基于反距离加权插值法评价海域水质类别空间分布

空间插值技术可以对污染物分布状况进行面状连续表征,是对点位法评价的有效补充。笔者根据现行海水水质评价方法,类比给出近岸海域水质类别空间分布评价的流程:单指标空间插值-单指标水质分类-多指标水质类别判定。研究了反距离加权插值参数的选取方法,并以点位密度不同的全国近岸海域(开放型)和渤海海域(近封闭型)为例进行了插值实验。 结果表明:对目前的点位分布情况而言,全国近岸海域参数设为p=3,N=4, C=200m较为适宜；渤海海域参数为p=2,N=5,C=200m较为适宜。反距离加权插值法在开放海域的拟合效果要优于近封闭海域。     

长沙市大气中PM_(2.5)浓度分布的空间插值方法比较

采用普通克里金(Kriging)、反距离加权(IDW)、趋势面、协同克里金(Co-kriging)插值和基于反距离加权的克里金插值方法对长沙市某时刻的PM_(2.5)浓度空间插值比较,结果表明:反距离加权和趋势面插值的结果与实际情况相差较远;普通克里金和协同克里金插值虽能反映出PM_(2.5)浓度分布一定的空间结构,但精度有待提高,且运行速度较慢;前4种方法效果不好的主要原因是由于长沙市PM_(2.5)浓度监测站点稀少。而基于反距离加权的克里金插值方法结合了2种模型的优点,其结果较为准确地分析长沙市PM_(2.5)浓度分布特征,误差远小于其他方法,且具有平滑性好、运行速度相对较快等优点。     

土壤重金属污染空间插值及其验证方法研究综述

综述了土壤重金属污染空间插值方法研究现状,分析了3类典型的插值方法(确定性插值方法、地统计学插值方法和组合插值方法),以及2种常用的精度验证方法(交叉验证法和独立的数据集验证法)各自的优缺点与适用范围,提出了加强组合插值模型优化与精度提升、利用计算机智能技术优化插值算法模型、开发针对土壤重金属领域的考虑空间插值软数据挖...     

近岸海域水质自动监测规范化研究

为规范近岸海域水质自动监测,基于近岸海域水质监测要求和质控要求、近岸海域水质自动监测系统特点和近岸海域水质自动监测运行的经验,开展了近岸海域水质自动监测规范化研究,编制了《近岸海域水质自动监测技术规范》(HJ 731—2014),规范了近岸海域水质自动监测系统建设、设备选择、系统验收、日常管理、维护和校准、质量保证和质量控制、数据有效性和上报、监测报告等方面的工作。有利于在标准方法基础上,使中国近岸海域水质自动监测系统的监测数据准确、可靠、可比,有利于近岸海域水质自动监测系统在日常监测中更好地发挥作用。     

浙江近岸海域环境功能区质量状况分析

根据浙江省舟山海洋生态环境监测站多年资料,对浙江省近岸海域环境功能区达标趋势及影响因素进行分析。结果表明,2009年浙江近岸海域环境功能区平水期、丰水期、枯水期达标面积分别为9541、10715、842km2,全年达标面积7333km2,占所监测海域面积的16.4%。浙江省近岸海域环境功能区水质达标的主要超标指标为无机氮和活性磷酸盐,另有部分区域溶解氧、化学需氧量、pH指标超标。整个杭州湾水体处于严重富营养化水平,象山湾和泗礁-大衢-岱山岛以西的舟山海域处于中度富营养化水平。东经122度以东的舟山海域及浙中南近岸海域处于轻度富营养或贫营养水平,2002年以来浙江近岸海域水体的富营养化程度逐步下降。2001—2004年近岸海域环境功能区达标率均低于3%,达标区主要分布在舟山海域,2005年开始达标区域扩展到温州海域,"十一五"以来浙江省近岸海域环境功能区水质达标率呈增加趋势。     

钦州湾近岸海域水质状况及富营养化分析

2012年5月钦州湾近岸海域水质监测结果表明,钦州湾近岸水温、盐度、pH、溶解氧等基本环境参数均有利于亚热带海洋生物的生长繁殖;溶解无机氮(DIN)和活性硅酸盐(SiO2-3-Si)均显示过剩,但溶解无机磷(DIP)具有低磷特征,高的氮磷比值使PO3-4-P可能成为浮游植物生长的潜在限制因子,且COD部分站位出现超标现象。污染指数(A)和单因子污染指数(Pi)结果显示,近期整个钦州湾近岸水域污染程度达到2级,属于开始受到污染,水质受到化学耗氧有机物不同程度的污染,超标率达到30%。富营养状态指数结果表明,钦州湾近岸海域总体尚未达到富营养化,但局部区域已出现富营养化状况。COD对富营养化的贡献率平均值及范围为72.46%(67.36%~83.96%),COD已成为影响钦州湾近岸海域富营养化的重要因素。     

