Assessing Climate Change Effects in Tropical and Temperate Reservoirs by Modeling Water Quality Scenarios

Obregon, Oliver; Chilton, Reed E.; Williams, Gustavious P.; Nelson, Everett J.; Miller, Jerry

doi:10.1061/41173(414)407

Cited by 5 publications

(5 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At first, it may seem counter intuitive that an increase in temperature causes a decrease in chlorophyll-a and vice versa. However, similar results were found using a two-dimensional water quality model (Obregon et al, 2011). This relationship can be caused by algae species succession (Wetzel, 2001).…”

Section: Climate Change Analysissupporting

confidence: 79%

See 1 more Smart Citation

Spatial and Temporal Statistical Analysis of Water Quality Patterns in a Small Temperate Supply Reservoir

González¹,

Swain²,

Obregon³

et al. 2012

World Environmental and Water Resources Congress 2012

View full text Add to dashboard Cite

Twenty-four years of spatial-temporal water quality data from three different sampling points at the surface were evaluated in Deer Creek Reservoir in Utah. The chosen sampling locations represent the lotic, transitional and lentic zones of a typical man-made lake. The time frame included data collected before and after the completion of the Jordanelle Reservoir (1987)(1988)(1989)(1990)(1991)(1992), upstream of Deer Creek. On average chlorophyll-a and phosphorus levels have dropped since 1984 and dissolved oxygen levels have remained the same. We used stepwise variable selection and multivariable regression to fit chlorophyll-a on climatological, hydrological, and water quality parameters. Analyses of variance (ANOVA) were used to quantify spatial and temporal variation. Significant spatial variation in chlorophyll-a concentration was found to be 92% higher on average in the lotic zone than the lentic zone. The regression model was also used to evaluate future water quality effects produced by different climatic change scenarios. Chlorophyll-a concentrations were used as water quality indicators to assess the in-reservoir effects of climate variation produced by meteorological changes. The model predicted an inverse relationship between air temperature and chlorophyll-a concentrations. Our findings were validated with results obtained from a computational water quality model that found that the statistical model showed similar trends of chlorophyll-a.

show abstract

Section: Climate Change Analysissupporting

confidence: 79%

“…The same analysis was performed for the decreased temperatures. Then, we compared the results from the statistical model to the ones obtained from a two-dimensional computational model (Obregon et al, 2011).…”

Section: Statistical Modelmentioning

confidence: 99%

Spatial and Temporal Statistical Analysis of Water Quality Patterns in a Small Temperate Supply Reservoir

González¹,

Swain²,

Obregon³

et al. 2012

World Environmental and Water Resources Congress 2012

View full text Add to dashboard Cite

show abstract

“…WMS processed the DEM data to produce a bathymetry for Aguamilpa reservoir, which is compatible with some water quality models, such as CE-QUAL W2 (Obregon et al, 2011). DEMs were converted to Triangulated Irregular Networks (TINs) and the boundaries of the reservoir were defined (Figure 4).…”

Section: Resultsmentioning

confidence: 99%

“…In other words, bathymetry is the underwater equivalent to hypsometry (Miller et al, 2010), and this can be used also to describe the shape and volume of water reservoirs (Obregon et al, 2011). The bathymetry is generally obtained by recording water depths throughout a water body and connecting the recorded points of equal water depth.…”

Section: Introductionmentioning

confidence: 99%

The Use of Digital Elevation Models (DEMs) for Bathymetry Development in Large Tropical Reservoirs

Anda¹,

Rangel‐Peraza²,

Obregon³

et al. 2012

Bathymetry and Its Applications

Self Cite

View full text Add to dashboard Cite

“…Bathymetry is the study of underwater depth of lake or ocean floors. In other words, bathymetry is the underwater equivalent to hypsometry (Miller et al, 2010), and this can be used also to describe the shape and volume of water reservoirs (Obregon et al, 2011). The bathymetry is generally obtained by recording water depths throughout a water body and connecting the recorded points of equal water depth.…”

Section: Introductionmentioning

confidence: 99%

Bathymetry and Its Applications

Blondel¹

2012

View full text Add to dashboard Cite

users to download, copy and build upon published articles even for commercial purposes, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. After this work has been published by InTech, authors have the right to republish it, in whole or part, in any publication of which they are the author, and to make other personal use of the work. Any republication, referencing or personal use of the work must explicitly identify the original source. As for readers, this license allows users to download, copy and build upon published chapters even for commercial purposes, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications.

show abstract

Assessing Climate Change Effects in Tropical and Temperate Reservoirs by Modeling Water Quality Scenarios

Cited by 5 publications

References 8 publications

Spatial and Temporal Statistical Analysis of Water Quality Patterns in a Small Temperate Supply Reservoir

Spatial and Temporal Statistical Analysis of Water Quality Patterns in a Small Temperate Supply Reservoir

The Use of Digital Elevation Models (DEMs) for Bathymetry Development in Large Tropical Reservoirs

Bathymetry and Its Applications

Contact Info

Product

Resources

About