Analysis of urban land cover influence to organic carbon and nutrients in surface water via impacted groundwater

Puczko, Katarzyna; Jekatierynczuk‐Rudczyk, Elżbieta

doi:10.1007/s10661-020-8095-7

Cited by 12 publications

(14 citation statements)

References 44 publications

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“…The catchments of the urban tributaries of Suceava River in the study area have surfaces belonging to the built-up area of Suceava city that increase the temperature of urban tributaries up to 2 • C [36] above the water temperature of Suceava River at the upstream station, leading to changes in the values of the water quality parameters due to the modified chemical reactivity and water viscosity. Built-up areas have a negative impact on water quality of rivers [49,50] and groundwaters [51]. Groundwater in Suceava city metropolitan area is documented in a few studies that highlight its pollution due to various causes such as landfill leachates or consistent leakages from the sewerage [34,52] and one can assume that groundwater contributes to the degrading of streamwater quality in Suceava city area.…”

Section: Resultsmentioning

confidence: 99%

Water Quality Index of Suceava River in Suceava City Metropolitan Area

Briciu

Graur

Oprea

2020

Water

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The water quality of rivers worldwide is of persistent interest due to its impact on human life. Five streamwater quality parameters of Suceava River were monitored in 2019 upstream and downstream of Suceava city, Romania: dissolved oxygen, specific conductivity, pH, oxidation-reduction potential, and temperature. Data was recorded at a high temporal frequency, every hour, and produced Water Quality Index (WQI) time series of similar resolution. Our additive WQI has variants with particular advantages. Water quality of Suceava city exhibits a diurnal cycle. Upstream, WQI values indicate a quasi-permanent good water quality; downstream, the water quality oscillates around the average WQI value because of the various sources of water contaminants, especially the wastewaters from the wastewater treatment plant. Parameters from this point source of pollution are taken into account to explain the decaying streamwater quality towards the end of 2019. WQI is useful for detecting time intervals when water self-purification events have a high chance of occurrence.

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Section: Resultsmentioning

confidence: 99%

Water Quality Index of Suceava River in Suceava City Metropolitan Area

Briciu

Graur

Oprea

2020

Water

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“…Most river valleys in Białystok were engineering modified, and the water flow was disturbed. The quality of surface water has been significantly transformed 12 . However, the rivers still play an important role in the city.…”

Section: Discussionmentioning

confidence: 99%

“…The Biała river and its tributaries are still characterised by poor water quality, with elevated concentrations of nitrogen, phosphorus, chloride, iron and sodium 7,12,16 . The research by Ahn et al 44 shows that the increase of water pollution in urban areas may be multi-fold as compared to the quality of natural waters.…”

Section: Discussionmentioning

confidence: 99%

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Extreme Hydro-Meteorological Events Influence to Water Quality of Small Rivers in Urban Area: A Case Study in Northeast Poland

