Real-time water quality monitoring and regression analysis to estimate nutrient and bacteria concentrations in Kansas streams

Christensen, Victoria G.; Rasmussen, Patrick P.; Ziegler, Andrew C.

doi:10.2166/wst.2002.0240

Cited by 49 publications

(36 citation statements)

References 5 publications

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“…Loads, the chemical mass of a constituent transported during a given period of time, are particularly important when considering the amount of constituents entering a water body (Christensen et al 2001).…”

Section: Introductionmentioning

confidence: 99%

Trend Analysis of Nutrient Concentrations and Loads in Selected Canals of the Southern Indian River Lagoon, Florida

Qian

Migliaccio

Wan

et al. 2007

Water Air Soil Pollut

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Long-term nutrient concentration trends and load variations at six monitoring stations on four canals in the Southern Indian River Lagoon (Florida, USA) were evaluated using the Estimate Trend (Estrend) and Load Estimator (Loadest) programs. The results of trend analysis on nutrient concentrations suggested that the nutrient trend patterns were spatially variable. Increasing trends were most often observed in orthophosphate and/or total phosphorus at five stations. Significantly increased annual loads were observed for orthophosphate at four stations from 1979 through 2004. The median concentrations of ammonia (0.05 to 0.10 mg l −1 ) were greater than the State of Florida surface water quality criteria of class III freshwater body for ammonia. The median concentrations of total phosphorus (138 to 376 μg l −1 ) were greater than the USEPA ambient water quality criteria recommendation for the study area (Nutrient Ecoregion XIII). Nutrient (phosphorus and nitrogen) loads observed in this study are likely to impair the water quality in the Southern Indian River Lagoon.

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Section: Introductionmentioning

confidence: 99%

Trend Analysis of Nutrient Concentrations and Loads in Selected Canals of the Southern Indian River Lagoon, Florida

Qian

Migliaccio

Wan

et al. 2007

Water Air Soil Pollut

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“…However, it cannot provide enough information on the identification of pollutant sources and possible management strategies for aquatic restoration (QIAN et al, 2007). So the loads, i.e., the bulk of a chemical constituent carried during certain period of time are particularly important when the amount of the constituents mixed in the water body is considered (CHRISTENSEN; RASMUSSEN; ZIEGLER, 2002).…”

Section: Introductionmentioning

confidence: 99%

Trend analysis of the load and concentration of physical, chemical and biological parameters in the Verde River Basin

Pinto

Andrade

Pinto

et al. 2017

RBRH

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The estimation of loads of pollutants is of crucial interest to identify the level of water quality, understand the processes and identify the sources of pollution. The aim of this study was to calculate time trends of loads and concentrations of eleven physical, chemical and biological parameters, in nine quality monitoring stations of the Verde River Basin from 2008 to 2014. The time series analysis was performed with different tests. First, with the verification of autocorrelation of the time series using the Spearman correlation test. Then, Kruskal-Wallis test was used to check significant differences between the seasons and, afterwards the Mann-Kendall or the Seasonal Mann-Kendall time trend tests were applied accordingly. The analysis results indicated differences between the spatial distribution of loads and concentrations for most of the parameters evaluated in this study. The results showed that the simultaneous analysis of concentration data and flow data is essential for a more comprehensive and reliable evaluation of water quality, since the changes in river flow over time can mislead the interpretation of the concentration data. Moreover, to analyze only the pollutant load data, without looking how the flow and concentration behaves, does not provide conclusive results, since it does not allow to evaluate whether changes in the load values were caused by alterations of the flow or concentration. Thus, the results indicate the need to monitor water quality along with flow measurement, providing more complete and reliable assessments of the evolution of water quality.Keywords: Trend analysis; Water quality; Pollutants concentration and load. RESUMOA estimativa das cargas poluentes é de interesse crucial para identificar o nível de qualidade da água, entender os processos e identificar as fontes de poluição. O objetivo deste estudo foi calcular as tendências temporais das cargas e concentrações de onze parâmetros físicos, químicos e biológicos, em nove estações de monitoramento de qualidade da água da bacia hidrográfica do rio Verde, no período de 2008 a 2014. A análise das séries temporais foi realizada a partir da verificação da autocorrelação da série temporal utilizando-se o teste de correlação de Spearman, teste de Kruskal-Wallis para verificação de diferenças significativas entre as estações do ano e os testes de Mann-Kendall e Sazonal Mann-Kendall para análises de tendência temporal. As análises indicaram diferenças entre a distribuição espacial da carga e da concentração para a maioria dos parâmetros avaliados neste estudo. Os resultados demostraram que a análise conjunta de dados de concentração e vazão é essencial para uma avaliação mais abrangente e fidedigna da qualidade da água, pois alterações no fluxo do rio ao longo do tempo podem dificultar a interpretação dos dados de concentrações. Verificou-se ainda que a análise de dados de carga dos poluentes, sem o estudo do comportamento da vazão e da concentração não fornece resultados conclusivos, visto que não permite avaliar a influê...

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“…Christensen et al [5,6] developed MLR based software sensors to predict total suspended solids (TSS), fecal coliforms, and nutrients for several streams in Kansas, USA, using real-time measured Turb, specific conductance, water temperature, and discharge. Data from the software sensor was applied to calculate total maximum loads of the TSS on the streams.…”

Section: Introductionmentioning

confidence: 99%

“…, temperature, pH, DO, and EC sensors. Ryberg [14] and Christensen et al [15] applied MLR models fed with data from in situ stream flow, EC, pH, temperature, Turb, and DO sensors for predicting TN and TP of streams. Even with the data from surrogate sensors, their models could reasonably predict the TN and TP of their streams; R 2 s of the MLR models for TN and TP were 0.70, and 0.77, respectively.…”

Section: Introductionmentioning

confidence: 99%

Development of Software Sensors for Determining Total Phosphorus and Total Nitrogen in Waters

Lee¹,

Han²,

Kim

2013

IJERPH

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Total nitrogen (TN) and total phosphorus (TP) concentrations are important parameters to assess the quality of water bodies and are used as criteria to regulate the water quality of the effluent from a wastewater treatment plant (WWTP) in Korea. Therefore, continuous monitoring of TN and TP using in situ instruments is conducted nationwide in Korea. However, most in situ instruments in the market are expensive and require a time-consuming sample pretreatment step, which hinders the widespread use of in situ TN and TP monitoring. In this study, therefore, software sensors based on multiple-regression with a few easily in situ measurable water quality parameters were applied to estimate the TN and TP concentrations in a stream, a lake, combined sewer overflows (CSOs), and WWTP effluent. In general, the developed software sensors predicted TN and TP concentrations of the WWTP effluent and CSOs reasonably well. However, they showed relatively lower predictability for TN and TP concentrations of stream and lake waters, possibly because the water quality of stream and lake waters is more variable than that of WWTP effluent or CSOs.

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Real-time water quality monitoring and regression analysis to estimate nutrient and bacteria concentrations in Kansas streams

Cited by 49 publications

References 5 publications

Trend Analysis of Nutrient Concentrations and Loads in Selected Canals of the Southern Indian River Lagoon, Florida

Trend Analysis of Nutrient Concentrations and Loads in Selected Canals of the Southern Indian River Lagoon, Florida

Trend analysis of the load and concentration of physical, chemical and biological parameters in the Verde River Basin

Development of Software Sensors for Determining Total Phosphorus and Total Nitrogen in Waters

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