Skip to main navigation Skip to search Skip to main content

Hydrological modeling in land cover - Upstream angostura dam with the use of satellite data

  • Samuel Nuñonca Mollo
  • , Ruben Esau Mogrovejo Gutierrez

Research output: Chapter in Book/Report/Conference proceedingPaper (Conference contribution)peer-review

Abstract

Recently there are models that study the hydrological behavior in the land cover of the hydrographic basins. For this reason, it is essential to understand the hydrological impact on land cover, which will serve for the management of watersheds. The study analyzed the changes in plant cover for the periods between 1985 and 2015, where plant covers such as Tolar, Wetlands, Puna grassland, Andean grasslands, and Yaretales were identified. Therefore, it was shown that there are losses of soil covers such as wetlands at 2.39%, Puna grassland at 1.71%, and Andean grassland at 4.77%. In addition, in this research, the semi-distributed model of Soil and Water Assessment (SWAT) was applied to study the impact of land use and land cover change (LULC) on the basin's water balance under study. The model was calibrated from (1981-1992), with the flow data observed. The result indicates that the most sensitive parameters are those that regulate the surface response (CN2, SOL_AWC) and the subsurface response (GWQMN). The hydrological simulation with vegetation cover maps for the years 1985 and 2015 showed high runoff in Urban areas, Puna grassland, and Puna grassland. Finally, to validate the results, the comparison of the Number Curve elaborated on a national scale was carried out, this parameter is very important in the hydrological models of precipitation and runoff. In the simulation, NCs similar to the generation of the thematic map of the Curve Number (CN)ublished by the National Water Authority, was achieved.

Original languageEnglish
Title of host publicationAIP Conference Proceedings
EditorsSandip A. Kale, K. Jagannadha Rao, Yuvaraj L. Bhirud
PublisherAmerican Institute of Physics Inc.
Edition1
ISBN (Electronic)9780735448247
DOIs
StatePublished - 31 Jan 2024
Externally publishedYes
Event2022 International Conference on Advances in Civil Engineering, ICACE 2022 - Virtual, Online
Duration: 20 Dec 202222 Dec 2022

Publication series

NameAIP Conference Proceedings
Number1
Volume3010
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference2022 International Conference on Advances in Civil Engineering, ICACE 2022
CityVirtual, Online
Period20/12/2222/12/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • Land Cover
  • Number Curve
  • SWAT model
  • Water balance
  • Water resources

Fingerprint

Dive into the research topics of 'Hydrological modeling in land cover - Upstream angostura dam with the use of satellite data'. Together they form a unique fingerprint.

Cite this