Impactes do Preço da Água na Agricultura no Perímetro Irrigado do Vale de Caxito,

Jerónimo, Jaime Agostinho; Henriques, Pedro Damião de Sousa; Carvalho, Maria Leonor da Silva

doi:10.1590/1234-56781806-9479005304008

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…Water is important for agricultural production and the rational management of water is decisive for plant development and sustainability of water resources. Geronimo et al (2015) pointed out that an inefficient use of the available water resources may result in water shortage in the future. Information on water distribution in the soil is important and directly affects crop yields (Souza & Matsura, 2004).…”

Section: Introductionmentioning

confidence: 99%

Management of trickle irrigation for banana: Hydrodynamic processes and sensor placement at the root zone

Santana

Coelho

Santos

et al. 2021

Rev. bras. eng. agríc. ambient.

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Information on soil hydrodynamic processes assists in explaining the soil-water-plant relationship and has practical applications to irrigation management, such as the definition of soil water sensor placement. The objective of this study was to detail the hydrodynamic process in the soil root zone and to define the location for placement of soil water sensor under different configurations of trickle irrigation in banana crops. Three micro-sprinkler emitters with flow rates of 70 (T1), 53 (T2), 35 L h-1 (T3), and two drip system, one with one drip line per row of plants (T4), and another with two drip lines per row of plants (T5) were evaluated. The experiment was conducted in a randomized block design with five repetitions. Higher water extraction was found for irrigation systems with higher flow rates for all configurations of trickle irrigation systems. Soil moisture sensors in drip systems should be placed at distances of 0.75 to 0.81 m from the pseudo stem and at depths of 0.33 to 0.44 m. Under micro-sprinkler systems, soil water sensors should be placed at 0.75, 0.77 and 0.83 m from the pseudo stem towards to the emitter and at depths of 0.33, 0.48 and 0.55 m for emitter flow rates of 35, 53 and 70 L h-1, respectively.

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Section: Introductionmentioning

confidence: 99%

Management of trickle irrigation for banana: Hydrodynamic processes and sensor placement at the root zone

Santana

Coelho

Santos

et al. 2021

Rev. bras. eng. agríc. ambient.

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“…The efficient use of water resources is reinforced by the possibility of scarcity in the future (JERÓNIMO; HENRIQUES; CARVALHO, 2015). Adequate water management practices are essential for the sustainability of irrigated agriculture.…”

Section: Introductionmentioning

confidence: 99%

Effect of Sample Re-Saturation on Soil-Water Characteristic Curve

et al. 2018

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-Soil-water characteristic curve (SWCC) is an important tool for water management in irrigated agriculture. However, factors such as texture and structure of soils influence SWCC behavior. According to the literature, wetting and drying cycles alter SWCC. A similar process of re-saturation and drying occurs during SWCC obtainment under laboratory conditions. Based on the hypothesis that re-saturation process alters SWCC due to clay loss in the sample, this study aimed to obtain the SWCC, S index, and pore size distribution from samples submitted to re-saturation cycles, as well as from not re-saturated samples but under higher matric potentials (−2, −4, −6, −8, and −10 kPa). For this, disturbed and undisturbed soil samples, collected from the A (sandy texture) and Btg (sandy clay loam texture) horizons of a Argissolo Acizentado, were used. After obtaining SWCC, each air-dried soil sample was submitted to particle size and clay dispersed in water analyses to verify whether the soil lost clay. The experimental design was a completely randomized design with two methods of SWCC constructing (with and without re-saturation) and eight replications. The re-saturation process generates a loss of clay in the sample, not causing significant changes in SWCC considering the assessed textural soil classes. In addition, sandy soil samples are more sensitive to changes in pore size distribution when submitted to re-saturation.Keywords: Irrigation management. Soil porosity. Water in soil.EFEITO DA RESSATURAÇÃO DA AMOSTRA SOBRE A CURVA CARACTERÍSTICA DE ÁGUA NO SOLO RESUMO -A curva característica de água no solo (CCAS) constitui importante ferramenta no manejo da água na agricultura irrigada. Entretanto, vale ressaltar que fatores como textura e estrutura do solo influenciam seu comportamento. Há informações na literatura que ciclos de umedecimento e secagem alteram a CCAS. Saliente-se que processo similar, de ressaturação e secagem, ocorre durante a obtenção da CCAS em laboratório. Tendo como hipótese que o processo de ressaturação, por provocar perda de argila na amostra, altera a CCAS, objetivou-se obter a CCAS, o índice S e a distribuição dos poros por tamanho a partir de amostras submetidas a ciclos de ressaturação em oposição àquelas não sujeitas a este processo em maiores potenciais mátricos (−2, −4, −6, −8 e −10 kPa). Para tanto, utilizaram-se amostras com estrutura deformada e indeformada, coletadas do horizonte A (textura arenosa) e Btg (textura franco argilo-arenosa) de um Argissolo Acinzentado. Após a obtenção da CCAS, cada amostra foi levada à condição de terra fina seca ao ar e submetida à análise granulométrica e de argila dispersa em água para verificar se houve perda de argila. O delineamento estatístico foi o inteiramente casualizado, com dois métodos de construção da CCAS -com e sem ressaturação -e oito repetições. Concluiu-se que o processo de ressaturação gera perda de argila na amostra, mas não provoca alterações significativas na CCAS nas classes texturais avaliadas; e que as amostras de solo de t...

