Estimation of pyrite oxidation rate by sulfate ion discharged from a catchment

Igarashi, Toshifumi; Hataya, Ryuta; Oyama, Tadasu

doi:10.1016/s0375-6742(02)00275-3

Cited by 11 publications

(2 citation statements)

References 36 publications

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“…Empirically, river discharge and pollution load have 1) , where the concentration of the substance increases with the increase in discharge with an index b while the discharge coefficient is greater than 1, and decreases with b being less than 1 [42][43][44][45].…”

Section: Data Collection During the Period Of Studymentioning

confidence: 99%

Applicability Evaluation of the Hydrological Image and Convolution Neural Network for Prediction of the Biochemical Oxygen Demand and Total Phosphorus Loads in Agricultural Areas

Song¹

2020

Agriculture

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This study employed a convolution neural network (CNN) model, hitherto used only for solving classification problems, with two-dimensional input data to predict the pollution loads and evaluate the CNN model’s applicability. A CNN model generally requires two-dimension input data, such as photographs in previous studies. However, this study’s CNN model necessitates the numerical images that reflect hydrological phenomena due to the nature of the study. A hydrological image was used as the input data for the CNN model in this study to address this issue. The last layer of the CNN model was also transformed into a linear function to derive the continuous variable. As a result, the Pearson correlation coefficient, which represents the relationship between the measured and predicted values, demonstrated a Biochemical Oxygen Demand (BOD) load model of 0.94 and a Total Phosphorus (TP) load model of 0.87. Nash–Sutcliffe efficiency was used to evaluate the model performance; the BOD load model was 0.83, while the TP load model was 0.79, respectively, indicating good performance. These results demonstrate that the hydrological images led to stable model learning and generalization, and the proposed CNN model is suitable for predicting the pollution load, with potential future applications in various fields.

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Section: Data Collection During the Period Of Studymentioning

confidence: 99%

Applicability Evaluation of the Hydrological Image and Convolution Neural Network for Prediction of the Biochemical Oxygen Demand and Total Phosphorus Loads in Agricultural Areas

Song¹

2020

Agriculture

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“…During laboratory experiments of pyrite leaching, it appears that the dissolution rate decreases with time (Williamson and Rimstidt, 1994;Igarashi et al, 2003;Weisener et al, 2003). With time, the aging of mineral decreases the contact surface and the original behaviour of pyrite dissolution cannot be re-established (Jerz and Rimstidt, 2004).…”

Section: Relationship Between Physical Erosion and Chemical Weatheringmentioning

confidence: 99%

Variability of the groundwater sulfate concentration in fractured rock slopes: a tool to identify active unstable areas

Binet

Spadini

Bertrand

et al. 2009

Hydrol. Earth Syst. Sci.

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Abstract. Water chemical analysis of 100 springs from the Orco and the Tinée valleys (Western Italy and SouthernFrance) and a 7 year groundwater chemistry monitoring of the 5 main springs were performed. All these springs drain from crystalline rock slopes. Some of these drain from currently active gravitational slope deformations.All groundwaters flowing through presently unstable slopes show anomalies in the sulfate concentrations compared to stable aquifers. Particularly, an increase of sulfate concentrations was observed repeatedly after each of five consecutive landslides on the La Clapière slope, thus attesting to the mechanical deformations are at the origin of this concentration change. Significant changes in the water chemistry are produced even from slow (mm/year) and low magnitude deformations of the geological settings.Pyrite nuclei in open fractures were found to be coated by iron oxides. This suggests that the increase of dissolved sulfate relates to oxidative dissolution of Pyrite. Speciation calculations of Pyrite versus Gypsum confirmed that observed changes in the sulfate concentrations is predominantly provided from Pyrite. Calculated amounts of dissolved minerals in the springs water was obtained through inverse modelling of the major ion water analysis data. It is shown that the concentration ratio of calculated dissolved Pyrite versus calculated dissolved gneiss rock allows us to unambiguously Correspondence to: S. Binet (stephane.binet@univ-orleans.fr) distinguish water from stable and unstable areas. This result opens an interesting perspective for the follow-up of sliding or friction dynamic in landslides or in (a) seismic faults.

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Discharged Sulfuric Acid from Peatland to River System

Haraguchi

2016

Tropical Peatland Ecosystems

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Estimation of pyrite oxidation rate by sulfate ion discharged from a catchment

Cited by 11 publications

References 36 publications

Applicability Evaluation of the Hydrological Image and Convolution Neural Network for Prediction of the Biochemical Oxygen Demand and Total Phosphorus Loads in Agricultural Areas

Applicability Evaluation of the Hydrological Image and Convolution Neural Network for Prediction of the Biochemical Oxygen Demand and Total Phosphorus Loads in Agricultural Areas

Variability of the groundwater sulfate concentration in fractured rock slopes: a tool to identify active unstable areas

Discharged Sulfuric Acid from Peatland to River System

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