Regionalization of average flow by remote sensing for watersheds in the MATOPIBA region

• Grant number: 22/06019-4
• Support Opportunities: Regular Research Grants
• Start date: September 01, 2022
• End date: August 31, 2024
• Field of knowledge: Agronomical Sciences - Agricultural Engineering
• Principal Investigator: Sergio Nascimento Duarte
• Grantee: Sergio Nascimento Duarte
• Host Institution: Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil
• City of the host institution: Piracicaba
• Associated researchers: Helio Lopes Araujo

Abstract

Regionalization of average flow by remote sensing for watersheds in the MATOPIBA regionFlow data from rivers in extensive regions are difficult to acquire, whether due to lack of rain gauges installed in the region, data with gauge failure or reading error. There are countless difficulties in obtaining continuous data over a long period of time. The distinction of rainy periods consists in the definition of their parameters (intensity, duration, recurrence time and rainfall height) and the distribution of such parameters in both time and space. Precipitation, on the other hand, is an important part of the global water and energy cycle that controls climate and ecosystems. Accurate and timely understanding of weather, location and amount of rainfall is essential to understand the principles of operation of earth systems and improve forecasting of natural disaster events. With regard to evapotranspiration, this is also an important variable that closes the water balance. The present work aims, through remote sensing, to perform spatial analysis in the diagnosis of precipitation (P), of real evapotranspiration (ETr), and flow (Q) in the MATOPIBA region (acronym of the states of MAranhão, TOcantins, PIauí and BAhia). Estimates of P through remote sensing (Psr), obtained by Global Precipitation Measurement (GPM) (Integrated Multi-Satellite Retrievals for GPM (IMERG) and evapotranspiration by ALEXI, which is the representation of the Earth's surface from two sources, will be evaluated (TSEB), which treats the Earth's surface as a mixture of soil and elements of vegetation with temperature, flow and atmospheric coupling. The flow (Q) will finally be estimated by the water balance equation in the basin. (AU)