Variabilidade espacial dos teores foliares de nutrientes em um pomar de citros sob irrigação localizada

This study aimed to evaluate the spatial variability of leaf content of macro and micronutrients. The citrus plants orchard with 5 years of age, planted at regular intervals of 8 x 7 m, was managed under drip irrigation. Leaf samples were collected from each plant to be analyzed in the laboratory. Data were analyzed using the software R, version 2.5.1 Copyright (C) 2007, along with geostatistics package GeoR. All contents of macro and micronutrients studied were adjusted to normal distribution and showed spatial dependence.The best-fit models, based on the likelihood, for the macro and micronutrients were the spherical and matern. It is suggest for the macronutrients nitrogen, phosphorus, potassium, calcium, magnesium and sulfur the minimum distances between samples of 37; 58; 29; 63; 46 and 15 m respectively, while for the micronutrients boron, copper, iron, manganese and zinc, the distances suggests are 29; 9; 113; 35 and 14 m, respectively

To what extent can a sediment yield model be trusted? A case study from the passaúna catchment, brazil

Soil degradation and reservoir siltation are two of the major actual environmental, scientific, and engineering challenges. With the actual trend of world population increase, further pressure is expected on both water and soil systems around the world. Soil degradation and reservoir siltation are, however, strongly interlinked with the erosion processes that take place in the hydrological catchments, as both are consequences of these processes. Due to the spatial scale and duration of erosion events, the installation and operation of monitoring systems are rather cost- and time-consuming. Modeling is a feasible alternative for assessing the soil loss adequately. In this study, the possibility of adopting reservoir sediment stock as a validation measure for a monthly time-step sediment input model was investigated. For the assessment of sediment stock in the reservoir, the commercial free-fall penetrometer GraviProbe (GP) was used, while the calculation of sediment yield was calculated by combining a revised universal soil loss equation (RUSLE)-based model with a sediment delivery ratio model based on the connectivity approach. For the RUSLE factors, a combination of remote sensing, literature review, and conventional sampling was used. For calculation of the C Factor, satellite imagery from the Sentinel-2 platform was used. The C Factor was derived from an empirical approach by combining the normalized difference vegetation index (NDVI), the degree of soil sealing, and land-use/land-cover data. The key research objective of this study was to examine to what extent a reservoir can be used to validate a long-term erosion model, and to find out the limiting factors in this regard. Another focus was to assess the potential improvements in erosion modeling from the use of Sentinel-2 data. The use of such data showed good potential to improve the overall spatial and temporal performance of the model and also dictated further opportunities for using such types of model as reliable decision support systems for sustainable catchment management and reservoir protection measures

Development and analysis of the Soil Water Infiltration Global database

In this paper, we present and analyze a novel global database of soil infiltration measurements, the Soil Water Infiltration Global (SWIG) database. In total, 5023 infiltration curves were collected across all continents in the SWIG database. These data were either provided and quality checked by the scientists who performed the experiments or they were digitized from published articles. Data from 54 different countries were included in the database with major contributions from Iran, China, and the USA. In addition to its extensive geographical coverage, the collected infiltration curves cover research from 1976 to late 2017. Basic information on measurement location and method, soil properties, and land use was gathered along with the infiltration data, making the database valuable for the development of pedotransfer functions (PTFs) for estimating soil hydraulic properties, for the evaluation of infiltration measurement methods, and for developing and validating infiltration models. Soil textural information (clay, silt, and sand content) is available for 3842 out of 5023 infiltration measurements ( ∼ 76%) covering nearly all soil USDA textural classes except for the sandy clay and silt classes. Information on land use is available for 76% of the experimental sites with agricultural land use as the dominant type ( ∼ 40%). We are convinced that the SWIG database will allow for a better parameterization of the infiltration process in land surface models and for testing infiltration models. All collected data and related soil characteristics are provided online in *.xlsx and *.csv formats for reference, and we add a disclaimer that the database is for public domain use only and can be copied freely by referencing it. Supplementary data are available at https://doi.org/10.1594/PANGAEA.885492 (Rahmati et al., 2018). Data quality assessment is strongly advised prior to any use of this database. Finally, we would like to encourage scientists to extend and update the SWIG database by uploading new data to it

Avaliação do sistema de pulverização com funcionamento intermitente, acoplado ao pivô central, Notliada Evaluation of a pulverization system, with emitters working in intermittent mode, on a Notliada central pivot

