Study on the estimation of precipitation resources for rainwater harvesting agriculture in semi-arid land of China

Wei, Hong; Li, Jianlong; Liang, Tiangang

doi:10.1016/j.agwat.2004.07.002

Cited by 45 publications

(28 citation statements)

References 3 publications

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“…It can either be a first order polynomial or it can be a quadratic surface defined by a second order polynomial. (Wei et al 2005) provides a better relative measure of the differences particularly when the spatial variation in rainfall is large (Price et al 2000). This study considers the criteria mentioned above for selection of the best suitable method.…”

Section: Universal Krigingmentioning

confidence: 99%

Spatial Distribution of Rainfall in Indian Himalayas – A Case Study of Uttarakhand Region

Basistha

Arya

Goel

2007

Water Resour Manage

139

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Continuous rainfall data in grid format are required to run models for hydrological and agricultural research as well as water resources planning and management. The present work attempts to prepare a normal annual rainfall map in Himalayan region of India lying in Uttarakhand state at 1 km spatial resolution which currently is not available. In the region, India Meteorological Department maintains observatories/raingauge stations and data from 44 stations were used in this study. A comparative analysis of interpolation techniques like Inverse Distance Weighted, Polynomial, Splines, Ordinary Kriging and Universal Kriging shows that Universal Kriging with hole-effect model and natural logarithmic transformation with constant trend having Root Mean Square Error (RMSE) of 328.7 is the best choice. This is followed by Ordinary Kriging (RMSE 329.1), Splines (RMSE 392.4), Inverse Distance Weighted (RMSE 409.8) and Polynomial Interpolation (RMSE 418.5).Cross validation of the results shows the largest over prediction at Tehri rainfall station (62.5%) and largest under prediction at Nainital station (−36.5%). Physiographic zone wise, the least errors occur in the plains and the largest in the Great Himalayas. The spatial average rainfalls are 1,472 mm for Terai/Bhabar, 1,782 mm for the Shivalik ranges, 1,591 mm for the Lesser Himalayas and 1,635 mm for the Great Himalayan region. The mean areal rainfall in the region is 1,608 mm.

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Section: Universal Krigingmentioning

confidence: 99%

Spatial Distribution of Rainfall in Indian Himalayas – A Case Study of Uttarakhand Region

Basistha

Arya

Goel

2007

Water Resour Manage

139

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“…Then we used a spatial interpolation method to estimate the hourly rainfall distribution on a grid similar to that for radar rainfall. The interpolation methods we chose were IDW, splines, and ordinary kriging, three common methods for estimating rainfall from gauged data (e.g., Wei et al, 2005). For ordinary kriging, we used the spherical semi-variogram model, a commonly-used model for precipitation, to fit the observed data (e.g., Lloyd, 2005).…”

Section: Gauged Rainfall Estimatesmentioning

confidence: 99%

Application of radar data to modeling rainfall-induced landslides

Chiang

Chang

2009

Geomorphology

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“…Some researchers are interested in countyside rainwater contaminant study and the impact on agriculture (Chang et al 1997;Wei et al 2005). In contrast, this paper seeks for explored water sources supplying toilet flushing and landscape watering in the rural town of Cranbrook, Western Australia.…”

Section: Introductionmentioning

confidence: 97%

Alternative Water Resources for Rural Residential Development in Western Australia

Zhang

Grant

Sharma

et al. 2009

Water Resour Manage

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Rainwater collected from residential roofs and greywater generated from domestic uses except toilets are viewed as possible substitutes for high grade water sources which supply nonpotable indoor uses and irrigation in Australia. This paper searches for alternatives by adopting roofwater and greywater in residential envelope as per Australian water standards. A water balance model Aquacycle was applied to determine storage capacities and to evaluate the percentage reduction in water supplying, stormwater run-off and wastewater disposal, as well as volume of rainwater use and greywater reuse. This study provides the results of greywater recycling, which contributes to the greater saving of mains water supply than rainwater use, and which reduces more than half of the wastewater to receiving waters in the rural township of Cranbrook, Western Australia. The results of this study provide greywater usage (maximum reduction 32.5%) more significantly reduces scheme water supply than rainwater harvesting (maximum reduction 25.1%). Use of greywater on individual residential lots has the dramatic effect for drainage system by reduction approximately 54.1% or 88.1 m 3 /lot/year. The results of rainwater use analysis show explicitly that rainwater tanks are much more effective in intercepting Y. Zhang et al. roof runoff, with the maximum stormwater reduction 48.1% or 68.3 m 3 /lot/year. This research endeavours to offer a typical paradigm for an integrated water system in the rural residential sectors.

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Study on the estimation of precipitation resources for rainwater harvesting agriculture in semi-arid land of China

Cited by 45 publications

References 3 publications

Spatial Distribution of Rainfall in Indian Himalayas – A Case Study of Uttarakhand Region

Spatial Distribution of Rainfall in Indian Himalayas – A Case Study of Uttarakhand Region

Application of radar data to modeling rainfall-induced landslides

Alternative Water Resources for Rural Residential Development in Western Australia

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