近岸海域国控环境质量监测点位优化研究

近岸海域环境监测是掌握其环境质量状况,摸清污染来源和影响范围的必要手段。监测点位是环境监测的基础,监测点位优化是提高环境监测代表性的必要手段。按照《近岸海域环境监测点位布设技术规范》(HJ 730—2014)的要求,梳理了点位优化工作的基本流程,经过试优化,预计在全国将增设122个国控监测点位。其中,76个在原有监测点位中选择增设,46个按照规范要求新设。利用2013年监测结果进行插值分析,调整前后水质总体变化小,未出现颠覆性结论,同时提高了对陆源影响区域水质的监控能力。     

山区土壤重金属空间插值性能的改进

山区土壤重金属监测中,密集均匀的布点采样困难大,成本高。根据稀疏非均匀样本数据准确预测山区土壤重金属空间分布,对可视化描述检测元素的分布及趋势具有重要意义。基于云南省楚雄市南部山区表层土壤中重金属锰、钒的采样数据,对集成径向基函数神经网络(IRBFANNs)和传统插值方法:反距离(IDW)、普通克里格(OK)、径向基函数神经网络(RBFANNs),进行了不同等级采样密度下的插值性能比较。结果表明,样本点数量减少时,传统预测方法的插值精度都有所下降,而IRBFANNs算法在样本点较少情况下能够保持最好的插值精确度和稳定性,有效改进了空间插值性能。     

全国近岸海域水质基本保持稳定 《2016中国近岸海域环境质量公报》发布

正由环境保护部、农业部、交通运输部共同编写的《2016中国近岸海域环境质量公报》(以下简称《公报》)近日由环境保护部统一发布。《公报》显示,2016年,全国近岸海域总体水质基本保持稳定,水质级别为一般。监测结果表明,2016年,全国近岸海域优良点位(一、二类)比例为73.4%,水质级别为一般,水质基本保持稳定,主要     

近岸海域水质目标考核评价方法研究

为满足《水污染防治行动计划》近岸海域水质考核要求,根据目前近岸海域环境监测工作的实际情况,在考核范围、评价方法、目标分解、计分方法等方面进行了比较,在保证公平、公正的前提下,以一致性、可比性和适应性为原则,提出的考核评价方法以单因子评价法和点位评价法为基础,在未达标情况下,按照水质目标完成比例计分;达标情况下,在达标分值基础上按水质的保持和改善给予不同程度的加分,通过实例研究分析能够适应近岸海域水质状况变化的考核工作要求。     

Estimation of spatial distrubition of groundwater level and risky areas of seawater intrusion on the coastal region in Çarşamba Plain,Turkey, using different interpolation methods

Groundwater level plays a significant role in coastal plains. Heavy pumping and excessive use of near-coast groundwater can increase the intrusion of seawater into the aquifers. In the present study, groundwater levels were measured at 59 groundwater wells at different times during pre- and post-irrigation seasons (April and September of the year 2012) in Çar?amba Plain, Turkey. To select the best method, two deterministic interpolation methods (inverse distance weighing (IDW) with the weights of 1, 2, and 3 and radial basis function (RBF) with spline with tension (SPT) and completely regularized spline (CRS)) and two stochastic methods (ordinary kriging (OK) with spherical, exponential, and Gaussian variograms) and cokriging (COK)) were compared and then the best interpolation method was used to evaluate the spatial distribution of groundwater levels in different seasons and seasonal changes. A total of nine different techniques were tested. Also, risky areas of seawater intrusion in coastal area were determined using the best methods for two periods. The performance of these interpolation methods is evaluated by using a validation test method. Statistical indices of correlation (R ²), mean absolute error (MAE), and root-mean-square error (RMSE) were used to select and validate the best methods. Comparisons between predicted and observed values indicated RBF as the optimal method for groundwater level estimation in April and September. When the best method RBF and the worst method IDW were compared, significant differences were observed in the spatial distribution of groundwater. Results of the study also revealed that excessive groundwater withdrawals during the post-irrigation season dropped the groundwater levels up to 2.0 m in some sections. With regard to seawater intrusion, 9,103 ha of land area was determined to be highly risky and risky.     

