Integration of long-term fish kill data with ambient water quality monitoring data and application to water quality management

1990 ◽  
Vol 14 (3) ◽  
pp. 389-396 ◽  
Author(s):  
Alan H. Trim ◽  
James M. Marcus
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
Water Quality Management ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Monitoring Data ◽  
Ambient Water ◽  
Fish Kill

A Nonparametric Long-Term Trend Analysis Using Water Quality Monitoring Data in Nam-River

2018 ◽  
Vol 27 (11) ◽  
pp. 1029-1048
Author(s):  
Kang-Young Jung ◽  
Myojeong Kim ◽  
Kwang Duck Song ◽  
Kwon Ok Seo ◽  
Seong Jo Hong ◽  
...  
Keyword(s):  
Water Quality ◽  
Trend Analysis ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Monitoring Data ◽  
Term Trend ◽  
Long Term Trend

Combining Ecohydrological Catchment Modelling and Water Quality Monitoring to Assess Surface Water Pollution in the Swist River Basin

2020 ◽  
Author(s):  
Alexander Ahring ◽  
Marvin Kothe ◽  
Christian Gattke ◽  
Ekkehard Christoffels ◽  
Bernd Diekkrüger
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Surface Waters ◽  
Water Quality Monitoring ◽  
Pollutant Emissions ◽  
Quality Monitoring ◽  
Monitoring Data ◽  
Quality Data

<p>Inland surface waters like rivers, streams, lakes and reservoirs are subject to anthropogenic pollutant emissions from various sources. These emissions can have severe negative impacts on surface water ecology, as well as human health when surface waters are used for recreational activities, irrigation of cropland or drinking water production. In order to protect aquatic ecosystems and freshwater resources, the European Water Framework Directive (WFD) sets specific quality requirements which the EU member states must meet until 2027 for every water body.</p><p>Implementing effective measures and emission control strategies requires knowledge about the important emission pathways in a given river basin. However, due to the abundance of pollution sources and the heterogeneity of emission pathways in time and space, it is not feasible to gain this knowledge via water quality monitoring alone. In our study, we aim to combine SWAT ecohydrological modelling and long term water quality monitoring data to establish a spatially differentiated nitrogen emission inventory on the sub-catchment scale. SWAT (short for Soil and Water Assessment Tool) is a semi-distributed, dynamic and process-driven watershed model capable of simulating long term hydrology as well as nutrient fluxes on a daily time step.</p><p>The study area is the Swist river basin in North Rhine-Westphalia (Germany). Belonging to the Rhine river system, the Swist is the largest tributary of the Erft River and drains a basin area of approximately 290 km². As part of its legal obligations and research activities, the Erftverband local waterboard collects a large variety of long term monitoring data in the Swist river catchment, which is available for this study. This includes operational data from the wastewater treatment plants in the watershed, discharge data from four stream gauging stations, river water quality data from continuous and discontinuous monitoring, groundwater quality data as well as quality data from surface, sub-surface and tile drainage runoff from various land uses.</p><p>Our contribution will be made up of two equal parts: First, we will present our water quality monitoring activities in the catchment and the related data pool outlined above, with special emphasis on recent monitoring results from agricultural tile drainages. Apart from nutrients and other pollutants, the data suggests considerable inputs of herbicide transformation products like Chloridazon-Desphenyl (maximum concentration measured: 15 µg/l) via this pathway. Second, we will explain how we integrate the monitoring data into the SWAT simulations and how we tackle related challenges like parameter equifinality (meaning that multiple parameter sets can yield similar or identical model outputs). The overall goal is to take all possible emission pathways into consideration, including those often neglected in past SWAT studies, like tile drainages and combined sewer overflows (CSO). As the Swist catchment is affected by groundwater extraction due to lignite mining in the Lower Rhine Bay area, we will discuss how this is considered during SWAT model setup and calibration, and will present first simulation results concerning catchment hydrology.</p>

scholarly journals Viral and Bacterial Fecal Indicators in Untreated Wastewater across the Contiguous United States Exhibit Geospatial Trends

2020 ◽  
Vol 86 (8) ◽  
Author(s):  
Asja Korajkic ◽  
Brian McMinn ◽  
Michael P. Herrmann ◽  
Mano Sivaganesan ◽  
Catherine A. Kelty ◽  
...  
Keyword(s):  
United States ◽  
Water Quality ◽  
Quality Management ◽  
Genetic Markers ◽  
Air Temperature ◽  
Water Quality Management ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
National Scale ◽  
Content Type

