scholarly journals Quantity and Quality Modeling of Groundwater by Conjugation of ANN and Co-Kriging Approaches

10.5772/38912 ◽  
2012 ◽  
Author(s):  
Vahid Nourani ◽  
Reza Goli
Keyword(s):  
Quality Modeling

Contemporary issues in watershed and water quality modeling for eutrophication control

1998 ◽  
Vol 37 (3) ◽  
pp. 93-102
Author(s):  
Robert V. Thomann ◽  
Lewis C. Linker
Keyword(s):  
Coastal Waters ◽  
Water Quality Modeling ◽  
Significant Decline ◽  
Suspension Feeding ◽  
Watershed Model ◽  
Nitrogen And Phosphorus ◽  
Overlying Water ◽  
Chesapeake Bay Watershed ◽  
Eutrophication Control ◽  
Quality Modeling

Three issues are discussed: controllability of nonpoint nutrient loadings using watershed models; the sometimes counter intuitive results from eutrophication models from nutrient controls for coastal waters; and the potential significant interaction of improvement in habitat for suspension feeding bivalves. For the Chesapeake Bay watershed model, and for Limit of Technology (LOT) controls, a 16% and 45% reduction in nitrogen and phosphorus, respectively, is calculated. For the Bay, it is concluded that removal of phosphorus only is less effective than nitrogen in improving bottom water DO because of differential transport of nitrogen downstream. For the Delaware estuary, a significant decline in phytoplankton chlorophyll has been observed in the absence of any nutrient controls but in the presence of improved DO. A simple model is offered that hypothesized an increase in benthic bivalve filtration of overlying water as a result of improvement in DO.

WEF Stormwater Quality Modeling Compendium 2017 Update

2017 ◽  
Vol 2017 (15) ◽  
pp. 736-736
Author(s):  
Caroline Burger ◽  
Nitin Katiyar ◽  
Anil Tangirala ◽  
Steven Wolosoff
Keyword(s):  
Stormwater Quality ◽  
Quality Modeling

scholarly journals Emission Inventories and Particulate Matter Air Quality Modeling over the Pearl River Delta Region

2021 ◽  
Vol 18 (8) ◽  
pp. 4155
Author(s):  
Diogo Lopes ◽  
Joana Ferreira ◽  
Ka In Hoi ◽  
Ka-Veng Yuen ◽  
Kai Meng Mok ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Pearl River Delta ◽  
Air Quality Modeling ◽  
Pearl River ◽  
Emission Inventories ◽  
Atmospheric Emission ◽  
The Pearl River Delta ◽  
Quality Modeling ◽  
The Pearl River

The Pearl River Delta (PRD) region is located on the southeast coast of mainland China and it is an important economic hub. The high levels of particulate matter (PM) in the atmosphere, however, and poor visibility have become a complex environmental problem for the region. Air quality modeling systems are useful to understand the temporal and spatial distribution of air pollution, making use of atmospheric emission data as inputs. Over the years, several atmospheric emission inventories have been developed for the Asia region. The main purpose of this work is to evaluate the performance of the air quality modeling system for simulating PM concentrations over the PRD using three atmospheric emission inventories (i.e., EDGAR, REAS and MIX) during a winter and a summer period. In general, there is a tendency to underestimate PM levels, but results based on the EDGAR emission inventory show slightly better accuracy. However, improvements in the spatial and temporal disaggregation of emissions are still needed to properly represent PRD air quality. This study’s comparison of the three emission inventories’ data, as well as their PM simulating outcomes, generates recommendations for future improvements to atmospheric emission inventories and our understanding of air pollution problems in the PRD region.

Indoor air quality modeling: Compartmental approach with reactive chemistry

1982 ◽  
Vol 8 (1-6) ◽  
pp. 461-471 ◽  
Author(s):  
H. Özkaynak ◽  
P.B. Ryan ◽  
G.A. Allen ◽  
W.A. Turner
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Air Quality Modeling ◽  
Quality Modeling

Hydrodynamic and Water Quality Modeling of Lake Eğirdir

2014 ◽  
Vol 42 (11) ◽  
pp. 1573-1582 ◽  
Author(s):  
Meltem Kaçıkoç ◽  
Mehmet Beyhan
Keyword(s):  
Water Quality ◽  
Water Quality Modeling ◽  
Quality Modeling

Enhancing event detection in video using robust background and quality modeling

2014 ◽  
Author(s):  
Richard J. Wood ◽  
David Reed ◽  
Brian Collins ◽  
John M. Irvine
Keyword(s):  
Event Detection ◽  
Quality Modeling
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