Teve-se como objetivo, no presente trabalho, avaliar o desvio existente entre as vazões estimadas e observadas dos emissores presentes no sistema de pulverização acoplado ao pivô central, Notliada. Os testes foram realizados em um protótipo do sistema, montado em uma área anexa ao Laboratório de Hidráulica do Departamento de Engenharia Rural (LER) pertencente à Escola Superior de Agricultura "Luiz de Queiroz" - ESALQ/USP. Os resultados obtidos mostraram que os modelos gerados dos desvios relativos existentes entre as vazões estimadas e observadas em função da freqüência de operação da válvula solenóide apresentaram excelentes índices de precisão e exatidão. Encontrou-se um tempo mínimo de 1,0 s em que a válvula solenóide deve permanecer ligada para os emissores de diâmetro 1,212 (preto), 1,016 (vermelho) e 1,020 mm (laranja); para o emissor de diâmetro 0,621mm (azul), esse tempo mínimo encontrado foi de 1,4 s. A mesma válvula pode permanecer desligada durante qualquer intervalo de tempo entre 3 e 9 s para todos os emissores testados. Os emissores preto e laranja indicaram índices inaceitáveis de uniformidade de aplicação para tempos de acionamento menores que 0,7 s. Os emissores azul e vermelho indicaram excelentes índices para qualquer intervalo de tempo de acionamento. Enfim, todos os emissores indicaram excelentes índices de uniformidade para todos os intervalos de tempo de desligamento da válvula solenóide testados.<br>The aim of this study was to evaluate the difference between estimated and observed emitter flow rates presented by the Notliada pulverization system. The research was undertaken in the Hydraulic Laboratory/Rural Engineering Department at "Luiz de Queiroz" College of Agriculture, University of São Paulo, Brazil. The proposed models showed excellent precision and accuracy indexes. It was determine that emitters of diameter 1.212 (black), 1.016 (red) and 1.020 mm (orange); the solenoid valve must stay turned on for a minimum time of 1.0 s. For the blue emitter of 0.621 mm diameter, this time was 1.4 s. The solenoid valve can be kept turned off for any time between 3 and 9 s. The black and orange emitters had unacceptable uniformity application indexes for turn on times less than 0.7 s. The blue and red emitters had excellent indexes for any tested turn on times. All emitters had excellent uniformity indexes for all tested turn off times used on the solenoid valve

Development and analysis of the Soil Water Infiltration Global database

In this paper, we present and analyze a global database of soil infiltration measurements, the Soil Water Infiltration Global (SWIG) database, for the first time. In total, 5023 infiltration curves were collected across all continents in the SWIG database. These data were either provided and quality checked by the scientists who performed the experiments or they were digitized from published articles. Data from 54 different countries were included in the database with major contributions from Iran, China, and USA. In addition to its global spatial coverage, the collected infiltration curves cover a time span of research from 1976 to late 2017. Basic information on measurement location and method, soil properties, and land use were gathered along with the infiltration data, which makes the database valuable for the development of pedo-transfer functions for estimating soil hydraulic properties, for the evaluation of infiltration measurement methods, and for developing and validating infiltration models. Soil textural information (clay, silt, and sand content) is available for 3842 out of 5023 infiltration measurements (~76&thinsp;%) covering nearly all soil USDA textural classes except for the sandy clay and silt classes. Information on the land use is available for 76&thinsp;% of experimental sites with agricultural land use as the dominant type (~40&thinsp;%). We are convinced that the SWIG database will allow for a better parameterization of the infiltration process in land surface models and for testing infiltration models. All collected data and related soil characteristics are provided online in *.xlsx and *.csv formats for reference, and we add a disclaimer that the database is for use by public domain only and can be copied freely by referencing it. Supplementary data are available at doi:10.1594/PANGAEA.885492. Data quality assessment is strongly advised prior to any use of this database. Finally, we would like to encourage scientists to extend/update the SWIG by uploading new data to it

Development and analysis of the Soil Water Infiltration Global database

© Author(s) 2018. In this paper, we present and analyze a novel global database of soil infiltration measurements, the Soil Water Infiltration Global (SWIG) database. In total, 5023 infiltration curves were collected across all continents in the SWIG database. These data were either provided and quality checked by the scientists who performed the experiments or they were digitized from published articles. Data from 54 different countries were included in the database with major contributions from Iran, China, and the USA. In addition to its extensive geographical coverage, the collected infiltration curves cover research from 1976 to late 2017. Basic information on measurement location and method, soil properties, and land use was gathered along with the infiltration data, making the database valuable for the development of pedotransfer functions (PTFs) for estimating soil hydraulic properties, for the evaluation of infiltration measurement methods, and for developing and validating infiltration models. Soil textural information (clay, silt, and sand content) is available for 3842 out of 5023 infiltration measurements (∼76%) covering nearly all soil USDA textural classes except for the sandy clay and silt classes. Information on land use is available for 76ĝ€% of the experimental sites with agricultural land use as the dominant type (∼40%). We are convinced that the SWIG database will allow for a better parameterization of the infiltration process in land surface models and for testing infiltration models. All collected data and related soil characteristics are provided online in ∗.xlsx and ∗.csv formats for reference, and we add a disclaimer that the database is for public domain use only and can be copied freely by referencing it. Supplementary data are available at https://doi.org/10.1594/PANGAEA.885492 (Rahmati et al., 2018). Data quality assessment is strongly advised prior to any use of this database. Finally, we would like to encourage scientists to extend and update the SWIG database by uploading new data to it.status: publishe