ABSTRACT
The balance between precipitation and evapotranspiration (ET) has direct effect on vegetation, and any change in its structure and composition can influence it. The aim of this study is to determine experimentally the daily evapotranspiration (ET) of the invasive species, Hedychium coronarium, and to compare with a group of four native species of the riparian forest. The experiment was carried out in a greenhouse with three different treatments: (1) only the invasive species; (2) only native species; and (3) a mixture of invasive and native species. In each lysimeter, pressure transducers recorded the water level at every 15 min along 14 months. Daily ET was calculated by the method of Gribovszki et al. (2008) and varied according to the treatment, indicating that different species (invasive or native) use the water differently. The maximum accumulated daily ET occurred for mixture treatment (2540.16 mm), while the treatment with the invasive plant presented the lowest value (2172.53 mm). H. coronarium, in monodominant stands, can reduce evapotranspiration on invaded areas and increase it when immersed in the riparian forest.
ABSTRACT
Automated soil moisture systems are commonly used in precision agriculture. Using low-cost sensors, the spatial extension can be maximized, but the accuracy might be reduced. In this paper, we address the trade-off between cost and accuracy comparing low-cost and commercial soil moisture sensors. The analysis is based on the capacitive sensor SKU:SEN0193 tested under lab and field conditions. In addition to individual calibration, two simplified calibration techniques are proposed: universal calibration, based on all 63 sensors, and a single-point calibration using the sensor response in dry soil. During the second stage of testing, the sensors were coupled to a low-cost monitoring station and installed in the field. The sensors were capable of measuring daily and seasonal oscillations in soil moisture resulting from solar radiation and precipitation. The low-cost sensor performance was compared to commercial sensors based on five variables: (1) cost, (2) accuracy, (3) qualified labor demand, (4) sample volume, and (5) life expectancy. Commercial sensors provide single-point information with high reliability but at a high acquisition cost, while low-cost sensors can be acquired in larger numbers at a lower cost, allowing for more detailed spatial and temporal observations, but with medium accuracy. The use of SKU sensors is then indicated for short-term and limited-budget projects in which high accuracy of the collected data is not required.
ABSTRACT
General Circulation and Earth System Models are the most advanced tools for investigating climate responses to future scenarios of greenhouse gas emissions, playing the role of projecting the climate throughout the century. Nevertheless, climate projections are model-dependent and may show systematic biases, requiring a bias correction for any further application. Here, we provide a dataset based on an ensemble of 19 bias-corrected CMIP6 climate models projections for the Brazilian territory based on the SSP2-4.5 and SSP5-8.5 scenarios. We used the Quantile Delta Mapping approach to bias-correct daily time-series of precipitation, maximum and minimum temperature, solar net radiation, near-surface wind speed, and relative humidity. The bias-corrected dataset is available for both historical (1980-2013) and future (2015-2100) simulations at a 0.25° × 0.25° spatial resolution. Besides the gridded product, we provide area-averaged projections for 735 catchments included in the Catchments Attributes for Brazil (CABra) dataset. The dataset provides important variables commonly used in environmental and hydroclimatological studies, paving the way for the development of high-quality research on climate change impacts in Brazil.
ABSTRACT
RESUMO: A gestão de recursos hídricos no Brasil é prejudicada pela carência de informações hidrológicas, que pode ser suprida pelos modelos hidrológicos que simulam o comportamento das bacias hidrográficas. Entretanto, muitos modelos não geram bons resultados quando executados fora da área de estudo onde foram criados. Por isso, devido à sua adaptabilidade, o modelo J2000 inserido no framework Jena Adaptable Modelling System (JAMS) foi avaliado para simulação de duas bacias hidrográficas inseridas na zona de afloramento do Sistema Aquífero Guarani, a Bacia Hidrográfica do Ribeirão da Onça (BRO) e a Microbacia do Córrego Cavalheiro (BCC), nos municípios de Brotas e Analândia, respectivamente, no estado de São Paulo. O framework JAMS apresentou-se como um sistema simplificado para uso, flexível diante das adaptações necessárias para compatibilização com as características climatológicas e hidrológicas das áreas de estudo. O modelo J2000 mostrou-se eficiente na predição da resposta hidrológica das bacias hidrográficas, apresentando um coeficiente de Nash-Sutcliffe (NSE) de 0,76 e 0,81, para os períodos de calibração e validação da BRO; e 0,76 e 0,56, para os períodos de calibração e validação da BCC, respectivamente. O erro absoluto, calculado pelo valor da raiz do erro quadrático médio, foi considerado baixo por apresentar valores de 0,14 e 0,18 m³.s-1 para os períodos de calibração e validação da BRO; e 0,02 e 0,03 m³s-1 para os períodos de calibração e validação da BCC, respectivamente. Portanto, o J2000/JAMS mostrou-se como um candidato potencial para modelagem hidrológica de bacias hidrográficas do estado de São Paulo, podendo ser utilizado para estudos sobre as relações entre a localização do uso do solo na bacia hidrográfica e a geração de escoamento.
ABSTRACT: The water resources management in Brazil is affected by the lack of hydrological information, which can be filled by hydrological models that simulate the behavior of watersheds. However, it was noticed that many models do not generate good results when performed outside of the study area where they were created. Therefore, due to its adaptability, the J2000 model linked into the Jena Adaptable Modelling System (JAMS) framework was evaluated for simulating two basins at the outcrop zone of the Guarani Aquifer System, the Ribeirão da Onça watershed (BRO) and the Córrego Cavalheiro watershed (BCC), located at Brotas and Analândia cities, respectively, in the state of São Paulo, Brazil. The JAMS framework was presented as a flexible and easy to use system, admitting all the necessary adaptations for compliance with the climatological and hydrological characteristics of the study areas. The J2000 model proved to be effective in predicting the hydrological response of watersheds, with a Nash-Sutcliffe coefficient of 0.76 and 0.81, for periods of calibration and validation of the BRO; and 0.76 and 0.56, for periods of calibration and validation of the BCC, respectively. The absolute error, calculated with the root of mean square error value, was considered low by the present values of 0.14 and 0.18 m³.s- 1, for periods of calibration and validation of the BRO; and 0.02 and 0.03 m³.s- 1, for periods of calibration and validation of the BCC, respectively. Therefore, the J2000/JAMS showed up as a potential candidate for hydrological modeling of watersheds in São Paulo, and may be used for studies on the relationship between the location of land use in the watershed and the generation flow.
