Water Quality in the Lakes and Reservoirs of Romania

1998 ◽  
pp. 153-157
Author(s):  
Teodor L. Constantinescu
Keyword(s):  
Water Quality ◽  
Lakes And Reservoirs

Prediction of water quality in lakes and reservoirs. Part I — Model description

1997 ◽  
Vol 96 (1-3) ◽  
pp. 91-110 ◽  
Author(s):  
David P. Hamilton ◽  
S.Geoffrey Schladow
Keyword(s):  
Water Quality ◽  
Model Description ◽  
Lakes And Reservoirs

Water Quality and Ecosystem Modelling: Practical Application on Lakes and Reservoirs

2021 ◽  
pp. 173-189
Author(s):  
Rafał Ulańczyk ◽  
Bartosz Łozowski ◽  
Andrzej Woźnica ◽  
Damian Absalon ◽  
Agnieszka Kolada
Keyword(s):  
Water Quality ◽  
Ecosystem Modelling ◽  
Practical Application ◽  
Lakes And Reservoirs

scholarly journals Research on wind-induced nutrient release in Yangshapao Reservoir, China

2019 ◽  
Vol 20 (2) ◽  
pp. 469-477
Author(s):  
Yu Bai ◽  
Jinhua Gao ◽  
Ying Zhang
Keyword(s):  
Water Quality ◽  
Shear Stress ◽  
Wind Speed ◽  
Nutrient Release ◽  
Urban Water ◽  
Bottom Shear Stress ◽  
Dissolved Phosphorus ◽  
Urban Water Use ◽  
Lakes And Reservoirs

Abstract Nutrient (total nitrogen (TN) and total phosphorus (TP)) are considered the major indicators to be impacted by wind speed in shallow lakes and reservoirs. As a reservoir situated in Jilin Province, China, Yangshapao Reservoir has been employed for irrigation and urban water use. After 2 years’ observation carried out on water quality and wind speed, it was found that the TN, NH4 and TP are significantly correlated with the bottom shear stress attributed to wind, whereas the dissolved phosphorus (DP) is not. Bottom shear stress is also noticeably associated with dissolved oxygen (DO), thus promoting nutrient release into the water body. In winter, ice can effectively inhibit the wind-induced shear stress, and the TP concentration is evidently lower than in the other seasons. This scenario should be considered in the management of the water quality of the lake and similar lakes.

Empirical relationships for monitoring water quality of lakes and reservoirs through multispectral images

2014 ◽  
Vol 7 (5) ◽  
pp. 1632-1641 ◽  
Author(s):  
Carolina Dona ◽  
Juan M. Sanchez ◽  
Vicente Caselles ◽  
Jose Antonio Dominguez ◽  
Antonio Camacho
Keyword(s):  
Water Quality ◽  
Multispectral Images ◽  
Empirical Relationships ◽  
Lakes And Reservoirs

Hybrid expert system DELAQUA — a toolkit for water quality control of lakes and reservoirs

1994 ◽  
Vol 71 (1-3) ◽  
pp. 17-36 ◽  
Author(s):  
Frieder Recknagel ◽  
Thomas Petzoldt ◽  
Olaf Jaeke ◽  
Falk Krusche
Keyword(s):  
Water Quality ◽  
Quality Control ◽  
Expert System ◽  
Water Quality Control ◽  
Lakes And Reservoirs

Development of a water quality index model for lakes and reservoirs

2014 ◽  
Vol 12 (S1) ◽  
pp. 19-28 ◽  
Author(s):  
Yunkyoung Lee ◽  
Jai-Ku Kim ◽  
Sungmin Jung ◽  
Jaesung Eum ◽  
Chulgoo Kim ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Index Model ◽  
Lakes And Reservoirs

scholarly journals The National Eutrophication Survey: lake characteristics and historical nutrient concentrations

2018 ◽  
Vol 10 (1) ◽  
pp. 81-86 ◽  
Author(s):  
Joseph Stachelek ◽  
Chanse Ford ◽  
Dustin Kincaid ◽  
Katelyn King ◽  
Heather Miller ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Assurance ◽  
Environmental Protection Agency ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Nutrient Concentrations ◽  
Optical Character ◽  
Lakes And Reservoirs ◽  
Meta Analyses ◽  
Water Quality Trends

Abstract. Historical ecological surveys serve as a baseline and provide context for contemporary research, yet many of these records are not preserved in a way that ensures their long-term usability. The National Eutrophication Survey (NES) database is currently only available as scans of the original reports (PDF files) with no embedded character information. This limits its searchability, machine readability, and the ability of current and future scientists to systematically evaluate its contents. The NES data were collected by the US Environmental Protection Agency between 1972 and 1975 as part of an effort to investigate eutrophication in freshwater lakes and reservoirs. Although several studies have manually transcribed small portions of the database in support of specific studies, there have been no systematic attempts to transcribe and preserve the database in its entirety. Here we use a combination of automated optical character recognition and manual quality assurance procedures to make these data available for analysis. The performance of the optical character recognition protocol was found to be linked to variation in the quality (clarity) of the original documents. For each of the four archival scanned reports, our quality assurance protocol found an error rate between 5.9 and 17 %. The goal of our approach was to strike a balance between efficiency and data quality by combining entry of data by hand with digital transcription technologies. The finished database contains information on the physical characteristics, hydrology, and water quality of about 800 lakes in the contiguous US (Stachelek et al., 2017, https://doi.org/10.5063/F1639MVD). Ultimately, this database could be combined with more recent studies to generate meta-analyses of water quality trends and spatial variation across the continental US.

Sign in / Sign up

Export Citation Format

Share Document