A state-space model approach to optimum spatial sampling design based on entropy

We consider the spatial sampling design problem for a random field X. This random field is in general assumed not to be directly observable, but sample information from a related variable Y is available. Our purpose in this paper is to present a state-space model approach to network design based on Shannon's definition of entropy, and describe its main points with regard to some of the most common practical problems in spatial sampling design. For applications, an adaptation of Ko et al.'s (1995) algorithm for maximum entropy sampling in this context is provided. We illustrate the methodology using piezometric data from the Velez aquifer (Malaga, Spain). © Rapid Science 1998     

Estimation of the CDF of a finite population in the presence of acalibration sample

We compare the performance of a number of estimators of the cumulative distribution function (CDF) for the following scenario: imperfect measurements are taken on an initial sample from afinite population and perfect measurements are obtained on a small calibration subset of the initial sample. The estimators we considered include two naive estimators using perfect and imperfect measurements; the ratio, difference and regression estimators for a two-phasesample; a minimum MSE estimator; Stefanski and Bay's SIMEX estimator (1996); and two proposed estimators. The proposed estimators take the form of a weighted average of perfect and imperfect measurements. They are constructed by minimizing variance among the class of weighted averages subject to an unbiasedness constraint. They differ in the manner of estimating the weight parameters. The first one uses direct sample estimates. The second one tunes the unknown parameters to an underlying normal distribution. We compare the root mean square error (RMSE) of the proposed estimator against other potential competitors through computer simulations. Our simulations show that our second estimator has the smallest RMSE among thenine compared and that the reduction in RMSE is substantial when the calibration sample is small and the error is medium or large.     

基于高光谱遥感的沿海河口无机氮浓度空间分布特征解译

利用39组样本的野外实测光谱结合Hyperion影像资料,建立了高悬沙含量沿海河口可溶性无机氮(dissolved inorganic nitrogen,DIN)的高光谱定量遥感解译模型,实现DIN浓度空间分布规律的遥感反演及动态监测.研究发现,当悬沙浓度0.1kg/m3时,DIN浓度与悬沙含量之间呈显著的倒数相关关系,相关系数R2为0.617.据此首先将重采样处理后的野外实测光谱与同步DIN浓度数据进行统计相关分析,筛选出2个对DIN浓度变化敏感的波段,中心波长分别为630nm和804nm;然后利用波段反射率R804和R630计算出仿泥沙遥感参数因子R804×R630/(R804-R630),建立其与实测DIN浓度的非线性遥感模型,29组建模样本和10组检验样本的相关系数R2分别为0.746和0.67,DIN浓度平均绝对误差分别为109.07μg/L和147.58μg/L.将该非线性遥感模型应用于Hyperion影像,获得了射阳河口DIN浓度的空间分布特征,DIN浓度的变化范围为52～513μg/L.可以看出,在以悬沙为主要悬浮物的沿海河口,遥感解译得到的DIN浓度扩散趋势与潮流的运动以及悬沙的运移规律密切相关.因此,在无需了解水动力状况的条件下,高光谱遥感是对DIN浓度进行动态监测的有效手段.     

杭州市河道底泥重金属污染评价与环保疏浚深度研究

重金属是河道底泥疏浚要控制的重要污染物,而疏浚深度是生态疏浚工程中需要确定的关键参数.本文以杭州经济技术开发区河道为研究对象,共采集18处底泥柱状样,采用土壤背景值、土壤环境质量二级标准值、变异系数和相关性分析方法对底泥中Cu、Zn、Pb、Cd、Ni、As的污染状况进行了评价,同时分析重金属总量和有效态含量在垂向上的变化特征,并引入地累积指数法对各深度底泥中的重金属进行累积性评估,利用本文提出的临界累积深度方法来确定合理的环保疏浚深度.结果表明,河道表层底泥中Cu、Zn、Pb、Cd、Ni、As的平均含量分别为165.16、342.40、55.34、3.61、34.06、36.70 mg·kg-1,Cd、Cu、As、Zn的有效态含量分别为0.007、3.37、0.095、20.76 mg·kg-1,重金属总量均超过了杭嘉湖平原土壤背景值,其中Cd污染最为严重.各重金属元素在底泥中的变异系数为0.29~2.39,空间分布并不均匀.重金属总量和有效态含量随底泥深度的增大整体呈下降趋势,但受不同时期人类活动污染及河道整治影响而呈不规则变化.各重金属元素的富集程度为CdAsZnPbNiCu,其中,Cd污染等级为2~6级,污染程度为中度污染至极强污染.利用临界累积深度方法推算得到研究区域河道底泥环保疏浚深度为0~0.9 m.     

