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Spatial and Temporal Patterns in the Influence of Land Use on Water Quality in Five Portland Area Creeks Representing Differing Levels of Urbanization

机译:土地利用对五个波特兰地区小区水质影响的时空格局代表不同的城市化水平

摘要

While the negative effects of urban development on freshwater systems are well documented, impacts of human disturbance on water quality vary depending on land cover, local climate, and temporal and spatial scales of analysis. To better understand this variation, we analyzed water quality data for a total of 15 sites from six Portland, Oregon area creeks at multiple spatial and temporal scales. The creeks are characterized by differing levels of urban development, from relatively pristine to highly developed. More than ten years of monthly data gathered by the Portland Bureau of Environmental Services were used to analyze temporal trends, and five years of these data were used to analyze spatial patterns. Analytes of interest were specific conductivity, dissolved oxygen, nitrate, phosphorus, total suspended solids, and temperature. These variables were compared to contributing area land use metrics at three scales: full contributing sub-basin, 100-meter riparian corridor, and 50-meter riparian corridor. We calculated seven land use metrics: population density, street density, Green Streets density, percent low density development, percent high density development, percent forested area, and percent agriculture. We found Spearman?s Rank Correlation Coefficient between the water quality parameters for annual, wet, and dry seasons and the land use metrics at each spatial scale for each parameter. The same water quality data were also analyzed for correlations to same day as well as 3-, 5-, and 7-day antecedent precipitation to examine relationships between water quality and environmental moisture conditions. Additionally, we used a Seasonal Kendall test to search for temporal trends. For each site included in the temporal analysis, changes in population density and street density metrics from 2000 to 2010 were compared to changes in water quality. Results vary across space, but generally confirm that urban development has negatively impacted the creeks. Specific conductivity, total suspended solids and nitrate are particularly sensitive to the level of urban development, especially following rain events. This work will help to better understand and mitigate urbanization impacts on freshwater systems.
机译:尽管城市发展对淡水系统的负面影响已得到充分证明,但人为干扰对水质的影响因土地覆盖,当地气候以及分析的时空尺度而异。为了更好地理解这种变化,我们分析了俄勒冈州波特兰地区六个小溪中总共15个地点在多个时空尺度上的水质数据。小溪的特点是城市发展水平不同,从相对原始到高度发达。波特兰环境服务局收集的十多年来的月度数据用于分析时间趋势,而其中的五年则用于分析空间格局。感兴趣的分析物是比电导率,溶解氧,硝酸盐,磷,总悬浮固体和温度。将这些变量与三个区域的贡献面积土地利用指标进行了比较:完全贡献子盆地,100米河岸走廊和50米河岸走廊。我们计算了七个土地利用指标:人口密度,街道密度,绿色街道密度,低密度发展百分比,高密度发展百分比,林木面积百分比和农业百分比。我们发现了Spearman的等级相关系数在年度,湿季和旱季的水质参数与每个参数的每个空间尺度上的土地利用指标之间。还分析了相同的水质数据,以了解与当天以及3天,5天和7天的前期降水的相关性,以检查水质与环境湿度条件之间的关系。此外,我们使用季节性肯德尔检验来搜索时间趋势。对于时间分析中包含的每个站点,将2000年至2010年的人口密度和街道密度指标变化与水质变化进行了比较。结果因空间而异,但总体上确认了城市发展对小河产生了负面影响。比电导率,总悬浮固体和硝酸盐对城市发展水平特别敏感,尤其是在降雨之后。这项工作将有助于更好地了解和减轻城市化对淡水系统的影响。

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