ABSTRACT Cultivated fecal indicator bacteria such as Escherichia coli and enterococci are typically used to assess the sanitary quality of recreational waters. However, these indicators suffer from several limitations, such as the length of time needed to obtain results and the fact that they are commensal inhabitants of the gastrointestinal tract of many animals and have fate and transport characteristics dissimilar to pathogenic viruses. Numerous emerging technologies that offer same-day water quality results or pollution source information or that more closely mimic persistence patterns of disease-causing pathogens that may improve water quality management are now available, but data detailing geospatial trends in wastewater across the United States are sparse. We report geospatial trends of cultivated bacteriophage (somatic, F+, and total coliphages and GB-124 phage), as well as genetic markers targeting polyomavirus, enterococci, E. coli, Bacteroidetes, and human-associated Bacteroides spp. (HF183/BacR287 and HumM2) in 49 primary influent sewage samples collected from facilities across the contiguous United States. Samples were selected from rural and urban facilities spanning broad latitude, longitude, elevation, and air temperature gradients by using a geographic information system stratified random site selection procedure. Most indicators in sewage demonstrated a remarkable similarity in concentration regardless of location. However, some exhibited predictable shifts in concentration based on either facility elevation or local air temperature. Geospatial patterns identified in this study, or the absence of such patterns, may have several impacts on the direction of future water quality management research, as well as the selection of alternative metrics to estimate sewage pollution on a national scale. IMPORTANCE This study provides multiple insights to consider for the application of bacterial and viral indicators in sewage to surface water quality monitoring across the contiguous United States, ranging from method selection considerations to future research directions. Systematic testing of a large collection of sewage samples confirmed that crAssphage genetic markers occur at a higher average concentration than key human-associated Bacteroides spp. on a national scale. Geospatial testing also suggested that some methods may be more suitable than others for widespread implementation. Nationwide characterization of indicator geospatial trends in untreated sewage represents an important step toward the validation of these newer methods for future water quality monitoring applications. In addition, the large paired-measurement data set reported here affords the opportunity to conduct a range of secondary analyses, such as the generation of new or updated quantitative microbial risk assessment models used to estimate public health risk.

Basic approaches in design of water quality monitoring networks

1994 ◽  
Vol 30 (10) ◽  
pp. 49-56 ◽  
Author(s):  
N. B. Harmancioglu ◽  
N. Alpaslan
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
Water Quality Management ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Quality Data ◽  
Monitoring Networks ◽  
Design Procedures ◽  
Water Quality Variables ◽  
The Impact

The general trend in water quality management has been to gather and use information on water quality variables for purposes of planning, design, and operation of water resources systems and wastewater treatment. However, the growing concern for environmental quality has given rise to a new trend in respect of the impact of water quality variables on human health and life conditions. Thus, there is the need for better understanding of how water quality processes evolve both in time and space under natural and man-made conditions. This accentuates the need for more efficient practices of monitoring to satisfy the objectives of water quality management plans. Upon this need, the adequacy of collected water quality data and the performance of existing monitoring networks have been seriously evaluated within the last decade. Problems observed in available data and shortcomings of current networks have led researchers to focus more critically on design procedures used. This paper examines the state-of-the-art in design of water quality monitoring networks. Available design procedures are discussed with respect to three basic features of a network: selection of sampling sites, sampling frequencies, and variables to be sampled. In conclusion, recommendations are presented for improvement of current approaches to the design problem.

scholarly journals Advanced river water quality monitoring stations at the Moravica river in Serbia

2006 ◽  
Vol 4 (2) ◽  
pp. 91-100
Author(s):  
Dj. Djordjevic ◽  
D. Milicevic ◽  
B. Velickovic ◽  
G. Gruber ◽  
H. Kainz ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
River Water ◽  
New Technologies ◽  
Water Quality Management ◽  
Water Quality Monitoring ◽  
River Water Quality ◽  
Quality Monitoring ◽  
Monitoring Scheme ◽  
Monitoring Stations

The overall objective of this project is the immediate enhancement of the water quality management in Serbia as an example of excellence for the South East Balkan region. Therefore, close links between the local and regional economy and the Serbian Higher Education sector will be created through technology and knowledge transfer. New technologies like GPRS Technology to realize data transfer from distance hydro measure stations will be introduced in the water quality monitoring management. Outcomes of the project are a measurement program for Advanced River Water Quality Monitoring, a pilot station and operator staff for the realization of the monitoring scheme devices including GPRS-Technology for the monitoring scheme, a monitoring station to conduct a test run, a quality management scheme, training measures for operators of monitoring stations, analyzed data from measurement program and dissemination and networking measures like a final international conference. The project is funded within the scope of the Tempus Program (Tempus Cards Structural and Complementary Projects) of the EU.

Systems view of integrated water quality monitoring within the requirements of the new national water policy in South Africa

1998 ◽  
Vol 38 (11) ◽  
pp. 141-148 ◽  
Author(s):  
P. Marjanovic ◽  
M. Miloradov
Keyword(s):  
South Africa ◽  
Water Quality ◽  
Water Policy ◽  
Systems Approach ◽  
Water Quality Management ◽  
Water Quality Monitoring ◽  
Point Sources ◽  
Quality Monitoring ◽  
Efficient Manner ◽  
National Water

The new National water policy will change the way water quality is managed in South Africa. The paper considers the water policy and the repercussions it will have for water quality monitoring in South Africa. Using the systems approach the paper discusses an integrated water quality monitoring system for ambient water quality and point and non point sources of aquatic pollution. The proposed methodology makes possible continuos assessment of water quality in an efficient manner so as to support water quality management in South Africa.

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