Development of an Event-Based Water Quality Model for Sparsely Gauged Catchments

Hong Quan Nguyen, Gunter Meon and Nguyen Van Thinh
Additional contact information
Hong Quan Nguyen: Institute for Computational Science and Technology, Ho Chi Minh City 700000, Vietnam
Gunter Meon: Leichtweiss-Institute for Hydraulic Engineering and Water Resources, University of Braunschweig, 38106 Braunschweig, Germany
Nguyen Van Thinh: Department of Civil and Environmental Engineering, Seoul National University, Seoul 08826, Korea

Sustainability, 2019, vol. 11, issue 6, 1-27

Abstract: This paper describes an event-based water quality model for sparsely gauged catchments. The model was cultivated in a robust way to cope with practical issues, such as limited available data and error propagation. A simplified model structure and fewer input parameters are the most appealing features of this model. All model components are coupled and controlled within an Excel Spreadsheet Macro as an operational tool. Herein, the geomorphological instantaneous unit hydrograph (GIUH), the simplified process erosion and sedimentation component, the loading function, and the river routing from different existing modeling systems are adopted and linked together. Furthermore, an add-on Monte Carlo simulation tool is provided to deliver an uncertainty analysis for calibration of the output obtained from the model results. The model was successfully applied to simulate nutrient dynamics for small catchment scales during flood events in Vietnam. The success of the model application shows the ability of our model, which can adapt the model complexity to the data availability, i.e., the dominant processes in the system should be captured, whereas the minor processes may be neglected or treated in a less complex manner.

Keywords: water quality model; sparsely gauged catchment; flood event; uncertainty analysis; Monte Carlo (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/11/6/1773/pdf (application/pdf)
https://www.mdpi.com/2071-1050/11/6/1773/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:6:p:1773-:d:216775

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().