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Synthesizing the relationships of stream benthic macroinvertebrates to environmental variables in the design of BMPs.

机译:在BMPs的设计中综合了河流底栖大型无脊椎动物与环境变量的关系。

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An approach was developed to synthesize stream ecological elements in the design of best management practices (BMPs) for stormwater management. Application of this approach would ensure that BMPs achieve their objectives of protecting both physicochemical characteristics and ecological features of receiving waterbodies. Benthic macroinvertebrates were used as indicators of stream environmental quality. The benthic macroinvertebrates data were collected by the Virginia Department of Environmental Quality at 164 benthic sampling sites in 1st through 4th order streams located in Virginia, from 1994 through 2001.; This study consisted of two main parts: First, statistical analysis of benthic macroinvertebrates, physicochemical, and habitat data was performed to quantify relationships between benthic macroinvertebrates and stream environmental variables. The statistical methods that were used include principal component analysis, generalized additive modeling and non-parametric changepoint analysis. Five benthic metrics (i.e., taxonomic richness, percent of the two most dominant taxa, percent of sensitive taxa, percent of tolerant taxon, and percent of shredders) were used to represent benthic macroinvertebrate community structure and function. Twenty environmental variables, of which eight were physicochemical and twelve were habitat related, represented stream environmental conditions. The physicochemical variables were total suspended solids (TSS), total phosphorus, nitrate, dissolved oxygen (DO), water temperature, conductivity, flow rate, and pH. The habitat variables were bank stability, bank vegetative protection, channel alteration due to man-induced activities, channel flow status, embeddedness of stream, epifaunal substrate, grazing or other bank disruptive pressure, in-stream cover, frequency of riffles, riparian vegetation zone width, sediment deposition in stream, and velocity-depth regimes of stream. Results of analysis indicated that taxonomic richness decreases as TSS concentration and flow rate increase. The percent of sensitive taxa increases as DO concentration increases, while the percent of tolerant taxon and the two most dominant taxa decrease with increasing DO concentrations. None of the physicochemical variables showed a significant effect on the percent of shredders.; Second, watershed modeling was performed to evaluate the adequacy of BMPs designed using a conventional performance-based BMP design approach, in providing favorable stream conditions to support an acceptable composition of benthic macroinvertebrates. (Abstract shortened by UMI.)
机译:在设计用于雨水管理的最佳管理规范(BMP)时,开发了一种方法来综合溪流生态要素。这种方法的应用将确保BMP达到保护受水体的理化特性和生态特性的目的。底栖无脊椎动物被用作河流环境质量的指标。底栖大型无脊椎动物的数据是由弗吉尼亚州环境质量部在1994年至2001年期间在位于弗吉尼亚州的第一至第四阶流的164个底栖动物采样点收集的。这项研究包括两个主要部分:首先,对底栖大型无脊椎动物,理化和栖息地数据进行统计分析,以量化底栖大型无脊椎动物与河流环境变量之间的关系。使用的统计方法包括主成分分析,广义加性建模和非参数变化点分析。五个底栖生物指标(即,分类学丰富度,两个最主要的分类群的百分比,敏感分类群的百分比,耐受性分类群的百分比和切碎机的百分比)被用来代表底栖大型无脊椎动物群落结构和功能。二十个环境变量代表了溪流环境条件,其中八个是物理化学变量,十二个是与栖息地相关的变量。物理化学变量为总悬浮固体(TSS),总磷,硝酸盐,溶解氧(DO),水温,电导率,流速和pH。栖息地变量包括河岸稳定性,河岸营养保护,人为活动引起的河道变化,河道水流状态,溪流的嵌入度,表生真菌底物,放牧或其他河岸破坏压力,河道覆盖,浅滩频率,河岸植被带宽度,河流中的沉积物沉积以及河流的速度深度模式。分析结果表明,随着TSS浓度和流速的增加,生物分类学的丰富度降低。随着DO浓度的增加,敏感分类单元的百分比增加,而耐受的分类单元和两个最主要的分类单元的百分比随DO浓度的增加而降低。没有任何物理化学变量显示出对切碎机百分比的显着影响。其次,进行分水岭建模以评估使用常规基于性能的BMP设计方法设计的BMP的适当性,从而提供有利的水流条件以支持底栖大型无脊椎动物的可接受组成。 (摘要由UMI缩短。)

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