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1.
Sci Total Environ ; 838(Pt 2): 156181, 2022 Sep 10.
Artículo en Inglés | MEDLINE | ID: mdl-35618131

RESUMEN

Viticulture is gradually shifting to more sustainable production systems and a fair number of studies aim at assessing the environmental impacts of different technologies and techniques adopted in the wine production through the Life Cycle Assessment approach. The main environmental issues identified are on water, soil and energy use, management of organic and inorganic solid waste streams, greenhouse gas emissions and use of chemicals. Precision viticulture (PV) techniques can play an important role in the sustainable use of water and fertilizers in grape production, thanks to the site-specific application of these inputs, improving yield and quality of grapes while minimizing negative effects on the environment. However, PV often implies investments and additional management costs. The objective of this study is to compare different strategies for the management of water and fertilizers in vineyards, ranging from the conventional ones to the most technologically advanced, to assess their sustainability both from an economic and an environmental point of view. Six scenarios have been explored, considering different irrigation water supply systems, and irrigation and fertilizer management strategies. A multidisciplinary approach, including Life Cycle Assessment, economic assessment and multivariate analysis was used to assess the sustainability of the different vineyard management approaches. The results show the higher economic and environmental sustainability for the scenario considering irrigation water supplied from an irrigation consortium, a variable rate drip irrigation system for irrigation and fertigation. Finally, also according to PCA results, at least for the scenarios explored in the study, the introduction of PV technologies led to the reduction of environmental impacts and to the increase in economic advantages, which showed to be inversely correlated.


Asunto(s)
Fertilizantes , Vitis , Agricultura/métodos , Granjas , Fertilizantes/análisis , Suelo , Agua
2.
Sensors (Basel) ; 19(18)2019 Sep 14.
Artículo en Inglés | MEDLINE | ID: mdl-31540098

RESUMEN

Soil electrical conductivity (EC) maps obtained through proximal soil sensing (i.e., geophysical data) are usually considered to delineate homogeneous site-specific management zones (SSMZ), used in Precision Agriculture to improve crop production. The recent literature recommends the integration of geophysical soil monitoring data with crop information acquired through multispectral (VIS-NIR) imagery. In non-flat areas, where topography can influence the soil water conditions and consequently the crop water status and the crop yield, considering topography data together with soil and crop data may improve the SSMZ delineation. The objective of this study was the fusion of EC and VIS-NIR data to delineate SSMZs in a rain-fed vineyard located in Northern Italy (Franciacorta), and the assessment of the obtained SSMZ map through the comparison with data acquired by a thermal infrared (TIR) survey carried out during a hot and dry period of the 2017 agricultural season. Data integration is performed by applying multivariate statistical methods (i.e., Principal Component Analysis). The results show that the combined use of soil, topography and crop information improves the SSMZ delineation. Indeed, the correspondence between the SSMZ map and the CWSI map derived from TIR imagery was enhanced by including the NDVI information.

3.
Environ Sci Pollut Res Int ; 26(21): 21274-21294, 2019 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-31124062

RESUMEN

Rice cultivation requires a large use of pesticides and nutrients to control weed proliferation and improve production. The water quality of four neighboring rice fields located in the Lomellina area (Italian Padana plain) was monitored in this study along with the cultivation period (before, during, and after the period of planting), for two successive agricultural seasons (2015 and 2016). Two paddy fields were traditionally cultivated with wet-seeding and the other fields with dry-seeding. Eighteen sampling points were considered: eight points for surface water, two points for underground water, and eight points for porous cups with two different depths. In order to evaluate the goodness of the paddy field system to maintain unchanged the quality of the inflow with respect to the outflow water, three of the most used herbicides in Italian rice cultivation (imazamox, oxadiazon, and profoxydim) and other physical-chemical parameters were determined, namely biological oxygen demand after 5 days; chemical oxygen demand; total suspended solids; anionic surfactants; total hardness; total amount of phosphorus, nitrogen, and potassium; and heavy metal concentrations. In general, all the collected data confirmed that paddy fields did not contribute to worsen the environmental pollution. The different flooding techniques adopted in the fields did not highlight significant differences in concentrations of pesticides or metals. The pesticides reached their maximum concentration (of the magnitude order of few ng mL-1) on the day after the administration and on the day after the application in the adjacent field. A slight reduction of total As in grain was obtained adopting a dry period from steam elongation up to booting. From the collected data, it was possible to identify a general water flow direction in the paddy fields from north-west to south-east: this prevailing flow direction was useful to understand not only the diffusion of the pesticides and their degradation products in the fields but also that of the nutrients. Concerning nutrients, it was important not to activate a recirculation of the water in the field during the first 10 days from the administration, in order to avoid loss of nitrogen in the water vents or for percolation. Moreover, the monitoring of potassium concentration allowed to avoid the use of unnecessary potassic fertilization when there was already a high amount of this element in the paddy field derived from irrigation. However, all the investigated water quality parameters were under the limits fixed by the European regulation. In addition, the presence of seven unexpected compounds was identified by the nontarget approach in both campaigns in samples collected in the early summer period. Four of these emerging contaminants were identified as N,N-diethyl-meta-toluamide, tricyclazole, amidosulfuron, and one of the imazamox photodegradation products. Although the obtained low concentrations of oxadiazion, tricyclazole, and arsenic, in particular, justified a preexisting contamination of the water inflow or of the investigated paddy area, the obtained results supported the good quality of the paddy water outflow, confirming the rational use of the water resource and the correct use of agronomic practices.


