@InProceedings{SantosLauMesAbeMei:2017:LaUsCh,
author = "Santos, Vanessa C. dos and Laurent, Fran{\c{c}}ois and Messner,
Fran{\c{c}}ois and Abe, Camila Andrade and Meireles, Ana C.",
affiliation = "{Universit{\'e} du Maine} and {Universit{\'e} du Maine} and
{Universit{\'e} du Maine} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Universidade Federal do Cariri}",
title = "Land use change effects on hydrological regime in the Xingu
Watershed - Brazil",
year = "2017",
organization = "International SWAT Conference and Workshops",
keywords = "Land-use change, streamflow, SWAT model, scenarios, Amazon region,
Xingu watershed.",
abstract = "Accelerated land use change in the Amazon biome over the last
decades has raised questions about the extent and consequences of
the impacts on the local hydrology. Land cover patterns control
surface runoff, infiltration, evapotranspiration and sediment
production within the watershed, directly influencing the
streamflow dynamics and sediment yield. High deforestation rate at
agricultural frontier areas as well as the recent reduction of
this rate can significantly affect hydrological processes. The
resulting changes on the regional hydrological cycle affect
ecosystem function as well as navigation, agricultural activities,
power generation and riverside inhabitants, either directly or
indirectly. Beyond the scarce availability of hydrologic and
sediment data, the Amazon region also lacks studies that establish
a relationship between land use and the hydrological system.
Applying hydrological models, such as Soil and Water Assessment
Tool (SWAT), in the Amazon region is crucial to the analysis of
the system's response to future land use and climate change
scenarios. The Xingu Watershed (509.000kmē), located at the
agricultural frontier area of Eastern Amazon is divided into areas
of extensive native forests, and areas with differing levels and
types of agricultural activities. This watershed has suffered
intense deforestation over the last four decades, with expansion
of grain cropland and cattle ranching at the southern region of
the basin. As of 2004, government policies increased the
discipline of environmental legislation which has since partially
reduced the advance of deforestation. In this context, this work
aims to model the relation between land use and water discharge of
the Xingu Watershed using the SWAT model, analysing the impacts of
future land use scenarios. To overcome the issue of climate data
scarcity, 1998-2016 Tropical Rainfall Measuring Mission (TRMM)
data series were used along with data provided by the Brazilian
National Meteorological Institute (INMET). Daily streamflow data
were obtained from the Brazilian National Water Agency (ANA). Data
from the TerraClass project (National Institute for Space Research
- INPE/Brazil) were used as land use input, whereas soil physical
characteristics data were prepared using pedotransfer functions
based on studies and Amazonian soil texture data from Radar da
Amazonia Project (RADAMBRASIL) and the Brazilian Soil Survey for
Amazonia (EMBRAPA). Simulations are currently being performed on
two Xingu River sub-basins: Fresco River sub-basin (43.000kmē) and
Iriri River sub-basin (142.000kmē). Initial results from these
simulations suggest a good model fit when simulated flow is
compared to the observed flow from fluviometric stations (r2 =
0.87, NS = 0.85). The continuation of this work aims to expand
modelling to the entire Xingu Watershed, enabling the simulation
of future land use scenarios.",
conference-location = "Warsaw, Poland",
conference-year = "26-30 June",
language = "en",
targetfile = "santos_land.pdf",
urlaccessdate = "27 abr. 2024"
}