南四湖南阳湖区河口与湖心沉积物重金属形态对比研究

湖泊河口区与湖心区沉积条件不同,沉积物重金属等内源污染物的分布亦可能存在较大区别.为比较河口区与湖心区沉积物重金属赋存形态的空间差异,利用柱状沉积物采样器在南四湖南阳湖区湖心和河口分别获取原位柱状沉积物,在比较分析沉积物孔隙度、有机质、粒度及典型重金属(Cu、Pb、Cd、Cr、Hg)各形态垂向分布特征的基础上,对其相关性进行分析,并对表层(0~4 cm)沉积物重金属污染程度及潜在生态风险进行评价.结果表明,除Cd外,河口区沉积物Cu、Pb、Cr、Hg含量较湖心区高,泗河为南阳湖区重金属污染物的来源之一,沉积物重金属各形态含量在垂向分布上规律性不明显,且均主要以残渣晶格结合态存在,5种重金属元素中,Hg残渣晶格结合态所占比重最小(约30%),具有较高的迁移性,存在相对较大的生态风险.地积累指数法和潜在生态危害指数法研究结果表明,河口区与湖心区表层沉积物均受Hg及Cd的污染较重,Pb、Cu、Cr污染较轻,潜在生态危害指数法所得污染级别较地积累指数法高.相关性分析表明,沉积物Cu、Pb、Cd、Cr、Hg总量、可交换态、有机物及硫化物结合态、残渣晶格结合态含量与沉积物孔隙度、有机质相关系数多为正值,同粒度相关系数多为负值,同碳酸盐结合态和铁锰氧化物结合态的相关系数各异,无明显规律.     

浑河-大辽河水系水体与沉积物中典型全氟化合物的污染水平及生态风险评价

采用超高效液相色谱串联质谱(UPLC-ESI-MS/MS)分析了水体和沉积物中全氟化合物(PFCs)浓度水平,结果表明,浑河-大辽河的干流水中,PFCs总浓度范围为1.80~13.0 ng·L-1,其中,PFHx A、PFHp A、PFOA、PFOS和PFDA是主要污染物;沈阳细河中PFCs的总浓度为27.0~50.0 ng·L-1,其主要污染物为PFPA、PFOA、PFOS和PFDA.在浑河-大辽河沉积物中,PFHx A是唯一的检出物,其含量为0.130~0.490 ng·g-1干重;除了PFHx A,PFOS也是细河中的主要污染物,其浓度水平分别为0.070~0.220 ng·g-1和0.180~0.830 ng·g-1干重.采用实测的水和沉积物中PFOA和PFOS的暴露浓度以及预测的无效应浓度(PNEC),运用商值法对浑河-大辽河干流及沈阳细河水体和沉积物中PFOA和PFOS的生态风险进行评价.结果表明水体和沉积物中PFOA和PFOS的浓度均未达到对生态环境具有风险的水平.     

