Assessing irrigated agriculture's surface water and groundwater consumption by combining satellite remote sensing and hydrologic modelling

Peña‐Arancibia, Jorge L.; Mainuddin, Mohammed; Kirby, J. M.; Chiew, Francis H. S.; McVicar, Tim R.; Vaze, Jai

doi:10.1016/j.scitotenv.2015.10.086

Cited by 61 publications

(33 citation statements)

References 61 publications

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“…The latest generation of GHMs is capable of spatially explicit assessments of the consumed fraction of applied irrigation water, thus no longer requiring an estimate of efficiencies as input [99,100]. However, these models still quantify water withdrawals for irrigation by supplying water until optimal growing conditions are achieved, an approach that is likely to lead to an overestimation of withdrawals [101]. Alternatively, non-physically based statistical methods are used to quantify water withdrawals for different water using sectors [102,103].…”

Section: Discussionmentioning

confidence: 99%

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Integrating Global Satellite-Derived Data Products as a Pre-Analysis for Hydrological Modelling Studies: A Case Study for the Red River Basin

et al. 2016

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With changes in weather patterns and intensifying anthropogenic water use, there is an increasing need for spatio-temporal information on water fluxes and stocks in river basins. The assortment of satellite-derived open-access information sources on rainfall (P) and land use/land cover (LULC) is currently being expanded with the application of actual evapotranspiration (ET act ) algorithms on the global scale. We demonstrate how global remotely sensed P and ET act datasets can be merged to examine hydrological processes such as storage changes and streamflow prior to applying a numerical simulation model. The study area is the Red River Basin in China in Vietnam, a generally challenging basin for remotely sensed information due to frequent cloud cover. Over this region, several satellite-based P and ET act products are compared, and performance is evaluated using rain gauge records and longer-term averaged streamflow. A method is presented for fusing multiple satellite-derived ET act estimates to generate an ensemble product that may be less susceptible, on a global basis, to errors in individual modeling approaches. Subsequently, monthly satellite-derived rainfall and ET act are combined to assess the water balance for individual subcatchments and types of land use, defined using a global land use classification improved based on auxiliary satellite data. It was found that a combination of TRMM rainfall and the ensemble ET act product is consistent with streamflow records in both space and time. It is concluded that monthly storage changes, multi-annual streamflow and water yield per LULC type in the Red River Basin can be successfully assessed based on currently available global satellite-derived products.

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Section: Discussionmentioning

confidence: 99%

“…With ET act maps now readily available on the global scale, it is a logical next step to start incorporating these products in GHMs, either as model constraints or in the calibration procedure. This could lead to a more realistic representation of withdrawals [101,104,105], and therefore of non-consumed water and reuse.…”

Section: Discussionmentioning

confidence: 99%

Integrating Global Satellite-Derived Data Products as a Pre-Analysis for Hydrological Modelling Studies: A Case Study for the Red River Basin

et al. 2016

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“…These characteristics confer great potential for both monitoring water stress and scheduling irrigation [105]. Remote sensing can provide precise information of irrigated crop areas [106] by monitoring the phenological development of crops through multi-temporal image [107].…”

Section: Approaches To Precision Irrigationmentioning

confidence: 99%

“…Peña-Arancibia et al [107] quantified irrigation water use and water provenance (surface water or groundwater), combining t remote sensing data on irrigation dynamics and actual ET linked with a river-reach hydrological model. They concluded that the results were as accurate as those of more traditional irrigation area modelling using remotely sensed irrigated areas.…”

Section: Et Estimationmentioning

confidence: 99%

Remote Sensing for Irrigation of Horticultural Crops

Alvino

Marino

2017

Horticulturae

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This paper reviews the literature on applications of remote sensing for monitoring soil-and crop-water status for irrigation purposes. The review is organized into two main sections: (1) sensors and platforms applied to irrigation studies and (2) remote sensing approaches for precision irrigation to estimate crop water status, evapotranspiration, infrared thermography, soil and crop characteristics methods. Recent literature reports several remote sensing (RS) approaches to monitor crop water status in the cultivated environment. Establishing the right amount of water to supply for different irrigation strategies (maximization of yield or water use efficiency (WUE)) for a large number of crops is a problem that remains unresolved. For each crop, it will be necessary to create a stronger connection between crop-water status and crop yield.

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“…Recent studies show that hydrological information from remote sensing datasets can be effectively used for estimation of surface water availability (Peña-Arancibia et al, 2016), water accounting (Karimi et al, 2013) and to help improve detection 5 of droughts at basin scale (Linés et al, 2017). Combined with local data these datasets can potentially provide improved information to support decisions in irrigated agriculture.…”

Section: Introductionmentioning

confidence: 99%

Can global precipitation datasets benefit the estimation of the area to be cropped in irrigated agriculture?

Kaune¹,

Werner²,

López³

et al. 2018

Preprint

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Abstract. The area to be cropped in irrigation districts needs to be planned according to the available water resources to avoid agricultural production loss. However, the period of record of local hydro-meteorological data may be short, leading to an incomplete understanding of climate variability and consequent uncertainty in estimating surface water availability for irrigation area planning. In this study we assess the benefit of using global precipitation datasets to improve surface water availability estimates. A reference area that can be irrigated is established using a complete record of thirty years of observed 15 river discharge data. Areas are then determined using simulated river discharges from six local hydrological models forced with in-situ and global precipitation datasets (CHIRPS and MSWEP), each calibrated independently with a sample of five years extracted from the full thirty year record. The utility of establishing the irrigated area based on simulated river discharge simulations is compared against the reference area through a pooled Relative Utility Value. Results show that for all river discharge simulations the benefit of choosing the irrigated area based on the thirty years simulated data is higher compared to 20 using only five years observed discharge data, as the statistical spread of using thirty years is smaller. Hence, it is more beneficial to calibrate a hydrological model using five years of observed river discharge and then extending it with global precipitation data of thirty years as this weighs up against the model uncertainty of the model calibration.

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Assessing irrigated agriculture's surface water and groundwater consumption by combining satellite remote sensing and hydrologic modelling

Cited by 61 publications

References 61 publications

Integrating Global Satellite-Derived Data Products as a Pre-Analysis for Hydrological Modelling Studies: A Case Study for the Red River Basin

Integrating Global Satellite-Derived Data Products as a Pre-Analysis for Hydrological Modelling Studies: A Case Study for the Red River Basin

Remote Sensing for Irrigation of Horticultural Crops

Can global precipitation datasets benefit the estimation of the area to be cropped in irrigated agriculture?

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