Analysis of Long-Term Chlorophyll Trends in Utah Lake using Landsat Data and Lake Regions

被引:2
作者
Tanner, Kaylee Brook [1 ]
Cardall, Anna Catherine [2 ]
Williams, Gustavious Paul [1 ]
机构
[1] Brigham Young Univ, Civil & Construct Engn, Provo, UT 84602 USA
[2] Brigham Young Univ, Chem Engn, Provo, UT USA
来源
2022 INTERMOUNTAIN ENGINEERING, TECHNOLOGY AND COMPUTING (IETC) | 2022年
关键词
remote sensing; Landsat; algal blooms; chlorophyll-a; Utah Lake; water quality;
D O I
10.1109/IETC54973.2022.9796773
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Understanding long-term trends in water quality is essential for effective and sustainable management of waterbodies. Using remotely-sensed data, we generated and analyzed a 40-year history of estimated chlorophyll-a (chl-a) concentrations on Utah Lake, which experiences intense algal blooms and is currently the subject of significant controversy over potential remediation strategies. To investigate the potential impacts of shoreline development and WWTP effluent streams on chl-a concentration, which is an indicator of algal biomass, we compared trends and average concentration estimates for different regions of the lake. For the majority of the lake, there is a very small, statistically significant decreasing trend in chl-a concentrations over the last 40 years, and regions receiving WWTP effluent show little difference from regions with undeveloped shoreline. One region (a shallow bay isolated from the rest of the lake) has both higher average concentrations and a significant positive trend over the 40 years, and appears to be influencing the areas of the lake connected to it. These results indicate that other factors besides nutrient inflows are likely driving algal blooms on Utah Lake, and further research is necessary to understand the lake processes and characteristics that influence these blooms.
引用
收藏
页数:5
相关论文
共 19 条
[1]  
Anaconda.org, COND FORG PACK PYM 1
[2]  
[Anonymous], 2016, LANDSAT EARTH OBSERV
[3]  
[Anonymous], 2007, UTAH LAKE TMDL POLLU
[4]  
Call E., 2019, Calculating the Impact of~ 65 years of Anthropogenic Activity on the Utah Lake Watershed Using Remote Sensing and Spatial Modeling
[5]  
Cardall A., 2021, Open Water J, V7, P1
[6]  
Fuhriman D.K., 1981, Great Basin Naturalist Memoirs, P43
[7]  
Hansen C., 2015, Google Earth Engine as a Platform for Making Remote Sensing of Water Resources a Reality for Monitoring Inland Waters
[8]  
Hansen C. H., 2015, WORLD ENV WATER RESO
[9]   Evaluating historical trends and influences of meteorological and seasonal climate conditions on lake chlorophyll a using remote sensing [J].
Hansen, Carly H. ;
Burian, Steven J. ;
Dennison, Philip E. ;
William, Gustavious P. .
LAKE AND RESERVOIR MANAGEMENT, 2020, 36 (01) :45-63
[10]   Evaluating Remote Sensing Model Specification Methods for Estimating Water Quality in Optically Diverse Lakes throughout the Growing Season [J].
Hansen, Carly Hyatt ;
Williams, Gustavious Paul .
HYDROLOGY, 2018, 5 (04)