Dynamic factor analysis of groundwater quality trends in an agricultural area adjacent to Everglades National Park
The extensive eastern boundary of Everglades National Park (ENP) in south Florida (USA) is subject to one of the most expensive and ambitious environmental restoration projects in history. Understanding and predicting the water quality interactions between the shallow aquifer and surface water is a...
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Published in | Journal of contaminant hydrology Vol. 80; no. 1; pp. 49 - 70 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Amsterdam
Elsevier B.V
01.11.2005
Elsevier Science |
Subjects | |
Online Access | Get full text |
ISSN | 0169-7722 1873-6009 |
DOI | 10.1016/j.jconhyd.2005.07.003 |
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Abstract | The extensive eastern boundary of Everglades National Park (ENP) in south Florida (USA) is subject to one of the most expensive and ambitious environmental restoration projects in history. Understanding and predicting the water quality interactions between the shallow aquifer and surface water is a key component in meeting current environmental regulations and fine-tuning ENP wetland restoration while still maintaining flood protection for the adjacent developed areas. Dynamic factor analysis (DFA), a recent technique for the study of multivariate non-stationary time-series, was applied to study fluctuations in groundwater quality in the area. More than two years of hydrological and water quality time series (rainfall; water table depth; and soil, ground and surface water concentrations of N–NO
3
−, N–NH
4
+, P–PO
4
3−, Total P, F
−and Cl
−) from a small agricultural watershed adjacent to the ENP were selected for the study. The unexplained variability required for determining the concentration of each chemical in the 16 wells was greatly reduced by including in the analysis some of the observed time series as explanatory variables (rainfall, water table depth, and soil and canal water chemical concentration). DFA results showed that groundwater concentration of three of the agrochemical species studied (N–NO
3
−, P–PO
4
3−and Total P) were affected by the same explanatory variables (water table depth, enriched topsoil, and occurrence of a leaching rainfall event, in order of decreasing relative importance). This indicates that leaching by rainfall is the main mechanism explaining concentration peaks in groundwater. In the case of N–NH
4
+, in addition to leaching, groundwater concentration is governed by lateral exchange with canals. F
−and Cl
− are mainly affected by periods of dilution by rainfall recharge, and by exchange with the canals. The unstructured nature of the common trends found suggests that these are related to the complex spatially and temporally varying land use patterns in the watershed. The results indicate that peak concentrations of agrochemicals in groundwater could be reduced by improving fertilization practices (by splitting and modifying timing of applications) and by operating the regional canal system to maintain the water table low, especially during the rainy periods. |
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AbstractList | The extensive eastern boundary of Everglades National Park (ENP) in south Florida (USA) is subject to one of the most expensive and ambitious environmental restoration projects in history. Understanding and predicting the water quality interactions between the shallow aquifer and surface water is a key component in meeting current environmental regulations and fine-tuning ENP wetland restoration while still maintaining flood protection for the adjacent developed areas. Dynamic factor analysis (DFA), a recent technique for the study of multivariate non-stationary time-series, was applied to study fluctuations in groundwater quality in the area. More than two years of hydrological and water quality time series (rainfall; water table depth; and soil, ground and surface water concentrations of N–NO
3
−, N–NH
4
+, P–PO
4
3−, Total P, F
−and Cl
−) from a small agricultural watershed adjacent to the ENP were selected for the study. The unexplained variability required for determining the concentration of each chemical in the 16 wells was greatly reduced by including in the analysis some of the observed time series as explanatory variables (rainfall, water table depth, and soil and canal water chemical concentration). DFA results showed that groundwater concentration of three of the agrochemical species studied (N–NO
3
−, P–PO
4
3−and Total P) were affected by the same explanatory variables (water table depth, enriched topsoil, and occurrence of a leaching rainfall event, in order of decreasing relative importance). This indicates that leaching by rainfall is the main mechanism explaining concentration peaks in groundwater. In the case of N–NH
4
+, in addition to leaching, groundwater concentration is governed by lateral exchange with canals. F
−and Cl
