Comparative study of effective rainfall estimation methods for lowland rice

Mohan, S.; Simhadrirao, B.; Arumugam, Nivaarani

doi:10.1007/bf00698810

Cited by 22 publications

(13 citation statements)

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“…Irrigation water use requirements for the crops and the aggregated demand at the project level are estimated using the field water balance approach (Mohan et al, 1996) for rice and the CROPWAT model (CropWat 4 Windows 4.3, Food and Agriculture Organization (FAO, 1998)) for the other upland crops. The assumed overall efficiency at the project level gives the water diversion requirement at the barrage.…”

Section: Conceptsmentioning

confidence: 99%

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Discharge‐based economic valuation of irrigation water: Evidence from the Teesta River, Bangladesh

Mullick

Babel

Perret

2010

Irrigation and Drainage

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Studies estimating the value of irrigation water as a function of river discharge are rarely found in the literature; however, discharge-based valuation carries significance when the in-and off-stream uses are evaluated for optimal water allocation. This paper develops the total and marginal benefit functions of the key off-stream water use, irrigation, as a function of flow in the Teesta River of Bangladesh. The field water balance approach and CROPWAT modelling are used to calculate irrigation water requirements for rice and other crops respectively. The residual imputation method is employed to estimate the value of irrigation water. In the cases of insufficient flow in the river, several scenarios based on (i) conjunctive uses of groundwater, (ii) reduction in irrigated land area and (iii) yield loss due to water stress, form the basis for establishing the total and marginal benefit functions for river water use in irrigation in the study area. Estimated marginal benefits as a function of river discharge are found to be linear with zero slopes for the first two scenarios and sloping downward for the third. Results of the study will assist water planners and managers with equitable and efficient allocation and sustainable management of the river water. La méthode d'imputation résiduelle est employée pour estimer la valeur économique de l'eau d'irrigation. Pour les cas de faible débit dans la rivière, divers scénarios sont testés, basés sur (i) l'usage conjoint de ressources souterraines, (ii) la réduction des surfaces irriguées, et (iii) des pertes de rendements liés au stress hydrique ; ils permettent de développer les fonctions de bénéfices totaux et marginaux pour les usages en irrigation dans la zone d'étude. Les bénéfices marginaux estimés selon le débit de la rivière forment des fonctions linéaires, de pente nulle dans les deux premiers scénarios, et de pente négative dans le troisième. Les résultats obtenus peuvent assister les gestionnaires de bassin dans les décisions d'allocation équitable et efficiente de la ressource entre usages.

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Section: Conceptsmentioning

confidence: 99%

“…Estimation of the irrigation water requirements for the rice followed a field water balance approach as presented in Equation (1) (Mohan et al, 1996):…”

Section: Estimation Of Irrigation Water Use Requirementmentioning

confidence: 99%

Discharge‐based economic valuation of irrigation water: Evidence from the Teesta River, Bangladesh

Mullick

Babel

Perret

2010

Irrigation and Drainage

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“…The estimation of effective rainfall involves measuring rainfall amount, surface run-off, percolation beyond the root zone and the soil moisture uptake by plants. In fact, the effective rainfall estimation has been the subject of research and much debate for more than last 50 years, beginning with Thornthwaite in 1931 (Dastane 1974;Mohan et al 1996;Obreza, Pitts 2002). There are a number of methods available for estimating effective rainfall (Cahoon et al 1992).…”

Section: Effective Rainfallmentioning

confidence: 99%

Understanding the Performance of Irrigation Systems Around Homes

Maheshwari

2016

Journal of Environmental Engineering and Landscape Management

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Abstract. Trinitrotoluene (TNT), a commonly used explosive for military and industrial applications, can cause serious environmental pollution. 28-day laboratory pot experiment was carried out applying bioaugmentation using laboratory selected bacterial strains as inoculum, biostimulation with molasses and cabbage leaf extract, and phytoremediation using rye and blue fenugreek to study the effect of these treatments on TNT removal and changes in soil microbial community responsible for contaminant degradation. Chemical analyses revealed significant decreases in TNT concentrations, including reduction of some of the TNT to its amino derivates during the 28-day tests. The combination of bioaugmentation-biostimulation approach coupled with rye cultivation had the most profound effect on TNT degradation. Although plants enhanced the total microbial community abundance, blue fenugreek cultivation did not significantly affect the TNT degradation rate. The results from molecular analyses suggested the survival and elevation of the introduced bacterial strains throughout the experiment. Keywords: TNT, bioaugmentation, biostimulation, phytoremediation, microbial community.

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“…It was calibrated on 50 years of rainfall records at 22 locations throughout the United States [13] and has been shown to perform well in well-drained soils in the USA [14]. However, Mohan et al, [15] found that it under-predicted effective rainfall in India compared to other methods. No evidence could be found of the original USDA SCS method being used in water footprinting studies.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, a more realistic estimate of ET green can be derived from a water balance simulation using local daily rainfall and ETo data over a long time period. This was the approach used to calibrate the USDA SCS method in the 1960s [13] and to test its performance [15]. Although the CROPWAT model has the facility to use daily rainfall and ETo data, it can only run simulations for discrete, individual years.…”

Section: Introductionmentioning

confidence: 99%

Estimating Green Water Footprints in a Temperate Environment

Hess

2010

Water

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Abstract:The "green" water footprint (GWF) of a product is often considered less important than the "blue" water footprint (BWF) as "green" water generally has a low, or even negligible, opportunity cost. However, when considering food, fibre and tree products, is not only a useful indicator of the total appropriation of a natural resource, but from a methodological perspective, blue water footprints are frequently estimated as the residual after green water is subtracted from total crop water use. In most published studies, green water use (ET green ) has been estimated from the FAO CROPWAT model using the USDA method for effective rainfall. In this study, four methods for the estimation of the ET green of pasture were compared. Two were based on effective rainfall estimated from monthly rainfall and potential evapotranspiration, and two were based on a simulated water balance using long-term daily, or average monthly, weather data from 11 stations in England. The results show that the effective rainfall methods significantly underestimate the annual ET green in all cases, as they do not adequately account for the depletion of stored soil water during the summer. A simplified model, based on annual rainfall and reference evapotranspiration (ETo) has been tested and used to map the average annual ET green of pasture in England.

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Comparative study of effective rainfall estimation methods for lowland rice

Cited by 22 publications

References 3 publications

Discharge‐based economic valuation of irrigation water: Evidence from the Teesta River, Bangladesh

Discharge‐based economic valuation of irrigation water: Evidence from the Teesta River, Bangladesh

Understanding the Performance of Irrigation Systems Around Homes

Estimating Green Water Footprints in a Temperate Environment

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