Your search found 9 records
1 Castañeda, A. R.; Bouman, B. A. M.; Peng, S.; Visperas, R. M. 2002. The potential of aerobic rice to reduce water use in water-scarce irrigated lowlands in the tropics. In Bouman, B. A. M.; Hengsdijk, H.; Hardy, B.; Bindraban, P. S.; Tuong, T. P.; Ladha, J. K. (Eds.), Water-wise rice production. Los Baños, Philippines: International Rice Research Institute (IRRI). pp.165-176.
Rice ; Water scarcity ; Irrigation practices ; Flood irrigation ; Experiments ; Percolation ; Evapotranspiration ; Soil water ; Water balance ; Soil moisture ; Water table / Philippines
(Location: IWMI-HQ Call no: 631.7.2 G000 BOU Record No: H032426)
http://books.irri.org/9712201821_content.pdf
(3 MB)

2 Peng, S.; Buresh, R.; Huang, J.; Yang, J.; Wang, G.; Zhong, X.; Zou, Y. 2003. Principles and practices of real-time nitrogen management: A case study on irrigated rice in China. In Mew, T. W.; Brar, D. S.; Peng, S.; Dawe, D.; Hardy, B. (Eds.), Rice science: Innovations and impact for livelihood. Manila, Philippines: IRRI. pp.433-446.
Rice ; Nitrogen ; Fertilizers ; Irrigated farming / China
(Location: IWMI-HQ Call no: 633.18 G000 MEW Record No: H035025)

3 Mew, T. W.; Brar, D. S.; Peng, S.; Dawe, D.; Hardy, B. (Eds.) 2003. Rice science: Innovations and impact for livelihood. Manila, Philippines: IRRI. xiii, 1,022p.
Rice ; Irrigated farming ; Agricultural production ; Technology transfer ; Sustainability ; Biodiversity ; Crops ; Water shortage ; Ecology ; Diversification ; Climate change / Asia / South East Asia / China / Korea Republic / Japan / India / Philippines / Indonesia / Australia
(Location: IWMI-HQ Call no: 633.18 G000 MEW Record No: H035023)
Proceedings of the International Rice Research Conference, 16-19 September 2002, Beijing, China

4 Castañeda, A. R.; Bouman, B. A. M.; Peng, S.; Visperas, R. M. 2005. Aerobic rice in the tropics and its impact on water productivity. In Thiyagarajan, T. M.; Hengsdijk, H.; Bindraban, P. S. (Eds.), Transitions in agriculture for enhancing water productivity. Proceedings of an international symposium held in Killikulam, Tamil Nadu, India, 23-25 September 2003. Tamil Nadu, India; Wageningen, Netherlands: Tamil Nadu Agricultural University. Agricultural College & Research Institute; Wageningen University and Research Centre. Plant Research International. pp.71-88.
Rice ; Crop-based irrigation ; Experiments ; Water delivery ; Water loss ; Soil moisture / Philippines
(Location: IWMI-HQ Call no: 631.7.2 G570 THI Record No: H037028)

5 Bouman, B. A. M.; Peng, S.; Castañeda, A. R.; Visperas, R. M. 2005. Yield and water use of irrigated tropical aerobic rice systems. Agricultural Water Management, 74(2):87-105.
Rice ; Yields ; Water use ; Water scarcity ; Soil moisture ; Measurement ; Evapotranspiration / Asia
(Location: IWMI-HQ Call no: PER Record No: H037014)
https://vlibrary.iwmi.org/pdf/H_37014.pdf

6 Bouman, B.; Barker, R.; Humphreys, E.; Tuong, T. P.; Atlin, G.; Bennett, J.; Dawe, D.; Dittert, K.; Dobermann, A.; Facon, T.; Fujimoto, N.; Gupta, R.; Haefele, S.; Hosen, Y.; Ismail, A.; Johnson, D.; Johnson, S.; Khan, S.; Shan, L.; Masih, Ilyas; Matsuno, Y.; Pandey, S.; Peng, S.; Muthukumarisami, T.; Wassman, R. 2007. Rice: feeding the billions. In Molden, David (Ed.). Water for food, water for life: a Comprehensive Assessment of Water Management in Agriculture. London, UK: Earthscan; Colombo, Sri Lanka: International Water Management Institute (IWMI). pp.515-549.
Rice ; Paddy fields ; Economic aspects ; Irrigated farming ; Rainfed farming ; Environmental effects ; Climate change ; Greenhouse gases ; Methane ; Groundwater ; Arsenic ; Public health ; Drought ; Waterlogging ; Water conservation
(Location: IWMI HQ Call no: IWMI 630.7 G000 IWM Record No: H040206)
http://www.iwmi.cgiar.org/assessment/Water%20for%20Food%20Water%20for%20Life/Chapters/Chapter%2014%20Rice.pdf
(1.72 MB)

