Towards a data-effective calibration of a fully distributed catchment water quality model. Ghaffar, S., Zhou, X., Jomaa, S., Yang, X., Meon, G., & Rode, M. November, 2023. ![Towards a data-effective calibration of a fully distributed catchment water quality model [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Distributed hydrological water quality models are increasingly being used to manage natural resources at the catchment scale but there are no calibration guidelines for selecting the most useful gauging stations. In this study, we investigated the influence of calibration schemes on the spatiotemporal performance of a fully distributed process-based hydrological water quality model (mHM-Nitrate) for discharge and nitrate simulations at Bode catchment in central Germany. We used a single- and two multi-site calibration schemes where the two multi-site schemes varied in number of gauging stations but each subcatchment represented different dominant land uses of the catchment. To extract a set of behavioral parameters for each calibration scheme, we chose a sequential multi-criteria method with 300.000 iterations. For discharge (Q), model performance was similar among the three schemes (NSE varied from 0.88 to 0.92). However, for nitrate concentration, the multi-site schemes performed better than the single site scheme. This improvement may be attributed to that multi-site schemes incorporated a broader range of data, including low Q and NO3- values, thus provided a better representation of within-catchment diversity. Conversely, adding more gauging stations in the multi-site approaches did not lead to further improvements in catchment representation but showed wider 95% uncertainty boundaries. Thus, adding observations that contained similar information on catchment characteristics did not seem to improve model performance and increased uncertainty. These results highlight the importance of strategically selecting gauging stations that reflect the full range of catchment heterogeneity rather than seeking to maximize station number, to optimize parameter calibration.
@misc{ghaffar_towards_2023,
title = {Towards a data-effective calibration of a fully distributed catchment water quality model},
url = {https://essopenarchive.org/users/699981/articles/687063-towards-a-data-effective-calibration-of-a-fully-distributed-catchment-water-quality-model?commit=a81118a0e128f537829537f78bb8bd136754ba69},
doi = {10.22541/essoar.170067059.92088535/v1},
abstract = {Distributed hydrological water quality models are increasingly being
used to manage natural resources at the catchment scale but there are no
calibration guidelines for selecting the most useful gauging stations.
In this study, we investigated the influence of calibration schemes on
the spatiotemporal performance of a fully distributed process-based
hydrological water quality model (mHM-Nitrate) for discharge and nitrate
simulations at Bode catchment in central Germany. We used a single- and
two multi-site calibration schemes where the two multi-site schemes
varied in number of gauging stations but each subcatchment represented
different dominant land uses of the catchment. To extract a set of
behavioral parameters for each calibration scheme, we chose a sequential
multi-criteria method with 300.000 iterations.
For discharge (Q), model performance was similar among the three schemes
(NSE varied from 0.88 to 0.92). However, for nitrate concentration, the
multi-site schemes performed better than the single site scheme. This
improvement may be attributed to that multi-site schemes incorporated a
broader range of data, including low Q and NO3- values, thus provided a
better representation of within-catchment diversity. Conversely, adding
more gauging stations in the multi-site approaches did not lead to
further improvements in catchment representation but showed wider 95\%
uncertainty boundaries. Thus, adding observations that contained similar
information on catchment characteristics did not seem to improve model
performance and increased uncertainty. These results highlight the
importance of strategically selecting gauging stations that reflect the
full range of catchment heterogeneity rather than seeking to maximize
station number, to optimize parameter calibration.},
urldate = {2024-11-14},
publisher = {Preprints},
author = {Ghaffar, Salman and Zhou, Xiangqian and Jomaa, Seifeddine and Yang, Xiaoqiang and Meon, Günter and Rode, Michael},
month = nov,
year = {2023},
}
Downloads: 0
{"_id":"EY9J3a6GkaNNo9mFQ","bibbaseid":"ghaffar-zhou-jomaa-yang-meon-rode-towardsadataeffectivecalibrationofafullydistributedcatchmentwaterqualitymodel-2023","author_short":["Ghaffar, S.","Zhou, X.","Jomaa, S.","Yang, X.","Meon, G.","Rode, M."],"bibdata":{"bibtype":"misc","type":"misc","title":"Towards a data-effective calibration of a fully distributed catchment water quality model","url":"https://essopenarchive.org/users/699981/articles/687063-towards-a-data-effective-calibration-of-a-fully-distributed-catchment-water-quality-model?commit=a81118a0e128f537829537f78bb8bd136754ba69","doi":"10.22541/essoar.170067059.92088535/v1","abstract":"Distributed hydrological water quality models are increasingly being used to manage natural resources at the catchment scale but there are no calibration guidelines for selecting the most useful gauging stations. In this study, we investigated the influence of calibration schemes on the spatiotemporal