National Center for Efficient Irrigation Engineering and Technology Research Beijing

Beijing, China

National Center for Efficient Irrigation Engineering and Technology Research Beijing

Beijing, China
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Bai L.,China Institute of Water Resources and Hydropower Research | Cai J.,China Institute of Water Resources and Hydropower Research | Cai J.,National Center for Efficient Irrigation Engineering and Technology Research Beijing | Liu Y.,China Institute of Water Resources and Hydropower Research | And 7 more authors.
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery | Year: 2017

In order to construct the high spatial-temporal dataset of evapotranspiration (ET), the Landsat and MODIS data were used to achieve spatial downscaling of ET by using the enhanced spatial and temporal adaptive reflectance fusion model (ESTARFM). The result of data fusion was evaluated by field ET output from root zone water balance model. According to crop planting structure information from 2000 to 2015 in the study area, the water consumption of different crops was exacted during their growth and non-growth periods. Based on the fusion ET, the interannual variation of total agricultural water consumption was analyzed since the implement of water-saving project in large irrigation district. The result showed that the process of fusion ET was more consistent with ET output from water balance. In the correlation analysis of water balance and fusion ET, the determination coefficients (R2) of maize, wheat and sunflower reached 0.85, 0.79 and 0.82, respectively. During the growth period, the root mean square errors (RMSE) of maize (May to October), wheat (April to October) and sunflower (June to October) were lower than 0.70 mm/d, the mean absolute error (MAD) was all lower than 0.75 mm/d, and the relative error (RE) was all less than 16%. On the spatial scale, the spatial characteristics of fusion results were consistent with the Landsat ET. The correlation coefficients of July 23, August 24 and September 1 reached 0.85, 0.81 and 0.77, the mean values of the differences were 0.24 mm, 0.19 mm and 0.22 mm, and the standard deviations were 0.81 mm, 0.72 mm and 0.61 mm, respectively. The high resolution ET based on ESTARFM fusion algorithm was reliable and had good fusion precision. The water consumption of different crops varied greatly both in the growth period and non-growth period. During the growth period, the maximum water consumption was 637 mm for interplanting (April to October), followed by maize and sunflower, which were 598 mm (May to October) and 502 mm (June to October), respectively, the minimum water consumption of wheat was 412 mm (April to July). During the non-growth period, wheat (August to October) had the highest water consumption with an annual average of 214 mm, and those of maize (April) and sunflower (April to May) were 42 mm and 128 mm, respectively. Due to the difference of average annual water consumption of different crops was not significant during April to October, the variation of total water consumption for different crops was varied with the changes of crop acreage. © 2017, Chinese Society of Agricultural Machinery. All right reserved.


Bai L.,China Institute of Water Resources and Hydropower Research | Bai L.,National Center for Efficient Irrigation Engineering and Technology Research Beijing | Cai J.,China Institute of Water Resources and Hydropower Research | Cai J.,National Center for Efficient Irrigation Engineering and Technology Research Beijing | And 8 more authors.
Agricultural Water Management | Year: 2017

To solve the problems of decreasing water resources from the Yellow River, the renovation project of water-saving and controlling water distribution was implemented in the Hetao Irrigation District of North China since 1999. The local hydrological cycle is expected to be influenced or changed during the past fifteen years through the project. Jiefangzha Irrigation Region, the second large partition of the Hetao Irrigation District, was selected as the typical area to explore the relationship between agricultural water consumption, water distribution, cropping pattern and changing groundwater level. In this paper, the SEBS (Surface Energy Balance System) model and the ESTARFM (Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model) algorithm were applied to produce daily field-scale evapotranspiration (ET) based on Landsat and MODIS data from 2000 to 2015 at intervals. The results indicate that the cropping pattern had changed greatly, while the water table descended through the years. The total agriculture ET stayed relatively stable, with the average annual consumption of 8.9 × 108 m3. The temporal variation of agriculture ET was not obviously sensitive to the adjustment of cropping pattern. There was no significant difference in April–October ET for different crops, in spite of the clear distinction of ET in each crop-specific growing season. The spatial distribution of agricultural ET did not change in spite of the great adjustment of cropping pattern during fifteen years, which has a close inverse correlation with the groundwater depth. Groundwater depth descended from 1.76 m to 2.33 m during the operation period of the water-saving project, which might reduce the soil evaporation and have a positive effect on soil salinization effectively. Meanwhile, the net irrigation water use efficiency was improved from 0.59 to 0.66. These effects indicate the positive impact of the implemented water-saving renovation project on water management and environment. However, the actual crop coefficient Kc,a decreased slightly with the gradually increasing reference evapotranspiration, indicating possible drought stress as an effect of the continuing reduction of the availability of net irrigation water and declining groundwater table. © 2017 Elsevier B.V.