Groundwater quality assessment and its correlation with gastroenteritis using GIS: a case study of Rawal Town,Rawalpindi, Pakistan

Majority of the people of Pakistan get drinking water from groundwater source. Nearly 40 % of the total ailments reported in Pakistan are the result of dirty drinking water. Every summer, thousands of patients suffer from acute gastroenteritis in the Rawal Town. Therefore, a study was designed to generate a water quality index map of the Rawal Town and identify the relationship between bacteriological water quality and socio-economic indicators with gastroenteritis in the study area. Water quality and gastroenteritis patient data were collected by surveying the 262 tubewells and the major hospitals in the Rawal Town. The collected spatial data was analyzed by using ArcGIS spatial analyst (Moran’s I spatial autocorrelation) and geostatistical analysis tools (inverse distance weighted, radial basis function, kriging, and cokriging). The water quality index (WQI) for the study area was computed using pH, turbidity, total dissolved solids, calcium, hardness, alkalinity, and chloride values of the 262 tubewells. The results of Moran’s I spatial autocorrelation showed that the groundwater physicochemical parameters were clustered. Among IDW, radial basis function, and kriging and cokriging interpolation techniques, cokriging showed the lowest root mean square error. Cokriging was used to make the spatial distribution maps of water quality parameters. The WQI results showed that more than half of the tubewells in the Rawal Town were providing “poor” to “unfit” drinking water. The Pearson’s coefficient of correlation for gastroenteritis with fecal coliform was found significant (P?P?P?相似文献   

Comparison of stochastic and deterministic methods for mapping groundwater level spatial variability in sparsely monitored basins

In sparsely monitored basins, accurate mapping of the spatial variability of groundwater level requires the interpolation of scattered data. This paper presents a comparison of deterministic interpolation methods, i.e. inverse distance weight (IDW) and minimum curvature (MC), with stochastic methods, i.e. ordinary kriging (OK), universal kriging (UK) and kriging with Delaunay triangulation (DK). The study area is the Mires Basin of Mesara Valley in Crete (Greece). This sparsely sampled basin has limited groundwater resources which are vital for the island’s economy; spatial variations of the groundwater level are important for developing management and monitoring strategies. We evaluate the performance of the interpolation methods with respect to different statistical measures. The Spartan variogram family is applied for the first time to hydrological data and is shown to be optimal with respect to stochastic interpolation of this dataset. The three stochastic methods (OK, DK and UK) perform overall better than the deterministic counterparts (IDW and MC). DK, which is herein for the first time applied to hydrological data, yields the most accurate cross-validation estimate for the lowest value in the dataset. OK and UK lead to smooth isolevel contours, whilst DK and IDW generate more edges. The stochastic methods deliver estimates of prediction uncertainty which becomes highest near the southeastern border of the basin.     

便携式分光光度计快速测定水中镍

对3种便携式分光光度计快速测定水中镍的方法进行了优化和比对研究。通过研究各仪器性能指标以及测定实际水质样品,对不同便携式分光光度计的优势进行了比较,为突发性环境污染事故应急监测选择合适的监测仪器提供了技术参考。结果表明:JH916检测仪快速测定水中镍的方法检出限(0.01 mg/L)低于ZZW-II测试仪和PORS-15 V光谱仪方法检出限(均为0.2 mg/L),在突发性环境污染事故应急监测中具有相对较高的灵敏度。ZZW-II测试仪和JH916检测仪快速测定水中镍的方法精密度大体相当,测定结果相对标准偏差均未超过6.5%(n=6),PORS-15V光谱仪快速测定水中镍的方法精密度稍差,最大相对标准偏差达到13.5%。3种便携式分光光度计测定实际样品时,加标回收率分别为79%~96%(ZZW-II测试仪)、83%~113%(PORS-15V光谱仪)、90%~114%(JH916检测仪),表明3种便携式分光光度计均有较好的准确度。     

Macroalgae and DGT as indicators of available trace metals in marine coastal waters near a lead–zinc smelter

The levels of Cd, Cu, Pb, and Zn were determined in the commonest species of green, red, and brown algae collected from five coastal sites in south-western Sardinia (Italy), an area with a long history of mining and smelting. The usefulness of employing Enteromorpha sp. and Padina pavonica (L.) Thivy to monitor metal pollution was evaluated, while diffusive gradients in thin films (DGT) devices were used to measure dissolved metals in seawater. Levels of Cd and Pb were high enough to be of environmental concern in the whole study area. A significant relationship was found between the content of Pb in P. pavonica and DGT-labile Pb in seawater, suggesting that gross elemental concentrations of nonessential metals such as Pb in algal tissues are apparently controlled by the abundance of dissolved metal species in the ambient seawater. The results pointed out the usefulness of using both DGT and algal methods for a better understanding of trace metal availability in coastal waters.     

