Identification of Processes and Migration Parameters for Conservative and Reactive Contaminants in the Soil-Water Environment

Sieczka, Anna; Koda, Eugeniusz; Miszkowska, Anna; Osiński, Piotr

doi:10.1007/978-981-13-2221-1_60

Cited by 9 publications

(2 citation statements)

References 10 publications

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“…The charge of ammonium ions is positive, and that of nitrate ions and soil colloids is negative. Therefore, ammonium ions were easily absorbed by soil during migration, and nitrate ions were easier to move [48][49][50]. As a result, the flow-weighted mean NH 4 + -N concentration of the subsurface runoff was lower than that of the surface runoff, while NO 3 − -N was higher (Tables A1 and A2).…”

Section: Critical Factors Affecting Nitrogen Losses From Sloping Farm...mentioning

confidence: 99%

Critical Factors Affecting Water and Nitrogen Losses from Sloping Farmland during the Snowmelt Process

Zhao

Zhang

et al. 2023

Agronomy

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Water and nitrogen losses from farmland during the snowmelt process play a vital role in water and nitrogen management in cold regions. To explore the mechanisms and factors contributing to water and nitrogen loss from different sloping farmlands during the snowmelt period, field experiments were conducted under two slope treatments (8° and 15°), two soil water content (SWC) treatments, and two snow water equivalent (SWE) (5 mm and 10 mm) treatments in a seasonal freezing agricultural watershed of Northeast China. The results showed that during the snowmelt process, SWE was the most important factor affecting water and nitrogen production through the surface and total runoff of the sloping farmland, followed by the slope. The water and nitrogen yield in the high snow (HS) treatments ranged from 1.76 to 8.15 and 1.65 to 12.62 times higher than those in the low snow (LS) treatments. The generation of nitrogen was advanced compared with that of water induced by the preferential production of nitrogen. A higher slope promoted this preferential production function of nitrogen. Enhanced infiltration combined with the preferential yield of nitrogen resulted in a greatly decreased yield of water and nitrogen in the gentle slope and LS (GS_LS) treatments. These findings are valuable for accurately describing the water and nitrogen cycling in seasonally freezing sloping farmland.

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Section: Critical Factors Affecting Nitrogen Losses From Sloping Farm...mentioning

confidence: 99%

Critical Factors Affecting Water and Nitrogen Losses from Sloping Farmland during the Snowmelt Process

Zhao

Zhang

et al. 2023

Agronomy

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“…It is important that with this approach, reducing the cost of monitoring such a river basin will increase the cost of monitoring a river basin with a high anthropogenic impact. There are various indices used to assess and monitor water quality in aquatic systems [5,6]. One of the first systems developed by Horton [7] was the creation of general indices that allow for the systematization of various water quality parameters.…”

Section: Introduction 1water Quality Assessmentmentioning

confidence: 99%

A Study of Assessment and Prediction of Water Quality Index Using Fuzzy Logic and ANN Models

Trach

Kiersnowska

et al. 2022

Sustainability

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Various human activities have been the main causes of surface water pollution. The uneven distribution of industrial enterprises in the territories of the main river basins of Ukraine do not always allow the real state of the water quality to be assessed. This article has three purposes: (1) the modification of the Ukrainian method for assessing the WQI, taking into account the level of negative impact of the most dangerous chemical elements, (2) the modeling of WQI assessment using fuzzy logic and (3) the creation of an artificial neural network model for the prediction of the WQI. The fuzzy logic model used four input variables and calculated one output variable (WQI). In the final stage of the study, six ANN models were analyzed, which differed from each other in various loss function optimizers and activation functions. The optimal results were shown using an ANN with the softmax activation function and Adam’s loss function optimizer (MAPE = 9.6%; R2 = 0.964). A comparison of the MAPE and R2 indicators of the created ANN model with other models for assessing water quality showed that the level of agreement between the forecast and target data is satisfactory. The novelty of this study is in the proposal to modify the WQI assessment methodology which is used in Ukraine. At the same time, the phased and joint use of mathematical tools such as the fuzzy logic method and the ANN allow one to effectively evaluate and predict WQI values, respectively.

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Study on the zinc ions binding to human lactoferrin

Rogowska

Pryshchepa

Som

et al. 2023

Journal of Molecular Structure

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Identification of Processes and Migration Parameters for Conservative and Reactive Contaminants in the Soil-Water Environment

Cited by 9 publications

References 10 publications

Critical Factors Affecting Water and Nitrogen Losses from Sloping Farmland during the Snowmelt Process

Critical Factors Affecting Water and Nitrogen Losses from Sloping Farmland during the Snowmelt Process

A Study of Assessment and Prediction of Water Quality Index Using Fuzzy Logic and ANN Models

Study on the zinc ions binding to human lactoferrin

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