish culture in Saldanha Bay, South Africa, was analysed through the application of the well-tested EcoWin ecological model, in order to simulate key ecosystem variables. The model was set up using: (i) oceanographic and water-quality data collected from Saldanha Bay, and (ii) culture-practice information provided by local shellfish farmers. EcoWin successfully reproduced key ecological processes, simulating an annual mean phytoplankton biomass of 7.5 µg Chl a l^–1 and an annual harvested shellfish biomass of about 3 000 tonnes (t) y^–1, in good agreement with reported yield. The maximum annual carrying capacity of Small Bay was estimated as 20 000 t live weight (LW) of oysters Crassostrea gigas, or alternatively 5 100 t LW of mussels Mytilus galloprovincialis, and for Big Bay as 100 000 t LW of oysters. Two production scenarios were investigated for Small Bay: a production of 4 000 t LW y^–1 of mussels, and the most profitable scenario for oysters of 19 700 t LW y^–1. The main conclusions of this work are: (i) in 2015–2016, both Small Bay and Big Bay were below their maximum production capacity; (ii) the current production of shellfish potentially removes 85% of the human nitrogen inputs; (iii) a maximum-production scenario in both Big Bay and Small Bay would result in phytoplankton depletion in the farmed area; (iv) increasing the production intensity in Big Bay would probably impact the existing cultures in Small Bay; and (v) the production in Small Bay could be increased, resulting in higher income for farmers.     

近岸海水质量量化方法及分类评价

近岸海域是陆地、海洋和大气之间各种过程相互作用最活跃的界面[1],沿海100km以内区域聚积着约60%的世界人口[2],其环境质量强烈受人类活动影响.对近岸海域进行水质环境管理,应依据海水物理、化学和生物学性质对海水进行分类评价[3,4].     

基于无人机高光谱遥感技术对内陆养殖池塘水质监测的研究

为准确、快速、全面获取内陆养殖小区池塘及尾水处理池水体水质变化情况,建立养殖水环境实时预警调控及数字化管控机制,选择浙江湖州市集中连片的养殖小区为试验区,于2020年12月采用搭载GaiaSky-mini高光谱相机的无人机进行试验区近地遥感图像采集,并进行图像拼接、辐射校正和几何校正等预处理;然后对反射波段进行差值、比...     

Spatial–temporal variability in water quality and macro-invertebrate assemblages in the Upper Mara River basin,Kenya

Tropical rivers display profound temporal and spatial heterogeneity in terms of environmental conditions. This aspect needs to be considered when designing a monitoring program for water quality in rivers. Therefore, the physico-chemical composition and the nutrient loading of the Upper Mara River and its two main tributaries, the Amala and Nyangores were monitored. Initial daily, and later a weekly monitoring schedule for 4 months spanning through the wet and dry seasons was adopted. Benthic macro-invertebrates were also collected during the initial sampling to be used as indicators of water quality. The aim of the current study was to investigate the physico-chemical status and biological integrity of the Upper Mara River basin. This was achieved by examining trends in nutrient concentrations and analyzing the structure, diversity and abundance of benthic macro-invertebrates in relation to varying land use patterns. Sampling sites were selected based on catchment land use and the level of human disturbance, and using historical records of previous water quality studies. River water pH, dissolved oxygen, electrical conductivity (EC), temperature, and turbidity were determined in situ. All investigated parameters except iron and manganese had concentration values within allowable limits according to Kenyan and international standards for drinking water. The Amala tributary is more mineralized and also shows higher levels of pH and EC than water from the Nyangores tributary. The latter, however, has a higher variability in both the total phosphorus (TP) and total nitrogen (TN) concentrations. The variability in TP and TN concentrations increases downstream for both tributaries and is more pronounced for TN than for TP. Macro-invertebrate assemblages responded to the changes in land use and water quality in terms of community composition and diversity. The study recommends detailed continuous monitoring of the water quality at shorter time intervals and to identify key macro-invertebrate taxa that can be used to monitor changes of the water quality in rivers of the Mara basin as a result of anthropogenic changes.     

红壤丘陵小区域水平上不同时段土壤质量变化的评价和分析

引相相对土壤质量指数的概念，应用地理信息系统技术，为小区域水平上土壤质量时空变化的评价提供了一种方法，并用于千烟洲试验站开垦利用１１ａ后土壤质量变化的评价。统计分析服农田，桔园，牧草地，人工林，天然林等多种土地利用方式下土壤质量变化的特征。