Characterizing spatial structure of sediment E. coli populations to inform sampling design

Escherichia coli can persist in streambed sediments and influence water quality monitoring programs through their resuspension into overlying waters. This study examined the spatial patterns in E. coli concentration and population structure within streambed morphological features during baseflow and following stormflow to inform sampling strategies for representative characterization of E. coli populations within a stream reach. E. coli concentrations in bed sediments were significantly different (p?=?0.002) among monitoring sites during baseflow, and significant interactive effects (p?=?0.002) occurred among monitoring sites and morphological features following stormflow. Least absolute shrinkage and selection operator (LASSO) regression revealed that water velocity and effective particle size (D ₁₀) explained E. coli concentration during baseflow, whereas sediment organic carbon, water velocity and median particle diameter (D ₅₀) were important explanatory variables following stormflow. Principle Coordinate Analysis illustrated the site-scale differences in sediment E. coli populations between disconnected stream segments. Also, E. coli populations were similar among depositional features within a reach, but differed in relation to high velocity features (e.g., riffles). Canonical correspondence analysis resolved that E. coli population structure was primarily explained by spatial (26.9–31.7 %) over environmental variables (9.2–13.1 %). Spatial autocorrelation existed among monitoring sites and morphological features for both sampling events, and gradients in mean particle diameter and water velocity influenced E. coli population structure for the baseflow and stormflow sampling events, respectively. Representative characterization of streambed E. coli requires sampling of depositional and high velocity environments to accommodate strain selectivity among these features owing to sediment and water velocity heterogeneity.     

Metal contamination in water, sediment and biota from a semi-enclosed coastal area

This study identifies and quantifies the spatial variations of metal contamination in water, sediment and biota: the common cockle (Cerastoderma edule) and the Mermaid’s glove sponge (Haliclona oculata), within a heavily anthropogenically impacted semi-enclosed estuarine–coastal area with a low ability to disperse and flush contaminants (Poole Harbour, UK). The results showed that metal contamination was detected in all environmental compartments. Water was polluted with As, and Hg sediment metals were mostly within “the possible effect range” in which adverse effects occasionally occurs. Cockles had considerable concentrations of Ni, Ag and Hg in areas close to pollution sources, and sponges accumulate Cu and Zn with very high magnitude. A systematic monitoring approach that includes biological monitoring techniques, which covers all embayments, is needed, and an integrated management of the semi-enclosed coastal zones should be based on the overall hydrological characteristics of these sensitive areas and their ability to self‐restore which is different than open coastal zones.     

Fucus spiralis as monitoring tool of metal contamination in the northwest coast of Portugal under the European Water Framework Directives

Metals (Cd, Cr, Cu, Fe, Mn and Zn) in coastal seawaters and soft tissues of macroalga Fucus spiralis from the northwest coast of Portugal were determined to assess spatial variations of metal bioavailabilities and bioaccumulation factors to compare different ecological quality classifications. Both coastal seawaters and soft tissues of F. spiralis showed significant spatial variations in their metal concentrations along the coast. The macroalgae F. spiralis accumulated more efficiently Cd, Mn and Zn and showed low bioaccumulation factors to Cr, Cu and Fe. Regarding the metal guidelines of the Norwegian Pollution Control Authority, the entire northwest (NW) coast of Portugal in April 2013 should be classified as ‘class I—unpolluted’ for all metals, except in Ave for Cu (‘class II—moderately polluted’) and Cavado for Cd and Cu (‘class II—moderately polluted’), revealing the low metal bioavailabilities of these seawaters. As there were always significant positive correlations between all metals in seawaters and F. spiralis, this macroalga species was considered a suitable monitoring tool of metal contamination in the NW coast of Portugal and a useful aquatic organism to be included in the European Environmental Specimen Banks in order to establish a real-time environmental monitoring network under the European Water Framework Directives.