Details
| Original language | English |
|---|---|
| Pages (from-to) | 863-876 |
| Number of pages | 14 |
| Journal | Journal of hydrology |
| Volume | 531 |
| Early online date | 23 Oct 2015 |
| Publication status | Published - Dec 2015 |
Abstract
The high complexity of nitrate dynamics and corresponding deterministic models make it very appealing to employ easy, fast, and parsimonious modelling alternatives for decision support. This study presents a fuzzy rule based metamodel consisting of eight fuzzy modules, which is able to simulate nitrate fluxes in large watersheds from their diffuse sources via surface runoff, interflow, and base flow to the catchment outlet. The fuzzy rules are trained on a database established with a calibrated SWAT model for an investigation area of 1000km2. The metamodel performs well on this training area and on two out of three validation areas in different landscapes, with a Nash-Sutcliffe coefficient of around 0.5-0.7 for the monthly nitrate calculations. The fuzzy model proves to be fast, requires only few readily available input data, and the rule based model structure facilitates a common-sense interpretation of the model, which deems the presented approach suitable for the development of decision support tools.
Keywords
- Catchment scale, Fuzzy rules, Metamodel, Nitrate, SWAT
ASJC Scopus subject areas
- Environmental Science(all)
- Water Science and Technology
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In: Journal of hydrology, Vol. 531, 12.2015, p. 863-876.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - A fuzzy rule based metamodel for monthly catchment nitrate fate simulations
AU - van der Heijden, S.
AU - Haberlandt, U.
N1 - Achnowledgements: The authors are thankful for the valuable and constructive comments of three anonymous reviewers. Many thanks also to our colleague Markus Wallner who helped to improve the quality of the paper. We are also grateful to DWD and NLWKN for providing climate and hydrologic data, respectively.
PY - 2015/12
Y1 - 2015/12
N2 - The high complexity of nitrate dynamics and corresponding deterministic models make it very appealing to employ easy, fast, and parsimonious modelling alternatives for decision support. This study presents a fuzzy rule based metamodel consisting of eight fuzzy modules, which is able to simulate nitrate fluxes in large watersheds from their diffuse sources via surface runoff, interflow, and base flow to the catchment outlet. The fuzzy rules are trained on a database established with a calibrated SWAT model for an investigation area of 1000km2. The metamodel performs well on this training area and on two out of three validation areas in different landscapes, with a Nash-Sutcliffe coefficient of around 0.5-0.7 for the monthly nitrate calculations. The fuzzy model proves to be fast, requires only few readily available input data, and the rule based model structure facilitates a common-sense interpretation of the model, which deems the presented approach suitable for the development of decision support tools.
AB - The high complexity of nitrate dynamics and corresponding deterministic models make it very appealing to employ easy, fast, and parsimonious modelling alternatives for decision support. This study presents a fuzzy rule based metamodel consisting of eight fuzzy modules, which is able to simulate nitrate fluxes in large watersheds from their diffuse sources via surface runoff, interflow, and base flow to the catchment outlet. The fuzzy rules are trained on a database established with a calibrated SWAT model for an investigation area of 1000km2. The metamodel performs well on this training area and on two out of three validation areas in different landscapes, with a Nash-Sutcliffe coefficient of around 0.5-0.7 for the monthly nitrate calculations. The fuzzy model proves to be fast, requires only few readily available input data, and the rule based model structure facilitates a common-sense interpretation of the model, which deems the presented approach suitable for the development of decision support tools.
KW - Catchment scale
KW - Fuzzy rules
KW - Metamodel
KW - Nitrate
KW - SWAT
UR - http://www.scopus.com/inward/record.url?scp=84948148520&partnerID=8YFLogxK
U2 - 10.1016/j.jhydrol.2015.10.039
DO - 10.1016/j.jhydrol.2015.10.039
M3 - Article
AN - SCOPUS:84948148520
VL - 531
SP - 863
EP - 876
JO - Journal of hydrology
JF - Journal of hydrology
SN - 0022-1694
ER -