scholarly journals Preliminary geophysical framework of the upper and middle Verde River watershed, Yavapai County, Arizona

2005 ◽  
Author(s):  
Victoria E. Langenheim ◽  
Ed DeWitt ◽  
Laurie Wirt
Keyword(s):  
River Watershed ◽  
Verde River ◽  
Yavapai County

Preliminary synthesis and assessment of environmental flows in the middle Verde River watershed, Arizona

2018 ◽  
Author(s):  
Nicholas V. Paretti ◽  
Anne M. D. Brasher ◽  
Susanna L. Pearlstein ◽  
Dena M. Skow ◽  
Bruce W. Gungle ◽  
...  
Keyword(s):  
Environmental Flows ◽  
River Watershed ◽  
Verde River

The impact of forest restoration on agriculture in the Verde River watershed, Arizona, USA

2019 ◽  
Vol 109 ◽  
pp. 101999
Author(s):  
Xiaobing Zhao ◽  
Ding Du ◽  
Jun Xiong ◽  
Abraham Springer ◽  
Sharon R. Masek Lopez ◽  
...  
Keyword(s):  
Forest Restoration ◽  
River Watershed ◽  
Verde River ◽  
The Impact

scholarly journals Hydrological simulation with SWAT and VIC Models in the Verde River Watershed, Minas Gerais

2020 ◽  
Vol 15 (4) ◽  
pp. 1 ◽  
Author(s):  
Lívia Alves Alvarenga ◽  
Vinícius Siqueira Oliveira Carvalho ◽  
Vinícius Augusto de Oliveira ◽  
Carlos Rogério de Mello ◽  
Alberto Colombo ◽  
...  
Keyword(s):  
Assessment Tool ◽  
Resource Assessment ◽  
Minas Gerais ◽  
Hydrological Models ◽  
Infiltration Capacity ◽  
Hydrological Simulation ◽  
River Watershed ◽  
Minas Gerais State ◽  
Verde River ◽  
Streamflow Forecasts

Successful streamflow forecasts depend on an adequate performance evaluation of the hydrological model. In this study, the hydrological responses were compared using two hydrological models, physic-based and semi-distributed, Soil and Water Assessment Tool (SWAT) and Variable Infiltration Capacity (VIC), using input data from the Verde River Watershed, located in the Minas Gerais state in southern Brazil. This is a study of one of the most important headwater watershed regions of Brazil (Mantiqueira Range). Both models were suitable for streamflow simulation, with values of R2 (determination coefficient) and NSE (Nash-Sutcliffe) higher than 0.8, NSELog higher than 0.35 (Nash–Sutcliffe Efficiency of the logarithmic values of discharge) and PBIAS (percentage deviation) less than 25%. The integration of SWAT and VIC models can be useful in different water-resource assessment studies. Therefore, based upon this study further investigations should be conducted using various hydrological models and climate, land-use and land-cover changes scenarios in the region.

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