TY - JOUR
T1 - Evaluation of a coupled hydrodynamic-closed ecological cycle approach for modelling dissolved oxygen in surface waters
AU - Camacho Suarez, Vivian V.
AU - Brederveld, Robert J.
AU - Fennema, Marieke
AU - Moreno-Rodenas, Antonio
AU - Langeveld, Jeroen
AU - Korving, Hans
AU - Schellart, Alma N.A.
AU - Shucksmith, James D.
PY - 2019
Y1 - 2019
N2 - The description of intertwined ecological processes in surface waters requires a holistic approach that accounts for spatially distributed hydrological/water quality processes. This study describes a new approach to model dissolved oxygen (DO) based on linked hydrodynamic and closed nutrient cycle ecological models. Long term datasets from the River Dommel (Netherlands) are used to determine: 1) if this methodology is suitable for modelling DO concentrations, 2) the model sensitivity to various levels of nutrients input, and 3) the DO production and consumption processes and their response to nutrient input changes. Results show that seasonal dynamics of DO are well quantified at long timescales; the sensitivity of DO to different pollutant sources exhibits significant seasonal variation and the largest influences on DO are aeration and mineralization of organic material. The approach demonstrates an ability to consider the impacts of nutrient input and long term vegetation maintenance on ecological quality.
AB - The description of intertwined ecological processes in surface waters requires a holistic approach that accounts for spatially distributed hydrological/water quality processes. This study describes a new approach to model dissolved oxygen (DO) based on linked hydrodynamic and closed nutrient cycle ecological models. Long term datasets from the River Dommel (Netherlands) are used to determine: 1) if this methodology is suitable for modelling DO concentrations, 2) the model sensitivity to various levels of nutrients input, and 3) the DO production and consumption processes and their response to nutrient input changes. Results show that seasonal dynamics of DO are well quantified at long timescales; the sensitivity of DO to different pollutant sources exhibits significant seasonal variation and the largest influences on DO are aeration and mineralization of organic material. The approach demonstrates an ability to consider the impacts of nutrient input and long term vegetation maintenance on ecological quality.
UR - http://www.scopus.com/inward/record.url?scp=85068184812&partnerID=8YFLogxK
U2 - 10.1016/j.envsoft.2019.06.003
DO - 10.1016/j.envsoft.2019.06.003
M3 - Article
AN - SCOPUS:85068184812
SN - 1364-8152
VL - 119
SP - 242
EP - 257
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
ER -