7 Peng, S.. 2010. The water-saving irrigation strategy and effect in China. In University of Nebraska, Lincoln Office of Research and Economic Development. Proceedings of the 2010 Water for Food Conference, Lincoln, Nebraska, 2-5 May 2010. Lincoln, NE, USA: University of Nebraska. pp.69-71.
Water conservation ; Irrigation ; Strategies ; Food security / China
(Location: IWMI HQ Call no: 631.7 G000 UNI Record No: H043818)
http://waterforfood.nebraska.edu/docs/wff2010_fullversion.pdf
https://vlibrary.iwmi.org/pdf/H043818.pdf
(0.12 MB) (14.87MB)

8 Luo, Y.; Jiang, Y.; Peng, S.; Khan, S.; Cai, Xueliang; Wang, W.; Jiao, X. 2012. Urban weather data to estimate reference evapotranspiration for rural irrigation management. Journal of Irrigation and Drainage Engineering, 138(9):837-842. [doi: https://doi.org/10.1061/(ASCE)IR.1943-4774.0000470]
Irrigation management ; Irrigation requirements ; Weather data ; Temperature ; Humidity ; Wind speed ; Evapotranspiration ; Rural areas / China / Kaifeng Station / Huibei Station
(Location: IWMI HQ Call no: PER Record No: H045719)
https://vlibrary.iwmi.org/pdf/H045719.pdf
(0.94 MB)
Weather data measured in urban areas are generally more easily available than those in rural areas. If the urban weather data are used to calculate the reference crop evapotranspiration (ET0) for rural irrigation management or spatial and temporal trend analysis, the results may be biased because of the differences in weather variables. We collected daily data for mean, maximum, and minimum temperatures; relative humidity; average wind speed; and sunshine duration from two stations: Kaifeng Station in the City of Kaifeng and Huibei Station in the nearby irrigation scheme for 1984–2009. ET0 for both stations were calculated using the FAO-56 Penman-Monteith method and then compared. The results indicated that the difference in daily ET0 was remarkable [with relative error (RE) of 52.6%], the difference between monthly average ET0 increased gradually during the last three decades and the temporal trends in annual average daily ET0 were opposite. There were significant differences in ETC (with RE of 31.1%) and irrigation requirements (with RE of 24.3%) between the two stations. Even though the distance between the two stations is only 20 km, the urban weather cannot be used to estimate ET0 for rural irrigation management.

9 Luo, Y.; Chang, X.; Peng, S.; Khan, S.; Wang, W.; Zheng, Q.; Cai, Xueliang. 2014. Short-term forecasting of daily reference evapotranspiration using the Hargreaves–Samani model and temperature forecasts. Agricultural Water Management, 136:42-51. [doi: https://doi.org/10.1016/j.agwat.2014.01.006]
Weather forecasting ; Models ; Weather data ; Meteorological stations ; Evapotranspiration ; Temperature / China
(Location: IWMI HQ Call no: e-copy only Record No: H046345)
https://vlibrary.iwmi.org/pdf/H046345.pdf
(3.51 MB)
Accurate daily reference evapotranspiration (ET0) forecasting is necessary for real-time irrigation forecasting. We proposed a method for short-term forecasting of ET0 using the locally calibrated Hargreaves–Samani model and temperature forecasts. Daily meteorological data from four stations in China for the period 2001–2013 were collected to calibrate and validate the Hargreaves–Samani (HS) model against the Penman–Monteith (PM) model, and the temperature forecasts for a 7-day horizonin 2012–2013 were collected and entered into the calibrated HS model to forecast the ET0. The pro-posed method was tested through comparisons between ET0 forecasts and ET0calculated from observed meteorological data and the PM model. The correlation coefficients between observed and forecasted temperatures for all stations were all greater than 0.94, and the accuracy of the minimum temperature forecast (error within ±2 C) ranged from 60.48% to 76.29% and the accuracy of the maximum tempera-ture forecast ranged from 50.18% to 62.94%. The accuracy of the ET0 forecast (error within ±1.5 mm day-1) ranged from 77.43% to 90.81%, the average values of the mean absolute error ranged from 0.64 to1.02 mm day-1, the average values of the root mean square error ranged from 0.87 to 1.36 mm day-1,and the average values of the correlation coefficient ranged from 0.64 to 0.86. The sources of errors were the error in the temperature forecasts and the fact that the effects of wind speed and relative humidity were not considered in the HS model. The applications illustrated that the proposed method could provide daily ET0forecasts with a certain degree of accuracy for real-time irrigation forecasts.

Powered by DB/Text WebPublisher, from Inmagic WebPublisher PRO