Tropical Research & Education Center, Soil and Water Science Department, IFAS, University of Florida, 18905, SW 280th Street, Homestead, FL 33031, USA.
Environ Monit Assess. 2011 Jul;178(1-4):525-36. doi: 10.1007/s10661-010-1710-2. Epub 2010 Sep 24.
Data of seven water-quality parameters from inflows to the Everglades National Park were collected at three monitoring stations and analyzed for temporal trends. The best-fit models for the existence of trends were evaluated. The Kolmogorov-Smirnov test was used to select the theoretical distribution which best fit the data. Simple regression was used to examine the parameters for concentration-discharge relationships. The power and linear models were found to better describe the concentration-discharge relationships. Loess trend lines indicated a similar trend period of color value change during the selected period at three stations. The sharp decrease in color after 1990 at each station is consistent with the beneficial impacts of control measures, which include Best Management Practices implementation in the Everglades Agricultural Area, water management improvement, and the construction of additional stormwater treatment areas. The existence of trend analysis was performed by using the uncensored seasonal Kendall test. Conductivity and color decreased significantly at two (S12A and S333) of three stations. Alkalinity decreased significantly at S333. A "best-fit" model was selected to describe a trend change with statistical significance; the second-order equation provides a better description of the trend. This study also indicates that by using the routinely measured water-quality parameters, it may be easier to quantify the changes in water quality to aid in making water resources management decisions.
收集了流入大沼泽地国家公园的三个监测站的七种水质参数数据，并对其时间趋势进行了分析。评估了存在趋势的最佳拟合模型。柯尔莫哥洛夫-斯米尔诺夫检验用于选择最适合数据的理论分布。简单回归用于检查浓度-流量关系的参数。幂和线性模型被发现更好地描述了浓度-流量关系。局部加权散点平滑趋势线表明，在三个站选定的时间段内，颜色值变化存在相似的趋势期。每个站在 1990 年后颜色的急剧下降与控制措施的有益影响一致，这些措施包括在大沼泽地农业区实施最佳管理实践、改善水管理以及建造更多的雨水处理区。使用未删失季节性肯德尔检验进行趋势分析。在三个站中的两个（S12A 和 S333），电导率和颜色显著下降。S333 的碱度显著下降。选择了“最佳拟合”模型来描述具有统计学意义的趋势变化；二阶方程更好地描述了趋势。本研究还表明，通过使用常规测量的水质参数，可以更容易地量化水质变化，以帮助做出水资源管理决策。
