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Featured researches published by Xiyun Jiao.


Journal of Irrigation and Drainage Engineering-asce | 2012

Urban Weather Data to Estimate Reference Evapotranspiration for Rural Irrigation Management

Yufeng Luo; Yunlu Jiang; Shizhang Peng; Shahbaz Khan; Xueliang Cai; Weiguang Wang; Xiyun Jiao

AbstractWeather 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 3...


Archives of Agronomy and Soil Science | 2016

Forecasting daily reference evapotranspiration using the Blaney–Criddle model and temperature forecasts

Yujiang Xiong; Yufeng Luo; Ying Wang; Seydou Traore; Junzeng Xu; Xiyun Jiao; Guy Fipps

ABSTRACT Accurate daily reference evapotranspiration (ETo) forecast is essential for real-time irrigation scheduling. An attempt was made to forecast ETo using the Blaney–Criddle (BC) model and temperature forecasts in this study. Daily meteorological data for the period 2000–2014 at five stations in East China were collected to calibrate and validate the BC model against the FAO56 Penman–Monteith (FAO56-PM) model. Temperature forecasts up to 7 days’ lead time for 2012–2014 were input to the calibrated BC model to forecast ETo. It is found that the performance of the BC model for ETo forecast is further improved at all stations after monthly calibration. Average accuracy of forecasted ETo (error within 1.5 mm d−1) ranged from 82.7% to 89.3%, average values of mean absolute error (MAE) varied between 0.73 and 0.82 mm d−1, average values of root mean square error (RMSE) ranged from 0.95 to 1.08 mm d−1, and average values of the correlation coefficient (R) and concordance index (d) were more than 0.75 and 0.89, respectively. Furthermore, the error in ETo forecast caused by error in temperature forecast is acceptable. The encouraging results indicate that the proposed method can be an alternative and effective solution for forecasting daily ETo in East China.


2016 5th International Conference on Energy and Environmental Protection (ICEEP 2016) | 2016

Irrigation Management Using Different Irrigation Scheduling Techniques in Blocked-end Furrows

Mohamed Khaled Salahou; Xiyun Jiao; Kaihua Liu

Surface irrigation under different irrigation techniques is evaluated in this research, based on water applying method, water infiltration depth, and irrigation water use efficiency. For that purpose, field experiments were conducted using cotton grown in silt loam soil at Wuqiao Eco-Agricultural Experimental Station in 2015 season. To evaluate the infiltration and distribution under conventional continuous inflow in comparison to increased discharge and decreased discharge irrigation in blockedend furrows, nine irrigation treatments were applied. They are known as continuous flow irrigation (CFI), decreased discharge irrigation (DDI) and increased discharge irrigation (IDI). In DDI and IDI irrigation treatments, the inflow should be varied before the completion of the advance phase and cut off time in all treatments when the advance wave reaches the end of the field. The infiltration depth in cm was functioned to opportunity time (  ) in minute for the double ring infiltrometer as: 381 . 0 51 . 0   Z .The average application efficiency of DDI irrigation is higher than that of CFI and IDI irrigation treatments. Decreased discharge in DDI irrigation treatment when the position of the advancing wave front reaches 0.75 of the furrow’s length can potentially save water and irrigation time compared with other irrigation treatments.


Agricultural Water Management | 2014

Responses of rice yield, irrigation water requirement and water use efficiency to climate change in China: Historical simulation and future projections

Weiguang Wang; Zhongbo Yu; Wei Zhang; Quanxi Shao; Yiwei Zhang; Yufeng Luo; Xiyun Jiao; Junzeng Xu


Journal of Hydrology | 2016

The analytical derivation of multiple elasticities of runoff to climate change and catchment characteristics alteration

Weiguang Wang; Shan Zou; Quanxi Shao; Wanqiu Xing; Xi Chen; Xiyun Jiao; Yufeng Luo; Bin Yong; Zhongbo Yu


Journal of Hydrologic Engineering | 2013

Estimating the Effects of Climatic Variability and Human Activities on Streamflow in the Hutuo River Basin, China

Shizhang Peng; Wanxin Liu; Weiguang Wang; Quanxi Shao; Xiyun Jiao; Zhongbo Yu; Wanqiu Xing; Junzeng Xu; Zengxin Zhang; Yufeng Luo


Irrigation and Drainage | 2012

INTEGRATED IRRIGATION AND DRAINAGE PRACTICES TO ENHANCE WATER PRODUCTIVITY AND REDUCE POLLUTION IN A RICE PRODUCTION SYSTEM

Shizhang Peng; Yufeng Luo; Junzeng Xu; Shahbaz Khan; Xiyun Jiao; Weiguang Wang


Agricultural and Forest Meteorology | 2017

Bayesian multi-model projection of irrigation requirement and water use efficiency in three typical rice plantation region of China based on CMIP5

Weiguang Wang; Yimin Ding; Quanxi Shao; Junzeng Xu; Xiyun Jiao; Yufeng Luo; Zhongbo Yu


Water Resources Management | 2015

Medium Range Daily Reference Evapotranspiration Forecasting by Using ANN and Public Weather Forecasts

Yufeng Luo; Seydou Traore; Xinwei Lyu; Weiguang Wang; Ying Wang; Yongyu Xie; Xiyun Jiao; Guy Fipps


Procedia Engineering | 2012

Agricultural Water Transfers in China: Current Issues and Perspectives

Yunlu Jiang; Yufeng Luo; Shizhang Peng; Weiguang Wang; Xiyun Jiao

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Quanxi Shao

Commonwealth Scientific and Industrial Research Organisation

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