Development of Sediment and Nutrient Export Coefficients for U.S. Ecoregions

Water quality impairment due to excessive nutrients and sediment is a major problem in the United States (U.S.). An important step in the mitigation of impairment in any given water body is determination of pollutant sources and amount. The sheer number of impaired waters and limited resources makes simplistic load estimation methods such as export coefficient (EC) methods attractive. Unfortunately ECs are typically based on small watershed monitoring data, which are very limited and/or often based on data collected from distant watersheds with drastically different conditions. In this research, we seek to improve the accuracy of these nutrient export estimation methods by developing a national database of localized EC for each ecoregion in the U.S. A stochastic sampling methodology loosely based on the Monte‐Carlo technique was used to construct a database of 45 million Soil and Water Assessment Tool (SWAT) simulations. These simulations consider a variety of climate, topography, soils, weather, land use, management, and conservation implementation conditions. SWAT model simulations were successfully validated with edge‐of‐field monitoring data. Simulated nutrient ECs compared favorably with previously published studies. These ECs may be used to rapidly estimate nutrient loading for any small catchment in the U.S. provided the location, area, and land‐use distribution are known.     

Can Rapid Assessment Protocols Be Used to Judge Sediment Impairment in Gravel‐Bed Streams? A Commentary

Land management agencies commonly use rapid assessments to evaluate the impairment of gravel‐bed streams by sediment inputs from anthropogenic sources. We question whether rapid assessment can be used to reliably judge sediment impairment at a site or in a region. Beyond the challenges of repeatable and accurate sampling, we argue that a single metric or protocol is unlikely to reveal causative relations because channel condition can result from multiple pathways, processes, and background controls. To address these concerns, a contextual analysis is needed to link affected resources, causal factors, and site history to reliably identify human influences. Contextual analysis is equivalent in principle to cumulative effects and watershed analyses and has a rich history, but has gradually been replaced by rapid assessment methods. Although the approaches differ, rapid assessment and contextual analysis are complementary and can be implemented in a two‐tiered approach in which rapid assessment provides a coarse (first‐tier) analysis to identify sites that deserve deeper contextual assessment (second‐tier). Contextual analysis is particularly appropriate for site‐specific studies that should be tailored to local conditions. A balance between rapid assessment and contextual analysis is needed to provide the most effective information for management decisions.     

Geomorphic and Ecological Consequences of Riprap Placement in River Systems

Riprap, consisting of large boulders or concrete blocks, is extensively used to stabilize streambanks and to inhibit lateral erosion of rivers, yet its effect on river morphology and its ecological consequences have been relatively little studied. In this paper, we review the available information, most of it culled from the “grey” literature. We use a simple one‐dimensional morphodynamic model as a conceptual tool to illustrate potential morphological effects of riprap placement in a gravel‐bed river, which include inhibition of local sediment supply to the channel and consequent channel bed scour and substrate coarsening, and downstream erosion. Riprap placement also tends to sever organic material input from the riparian zone, with loss of shade, wood input, and input of finer organic material. Available information on the consequences for the aquatic ecosystem mainly concerns effects on commercially and recreationally important fishes. The preponderance of studies report unfavorable effects on local numbers, but habitat niches created by openings in riprap can favorably affect invertebrates and some small fishes. There is a need for much more research on both morphological and ecosystem effects of riprap placement.     

Prediction of Total Sediment Load in Sand‐Bed Rivers in Korea Using Lateral Distribution Method

A new method for numerically predicting the total sediment load in a river is proposed. The method can be used to predict the total sediment load with information on channel geometry and slope, flow, and bed materials. The conventional method uses a 1D approach that assumes the channel has a wide rectangular shape. However, the proposed method computes depth‐averaged velocity over the width and predicts the total sediment load based on the flow computations. The new method, therefore, is expected to predict better if the flow changes significantly in the lateral direction. The proposed method was applied to three large sand‐bed rivers in Korea, where information is available regarding suspended sediment. Five formulas were tested of use in making total sediment load computations, namely Engelund‐Hansen's, Ackers‐White's, Yang's, Brownlie's, and Karim's formulas. The predicted total sediment loads are compared not only with measured data but also with results calculated using the 1D approach. Discrepancy ratios between the predicted and measured total sediment loads are given and the results are discussed.