Long-Term and Seasonal Aspects of the Water Quality of the River Danube within the Region of Vienna (Austria)

1990 ◽  
Vol 22 (5) ◽  
pp. 51-58 ◽  
Author(s):  
Ch Ludwig ◽  
H. Ranner ◽  
G. Kavka ◽  
W. Kohi ◽  
U. Humpesch
Keyword(s):  
Water Quality ◽  
Data Collection ◽  
Catchment Area ◽  
Sampling Site ◽  
Seasonal Fluctuations ◽  
Data Set ◽  
River Danube ◽  
Seasonal Aspects

Data on water quality variables from 1968 to 1987 are analyzed statistically. The long-terra changes of five selected variables for the section of the River Danube at Vienna are investigated at four different sampling sites, two upstream and two downstream from Vienna. The influence of the efforts made to reduce wastewater inputs within the catchment area at Vienna were examined. Another objective was to obtain information about seasonal fluctuations at one selected sampling site. The quality of the data set is discussed with regard to the practical applicability of the results and suggestions are given for data collection.

Long-term changes in water quality and ecological status of lakes in the Wielkopolska National Park and its buffer zone with special reference to effectiveness of the lakes’ protection

2016 ◽  
Vol 45 (4) ◽  
Author(s):  
Agnieszka E. Ławniczak
Keyword(s):  
Water Quality ◽  
Catchment Area ◽  
National Park ◽  
Ecological Status ◽  
Buffer Zone ◽  
Field Studies ◽  
Long Term Changes ◽  
Protection Strategies

AbstractThis paper evaluates water quality and ecological status of lakes located in the Wielkopolska National Park and its buffer zone. Changes in water quality were analyzed from 1974 to 2012 in order to assess the effectiveness of the protection strategies implemented on the studied lakes since 1957, i.e. the date when the park was established. The ecological status of the lakes was assessed with the use of macrophytes as well as hydromorphological and physicochemical analyses performed in 2012. Changes in water quality of the studied lakes within the last 40 years were analyzed based on available published and unpublished data, as well as field studies. All water bodies are characterized by advanced eutrophication. However, evaluation of the ecological status showed good status of the charophyte-dominated lakes, i.e. Lake Wielkowiejskie and Lake Budzyńskie. Lack of significant differences in physicochemical water qualities between the park and its buffer zone indicated that measures implemented to protect the water, particularly in the park, are ineffective. This study shows that more radical conservation measures are necessary to protect and improve the water quality, not only in WPN and its buffer zone but also in the whole catchment area.

Application the Grey Neural Network to Evaluate the Water Quality of the Yangtze Estuary Wetland

2014 ◽  
Vol 971-973 ◽  
pp. 2180-2185
Author(s):  
Sheng Long Yang
Keyword(s):  
Neural Network ◽  
Water Quality ◽  
Sea Water ◽  
Comprehensive Evaluation ◽  
Sampling Site ◽  
Predictive Ability ◽  
Yangtze Estuary ◽  
Similar Data ◽  
Data Set

Based on the Grey neural network, combine with the sampling data from Yangtze estuary wetland which measured in fifteen sampling site in raising tide and falling tide in May 2010 to intelligent comprehensive evaluation the sea water quality of Yangtze estuary wetland. The results showed that the sea water quality of sampling data wereⅠ.The precision of training and testing data set showed the Grey neural network had good generalization capacity, with good fitting precision and strongly predictive ability. It can be used to similar data set calculation.

scholarly journals Water quality study of the Struma river basin, Bulgaria (1989–1998)

2003 ◽  
Vol 1 (2) ◽  
pp. 121-136 ◽  
Author(s):  
P. Simeonova ◽  
V. Simeonov ◽  
G. Andreev
Keyword(s):  
Water Quality ◽  
Region Of Interest ◽  
Seasonal Patterns ◽  
Latent Factors ◽  
Data Set ◽  
Chemical Indicators ◽  
Main River ◽  
Long Term Trends

AbstractThe present paper deals with an estimation of the water quality of the Struma river. Long-term trends, seasonal patterns and data set structures are studied by the use of statistical analysis. Nineteen sampling sites along the main river stream and different tributaries were included in the study. The sites are part of the monitoring net of the region of interest. Seventeen chemical indicators of the surface water have been measured in the period 1989–1998 in monthly intervals. It is shown that the water quality is relatively stable throughout the monitoring period, which is indicated by a lack of statistically significant trends for many of the sites and by chemical variables. Several seasonal patterns are observed at the sampling sites and four latent factors are identified as responsible for the data set structure.

First flush effects in an urban catchment area in Aalborg

1998 ◽  
Vol 37 (1) ◽  
pp. 251-257 ◽  
Author(s):  
Torben Larsen ◽  
Kirsten Broch ◽  
Margit Riis Andersen
Keyword(s):  
Water Quality ◽  
Catchment Area ◽  
Quality Parameters ◽  
Average Concentration ◽  
First Flush ◽  
Storm Events ◽  
Urban Catchment ◽  
Discharge Measurements ◽  
Quality Measurements

The paper describes the results of measurements from a 2 year period on a 95 hectare urban catchment in Aalborg, Denmark. The results of the rain/discharge measurements include 160 storm events corresponding to an accumulated rain depth of totally 753 mm. The water quality measurements include 15 events with time series of concentration of SS, COD, BOD, total nitrogen and total phosphorus. The quality parameters showed significant first flush effects. The paper discusses whether either the event average concentration or the accumulated event mass is the most appropriate way to characterize the quality of the outflow.

scholarly journals The consequences for stream water quality of long-term changes in landscape patterns: Implications for land use management and policies

2021 ◽  
Vol 109 ◽  
pp. 105679
Author(s):  
António Carlos Pinheiro Fernandes ◽  
Lisa Maria de Oliveira Martins ◽  
Fernando António Leal Pacheco ◽  
Luís Filipe Sanches Fernandes
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Stream Water ◽  
Landscape Patterns ◽  
Land Use Management ◽  
Stream Water Quality ◽  
Long Term Changes

scholarly journals Analysis of The Impact of Industrial Activities Towards River Vacancy Viewed from BODS, CODS, and TSS Using The QUAL2KW Software Method Approach (Case Study: Klampok River, Semarang District)

2020 ◽  
Vol 202 ◽  
pp. 04008
Author(s):  
Nurandani Hardyanti ◽  
Winardi D Nugraha ◽  
Vito Edgar S B
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Water ◽  
Catchment Area ◽  
Industrial Sector ◽  
Industrial Activities ◽  
The Impact ◽  
Method Approach

The industrial sector is one of the important sector in supporting the development of a region. Utilization of land around the river that is used for industrial activities will affect the quality of river water. The river can be polluted by waste personinating from industries that operating around the river. The catchment area that used for industry, agriculture, urban development, and the use of land for making roads (gravel or footpaths) can affect the flow of surface water and sediments that it brings to the river. Waste generated from industrial activities can pollute rivers which are a source of water for daily needs and affect the development of biota in them. This can affect river water quality

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