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“…al, 2011;Zhou et al, 2015;Aidam, 2015;Zhaoa et al 2016;Bozorg-Haddad et al, 2016; Expósito e Berbel, 2017); tem-se os trabalhos mais metodológicos, voltados a apresentar os métodos e técnicas para estimar o preço da água(Johansson, 2000; Faria e Nogueira, 2004; Molle e Berkoff, 2007; Ayoo e Horbulyk, 2008;Pizaia et al, 2009; Nikouei e Ward, 2013;Coopera et al, 2014, Bithas et al, 2014, Jerónimo et al, 2015; e, há, ainda, estudos sobre o preço da água urbana(Faria e Nogueira, 2004;Montginoul, 2007;Pesic et al, 2013; Serrano e Carvalho, 2013; Farolfi e Gallego-Ayala, 2014;Kanakoudisa et al, 2016; Molinos-Senante e Donoso, 2016). No entanto, esses tipos de abordagem não serão utilizados por não fazerem parte do escopo do trabalho.…”

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Análise do custo-benefício da exportação de água virtual no setor agropecuário brasileiro

Gelain¹

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Dedico este trabalho aos meus pais, Ivanete e Luiz, ao meu irmão Cesar, aos meus sobrinhos Matheus e Arthur, à minha cunhada Adriana e a todas as pessoas a quem ele for útil de alguma maneira. Palavras-chave: Análise de custo-benefício; Água virtual; Valor da água; Parceiros importadores; Cobrança pelo uso dos recursos hídricos ABSTRACT Cost-benefit analysis of virtual water exports in the Brazilian agricultural sector Cost-benefit analysis (CBA) is a policy evaluation tool that assists in decisionmaking, used primarily by public managers. CBA was used in order to reach the main objective of this study: to verify if the export of virtual waterwater contained in a product during its production processembedded in 10 products of the Brazilian agricultural sector, from 2002 to 2016, is being beneficial to Brazil. The products studied were grouped into 5 groups: Sugar, Coffee, Corn, Soybean and Bovine, which, since the year of 2012, represented more than 20% of total Brazilian exports, in monetary terms, US$. For any cost-benefit analysis it is necessary that all impacts (costs and benefits) are monetized to determine the net benefit (), which is achieved by decreasing the costs () of the benefits (), (= −). The study admitted as cost the costs of production, of the products studied; the port storage tariff; and, the value of virtual water exported by Brazil. As a benefit is being considered the value received with the export of these products, converted into national currency. Thus, to reach the main objective of the study, it was necessary to value the virtual water, one of the main objectives of the study. In addition, the study also analyses the main importing partners of Brazil, in relation to the products studied; the importance of Brazil as a leading agricultural exporting country for these importing partners; the difference in the volume of water used for production, both in Brazil and in the importing partners; and, the volume and total value of the virtual water exported in the analyzed period. The central hypothesis that guided this work is that Brazil obtained more benefits than costs when exporting virtual water embedded in the chosen basket of agricultural products. This hypothesis could even be confirmed, since the CBA identified positive total net benefits from 2002 to 2016, i.e., benefits (value of exports) exceeded costs (production cost, tariff port value and virtual water value). Regarding the net benefits per product group studied, they presented negative results in some years of the analyzed period, for example, for the Corn group, in the years 2005, 2006 and 2009 the net benefits were negative. As for the total net benefits, they were R$ 216,342,482,411.98 in the period from 2002 to 2016. In relation to the total volume of virtual exported water, incorporated in the products addressed by the study, during the analyzed period, it was 2,514,850,651 million m³ of water. In terms of monetary value, the total amount for this volume of water was R$ 27,166,366,824.47.

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Impactes do Preço da Água na Agricultura no Perímetro Irrigado do Vale de Caxito,

Cited by 4 publications

References 3 publications

Management of trickle irrigation for banana: Hydrodynamic processes and sensor placement at the root zone

Management of trickle irrigation for banana: Hydrodynamic processes and sensor placement at the root zone

Effect of Sample Re-Saturation on Soil-Water Characteristic Curve

Análise do custo-benefício da exportação de água virtual no setor agropecuário brasileiro

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