KFU. Card publication. Assessing the Effectiveness of the Use of the InVEST Annual Water Yield Model for the Rivers of Colombia: A Case Study of the Meta River Basin

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ASSESSING THE EFFECTIVENESS OF THE USE OF THE INVEST ANNUAL WATER YIELD MODEL FOR THE RIVERS OF COLOMBIA: A CASE STUDY OF THE META RIVER BASIN

Form of presentation

Articles in international journals and collections

Year of publication

2023

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Authors, employees of KFU

Guryanov Vladimir Vladimirovich, author

Gusarov Artem Viktorovich, author

Authors, students KFU

Valensiya Garsiya Dzhon Brayan , author

Bibliographic description in the original language

Valencia J.B, Guryanov V.V, Mesa-Diez J, Tapasco J., Gusarov A.V. Assessing the Effectiveness of the Use of the InVEST Annual Water Yield Model for the Rivers of Colombia: A Case Study of the Meta River Basin // Water (Switzerland), 2023, 15 (8), 1617.

Annotation

This paper presents the results of one of the hydrological models, the InVEST “Annual Water Yield” (InVEST–AWY), applied to the Meta River basin in Colombia, which covers an area of 113,981 km². The study evaluates the performance of the model in different subbasins of the Meta River basin. The model's accuracy was assessed using different statistical measures, including Nash–Sutcliffe Efficiency (NSE) coefficient, Root Mean Square Error (RMSE), correlation coefficients for the calibration (rcal) and validation (rval) periods. The overall performance of the model in the Meta River basin is relatively poor as indicated by the low NSE value of 0.07 and high RMSE value of 1071.61. In addition, the model explains only a 7% of the variance in the observed data. The sensitivity analysis revealed that a 30% reduction in crop coefficient (Kc) values would result in a 10.7% decrease in water yield. The model estimated, for example, the annual average water yield of the river in 2018 as 1.98 × 1011 m3/year or 6273.4 m3/s, which is 1.3% lower than the reported value.

Keywords

watershed, water balance, land cover, runoff, water discharge, Orinoco River

The name of the journal

Water (Switzerland)

URL

https://doi.org/10.3390/w15081617

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=281837&p_lang=2

Resource files

File name	Size (MB)	Format
F_2023_Water_15_01617.pdf	3,13	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Guryanov Vladimir Vladimirovich	ru_RU
dc.contributor.author	Gusarov Artem Viktorovich	ru_RU
dc.contributor.author	Valensiya Garsiya Dzhon Brayan	ru_RU
dc.date.accessioned	2023-01-01T00:00:00Z	ru_RU
dc.date.available	2023-01-01T00:00:00Z	ru_RU
dc.date.issued	2023	ru_RU
dc.identifier.citation	Valencia J.B, Guryanov V.V, Mesa-Diez J, Tapasco J., Gusarov A.V. Assessing the Effectiveness of the Use of the InVEST Annual Water Yield Model for the Rivers of Colombia: A Case Study of the Meta River Basin // Water (Switzerland), 2023, 15 (8), 1617.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=281837&p_lang=2	ru_RU
dc.description.abstract	Water (Switzerland)	ru_RU
dc.description.abstract	This paper presents the results of one of the hydrological models, the InVEST “Annual Water Yield” (InVEST–AWY), applied to the Meta River basin in Colombia, which covers an area of 113,981 km². The study evaluates the performance of the model in different subbasins of the Meta River basin. The model's accuracy was assessed using different statistical measures, including Nash–Sutcliffe Efficiency (NSE) coefficient, Root Mean Square Error (RMSE), correlation coefficients for the calibration (rcal) and validation (rval) periods. The overall performance of the model in the Meta River basin is relatively poor as indicated by the low NSE value of 0.07 and high RMSE value of 1071.61. In addition, the model explains only a 7% of the variance in the observed data. The sensitivity analysis revealed that a 30% reduction in crop coefficient (Kc) values would result in a 10.7% decrease in water yield. The model estimated, for example, the annual average water yield of the river in 2018 as 1.98 × 1011 m3/year or 6273.4 m3/s, which is 1.3% lower than the reported value.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	watershed	ru_RU
dc.subject	water balance	ru_RU
dc.subject	land cover	ru_RU
dc.subject	runoff	ru_RU
dc.subject	water discharge	ru_RU
dc.subject	Orinoco River	ru_RU
dc.title	Assessing the Effectiveness of the Use of the InVEST Annual Water Yield Model for the Rivers of Colombia: A Case Study of the Meta River Basin	ru_RU
dc.type	Articles in international journals and collections	ru_RU