Estimation of water erosion rates in Espirito Santo state, Brazil1

被引:0
作者
Teodoro, Alexandre Elias de Miranda [1 ]
Lense, Guilherme Henrique Expedito [2 ]
Ayer, Joaquim Ernesto Bernardes [3 ]
Mincato, Ronaldo Luiz [4 ]
机构
[1] Univ Fed Alfenas UNIFAL, Programa Posgrad Geog, Alfenas, MG, Brazil
[2] Univ Fed Alfenas UNIFAL, Programa Posgrad Ciencias Ambientais, Alfenas, MG, Brazil
[3] Ctr Univ Paulinia UNIFACP, Paulinia, SP, Brazil
[4] Univ Fed Alfenas UNIFAL, Inst Ciencias Nat, Rua Gabriel Monteiro da Silva 700, BR-37130000 Alfenas, MG, Brazil
来源
REVISTA CIENCIA AGRONOMICA | 2023年 / 54卷
关键词
Key words; Modeling; RUSLE; Soil conservation; COVER-MANAGEMENT FACTOR; SOIL-EROSION; LOSSES; RUSLE; MODELS; USLE;
D O I
10.5935/1806-6690.20230054
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Water erosion is a natural geological process that is common in tropical regions. It is important to monitor it to contain its physical, environmental, and socio-economic impacts. In the Espirito Santo state, Brazil, much of the land is used for agriculture and studies related to water erosion are scarce. The spatial modeling of water erosion is useful for proposing mitigating measures because combining it with data from geographic information systems can identify the areas most prone to soil loss. The Revised Universal Soil Loss Equation - RUSLE, is a model that requires little input data and is easy to use, providing results useful of helping to mitigate water erosion and promote sustainable land use planning. This study estimates the water erosion rates in the Espirito Santo state by RUSLE and compares them with the soil loss tolerance (T) limits. The parameters used in the model are the land use and management, the soil attributes, the relief and the climate factors. Approximately 38.65% of the state's area shows soil loss above the T limit (7.79 - 14.14 Mg ha(-1) year(-1)). The areas with steeper slopes and low vegetation cover have most of the highest erosion rates. The mean annual soil loss of the entire state is 33.55 Mg ha-1 year-1. RUSLE provided a diagnosis useful of directing erosion mitigation measures to the most susceptible areas, enabling sustainable planning to support the state's socio-economic development.
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页数:10
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