The development & application of an integrated modelling system for lignite quality analysis

1996 ◽  
Vol 20 ◽  
pp. S1505-S1510
Author(s):  
M.P. Foscolos ◽  
M. Sideris ◽  
S. Nilchan
1994 ◽  
Vol 19 (3) ◽  
pp. 181-206 ◽  
Author(s):  
K. A. Klevanny ◽  
G. V. Matveyev ◽  
N. E. Voltzinger

2007 ◽  
Vol 56 (8) ◽  
pp. 31-39 ◽  
Author(s):  
J.H. Ham ◽  
C.G. Yoon ◽  
K.W. Jung ◽  
J.H. Jang

Uncertainty in water quality model predictions is inevitably high due to natural stochasticity, model uncertainty, and parameter uncertainty. An integrated modelling system (modified-BASINS) under uncertainty is described and demonstrated for use in receiving-water quality prediction and watershed management. A Monte Carlo simulation was used to investigate the effect of various uncertainty types on output prediction. Without pollution control measures in the watershed, the concentrations of total nitrogen (T-N) and total phosphorus (T-P) in the Hwaong Reservoir, considering three uncertainty types, would be less than about 4.4 and 0.23 mg L−1, respectively, in 2012, with 90% confidence. The effects of two watershed management practices, wastewater treatment plants (WWTP) and constructed wetlands (WETLAND), were evaluated. The combined scenario (WWTP + WETLAND) was the most effective at improving reservoir water quality, bringing concentrations of T-N and T-P in the Hwaong Reservoir to less than 3.4 and 0.14 mg L−1, 24 and 41% improvements, respectively, with 90% confidence. Overall, the Monte Carlo simulation in the integrated modelling system was practical for estimating uncertainty and reliable in water quality prediction. The approach described here may allow decisions to be made based on the probability and level of risk, and its application is recommended.


1990 ◽  
pp. 265-270
Author(s):  
DAVID J. HASSELL ◽  
MARY E. WEBB

2006 ◽  
Vol 27 (17) ◽  
pp. 3705-3726 ◽  
Author(s):  
M. R. Williams ◽  
T. R. Fisher ◽  
W. R. Boynton ◽  
C. F. Cerco ◽  
M. W. Kemp ◽  
...  

Author(s):  
R. C. Izaurralde ◽  
P. W. Gassman ◽  
A. Bouzaher ◽  
J. Tajek ◽  
P. G. Laksminarayan ◽  
...  

2017 ◽  
Author(s):  
Alexander Baklanov ◽  
Ulrik Smith Korsholm ◽  
Roman Nuterman ◽  
Alexander Mahura ◽  
Kristian Pagh Nielsen ◽  
...  

Abstract. The Environment – HIgh Resolution Limited Area Model (Enviro-HIRLAM) is developed as a fully online integrated numerical weather prediction (NWP) and atmospheric chemical transport (ACT) model for research and forecasting of joint meteorological, chemical and biological weather. The integrated modelling system is developed by DMI in collaboration with several European universities. It is the baseline system in the HIRLAM Chemical Branch and used in several countries and different applications. The development was initiated at DMI more than 15 years ago. The first version was based on the DMI-HIRLAM NWP model with online integrated passive pollutant transport and dispersion, chemistry, aerosol dynamics, deposition and indirect effects. To make the model suitable for chemical weather forecasting (CWF) in urban areas the meteorological part was improved by implementation of urban parameterizations. The dynamical core was improved by implementing a locally mass conserving semi-Lagrangian numerical advection scheme, which improves forecast accuracy and model performance. The latest developing version is based on HIRLAM reference v7.2 with a more advanced and effective chemistry, aerosol multi-compound approach, aerosol feedbacks (direct and semi-direct) on radiation and (first and second indirect effects) on cloud microphysics. Since 2004 the Enviro-HIRLAM is used for different studies, including operational pollen forecasting for Denmark since 2009. Following main research and development strategy the further model developments will be extended towards the new NWP platform – HARMONIE. Different aspects of online coupling methodology, research strategy and possible applications of the modelling system, and fit-for-purpose model configurations for the meteorological and air quality communities are discussed.


2015 ◽  
Vol 17 (6) ◽  
pp. 1018-1031 ◽  
Author(s):  
Attila N. Lázár ◽  
Derek Clarke ◽  
Helen Adams ◽  
Abdur Razzaque Akanda ◽  
Sylvia Szabo ◽  
...  

We describe a novel integrated modelling system aiming to approximate the impact of environmental change on farmers' livelihoods in Bangladesh.


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