− are mainly affected by periods of dilution by rainfall recharge, and by exchange with the canals. The unstructured nature of the common trends found suggests that these are related to the complex spatially and temporally varying land use patterns in the watershed. The results indicate that peak concentrations of agrochemicals in groundwater could be reduced by improving fertilization practices (by splitting and modifying timing of applications) and by operating the regional canal system to maintain the water table low, especially during the rainy periods. Dynamic factor analysis, which allows for the estimation of common patterns and interactions in several time series and assessment of the effect of explanatory time-dependent variables, was applied to study the interactions between monthly water-quality time series and other hydrological variables obtained at an intensively monitored small agricultural watershed along the boundary of Everglades National Park, FL. The common trends of groundwater quality were identified, and the interactions between groundwater and surface water quality and canal management, hydrology, and land-use components were explored. The study was conducted in the Frog Pond area in Homestead, which has been leased for the last 11 yr to a group of growers who have farmed under restricted conditions. Results suggested that various latent effects influenced the groundwater concentrations of orthophosphate and nitrate across the area. The most important variables affecting groundwater quality were rainfall, water table depth, the concentration of agrochemicals in the soil, and concentrations in the canal bordering the watershed. The extensive eastern boundary of Everglades National Park (ENP) in south Florida (USA) is subject to one of the most expensive and ambitious environmental restoration projects in history. Understanding and predicting the water quality interactions between the shallow aquifer and surface water is a key component in meeting current environmental regulations and fine-tuning ENP wetland restoration while still maintaining flood protection for the adjacent developed areas. Dynamic factor analysis (DFA), a recent technique for the study of multivariate non-stationary time-series, was applied to study fluctuations in groundwater quality in the area. More than two years of hydrological and water quality time series (rainfall; water table depth; and soil, ground and surface water concentrations of N-NO3-, N-NH4+, P-PO4(3-), Total P, F-and Cl-) from a small agricultural watershed adjacent to the ENP were selected for the study. The unexplained variability required for determining the concentration of each chemical in the 16 wells was greatly reduced by including in the analysis some of the observed time series as explanatory variables (rainfall, water table depth, and soil and canal water chemical concentration). DFA results showed that groundwater concentration of three of the agrochemical species studied (N-NO3-, P-PO4(3-)and Total P) were affected by the same explanatory variables (water table depth, enriched topsoil, and occurrence of a leaching rainfall event, in order of decreasing relative importance). This indicates that leaching by rainfall is the main mechanism explaining concentration peaks in groundwater. In the case of N-NH4+, in addition to leaching, groundwater concentration is governed by lateral exchange with canals. F-and Cl- are mainly affected by periods of dilution by rainfall recharge, and by exchange with the canals. The unstructured nature of the common trends found suggests that these are related to the complex spatially and temporally varying land use patterns in the watershed. The results indicate that peak concentrations of agrochemicals in groundwater could be reduced by improving fertilization practices (by splitting and modifying timing of applications) and by operating the regional canal system to maintain the water table low, especially during the rainy periods.The extensive eastern boundary of Everglades National Park (ENP) in south Florida (USA) is subject to one of the most expensive and ambitious environmental restoration projects in history. Understanding and predicting the water quality interactions between the shallow aquifer and surface water is a key component in meeting current environmental regulations and fine-tuning ENP wetland restoration while still maintaining flood protection for the adjacent developed areas. Dynamic factor analysis (DFA), a recent technique for the study of multivariate non-stationary time-series, was applied to study fluctuations in groundwater quality in the area. More than two years of hydrological and water quality time series (rainfall; water table depth; and soil, ground and surface water concentrations of N-NO3-, N-NH4+, P-PO4(3-), Total P, F-and Cl-) from a small agricultural watershed adjacent to the ENP were selected for the study. The unexplained variability required for determining the concentration of each chemical in the 16 wells was greatly reduced by including in the analysis some of the observed time series as explanatory variables (rainfall, water table depth, and soil and canal water chemical concentration). DFA results showed that groundwater concentration of three of the agrochemical species studied (N-NO3-, P-PO4(3-)and Total P) were affected by the same explanatory variables (water table depth, enriched topsoil, and occurrence of a leaching rainfall event, in order of decreasing relative importance). This indicates that leaching by rainfall is the main mechanism explaining concentration peaks in groundwater. In the case of N-NH4+, in addition to leaching, groundwater concentration is governed by