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| Siqueira,Tirzah M.; Louzada,José A. S.; Pedrollo,Olavo C.; Castro,Nilza M. dos R.; Oliveira,Marquis H. C. de. |
| ABSTRACT The processes of water flow and water storage in the soil are directly associated with its hydraulic properties, which may vary significantly in space. Therefore, this study aimed to perform a spatial analysis of saturated hydraulic conductivity and the parameters of the soil water retention curve in the Donato basin, located in the municipality of Pejuçara, in the northwest region of the state of Rio Grande do Sul, Brazil, with geographic coordinates between 28º 25’ 34” S and 53º 40’ 30” W, and 28º 24’ 50” S and 53º 41’ 30” W, 590 m of altitude. Undisturbed soil samples (total of 55) were collected from August to November of 2012. The results have demonstrated larger variability for hydraulic conductivity and for the parameter α of the retention... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Saturated hydraulic conductivity; Retention curve; Soil heterogeneity. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000900669 |
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| Siqueira,Tirzah M.; Louzada,José A. S.; Pedrollo,Olavo C.; Castro,Nilza M. dos R.; Oliveira,Marquis H. C. de. |
| ABSTRACT Geostatistical simulation has been the most promising and used technique for the analysis of uncertainties of soil physical and hydraulic properties, with high spatial heterogeneity. This study carried out a stochastic analysis of saturated hydraulic conductivity (Ksat) and soil water retention curve parameters in the Donato stream basin, located in the municipality of Pejuçara, in the state of Rio Grande do Sul, Brazil, with geographic coordinates between 28º 25’ 34” S and 53º 40’ 30” W, and 28º 24’ 50” S and 53º 41’ 30” W, 590 m of altitude. Soil samples were collected during the period from August to November of 2012. Sequential Gaussian simulation technique was used to generate 100 random fields of each variable. The results showed great... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Sequential Gaussian simulation; Random fields; Spatial variability analysis. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000900675 |
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| Silva,Kayoma K. da; Siqueira,Tirzah M.; Adam,Katiucia N.; Castro,Andréa S.; Corrêa,Luciara B.; Leandro,Diuliana. |
| ABSTRACT Changes in temperature and precipitation intensity and frequency have influenced the water demand for irrigation. Regions that have agriculture-based economies, as in the Ijuí River basin, are often affected by periods of drought or excessive rainfall, which is harmful for agricultural productivity. This study aimed to evaluate future irrigation water demands of four crops in this basin (bean, corn, wheat and soybean), comparing them with a baseline period. Meteorological data forecasts were obtained from the regional climate model ETA 40 CTRL for the climatic scenario A1B, for the baseline (1961-1990) and future (2011-2100) periods. The one-dimensional SWAP model was used to estimate the water demand for irrigation. The results showed that, in... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Climate changes; Agriculture; SWAP model. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662018000100057 |
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