Predictive Assessment of Climate Change Impact on Water Yield in the Meta River Basin, Colombia: An InVEST Model Application

This paper presents a hydrological assessment of the 113,981 km<sup>2</sup> Meta River basin in Colombia using 13 global climate models to predict water yield for 2050 under two CMIP6 scenarios, SSP 4.5 and SSP 8.5. Despite mixed performance across subbasins, the model was notably effect...

Full description

Bibliographic Details
Main Authors: Jhon B. Valencia, Vladimir V. Guryanov, Jeison Mesa-Diez, Nilton Diaz, Daniel Escobar-Carbonari, Artyom V. Gusarov
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Hydrology
Subjects:
Online Access:https://www.mdpi.com/2306-5338/11/2/25
_version_ 1797298100396621824
author Jhon B. Valencia
Vladimir V. Guryanov
Jeison Mesa-Diez
Nilton Diaz
Daniel Escobar-Carbonari
Artyom V. Gusarov
author_facet Jhon B. Valencia
Vladimir V. Guryanov
Jeison Mesa-Diez
Nilton Diaz
Daniel Escobar-Carbonari
Artyom V. Gusarov
author_sort Jhon B. Valencia
collection DOAJ
description This paper presents a hydrological assessment of the 113,981 km<sup>2</sup> Meta River basin in Colombia using 13 global climate models to predict water yield for 2050 under two CMIP6 scenarios, SSP 4.5 and SSP 8.5. Despite mixed performance across subbasins, the model was notably effective in the upper Meta River subbasin. This study predicts an overall increase in the basin’s annual water yield due to increased precipitation, especially in flatter regions. Under the SSP 4.5, the Meta River basin’s water flow is expected to rise from 5141.6 m<sup>3</sup>/s to 6397.5 m<sup>3</sup>/s, and to 6101.5 m<sup>3</sup>/s under the SSP 8.5 scenario, marking 24% and 19% increases in water yield, respectively. Conversely, the upper Meta River subbasin may experience a slight decrease in water yield, while the upper Casanare River subbasin is predicted to see significant increases. The South Cravo River subbasin, however, is expected to face a considerable decline in water yield, indicating potential water scarcity. This study represents a pioneering large-scale application of the InVEST–AWY model in Colombia using CMIP6 global climate models with an integrated approach to produce predictions of future water yields.
first_indexed 2024-03-07T22:29:57Z
format Article
id doaj.art-b02410dc219f4b89b2728fecd5d211a6
institution Directory Open Access Journal
issn 2306-5338
language English
last_indexed 2024-03-07T22:29:57Z
publishDate 2024-02-01
publisher MDPI AG
record_format Article
series Hydrology
spelling doaj.art-b02410dc219f4b89b2728fecd5d211a62024-02-23T15:19:01ZengMDPI AGHydrology2306-53382024-02-011122510.3390/hydrology11020025Predictive Assessment of Climate Change Impact on Water Yield in the Meta River Basin, Colombia: An InVEST Model ApplicationJhon B. Valencia0Vladimir V. Guryanov1Jeison Mesa-Diez2Nilton Diaz3Daniel Escobar-Carbonari4Artyom V. Gusarov5Institute of Environmental Sciences, Kazan Federal University, 420008 Kazan, RussiaInstitute of Environmental Sciences, Kazan Federal University, 420008 Kazan, RussiaEscuela de Estadística, Universidad del Valle, Calle 13 No. 100-00—Edificio E43, Santiago de Cali 760042, ColombiaClimate Action, Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT), Palmira 763537, ColombiaClimate Action, Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT), Palmira 763537, ColombiaInstitute of Geology and Petroleum Technologies, Kazan Federal University, 420008 Kazan, RussiaThis paper presents a hydrological assessment of the 113,981 km<sup>2</sup> Meta River basin in Colombia using 13 global climate models to predict water yield for 2050 under two CMIP6 scenarios, SSP 4.5 and SSP 8.5. Despite mixed performance across subbasins, the model was notably effective in the upper Meta River subbasin. This study predicts an overall increase in the basin’s annual water yield due to increased precipitation, especially in flatter regions. Under the SSP 4.5, the Meta River basin’s water flow is expected to rise from 5141.6 m<sup>3</sup>/s to 6397.5 m<sup>3</sup>/s, and to 6101.5 m<sup>3</sup>/s under the SSP 8.5 scenario, marking 24% and 19% increases in water yield, respectively. Conversely, the upper Meta River subbasin may experience a slight decrease in water yield, while the upper Casanare River subbasin is predicted to see significant increases. The South Cravo River subbasin, however, is expected to face a considerable decline in water yield, indicating potential water scarcity. This study represents a pioneering large-scale application of the InVEST–AWY model in Colombia using CMIP6 global climate models with an integrated approach to produce predictions of future water yields.https://www.mdpi.com/2306-5338/11/2/25water balancehydrological modelclimate changeCMIP6 scenariosOrinoco River
spellingShingle Jhon B. Valencia
Vladimir V. Guryanov
Jeison Mesa-Diez
Nilton Diaz
Daniel Escobar-Carbonari
Artyom V. Gusarov
Predictive Assessment of Climate Change Impact on Water Yield in the Meta River Basin, Colombia: An InVEST Model Application
Hydrology
water balance
hydrological model
climate change
CMIP6 scenarios
Orinoco River
title Predictive Assessment of Climate Change Impact on Water Yield in the Meta River Basin, Colombia: An InVEST Model Application
title_full Predictive Assessment of Climate Change Impact on Water Yield in the Meta River Basin, Colombia: An InVEST Model Application
title_fullStr Predictive Assessment of Climate Change Impact on Water Yield in the Meta River Basin, Colombia: An InVEST Model Application
title_full_unstemmed Predictive Assessment of Climate Change Impact on Water Yield in the Meta River Basin, Colombia: An InVEST Model Application
title_short Predictive Assessment of Climate Change Impact on Water Yield in the Meta River Basin, Colombia: An InVEST Model Application
title_sort predictive assessment of climate change impact on water yield in the meta river basin colombia an invest model application
topic water balance
hydrological model
climate change
CMIP6 scenarios
Orinoco River
url https://www.mdpi.com/2306-5338/11/2/25
work_keys_str_mv AT jhonbvalencia predictiveassessmentofclimatechangeimpactonwateryieldinthemetariverbasincolombiaaninvestmodelapplication
AT vladimirvguryanov predictiveassessmentofclimatechangeimpactonwateryieldinthemetariverbasincolombiaaninvestmodelapplication
AT jeisonmesadiez predictiveassessmentofclimatechangeimpactonwateryieldinthemetariverbasincolombiaaninvestmodelapplication
AT niltondiaz predictiveassessmentofclimatechangeimpactonwateryieldinthemetariverbasincolombiaaninvestmodelapplication
AT danielescobarcarbonari predictiveassessmentofclimatechangeimpactonwateryieldinthemetariverbasincolombiaaninvestmodelapplication
AT artyomvgusarov predictiveassessmentofclimatechangeimpactonwateryieldinthemetariverbasincolombiaaninvestmodelapplication