Cai J.,China Institute of Water Resources and Hydropower Research | Cai J.,National Center for Efficient Irrigation Engineering and Technology Research Beijing | Bai L.,China Institute of Water Resources and Hydropower Research | Bai L.,National Center for Efficient Irrigation Engineering and Technology Research Beijing | And 6 more authors.
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | Year: 2017

It is an important development trend in modern agriculture to utilize the remote sensing data and real-time field monitoring data for irrigation management, and to realize the agriculture informatization by using precision information technology. In this paper, in order to validate land surface temperature by remote sensing inversion, we designed and installed 4 sets of monitoring systems to collect field data on line, including crop canopy temperature, air temperature, air humidity, wind speed, solar radiation, soil moisture/temperature, and so on. The Jiefangzha Irrigation Region was selected as one of the research area, situated in the western part of the Hetao Irrigation District (40°25'N, 107°09'E). The other one was in the Daxing Experimental Station, Beijing (39°37'N, 116°25'E). The instruments were installed in the main agriculture crop fields (maize, spring wheat and sunflower) in Jiefangzha Irrigation Region, Inner Mongolia and in the rotation field of winter wheat-summer maize (Daxing Experimental Station, Beijing). The land surface temperature in the survey area was obtained by the infrared remote sensing inversion of Landsat7 and Landsat 8 in 2015. The land surface emissivity was determined by 2 methods, a simple estimation by Sobrino method and the Qin Zhihao method. Five pixels with 30 m×30 m each was selected around the monitoring system. The observed data at 11:00 and 12:00 by the instrument in the field was compared with the inversion results from remote sensing data. The results showed that the land surface temperature by the remote sensing inversion could agree well with the field crop canopy temperature. The monitoring data in situ could be the representative of the surrounding condition, which was about 90 m×90 m (5 pixels). The calculation of land surface emissivity based on Qin Zhihao method was suitable for different crops. The statistics parameters based on the Qin Zhihao method made a good performance in the sunflower field in 2015 with the coefficient of determination (R2), root mean square error (RMSE), relative error (RE) and Willmott index of 0.85, 1.97℃, 6.5% and 0.94, respectively. In the maize field, it was suitable in using the Sobrino method, with the R2, RMSE, RE and Willmott index of 0.76, 2.32℃, 7.8% and 0.92, respectively. The 2 methods had no significant difference in Daxing Station, Beijing. But the Sobrino method was better for the spring wheat in Jiefangzha Irrigation Region. The layout scheme and reasonable numbers of the monitoring systems, the drought diagnosis and irrigation management using multiple source data and the optimization and improvement of the monitoring system would be the key points to be studied in the future. © 2017, Editorial Department of the Transactions of the Chinese Society of Agricultural Engineering. All right reserved.


Chen H.-R.,China Institute of Water Resources and Hydropower Research | Chen H.-R.,National Center for Efficient Irrigation Engineering and Technology Research Beijing | Wang S.-L.,China Institute of Water Resources and Hydropower Research | Wang S.-L.,National Center for Efficient Irrigation Engineering and Technology Research Beijing
Proceedings - 2013 4th International Conference on Digital Manufacturing and Automation, ICDMA 2013 | Year: 2013

Global climate changes and human activities have a profound impact on disaster environment and formation mechanism of waterlogging disaster, exacerbating the uncertainty of waterlogging disaster and highlighting complexity and difficulty coping with the water disasters of farmland. A large number of researches on risk assessment and prediction of flood disaster have been carried out at home and abroad, and this study concluded the research progress of this direction in recent years in terms of six aspects including the connotation of disaster risk, comprehensive assessment of flood risk based on index system, the numerical models of flood disaster risk assessment, the regularity analysis of different carriers, the influence of environment changes on flood disaster risk and uncertainty of flood disaster and finally analyzed problems in the research and the future directions of development. © 2013 IEEE.


