scholarly journals Modelling of the Effect of Drained Peat Soils to Water Quality Using MACRO and SOILN Models

Proceedings ◽  
2018 ◽  
Vol 2 (11) ◽  
pp. 619 ◽  
Author(s):  
Anatoli Vassiljev ◽  
Ivar Annus ◽  
Nils Kändler ◽  
Katrin Kaur
Keyword(s):  
Water Quality ◽  
Significant Source ◽  
Agricultural Activity ◽  
Large Share ◽  
Peat Soils ◽  
Nitrate Concentrations ◽  
Nitrogen Concentrations ◽  
Improve Water Quality ◽  
Model Water

Investigations have indicated that in addition to traditional sources, drained peat soils can be considered as a significant source of nitrogen in Estonia. This changes the measures to improve water quality in rivers. At present modelling of nitrogen in rivers has been concentrated on influence of agricultural activity. However, drained peat can increase nitrogen concentrations even without fertilization and farming activities. This investigation describes the attempt to model water quality in the watershed with large share of drained peat soils. A good alignment between measured and modelled nitrate concentrations using the MACRO and the SOILN for MACRO models was shown.

scholarly journals Modelling of nitrogen concentrations in water from drained peat soils

2019 ◽  
Vol 69 (3) ◽  
pp. 288-297 ◽  
Author(s):  
Anatoli Vassiljev ◽  
Ivar Annus ◽  
Nils Kändler ◽  
Katrin Kaur
Keyword(s):  
Water Quality ◽  
Significant Source ◽  
Agricultural Activity ◽  
Large Share ◽  
Peat Soils ◽  
Nitrate Concentrations ◽  
Nitrogen Concentrations ◽  
Improve Water Quality ◽  
Model Water

Abstract In addition to traditional sources, drained peat soils have been found to be a significant source of nitrogen in Estonia. As a result, supplementary measures are required to improve water quality in rivers. Modelling is a widespread method to select means for improving water quality. At present, modelling of nitrogen in rivers has been concentrated on the influence of agricultural activity. However, drained peat can increase nitrogen concentrations even without fertilization and farming activities. This investigation describes the attempt to model water quality in the watershed with a large share of drained peat soils. The results showed a good alignment between measured and modelled nitrate concentrations using the MACRO and the SOILN for MACRO models. Some measures to improve water quality were tested using these models.

Spatio-temporal Variations in Water Quality Parameter Trends in River Waters

2018 ◽  
Vol 69 (10) ◽  
pp. 2940-2952 ◽  
Author(s):  
Martina Zelenakova ◽  
Pavol Purcz ◽  
Radu Daniel Pintilii ◽  
Peter Blistan ◽  
Petr Hlustik ◽  
...  
Keyword(s):  
Water Quality ◽  
Chemical Oxygen Demand ◽  
Quality Indicators ◽  
Water Resource Management ◽  
Oxygen Demand ◽  
Temporal Variations ◽  
Water Quality Parameter ◽  
Agricultural Activity ◽  
Water Quality Indicators ◽  
Nitrite Nitrogen

Evaluating trends in water quality indicators is a crucial issue in integrated water resource management in any country. In this study eight chemical and physical water quality indicators were analysed in seven river profiles in the River Laborec in eastern Slovakia. The analysed water quality parameters were biochemical oxygen demand (BOD5), chemical oxygen demand (CODCr), pH, temperature (t), ammonium nitrogen (NH4+-N), nitrite nitrogen (NO2--N), nitrate nitrogen (NO3--N), and total phosphorus (TP). Data from the monitored indicators were provided by the Ko�ice branch of the Slovakian Water Management Company, over a period of 15 years from 1999 to 2013. Mann�Kendall non-parametric statistical test was used for the trend analysis. Biochemical and chemical oxygen demand, ammonium and nitrite nitrogen content exhibit decreasing trends in the River Laborec. Decreasing agricultural activity in the area has had a significant impact on the trends in these parameters. However, NO2--N was the significant parameter of water quality because it mostly exceeds the limit value set in Slovak legislation, Regulation No. 269/2010 Coll. In addition, water temperature revealed an increasing trend which could be caused by global increase in air temperature. These results indicate that human activity significantly impacts the water quality.

Action research to improve water quality in Canada’s Rideau Canal: how do local groups reshape environmental governance?

2021 ◽  
pp. 1-20
Author(s):  
Isha Mistry ◽  
Christine Beaudoin ◽  
Jyoti Kotecha ◽  
Holly Evans ◽  
Manuel Stevens ◽  
...  
Keyword(s):  
Water Quality ◽  
Action Research ◽  
Environmental Governance ◽  
Improve Water Quality ◽  
Rideau Canal

scholarly journals Statistical Modeling of Fine Sediments Dredged Using a Variable Area Dredging Suction Head to Improve Water Quality

Hydrology ◽  
2021 ◽  
Vol 8 (3) ◽  
pp. 98
Author(s):  
Leigh A. Provost ◽  
Robert Weaver ◽  
Nezamoddin N. Kachouie
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Sedimentation Rates ◽  
Agricultural Lands ◽  
Design Efficiency ◽  
Fine Sediments ◽  
Grain Sizes ◽  
Fine Grain ◽  
Sediment Sampling ◽  
Improve Water Quality

The changing climate affects the agricultural lands, and, in turn, the changes in agricultural lands alter the watershed. A major concern regarding waterbodies is the increased sedimentation rates due to climate change. To improve the water quality, it is crucial to remove fine sediments. Using current environmental dredging methods is challenging because of the sediment volumes that must be dredged, the absence of nearby disposal sites, and the shoreline infrastructure at the dredging locations. To address these issues, we used a surgical dredging method with a variable area suction head that can easily maneuver around the docks, pilings, and other infrastructures. It can also isolate the fine grain material to better manage the dredged volumes in the seabed where nutrients are typically adhered. To this end, a statistical analysis of the dredged samples is essential to improve the design efficiency. In this work, we collected several samples using a variable area suction head with different design settings. The collected samples using each design setting were then used to model the distributions of the different grain sizes in the dredged sediments. The proposed statistical model can be effectively used for the prediction of sediment sampling outcomes to improve the gradation of the fine sediments.

scholarly journals Growth of Legionella during COVID-19 lockdown stagnation

2021 ◽  
Vol 7 (1) ◽  
pp. 10-15
Author(s):  
William J. Rhoads ◽  
Frederik Hammes
Keyword(s):  
Water Quality ◽  
Communication Strategies ◽  
Quality Research ◽  
Improve Water Quality

While “avoiding stagnation” has been the mantra of building water experts, support for how this terminology is used is not overly convincing. Carefully nuanced COVID stagnation studies can improve water quality research and communication strategies.

Land use conversion to improve water quality in high DIN risk, low-lying sugarcane areas of the Great Barrier Reef catchments

2021 ◽  
Vol 167 ◽  
pp. 112373
Author(s):  
Nathan J. Waltham ◽  
Carla Wegscheidl ◽  
Adrian Volders ◽  
James C.R. Smart ◽  
Syezlin Hasan ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Great Barrier Reef ◽  
Barrier Reef ◽  
Land Use Conversion ◽  
Improve Water Quality
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