scholarly journals Estimativa da erosividade da chuva na bacia hidrográfica do rio Juma com base em dados do satélite TRMM / Estimation of rain erosion in the Juma river basin based on TRMM satellite data

2019 ◽  
Vol 29 (56) ◽  
pp. 45
Author(s):  
Miqueias Lima Duarte ◽  
Eliomar Pereira da Silva Filho
Keyword(s):  
River Basin ◽  
Soil Degradation ◽  
Prevention And Control ◽  
Rainfall Erosivity ◽  
Territorial Planning ◽  
Surface Data ◽  
Historical Series ◽  
Erosivity Index ◽  
And Control ◽  
Rain Erosion

Conhecer o potencial da chuva em causar erosão do solo é de fundamental importância para a compreensão da fragilidade de uma região, essas informações podem ser utilizadas na prevenção e controle da degradação do solo, auxiliando o planejamento territorial. Este estudo tem por objetivo estimar a erosividade da chuva na bacia hidrográfica do rio Juma, no sul do estado do Amazonas. Foram utilizados dados mensais pluviométricos do produto 3B42-V7 do sensor TRMM obtidos na plataforma Giovanni e comparados com dados de superfície, para a série histórica de 1998 a 2016. O índice de erosividade da chuva foi obtido a partir de um modelo proposto por Oliveira Jr e Medina (1990) desenvolvido para a região. Os resultados obtidos apontam que a variação espacial do índice de erosividade da chuva ao longo da bacia do rio Juma foi pequena (média de 11,66 MJ.mm.ha-1.h-1.ano-1), as maiores variações estão relacionadas a sazonalidade regional, sendo que o mês de julho apresenta o menor índice de erosividade médio (47,74 MJ.mm.ha-1.h-1.ano-1), enquanto que o mês de fevereiro apresentou o maior índice de erosividade (145,73 MJ.mm.ha-1.h-1.ano-1).Palavras–chave: Potencial erosivo da chuva, Degradação do solo, Sensor orbital.Abstract Knowing the potential of rain to cause soil erosion is of fundamental importance to understand the fragility of a region, this information can be used in the prevention and control of soil degradation, assisting the territorial planning. This study aims to estimate the rainfall erosivity in the river basin of the Juma, in the south of the state of Amazonas. Monthly rainfall data from the 3B42-V7 TRMM sensor product obtained from the Giovanni platform and compared with surface data were used for the historical series from 1998 to 2016. The rainfall erosivity index was obtained from a model proposed by Oliveira Jr and Medina (1990) developed for the region. The results indicate that the spatial variation of the rainfall erosivity index along the Juma river basin was small (mean of 11.66 MJ.mm.ha-1.h-1.year-1), the most significant variations are related to regional seasonality, and the month of July It has the lowest mean erosivity index (47.74 MJ.mm.ha-1.h-1.year-1), while February presented the highest erosivity index (145.73 MJ.mm.ha-1.h-1.year-1).Keywords: Erosive potential of rain, Soil degradation, Orbital Sensor.

Analysis on historical flood and countermeasures in prevention and control of flood in Daqing River Basin

2021 ◽  
Vol 196 ◽  
pp. 110895
Author(s):  
Sun Tong ◽  
Cheng Wu-Qun ◽  
Bo Qiu-Yu ◽  
Meng Xiao ◽  
Liang Dong
Keyword(s):  
River Basin ◽  
Prevention And Control ◽  
And Control

scholarly journals Susceptibility to erosion risks in soils dedicated to the pineapple cultivation in the state of Valle del Cauca, Colombia

2021 ◽  
Vol 25 (2) ◽  
pp. 201-206
Author(s):  
Carolina Martinez López ◽  
Albin Osvaldo Rivera Paja ◽  
Juan Carlos Menjivar Flores
Keyword(s):  
River Basin ◽  
The State ◽  
Rainfall Erosivity ◽  
Topographic Factor ◽  
Erosivity Index ◽  
Weather Stations ◽  
Valle Del Cauca ◽  
High Level ◽  
Very High ◽  
Soil Losses

In Colombia almost half of the soils are prone to erosion, where Valle del Cauca is one of the most affected departments with respect to its severity. In order to identify the susceptibility to erosion risks in terms of the rainfall erosivity and the incidence of the topographic factor in the main pineapple producing municipalities of the department, a study was carried out that contemplated the historical climatological information of more than 50 years, for which all available weather stations in the area were selected. The erosivity index (R–EI30), the modified Fournier index (MFI), and the topographic factor (LS) were estimated. The results indicate that the average MFI values ranged between (91.31 and 582.79) which correspond to the moderate, high and very high categories, the results of R-EI30 presented moderate, high, very high and extremely severe values (5076.91 MJ.mm.ha-1 - 22718.83 MJ.mm.ha-1), while the highest values of the topographic factor (with slopes up to 81°) coincide with the upper part of the river basin Dagua, predominantly in the municipality of Dagua. These values indicate that the soils in the area are susceptible to erosion risks depending on the rainfall erosivity and the topographic factor at a moderate, high and very high level, which can generate significant soil losses, and therefore they should be considered when establishing a pineapple crop.

Linking decision-making research and cancer prevention and control: Important themes.

2005 ◽  
Vol 24 (4, Suppl) ◽  
pp. S106-S110 ◽  
Author(s):  
Kevin D. McCaul ◽  
Ellen Peters ◽  
Wendy Nelson ◽  
Michael Stefanek
Keyword(s):  
Decision Making ◽  
Cancer Prevention ◽  
Prevention And Control ◽  
Cancer Prevention And Control ◽  
And Control
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