Recent changes in heavy metal contamination at near-channel positions of the Lahn River, central Germany

Martin, Chester

doi:10.1016/j.geomorph.2011.11.010

Cited by 13 publications

(17 citation statements)

References 54 publications

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“…Bai et al (2011) reported that the fluvial transport via the Pearl River contributes 8293 t of heavy metal input to the PRD every year. This finding is consistent with previous reports that the heavy metal concentrations in surface waters positively correlate with those on downstream floodplains (Grosbois et al 2006;Martin 2012). The ORs were 12.891 and 10.753 for distance from the city center and distance from the railway, respectively.…”

Section: Model Interpretationsupporting

confidence: 92%

Simulation of changes in heavy metal contamination in farmland soils of a typical manufacturing center through logistic-based cellular automata modeling

Qiu

Wang

et al. 2015

Environ Sci Pollut Res

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A customized logistic-based cellular automata (CA) model was developed to simulate changes in heavy metal contamination (HMC) in farmland soils of Dongguan, a manufacturing center in Southern China, and to discover the relationship between HMC and related explanatory variables (continuous and categorical). The model was calibrated through the simulation and validation of HMC in 2012. Thereafter, the model was implemented for the scenario simulation of development alternatives for HMC in 2022. The HMC in 2002 and 2012 was determined through soil tests and cokriging. Continuous variables were divided into two groups by odds ratios. Positive variables (odds ratios >1) included the Nemerow synthetic pollution index in 2002, linear drainage density, distance from the city center, distance from the railway, slope, and secondary industrial output per unit of land. Negative variables (odds ratios <1) included elevation, distance from the road, distance from the key polluting enterprises, distance from the town center, soil pH, and distance from bodies of water. Categorical variables, including soil type, parent material type, organic content grade, and land use type, also significantly influenced HMC according to Wald statistics. The relative operating characteristic and kappa coefficients were 0.91 and 0.64, respectively, which proved the validity and accuracy of the model. The scenario simulation shows that the government should not only implement stricter environmental regulation but also strengthen the remediation of the current polluted area to effectively mitigate HMC.

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Section: Model Interpretationsupporting

confidence: 92%

Simulation of changes in heavy metal contamination in farmland soils of a typical manufacturing center through logistic-based cellular automata modeling

Qiu

Wang

et al. 2015

Environ Sci Pollut Res

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“…The mean trace metal concentrations noted here along the Dill River exceed values I found at near-channel positions along the Lahn River (Martin, 2004(Martin, , 2012. Mean trace metal concentrations from 28 near-channel sites in the Marburg to Wetzlar reach of the Lahn River, which is upstream of the Lahn River confluence with the Dill River at Wetzlar, are summarized in Table 5 …”

Section: Trace Metal Storage In the Dill And Lahn River Valleysmentioning

confidence: 43%

“…Historically, steel mills also operated in the upper part of the Dill River watershed (Fröhlich et al, 2008). Preliminary sampling of channel banks along the Dill River revealed Cu, Pb, and Zn concentrations above A C C E P T E D M A N U S C R I P T ACCEPTED MANUSCRIPT 5 those found in similar geomorphic positions along the Lahn River (Martin, 2012). The research reported here focuses on trace metal storage in additional near-channel sites along a 25-km reach of the Dill River and uses trace metal vertical trends and radiocarbon ages to document recent floodplain sedimentation.…”

Section: Accepted Manuscriptmentioning

confidence: 96%

“…My previous research documents anthropogenic trace metal storage in floodplain sediments along a 75-km reach of the Lahn River, examining the geographic pattern of trace metal storage across the floodplain (Martin, 1997(Martin, , 2000 and the change in near-channel storage of trace metals since the mid-1990s (Martin, 2009(Martin, , 2012. Along the Lahn River downstream of its confluence with the Dill River in Wetzlar, trace metal concentrations increase (Martin, 2012). Although the Lahn River has no history of mining upstream of Wetzlar, mining operations were present in the Lahn River downstream from Wetzlar and in the upper Dill River from the 1830s until the last mine closed in 1983; the peak of mining activity in the Dill and lower Lahn River valleys was between 1870 and 1945 (Meyer, 2007).…”

Section: Accepted Manuscriptmentioning

confidence: 99%

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Trace metal storage in recent floodplain sediments along the Dill River, central Germany

Martin

2015

Geomorphology

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“…Dessa forma, diversos pesquisadores têm dispensado esforços na quantificação e comportamento de metais nos ecossistemas aquáticos (RYBICKA et al, 2005;PERTSEMLI e VOUTSA, 2007;KAUSHIK et al, 2009;LI e ZHANG, 2010a;MECHE et al, 2010;MARTIN, 2012).…”

Section: Introductionunclassified

Distribuição De Metais Nas Águas Do Rio Cabeça, Tributário Na Bacia Do Rio Corumbataí, Sp

Morais

Tauk-Tornisielo

Santos

et al. 2012

RHE

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RESUMOAmostras de água foram coletadas, com frequência mensal no período de abril de 2007 a março de 2009, em cinco pontos de amostragem no rio Cabeça e dois pontos no rio Passa Cinco, ambos tributários na bacia do rio Corumbataí, SP, para avaliar a distribuição dos metais Al, Cd, Cr, Cu, Fe, Mn, Ni, Pb, Zn, Ca e Mg. Esses elementos foram quantificados por meio de espectrometria de emissão atômica e os resultados foram analisados pela técnica estatística multivariada (análise de componentes principais), relacionando os valores com os períodos seco e chuvoso. Os metais Cr, Cu e Ni não foram detectados e o Cd e o Pb foram detectados em 8,3% e 10,1% das amostras, respectivamente, e os valores estavam acima do permitido pela Resolução CONAMA 357/2005 para rios de classe 2. Também estavam em desacordo com essa legislação os valores de Fe e 36,9% dos valores encontrados para o Al. Esses dois metais são fortemente influenciados pelas características pedológicas da área estudada. As concentrações de Zn não extrapolaram os limites, mas a presença desse elemento pode estar relacionada com a falta de matas ciliares e intensa ocupação agrícola, principalmente com a cultura canavieira. O Mn teve seus valores abaixo do limite estabelecido pela legislação vigente, com exceção de seis amostras. Os maiores valores de Ca foram observados no período chuvoso, nos pontos de amostragens situados em áreas de exploração de calcário dolomítico e cultivo de cana-de-açúcar na qual a calagem é frequente.

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Recent changes in heavy metal contamination at near-channel positions of the Lahn River, central Germany

Cited by 13 publications

References 54 publications

Simulation of changes in heavy metal contamination in farmland soils of a typical manufacturing center through logistic-based cellular automata modeling

Simulation of changes in heavy metal contamination in farmland soils of a typical manufacturing center through logistic-based cellular automata modeling

Trace metal storage in recent floodplain sediments along the Dill River, central Germany

Distribuição De Metais Nas Águas Do Rio Cabeça, Tributário Na Bacia Do Rio Corumbataí, Sp

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