lateral exchange with canals. F-and Cl- are mainly affected by periods of dilution by rainfall recharge, and by exchange with the canals. The unstructured nature of the common trends found suggests that these are related to the complex spatially and temporally varying land use patterns in the watershed. The results indicate that peak concentrations of agrochemicals in groundwater could be reduced by improving fertilization practices (by splitting and modifying timing of applications) and by operating the regional canal system to maintain the water table low, especially during the rainy periods. The extensive eastern boundary of Everglades National Park (ENP) in south Florida (USA) is subject to one of the most expensive and ambitious environmental restoration projects in history. Understanding and predicting the water quality interactions between the shallow aquifer and surface water is a key component in meeting current environmental regulations and fine-tuning ENP wetland restoration while still maintaining flood protection for the adjacent developed areas. Dynamic factor analysis (DFA), a recent technique for the study of multivariate non-stationary time-series, was applied to study fluctuations in groundwater quality in the area. More than two years of hydrological and water quality time series (rainfall; water table depth; and soil, ground and surface water concentrations of N-NO3-, N-NH4+, P-PO4(3-), Total P, F-and Cl-) from a small agricultural watershed adjacent to the ENP were selected for the study. The unexplained variability required for determining the concentration of each chemical in the 16 wells was greatly reduced by including in the analysis some of the observed time series as explanatory variables (rainfall, water table depth, and soil and canal water chemical concentration). DFA results showed that groundwater concentration of three of the agrochemical species studied (N-NO3-, P-PO4(3-)and Total P) were affected by the same explanatory variables (water table depth, enriched topsoil, and occurrence of a leaching rainfall event, in order of decreasing relative importance). This indicates that leaching by rainfall is the main mechanism explaining concentration peaks in groundwater. In the case of N-NH4+, in addition to leaching, groundwater concentration is governed by lateral exchange with canals. F-and Cl- are mainly affected by periods of dilution by rainfall recharge, and by exchange with the canals. The unstructured nature of the common trends found suggests that these are related to the complex spatially and temporally varying land use patterns in the watershed. The results indicate that peak concentrations of agrochemicals in groundwater could be reduced by improving fertilization practices (by splitting and modifying timing of applications) and by operating the regional canal system to maintain the water table low, especially during the rainy periods. |
Author | Li, Y.C. Ritter, A. Muñoz-Carpena, R. |
Author_xml | – sequence: 1 givenname: R. surname: Muñoz-Carpena fullname: Muñoz-Carpena, R. email: carpena@ufl.edu organization: Agricultural and Biological Engineering Department, University of Florida, 101 Frazier Rogers Hall, PO Box 110570 Gainesville, FL 32611-0570, USA – sequence: 2 givenname: A. surname: Ritter fullname: Ritter, A. organization: Agricultural and Biological Engineering Department, University of Florida, 101 Frazier Rogers Hall, PO Box 110570 Gainesville, FL 32611-0570, USA – sequence: 3 givenname: Y.C. surname: Li fullname: Li, Y.C. organization: Soil and Water Science Department, Tropical Research and Education Center, University of Florida, 18905 SW 280 Street, Homestead, FL 33031, USA |
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Keywords | Field methods Hydrology Multivariate time series Everglades Groundwater Surface water Water quality Non-point source pollution Dynamic factor analysis Monitoring floods shallow aquifers fine-grained materials ground water nitrates pollution nonpoint sources North America ammonium ion drainage basins wetlands land use soils rainfall fertilization water table concentration leaching surface water factor analysis depth dilution water quality phosphates regulations national parks |
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SubjectTerms | agricultural land Agriculture ammonium compounds aquifers chlorides Conservation of Natural Resources - methods Dynamic factor analysis Earth sciences Earth, ocean, space Engineering and environment geology. Geothermics Environmental Monitoring - methods Everglades Exact sciences and technology Factor Analysis, Statistical Fertilizers - analysis Field methods Florida fluorides Fresh Water - chemistry Geochemistry Groundwater groundwater contamination groundwater flow Hydrogeology Hydrology Hydrology. Hydrogeology irrigation canals leaching Mineralogy Models, Theoretical Monitoring Multivariate time series nitrate nitrogen nitrates Non-point source pollution nonpoint source pollution phosphates phosphorus Pollution, environment geology Rain Silicates Soil - analysis Surface water temporal variation Water geochemistry Water Pollutants, Chemical - analysis Water quality |
Title | Dynamic factor analysis of groundwater quality trends in an agricultural area adjacent to Everglades National Park |
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