Chen Y.,National Center for Efficient Irrigation Engineering and Technology Research Beijing | Chen Y.,China Institute of Water Resources and Hydropower Research | Wang S.,National Center for Efficient Irrigation Engineering and Technology Research Beijing | Wang S.,China Institute of Water Resources and Hydropower Research | And 6 more authors.
Paiguan Jixie Gongcheng Xuebao/Journal of Drainage and Irrigation Machinery Engineering | Year: 2014

Taking Shahao canal irrigation region in Hetao irrigation district as an example, effects of different irrigation management on root-zone soil salinity were explored based on the SaltMod model in the paper. The model was calibrated and validated by using the data in 2008-2010, then the root-zone soil salinity in that region was simulated and predicted. The results showed that under the present irrigation and drainage conditions, the soil salinity not only stayed in a stable level, but has exhibited a slightly desalinated tendency, it was predicted that the root-zone salinity would be reduced by 3% after 10 years. During crop growth stage, the exchange between water and salt is remarked in the vertical direction; to control the soil salinity, irrigation water amount should be kept as small as possible. In winter, the root-zone soil salinity was decreased with increasing irrigation quota, but the slope of increase in the salinity was gradually decreased. According to the crop planting structure in a local irrigation district and comprehensively considering water saving irrigation, crop production, water and salt concentrations in the soil of root-zone, it is suggested that optimal irrigation net quota should be 2700-3500 m3/hm2 in crop growth stage, the quota in winter should be about 2700 m3/hm2.


Liu G.,National Center for Efficient Irrigation Engineering and Technology Research Beijing | Liu G.,China Institute of Water Resources and Hydropower Research | Liu Y.,National Center for Efficient Irrigation Engineering and Technology Research Beijing | Liu Y.,China Institute of Water Resources and Hydropower Research | And 2 more authors.
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | Year: 2011

Evapotranspiration (ET) temporal upscaling method plays an essential role in ET remote sensing. In order to compare the performance of evaporative fraction method, crop coefficient method and canopy resistance method to upscale daily ET from daytime measurements, the daytime variation of evaporative fraction, crop coefficient and canopy resistance were investigated and the performance of three methods were assessed. The field work was carried out in Daxing district under winter wheat surface from March to June and the ET data was measured by eddy covariance. The results showed that the crop coefficient was more constant during daytime than evaporative fraction and canopy resistance, and the closeness of daily value and hourly value for crop coefficient was better than other two parameters. Meanwhile, the crop coefficient method performed better to upscale daily ET than other two methods. It is recommended to choose crop coefficient method to upscale daily ET data for the areas with similar climate, underlying surface conditions and data with similar spatial scale in Daxing district.


Cai J.,China Institute of Water Resources and Hydropower Research | Cai J.,National Center for Efficient Irrigation Engineering and Technology Research Beijing | Xu D.,China Institute of Water Resources and Hydropower Research | Xu D.,National Center for Efficient Irrigation Engineering and Technology Research Beijing | And 3 more authors.
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery | Year: 2015

The messages of crop water deficit, soil moisture and field meteorology are the fundamental data to meet the needs of water saving, good quality and high yield in modern field irrigation management. Above all, it is very important to obtain these data at the same step in real time. A field monitoring system in real-time was presented which could support the data of crop canopy temperature, environment message and soil moisture at 1 h interval. It was powered by solar panel and controlled with a microprocessor to manage the data collection and storage.The configured sensors included infrared temperature, air temperature and humidity, soil water content, soil water potential and temperature. The infrared temperature sensor was installed at the end of the cantilever arm fitted on the upright stainless steel rod. It had a 45° inclination angle of the cantilever arm to scan the temperature of underlying surface. Each time, it collected multiple spot at 36° interval above the crop canopy and went back to the original location. Therefore, the average value of the canopy temperature would be more precise than that of the single detection. The rapid locking device could adjust the cantilever arm and sensors to the suitable position following the stainless steel rod, according to the need in different crop growth seasons. After the analysis of the monitoring data, all of these could describe the refined crop actual circumstance in the field and they can be used in irrigation decision-making and irrigation management. Moreover, how to separate reasonably the surface temperature occurred from infrared data scanned and determine the dependable threshold values of irrigation decision-making indexes, are the key points in the next step. © 2015, Chinese Society of Agricultural Machinery. All right reserved.