Asunto(s)
Agricultura , Monitoreo del Ambiente , Oryza/crecimiento & desarrollo , Contaminantes Químicos del Agua/análisis , Arsénico , Granjas , Agua Subterránea , Metales Pesados/análisis , Nitrógeno/análisis , Oryza/química , Plaguicidas/análisis , Fósforo/análisis , Agua/química , Calidad del Agua
4.
Environ Monit Assess ; 187(9): 586, 2015 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-26307688

RESUMEN

The cultivation of rice, one of the most important staple crops worldwide, has very high water requirements. A variety of irrigation practices are applied, whose pros and cons, both in terms of water productivity and of their effects on the environment, are not completely understood yet. The continuous monitoring of irrigation and rainfall inputs, as well as of soil water dynamics, is a very important factor in the analysis of these practices. At the same time, however, it represents a challenging and costly task because of the complexity of the processes involved, of the difference in nature and magnitude of the driving variables and of the high variety of field conditions. In this paper, we present the prototype of an integrated, multisensor system for the continuous monitoring of water dynamics in rice fields under different irrigation regimes. The system consists of the following: (1) flow measurement devices for the monitoring of irrigation supply and tailwater drainage; (2) piezometers for groundwater level monitoring; (3) level gauges for monitoring the flooding depth; (4) multilevel tensiometers and moisture sensor clusters to monitor soil water status; (5) eddy covariance station for the estimation of evapotranspiration fluxes and (6) wireless transmission devices and software interface for data transfer, storage and control from remote computer. The system is modular and it is replicable in different field conditions. It was successfully applied over a 2-year period in three experimental plots in Northern Italy, each one with a different water management strategy. In the paper, we present information concerning the different instruments selected, their interconnections and their integration in a common remote control scheme. We also provide considerations and figures on the material and labour costs of the installation and management of the system.


Asunto(s)
Agricultura/métodos , Oryza , Agua , Inundaciones , Agua Subterránea , Italia , Programas Informáticos , Suelo/química , Tecnología Inalámbrica
5.
J Environ Manage ; 86(1): 272-81, 2008 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-17296259

RESUMEN

The weights of evidence (WofE) modeling technique has been used to analyze both natural and anthropogenic factors influencing the occurrence of high nitrate concentrations in groundwater resources located in the central part of the Po Plain (Northern Italy). The proposed methodology applied in the Lodi District combines measurements of nitrate concentrations, carried out by means of a monitoring net of 69 wells, with spatial data representing both categorical and numerical variables. These variables describe either potential sources of nitrate and the relative ease with which it may migrate towards groundwater. They include population density, nitrogen fertilizer loading, groundwater recharge, soil protective capacity, vadose zone permeability, groundwater depth, and saturated zone permeability. Once conditional dependence problems among factors have been solved and validation tests performed, the statistical approach has highlighted negative and positive correlations between geoenvironmental factors and nitrate concentration in groundwater. These results have been achieved analysing the calculated statistical parameters (weights, contrasts, normalized contrasts) of each class by which each factor has been previously subdivided. This has permitted to outline: the overall influence each factor has on the presence/absence of nitrate; the range of their values mostly influencing this presence/absence; the most and least critical combination of factor classes existing in each specific zone; areas where the influence of impacting factor classes is reduced by the presence of not impacting factor classes. This last aspect could represent an important support for a correct land use management to preserve groundwater quality.


Asunto(s)
Modelos Teóricos , Nitratos/análisis , Contaminantes Químicos del Agua/análisis , Abastecimiento de Agua/análisis , Teorema de Bayes , Monitoreo del Ambiente/estadística & datos numéricos , Italia
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