Impact Source Determination with Biomonitoring Data in New York State: Concordance with Environmental Data

Riva-Murray, Karen; Bode, Robert W.; Phillips, Patrick J.; Wall, Gretchen

doi:10.2307/3858392

Cited by 11 publications

(19 citation statements)

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“…Data gathered in 1993 indicated that water quality in this section of the river showed slight improvement, and it was reclassified as being moderately impacted (Riva-Murray et al 2002). Follow-up studies conducted from 1997 to 1999 showed no further improvement (Bode et al 2004, Riva-Murray et al 2002. Bode et al (2004) reported that assays of crayfish tissue detected high concentrations of lead and 5 organic compounds that exceeded current thresholds for concern.…”

Section: Discussionmentioning

confidence: 99%

“…Riva-Murray et al (2002) found an abundance of these taxa in the Yonkers section of the Saw Mill River, which was found to have heavy loads of metals and hydrocarbons. Further studies are needed in order to determine if any of these pollutants affect the composition of the benthic fauna at the 2 northern sites.…”

Section: Discussionmentioning

confidence: 99%

“…Bode et al (2004) reported that this section of the river was classified as severely impacted in 1992. Data gathered in 1993 indicated that water quality in this section of the river showed slight improvement, and it was reclassified as being moderately impacted (Riva-Murray et al 2002). Follow-up studies conducted from 1997 to 1999 showed no further improvement (Bode et al 2004, Riva-Murray et al 2002.…”

Section: Discussionmentioning

confidence: 99%

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Water-Quality Assessment of Two Slow-Moving Sandy-Bottom Sites on the Saw Mill River, New York

Warkentine

Rachlin

2015

Northeastern Naturalist

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-We selected 2 sites on the Saw Mill River and conducted biological assessments of water quality using macroinvertebrate composition. Assessment metrics used were: Shannon-Weiner diversity, evenness, species richness, Hilsenhoff biotic index (HBI), Ephemeroptera-Plecoptera-Trichoptera richness (EPT), and non-Chironomidae and Oligochaete (NCO) richness. Water temperature, pH, conductivity, total dissolved solids, dissolved oxygen, and water flow and velocity were not significantly different across sites. Shannon-Weiner diversity values were 2.32 (evenness = 0.20) for Chappaqua and 2.68 (evenness = 0.31) for Hawthorne. Species and NCO richness for Chappaqua were 49 and 22, respectively, and for Hawthorne were 44 and 23, respectively. HBI was 7.99 for Chappaqua and 7.69 for Hawthorne. Both sites had equal EPT values of 5. Based on macroinvertebrate assessment indices, we classified water quality at these sites as non-impacted.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Water-Quality Assessment of Two Slow-Moving Sandy-Bottom Sites on the Saw Mill River, New York

Warkentine

Rachlin

2015

Northeastern Naturalist

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“…Logo, a avaliação físico-química das águas pode ser usada para medir os efeitos que as atividades humanas têm sobre o ambiente (LIMBURG; SCHMIDT, 1990;JONES et al, 1999;BIS et al, 2000;RIVA-MURRAY et al, 2002;WOODCOCK et al, 2006;ALVES et al, 2013).…”

Section: Introductionunclassified

Relação entre padrões de uso e ocupação do solo e qualidade da água em uma bacia hidrográfica urbana

Menezes

Bittencourt²,

Farias³

et al. 2016

Eng. Sanit. Ambient.

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“…Numerous studies have suggested that the quality of surface water is affected by the characteristics of the soil cover within a drainage area (Limburg and Schmidt, 1990;Jones et al, 1999;Bis et al, 2000;Riva-Murray et al, 2002;Woodcock et al, 2006;Chang, 2008). The deterioration of aquatic ecosystems results from decreases in the dissolved oxygen concentration (DOC) due to pollutant degradation by microorganisms, chemical oxidation, and plant, algal, and phytoplankton respiration (Drolc and Konkan, 1996).…”

Section: Introductionmentioning

confidence: 99%

Water quality prediction using the QUAL2Kw model in a small karstic watershed in Brazil

Camargo¹,

Calijuri²,

Santiago³

et al. 2010

Acta

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Aim: The Tancredo Neves International Airport (TNIA) complex is situated in Brazil's Fidalgo watershed. Since its construction, the TNIA complex has attracted urban development, leading to expansion of the complex and occupation of the surrounding area. However, this area lacks basic infrastructure such as wastewater treatment facilities. This paper had the objectives of calibrating and validating a water quality prediction model and of assessing the capacity of small karstic watersheds to assimilate non-point source pollutant loads; Methods: We used the QUAL2Kw model for modeling the water quality. We performed model calibration for the rainy period then validated the results for the dry period; Results: The model adequately represented the physical, chemical, and hydraulic aspects of the Fidalgo watershed. The pH, EC, TDS, TP, alkalinity and E. coli presented the closest simulation values for the rainy period. For the dry period, the best simulations were obtained for pH, EC, TDS, TP, and alkalinity. We concluded that the calibration and validation periods had similar RMSE values for flow rate, TDS and DOC. The differences were greater for pH, EC, NO 3 , TP, and E. coli. The lowest dissolved oxygen contents obtained during the calibration and validation periods were 5.4 and 4.7 mg.L The conservation of the water resources in this region should therefore consider the adoption of preventive measures such as protecting exposed soils and decreasing the nutrient influx from agricultural and livestock activities.Keywords: water quality, karstic region, modeling, QUAL2Kw, urban pollution.Resumo: Objetivo: O Aeroporto Internacional Tancredo Neves (AITN) está localizado na microbacia do córrego do Fidalgo, Brasil. Desde sua construção, o AITN tem atraído a instalação de indústrias e loteamentos residenciais sem que a região oferecesse condições básicas de infraestrutura. Este trabalho teve por objetivo calibrar e validar modelo de predição da qualidade da água e avaliar a capacidade de assimilação de cargas difusas em microbacia cárstica; Métodos: Utilizou-se o QUAL2Kw para a modelagem da qualidade da água. A calibração do modelo foi realizada no período chuvoso e a validação para o período seco; Resultados: O modelo demonstrou ser capaz de representar com habilidade e flexibilidade os aspectos físicos, químicos e hidráulicos observados na microbacia. Os parâmetros pH, CE, STD, PT, alcalinidade e E. coli apresentaram os melhores ajustes entre as previsões do modelo e os dados observados para o período chuvoso. Para o período seco, os melhores ajustes foram obtidos para pH, EC, TDS, TP e alcalinidade. Os valores de REMQ foram similares entre os períodos para vazão, SDT e OD. As maiores diferenças foram observadas para os parâmetros pH, CE, NO 3

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Impact Source Determination with Biomonitoring Data in New York State: Concordance with Environmental Data

Cited by 11 publications

References 0 publications

Water-Quality Assessment of Two Slow-Moving Sandy-Bottom Sites on the Saw Mill River, New York

Water-Quality Assessment of Two Slow-Moving Sandy-Bottom Sites on the Saw Mill River, New York

Relação entre padrões de uso e ocupação do solo e qualidade da água em uma bacia hidrográfica urbana

Water quality prediction using the QUAL2Kw model in a small karstic watershed in Brazil

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