Puczko

Jekatierynczuk‐Rudczyk

2020

Sci Rep

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This paper presents an impact of hydro-meteorological extreme events and urban catchment to water quality in small rivers in Białystok (Poland). The results from a five-year study have taken into account droughts, continuous precipitation, and storm precipitation causing flash floods. Extreme hydro-meteorological events has a different impact on the physical and chemical parameters of water. It was found that the largest change in water quality occurs on the 2nd day after the rainfall and changed concentration of some chemical parameters persists for a long time. The majority but, what's important, not all of them are diluted after floods and concentrated after droughts. Flash flooding results in a large increase concentrations of DOC and selected forms of phosphorus. Higher values of EC, Eh, Mg 2+ , HCO 3-, Cl-, SiO 3 2-, NO 3-N, TN were observed during drought compared to the average values from 2014-2018. A high degree of naturalness of the river valley and increased water retention results in a decreased concentration of NH 4 +-N, DOC and phosphorus forms. The buffer zone plays an important role in limiting the inflow of pollutants and nutrients from the catchment area. That is why it is worth undertaking restoration of river valleys in urban areas. A growing interest in extreme weather events is reflected in many papers examined rainfall, flooding, heat, and drought. The research encompass all continents, but less than 10% of studies were focused in urban areas. This is surprising because urbanized areas are most exposed to hydrometeorological extremes due to the high concentration of people and infrastructure 1. Extreme events are defined across six major disciplines that examine them (climatology, earth science, hydrology, ecology, engineering and social science) 1. In our work, we focus on the definition, which is based on the assignment of any flow amplitude thresholds that identify floods and low flows in such a way that exceeding these thresholds is understood as the beginning of an extreme hydrological event. Floods resulting from storm precipitation refer to zone of high water levels. Floods resulting from continuous precipitation refer to above average multi-year flows. Continuous precipitation causes a slight increase in water levels in the river, but significantly affects its quality 2. The analysis of no-rain periods concerns the zone of low water levels. Extreme hydro-meteorological events, such as heavy precipitations or lack thereof, floods and droughts, are becoming more intense and frequent due to climate change and can strongly impact water quality 3. Most studies focus on the amount of water, on whether it is too little or too much 4 , but there also numerous studies on the effects of climate extremes on water quality. It is common knowledge that urbanisation drastically affects changes in river hydro-morphology and water quality. The problem of extreme hydro-meteorological phenomena is intensifying in the area of changing climatic conditions 5. Urbanisation affects the change of the water...

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“…Although in situ measurements provide accurate results, they require a large amount of time and cost [5], are labor-intensive, and do not provide satisfactory results on temporal and spatial ranges [12]. Furthermore, water quality is not constant along the water surface [13] or in different seasons [4], [13]. These limitations are thus significant obstacles for water quality cal and non-optical water quality parameters with accurate results using Sentinel-2A data.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Predictive Model for Water Quality Monitoring Based on Sentinel-2A L1C Data

Hassan¹,

Goher²,

Shaheen³

et al. 2021

IEEE Access

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Monitoring water quality is an important challenge in both developed and developing countries. Remote sensing data can form a highly frequent dataset with acceptable spatial coverage that can be used to remotely monitor water quality. This paper presents a novel automated model for remotely monitoring water quality to address the problem of insufficient samples and save the time and cost of sample collection. The proposed model estimates both optical and non-optical water quality parameters via Sentinel-2A data. A bio-inspired hybrid model of a Binary Whale Optimization Algorithm (BWOA) and Artificial Neural Network (ANN) (BWOA-ANN) is applied to determine the relationship between extracted reflectance values from Sentinel-2A images and analyzed samples. The novelty of this model is to solve two main problems of remote water quality monitoring: poor applicability and low non-optical parameter estimation accuracy. For the first problem, a proposed fully automated model with band selection using the BWOA to automatically select the optimal features (Sentinel-2A bands) that are suitable for each water quality parameter. The second problem is addressed by automatically detecting the relationship between non-optical parameters, such as the total phosphorus, and optical parameters, such as chlorophyll-a. Three datasets with different locations, seasons, and parameters were selected to test the proposed BWOA-ANN. The experimental results demonstrated good regression with a mean R 2 value of 0.916 for optical parameters and 0.890 for non-optical parameters. The proposed model was found to outperform the ANN with an R 2 value higher by 40% and 52% for the optical and non-optical parameters, respectively.

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Analysis of urban land cover influence to organic carbon and nutrients in surface water via impacted groundwater

Cited by 12 publications

References 44 publications

Water Quality Index of Suceava River in Suceava City Metropolitan Area

Water Quality Index of Suceava River in Suceava City Metropolitan Area

Extreme Hydro-Meteorological Events Influence to Water Quality of Small Rivers in Urban Area: A Case Study in Northeast Poland

Hybrid Predictive Model for Water Quality Monitoring Based on Sentinel-2A L1C Data

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