Chen H.-R.,China Institute of Water Resources and Hydropower Research | Chen H.-R.,National Center for Efficient Irrigation Engineering and Technology Research Beijing | Gao Z.-Y.,China Institute of Water Resources and Hydropower Research | Gao Z.-Y.,National Center for Efficient Irrigation Engineering and Technology Research Beijing | And 4 more authors.
Shuili Xuebao/Journal of Hydraulic Engineering | Year: 2012

A model of the unconfined groundwater movement in the Wuqiao County, North China Plain, was developed based on GMS-Modflow. The calibrated model was then used to simulate the response of the shallow groundwater level (SGL) to the climate change (CC) and the human activities (HA) variability under three scenarios, namely the standard, CC and HA variability in the conning 40 years. The result shows that the SGL will decline at the speed of 19.3 cm/a under current condition, thus the SGL will decrease by 7.74 m from the beginning of 2011 to the beginning of 2050. Under emission circumstances of A1B, A2 and B1, though the average annual precipitation predicted by GCMs may increase by 4.1%, 5.37% and 3.86% in the conning forty years, the SGL will decrease at 16.9 cm/a, 18.5 cm/a and 19.3 cm/a considering if direct and indirect influences of CC are considered simultaneously. This result indicates that the slight increase of the precipitation will not obviously slow down the drop of SGL in the future. Therefore, the artificial measures must be taken to retard the dropping of SGL. For relieving the dropping SGL water-saving technologies must be promoted, such as, using non-conventional water resources (e.g. the waste water) to substitute the conventional water and to raise the surface water supply. It will aggravate the SGL increase the water pumping from the confined aquifer and increase non-irrigation water.


Wang S.,China Institute of Water Resources and Hydropower Research | Wang S.,National Center for Efficient Irrigation Engineering and Technology Research Beijing | Liu D.,Hunan Hydro & Power Design Institute | Xu D.,China Institute of Water Resources and Hydropower Research | And 3 more authors.
Paiguan Jixie Gongcheng Xuebao/Journal of Drainage and Irrigation Machinery Engineering | Year: 2015

An index system is put forward to evaluate the reuse suitability of farmland drainage water in arid and semi-arid regions threatened by salinization based on fuzzy pattern recognition model. For each index, the range of standard value for every classification is specified by analyzing the relevant literature and existing technical standards comprehensively. The weight of each index is determined by making use of the analytic hierarchy process (AHP). The index system is applied to assess the reuse suitability of drainage water in five typical farmlands in Yinbei Irrigation District, Ningxia. It is shown that except Qianjin farmland the water reuse suitability in the rest farmland is all at the second grade. Particularly, the index values in the middle and late periods of irrigation are less than those in the early period of irrigation, suggesting the water reuse suitability is better than in the middle and late periods. In the middle and late periods, crops need more irrigation but fresh water is in shortage; further the crops are not sensitive to salt. Thus it is feasible to reuse a certain amount of drainage water for irrigation in those periods. ©, 2015, Editorial Department of Journal of Drainage and Irrigation Machinery Engineering. All right reserved.


Chen H.-R.,Wuhan University | Chen H.-R.,China Institute of Water Resources and Hydropower Research | Chen H.-R.,National Center for Efficient Irrigation Engineering and Technology Research Beijing | Huang J.-S.,Wuhan University | And 2 more authors.
Shuikexue Jinzhan/Advances in Water Science | Year: 2011

A comprehensive review of scale effect(SE) on the irrigation water use efficiency(IWUE) is presented in this study, including the definition and its causes as well as the upscaling techniques. SE is the composite outcome of two main causes that refer to reusing irrigation return flow and the spatial variability of local properties such as soil, crop, climate, irrigation structures, and amount of irrigation water and others. The existing indices of irrigation water use efficiency should be extended to including the connotation of water supply efficiency. Reusing irrigation return flow should be considered together with the economic constraint. The existing studies on scale effects show that the regularity with regard to indices of irrigation water use efficiency is not conclusive due to the complexity of nature conditions. Regarding to upscaling problem, the two main causes have been taken into account separately and need to be synthesized in the future studies. A reliable and practical upscaling formula is still unavailable for use to improve the practice of water management. Many efforts should be devoted to the theory of scaling as well as the scale effect of accompanying courses with the water cycle, based on the improvement of irrigation water use efficiency assessment indices.

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