Assessment of land use changes in the Verde River basin using two hydrological models

Carvalho, Vinícius Siqueira Oliveira; Cunha, Zandra Almeida da; Alvarenga, Lívia Alves; Beskow, Samuel; Mello, Carlos Rogério de; Martins, Minella Alves; Oliveira, Conceição de Maria Marques de

doi:10.1016/j.jsames.2022.103954

Cited by 4 publications

(1 citation statement)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Besides natural hazards, climate change and LU caused by human activities can also increase environmental risks by reducing the providing of ecosystem services to humans (Song and Liang, 2022). Human activity and associated carbon emissions are major drivers of land use and climate change, with significant impacts on extreme events such as flooding (Pal et al, 2022), and this can affect the dynamics of the hydrological cycle and the interactions between infiltration and runoff (Carvalho et al, 2022). These changes are an essential characteristic of runoff processes that affect erosion, infiltration and evapotranspiration (Tilahun, 2015).…”

Section: -Introductionmentioning

confidence: 99%

A Quick Technique of Flood Detection and Mapping Based on Land Cover/Land Use Changes (Case Study: The 2022 Flood Event of Taleghan City of Iran)

Gheysouri

Sigaroodi²,

Kalehhouei³

et al. 2023

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

Abstract. Flood as one of the most devastating natural disasters, causes significant tangible and intangible damages to watershed residents each year. When flood occurs, changes in land use (LU) and land cover (LC) relative to climate change and other edaphic factors have remarkable impacts on flood generation. Furthermore, application of complicated models with various inputs is costly and time-consuming. In this study, with the aim of determining the parameters affecting the recent floods in the Taleghan watershed, first, maps of the flooded areas and changes in LU and LC was extracted using' Sentinel 1 & 2 by coding the Google Earth Engine. In the extraction of LU, seasonal composites were used and the winter season was eliminated. Next, using the override command in the ARCGIS 10.8.1 software, the extracted maps were combined and evaluated. The results show that the use of urban and forest lands was limited to the lands next to the rivers and streams, which are the places where the floods pass, and this factor has increased exposure to flood. According to the composition of the maps in the Taleghan watershed, floods occurred in areas where there was no LC and the flooded areas we are located in the upper part of villages where natural LC was lost as a result of livestock grazing or human manipulation. It can be concluded that the use of simple models and basic maps can help experts identify flood zones.

show abstract

Section: -Introductionmentioning

confidence: 99%

A Quick Technique of Flood Detection and Mapping Based on Land Cover/Land Use Changes (Case Study: The 2022 Flood Event of Taleghan City of Iran)

Gheysouri

Sigaroodi²,

Kalehhouei³

et al. 2023

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

show abstract

Simulation of land use landscape pattern evolution from a multi-scenario simulation: a case study of Nansi Lake Basin in China

Han¹,

Jing²,

Liu³

2023

Environ Monit Assess

View full text Add to dashboard Cite

Hydrological Model Performance in the Verde River Basin, Minas Gerais, Brazil

de Oliveira,

Alvarenga,

Beskow

et al. 2023

Resources

View full text Add to dashboard Cite

In hydrological modelling, it is important to consider the uncertainties related to a model’s structures and parameters when different hydrological models are used to represent a system. Therefore, an adequate analysis of daily discharge forecasts that takes into account the performance of hydrological models can assist in identifying the best extreme discharge forecasts. In this context, this study aims to evaluate the performance of three hydrological models—Lavras Simulation of Hydrology (LASH), Variable Infiltration Capacity (VIC), and Distributed Hydrological Model (MHD-INPE) in the Verde River basin. The results demonstrate that LASH and MHD can accurately simulate discharges, thereby establishing them as crucial tools for managing water resources in the study region’s basins. Moreover, these findings could serve as a cornerstone for future studies focusing on food and water security, particularly when examining their connection to climate change scenarios.

show abstract

Assessment of land use changes in the Verde River basin using two hydrological models

Cited by 4 publications

References 41 publications

A Quick Technique of Flood Detection and Mapping Based on Land Cover/Land Use Changes (Case Study: The 2022 Flood Event of Taleghan City of Iran)

A Quick Technique of Flood Detection and Mapping Based on Land Cover/Land Use Changes (Case Study: The 2022 Flood Event of Taleghan City of Iran)

Simulation of land use landscape pattern evolution from a multi-scenario simulation: a case study of Nansi Lake Basin in China

Hydrological Model Performance in the Verde River Basin, Minas Gerais, Brazil

Contact Info

Product

Resources

About