Diagnosing irrigation performance and water productivity through satellite remote sensing and secondary data in a large irrigation system of Pakistan

Ahmad, Mobin-ud-Din; Turral, Hugh; Nazeer, Aamir

doi:10.1016/j.agwat.2008.09.017

Cited by 92 publications

(71 citation statements)

References 22 publications

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“…Comumente, este indicador é conhecido como uso eficiente de água; no entanto, a PA C considera a fração econômica do rendimento (Detar, 2008;Di Paolo & Rinaldi, 2008). O segundo grupo de indicadores tem sido utilizado em diferentes áreas agrícolas e considera o suprimento relativo de água (SRA), a evapotranspiração relativa (ER), a fração de redução de água (FRA) e o déficit hídrico da cultura (DHC) (Ahmad et al, 2009;Bastiaanssen et al, 2001;Bos et al, 2005;Karatas et al, 2009 Calculou-se a evapotranspiração de referência (ETo) com base no método de Penman Monteith padronizado pela FAO, utilizando-se os dados de uma estação meteorológica automática (modelo Davis Vantage Pro2, Hayward, CA, USA) localizada a 3 km da área experimental. Concomitantemente, a evapotranspiração real da cultura (ETc) foi obtida por meio dos dados de fluxo de calor latente (LE) estimados através do método do balanço de energia com base na razão de Bowen (BERB) (Inman-Bamber & Mcglinchey, 2003;Teixeira et al, 2008).…”

Section: Introductionunclassified

Demanda hídrica e eficiência do uso de água da cana-de-açúcar irrigada no semiárido brasileiro

Silva

Moura

Zolnier³

et al. 2011

Rev. bras. eng. agríc. ambient.

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Este trabalho objetivou realizar uma análise da eficiência do uso de água em um sistema de produção de cana-de-açúcar irrigada no Submédio do Vale do São Francisco, Brasil. Indicadores que consideram a resposta produtiva da cultura e o desempenho de aplicação de água no sistema de produção foram utilizados e calculados por meio de dados de biomassa seca acumulada, rendimento industrial e a partir dos valores de evapotranspiração de referência (ETo), evapotranspiração da cultura (ETc) e do volume de água que entrou no sistema de produção por precipitação e irrigação (P + I). Verificou-se que a maior eficiência do uso de água pela cultura ocorreu entre o sétimo e o oitavo meses produtivos em virtude do aumento da partição de biomassa para os colmos e do suprimento de radiação e, ainda, da redução da ETc em resposta ao tombamento das plantas. Os indicadores utilizados demonstraram que a demanda de água da cultura foi suprida adequadamente em relação à evapotranspiração máxima. A cana-de-açúcar apresentou uma eficiência de produção de 9,49 kg de colmos, 1,22 kg de açúcar e 875,23 mL de álcool por m3 de ETc e 5,36 kg de colmos, 0,69 kg de açúcar e 494,14 ml de álcool por m3 de P+I.

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Section: Introductionunclassified

Demanda hídrica e eficiência do uso de água da cana-de-açúcar irrigada no semiárido brasileiro

Silva

Moura

Zolnier³

et al. 2011

Rev. bras. eng. agríc. ambient.

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“…The agricultural sector is one of the biggest consumers of water resources, accounting for more than 70% of the world's fresh water use from rivers and groundwater [1]. This figure is even greater in Asia and the Pacific region, where it accounts for as much as 90% [1].…”

Section: Introductionmentioning

confidence: 99%

Regional Water Balance Based on Remotely Sensed Evapotranspiration and Irrigation: An Assessment of the Haihe Plain, China

Yang

Liu

et al. 2014

Remote Sensing

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Optimal planning and management of the limited water resources for maximum productivity in agriculture requires quantifying the irrigation applied at a regional scale. However, most efforts involving remote sensing applications in assessing large-scale irrigation applied (IA) have focused on supplying spatial variables for crop models or studying evapotranspiration (ET) inversions, rather than directly building a remote sensing data-based model to estimate IA. In this study, based on remote sensing data, an IA estimation model together with an ET calculation model (ETWatch) is set up to simulate the spatial distribution of IA in the Haihe Plain of northern China. We have verified this as an effective approach for the simulation of regional IA, being more reflective of regional characteristics and of higher resolution compared to single site-specific results. The results show that annual ET varies from 527 mm to 679 mm and IA varies from 166 mm to We confirm that the region along the Taihang Mountain in Hebei Plain has serious water resource sustainability problems, even while receiving water from the South-North Water Transfer (SNWT) project. This is due to the region's intensive agricultural production and declining groundwater tables. Water-saving technologies, including more timely and accurate geo-specific IA assessments, may help reduce this threat.

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“…The existing research on influence factors of water management performance concentrates on exploring the relationship between some specific management tools and its performance. In particular, these tools can often include management policy [17][18][19], management organizations [20][21][22][23][24], irrigation schemes [25,26], technological investments and governance structures [27], while others mainly introduce and develop valid research methods [28,29]. Obviously, the results of these researches provide an important support to this research topic especially when the index systems of performance and its influence factors of the SWRM in irrigation area are developed.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Analysis on the Influence Factors of the Sustainable Water Resource Management Performance in Irrigation Areas: An Empirical Research from China

Pan¹,

Xu²

2018

Sustainability

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Performance evaluation and influence factors analysis are vital to the sustainable water resources management (SWRM) in irrigation areas. Based on the objectives and the implementation framework of modern integrated water resources management (IWRM), this research systematically developed an index system of the performances and their influence factors ones of the SWRM in irrigation areas. Using the method of multivariate regression combined with correlation analysis, this study estimated quantitatively the effect of multiple factors on the water resources management performances of irrigation areas in the Ganzhou District of Zhangye, Gansu, China. The results are presented below. The overall performance is mainly affected by management enabling environment and management institution with the regression coefficients of 0.0117 and 0.0235, respectively. The performance of ecological sustainability is mainly influenced by local economic development level and enable environment with the regression coefficients of 0.08642 and −0.0118, respectively. The performance of water use equity is mainly influenced by information publicity, administrators' education level and ordinary water users' participation level with the correlation coefficients of 0.637, 0.553 and 0.433, respectively. The performance of water use economic efficiency is mainly influenced by the management institutions and instruments with the regression coefficients of −0.07844 and 0.01808, respectively. In order to improve the overall performance of SWRM in irrigation areas, it is necessary to strengthen the public participation, improve the manager' ability and provide sufficient financial support on management organization.

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Diagnosing irrigation performance and water productivity through satellite remote sensing and secondary data in a large irrigation system of Pakistan

Cited by 92 publications

References 22 publications

Demanda hídrica e eficiência do uso de água da cana-de-açúcar irrigada no semiárido brasileiro

Demanda hídrica e eficiência do uso de água da cana-de-açúcar irrigada no semiárido brasileiro

Regional Water Balance Based on Remotely Sensed Evapotranspiration and Irrigation: An Assessment of the Haihe Plain, China

Quantitative Analysis on the Influence Factors of the Sustainable Water Resource Management Performance in Irrigation Areas: An Empirical Research from China

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