performance of a fully distributed process-based hydrological water quality model (mHM-Nitrate) for discharge and nitrate simulations at Bode catchment in central Germany. We used a single- and two multi-site calibration schemes where the two multi-site schemes varied in number of gauging stations but each subcatchment represented different dominant land uses of the catchment. To extract a set of behavioral parameters for each calibration scheme, we chose a sequential multi-criteria method with 300.000 iterations. For discharge (Q), model performance was similar among the three schemes (NSE varied from 0.88 to 0.92). However, for nitrate concentration, the multi-site schemes performed better than the single site scheme. This improvement may be attributed to that multi-site schemes incorporated a broader range of data, including low Q and NO3- values, thus provided a better representation of within-catchment diversity. Conversely, adding more gauging stations in the multi-site approaches did not lead to further improvements in catchment representation but showed wider 95% uncertainty boundaries. Thus, adding observations that contained similar information on catchment characteristics did not seem to improve model performance and increased uncertainty. These results highlight the importance of strategically selecting gauging stations that reflect the full range of catchment heterogeneity rather than seeking to maximize station number, to optimize parameter calibration.","urldate":"2024-11-14","publisher":"Preprints","author":[{"propositions":[],"lastnames":["Ghaffar"],"firstnames":["Salman"],"suffixes":[]},{"propositions":[],"lastnames":["Zhou"],"firstnames":["Xiangqian"],"suffixes":[]},{"propositions":[],"lastnames":["Jomaa"],"firstnames":["Seifeddine"],"suffixes":[]},{"propositions":[],"lastnames":["Yang"],"firstnames":["Xiaoqiang"],"suffixes":[]},{"propositions":[],"lastnames":["Meon"],"firstnames":["Günter"],"suffixes":[]},{"propositions":[],"lastnames":["Rode"],"firstnames":["Michael"],"suffixes":[]}],"month":"November","year":"2023","bibtex":"@misc{ghaffar_towards_2023,\n\ttitle = {Towards a data-effective calibration of a fully distributed catchment water quality model},\n\turl = {https://essopenarchive.org/users/699981/articles/687063-towards-a-data-effective-calibration-of-a-fully-distributed-catchment-water-quality-model?commit=a81118a0e128f537829537f78bb8bd136754ba69},\n\tdoi = {10.22541/essoar.170067059.92088535/v1},\n\tabstract = {Distributed hydrological water quality models are increasingly being\nused to manage natural resources at the catchment scale but there are no\ncalibration guidelines for selecting the most useful gauging stations.\nIn this study, we investigated the influence of calibration schemes on\nthe spatiotemporal performance of a fully distributed process-based\nhydrological water quality model (mHM-Nitrate) for discharge and nitrate\nsimulations at Bode catchment in central Germany. We used a single- and\ntwo multi-site calibration schemes where the two multi-site schemes\nvaried in number of gauging stations but each subcatchment represented\ndifferent dominant land uses of the catchment. To extract a set of\nbehavioral parameters for each calibration scheme, we chose a sequential\nmulti-criteria method with 300.000 iterations.\n For discharge (Q), model performance was similar among the three schemes\n(NSE varied from 0.88 to 0.92). However, for nitrate concentration, the\nmulti-site schemes performed better than the single site scheme. This\nimprovement may be attributed to that multi-site schemes incorporated a\nbroader range of data, including low Q and NO3- values, thus provided a\nbetter representation of within-catchment diversity. Conversely, adding\nmore gauging stations in the multi-site approaches did not lead to\nfurther improvements in catchment representation but showed wider 95\\%\nuncertainty boundaries. Thus, adding observations that contained similar\ninformation on catchment characteristics did not seem to improve model\nperformance and increased uncertainty. These results highlight the\nimportance of strategically selecting gauging stations that reflect the\nfull range of catchment heterogeneity rather than seeking to maximize\nstation number, to optimize parameter calibration.},\n\turldate = {2024-11-14},\n\tpublisher = {Preprints},\n\tauthor = {Ghaffar, Salman and Zhou, Xiangqian and Jomaa, Seifeddine and Yang, Xiaoqiang and Meon, Günter and Rode, Michael},\n\tmonth = nov,\n\tyear = {2023},\n}\n\n\n\n","author_short":["Ghaffar, S.","Zhou, X.","Jomaa, S.","Yang, X.","Meon, G.","Rode, M."],"key":"ghaffar_towards_2023","id":"ghaffar_towards_2023","bibbaseid":"ghaffar-zhou-jomaa-yang-meon-rode-towardsadataeffectivecalibrationofafullydistributedcatchmentwaterqualitymodel-2023","role":"author","urls":{"Paper":"https://essopenarchive.org/users/699981/articles/687063-towards-a-data-effective-calibration-of-a-fully-distributed-catchment-water-quality-model?commit=a81118a0e128f537829537f78bb8bd136754ba69"},"metadata":{"authorlinks":{}}},"bibtype":"misc","biburl":"https://bibbase.org/zotero/tereno","dataSources":["cq3J5xX6zmBvc2TQC"],"keywords":[],"search_terms":["towards","data","effective","calibration","fully","distributed","catchment","water","quality","model","ghaffar","zhou","jomaa","yang","meon","rode"],"title":"Towards a data-effective calibration of a fully distributed catchment water quality model","year":2023}