Nonparametric Harmonic Analysis of Estuarine Water-Quality Data: A National Estuarine Research Reserve Case Study

2004 ◽  
Vol 10045 ◽  
pp. 75-92 ◽  
Author(s):  
Don Edwards ◽  
Dorset Hurley ◽  
Elizabeth Wenner
Keyword(s):  
Water Quality ◽  
Harmonic Analysis ◽  
Quality Data ◽  
Estuarine Water ◽  
Water Quality Data ◽  
Estuarine Water Quality ◽  
National Estuarine Research Reserve

scholarly journals Challenges in Quantifying Air‐Water Carbon Dioxide Flux Using Estuarine Water Quality Data: Case Study for Chesapeake Bay

2020 ◽  
Vol 125 (7) ◽  
Author(s):  
Maria Herrmann ◽  
Raymond G. Najjar ◽  
Fei Da ◽  
Jaclyn R. Friedman ◽  
Marjorie A. M. Friedrichs ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Water Quality ◽  
Chesapeake Bay ◽  
Carbon Dioxide Flux ◽  
Quality Data ◽  
Estuarine Water ◽  
Water Quality Data ◽  
Estuarine Water Quality

scholarly journals Longitudinal River Monitoring and Modelling Substantiate the Impact of Weirs on Nitrogen Dynamics

Water ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 189
Author(s):  
Geovanni Teran-Velasquez ◽  
Björn Helm ◽  
Peter Krebs
Keyword(s):  
Water Quality ◽  
Nitrogen Dynamics ◽  
Low Flow ◽  
Quality Data ◽  
Quality Model ◽  
Spatiotemporal Resolution ◽  
Water Quality Data ◽  
River Monitoring ◽  
The Impact

The fluvial nitrogen dynamics at locations around weirs are still rarely studied in detail. Eulerian data, often used by conventional river monitoring and modelling approaches, lags the spatial resolution for an unambiguous representation. With the aim to address this knowledge gap, the present study applies a coupled 1D hydrodynamic–water quality model to a 26.9 km stretch of an upland river. Tailored simulations were performed for river sections with water retention and free-flow conditions to quantify the weirs’ influences on nitrogen dynamics. The water quality data were sampled with Eulerian and Lagrangian strategies. Despite the limitations in terms of required spatial discretization and simulation time, refined model calibrations with high spatiotemporal resolution corroborated the high ammonification rates (0.015 d−1) on river sections without weirs and high nitrification rates (0.17 d−1 ammonium to nitrate, 0.78 d−1 nitrate to nitrite) on river sections with weirs. Additionally, using estimations of denitrification based on typical values for riverbed sediment as a reference, we could demonstrate that in our case study, weirs can improve denitrification substantially. The produced backwater lengths can induce a means of additional nitrogen removal of 0.2-ton d−1 (10.9%) during warm and low-flow periods.

Chemometric Analysis of Surface Water Quality Data: Case Study of the Gorganrud River Basin, Iran

2011 ◽  
Vol 17 (4) ◽  
pp. 411-420 ◽  
Author(s):  
Roohollah Noori ◽  
Abdulreza Karbassi ◽  
Amir Khakpour ◽  
Mohammadreza Shahbazbegian ◽  
Hassan Mohammadi Khalf Badam ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Surface Water Quality ◽  
Chemometric Analysis ◽  
Quality Data ◽  
Water Quality Data

A construction of water quality index considering physicochemical properties for drinking purposes in a rural settlement: a case study of Gajraula region, Ganga River Basin (North India)

2012 ◽  
Vol 12 (6) ◽  
pp. 818-828 ◽  
Author(s):  
Bineet Singh ◽  
Jaspal Singh Chauhan ◽  
Anuraag Mohan
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Rating Scale ◽  
Rural Settlement ◽  
North India ◽  
Quality Data ◽  
Rapid Urbanization ◽  
Water Quality Data

A simple methodology based on several key variables of groundwater chemistry is used to create a water quality index (WQI), with the aim of monitoring the influence of industrial and rapid urbanization on a typical rural settlement. The applicability of the constructed indices as an assessment and communication tool is evaluated in a case study of Gajraula and its suburb of JP Nagar district in northern India. The water quality data from 2007 to 2009 were analysed for 12 different locations surrounding Gajraula for two seasons, i.e. wet and dry. Five point rating scale was used to classify water quality for each of the study locations. Rating curves were drawn based on the tolerance limits of drinking waters. In the present study, the WQI demonstrated a modest increase in wet seasons (August to November) than dry seasons (February to June) for all locations with a few exceptions. Hardness, total dissolved solids, NO3−, biochemical oxygen demand, and Fe in most cases were found to be responsible for the decline in seasonal WQI for various locations. However, the WQI around Gajraula varied from 50.6 to 87.7 and was found to be satisfactory except for some locations.

Monitoring estuarine water quality using satellite imagery. The Mondego river estuary (Portugal) as a case study

2013 ◽  
Vol 72 ◽  
pp. 13-21 ◽  
Author(s):  
V.M. Mantas ◽  
A.J.S.C. Pereira ◽  
J. Neto ◽  
J. Patrício ◽  
J.C. Marques
Keyword(s):  
Water Quality ◽  
Satellite Imagery ◽  
River Estuary ◽  
Estuarine Water ◽  
Estuarine Water Quality
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