Your search found 11 records
1 He, C.; Cheng, S. K.; Luo, Y.. 2005. Desiccation of the Yellow River and the South Water Northward Transfer Project. Water International, 30(2):261-268.
Rivers ; Water shortage ; Water demand ; Water resource management ; Water storage ; Water delivery / China / Yellow River
(Location: IWMI-HQ Call no: PER Record No: H037856)
2 Yuan, G.; Luo, Y.; Sun, X.; Tang, D. 2004. Evaluation of a crop water stress index for detecting water stress in winter wheat in the North China Plain. Agricultural Water Management, 64(1):29-40.
(Location: IWMI-HQ Call no: PER Record No: H033705)
3 Luo, Y.; Khan, S.; Cui, Y.; Zhang, Z.; Zhu, X. 2006. Sustainable irrigation water management in the lower Yellow River Basin: A system dynamics approach. In Willett, I. R.; Gao, Z. (Eds.) Agricultural water management in China: Proceedings of a workshop held in Beijing, China, 14 September 2005. Canberra, Australia: ACIAR. pp.101-110.
Irrigation management ; River basins ; Groundwater management ; Simulation models / China / Lower Yellow River Basin
(Location: IWMI-HQ Call no: 631.7 G592 WIL Record No: H039224)
4 Jain, S. K.; Sharma, Bharat R.; Zahid, A.; Jin, M.; Shreshtha, J. L.; Kumar, V.; Rai, S. P.; Hu, J.; Luo, Y.; Sharma, D. 2009. A comparative analysis of the hydrology of the Indus-Gangetic and Yellow River basins. In Mukherji, Aditi; Villholth, K. G.; Sharma, Bharat R.; Wang, J. (Eds.) Groundwater governance in the Indo-Gangetic and Yellow River basins: realities and challenges. London, UK: CRC Press. pp.43-64. (IAH Selected Papers on Hydrogeology 15)
Hydrogeology ; River basins ; Groundwater irrigation ; Irrigation systems ; Aquifers ; Water use / China / India / Pakistan / Bangladesh / Nepal / Indus Basin / Ganges Basin / Yellow River Basin / Ordos Basin / Huang-Huai-Hai plain
(Location: IWMI HQ Call no: IWMI 631.7.6.3 G570 MUK Record No: H042222)
(0.51 MB)
5 Cai, Xueliang; Cui, Y.; Dai, J.; Luo, Y.. 2012. Local storages: the impact on hydrology and implications for policy making in irrigation systems. Water International, 37(4):395-407. (Special issue on "How hydrological models support informed decision making in developing countries" with contributions by IWMI authors). [doi: https://doi.org/10.1080/02508060.2012.707380]
Hydrology ; Irrigation systems ; Irrigation development ; Reservoirs ; Water storage ; Water reuse ; Water balance ; Drainage ; Policy making ; Models ; Ponds ; Crop yield ; Remote sensing ; Rain / China / Zhanghe Irrigation System
(Location: IWMI HQ Call no: PER Record No: H045026)
(0.61 MB)
OASIS, an irrigation diagnosis model, is applied to the Zhanghe Irrigation System in central China to investigate the contribution of smaller local storages (in “melons on the vine” configuration) as compared with the main reservoir. Results show that local storages are more important in normal-to-wet years, while the main reservoir is critical in dry years, which implies a strong policy correction relevant to many parts of the world. Balanced investment in various storage infrastructures with associated management practices is a cost-effective strategy for irrigation development.
6 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)
(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.
7 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)
(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.
8 Wu, D.; Cui, Y.; Luo, Y.. 2019. Irrigation efficiency and water-saving potential considering reuse of return flow. Agricultural Water Management, 221:519-527. [doi: https://doi.org/10.1016/j.agwat.2019.05.021]
Irrigation efficiency ; Water conservation ; Water reuse ; Return flow ; Irrigation systems ; Irrigation water ; Drainage ; Watersheds ; Ponds ; Hydrology ; Assessment ; Indicators ; Models / China / Hubei / Yangshudang Watershed
(Location: IWMI HQ Call no: e-copy only Record No: H049259)
(1.26 MB)
Irrigation efficiency (IE) and water-saving potential (WSP) are two fundamental parameters for assessing water use and management in irrigation systems. A new calculation method was proposed herein to accurately estimate the IE and WSP in irrigation systems. The proposed method considers the reuse of return flow. A modified Soil and Water Assessment Tool (SWAT) was used to simulate hydrological processes under various water-saving scenarios for the Yangshudang (YSD) watershed within the Zhanghe Irrigation System (ZIS) in Hubei Province, China. The dry year of 2010 was chosen as a study case. Based on simulation results, the traditional irrigation efficiency (IE) and water-saving potential (WSP) as well as the irrigation efficiency taking into account the reuse of return flow (IE) and water-saving potential considering the reuse of return flow (WSP) were calculated for various scenarios. The relationships between the two IE indicators and the cause thereof, as well as the two WSP values, were analyzed and explored. The results showed that both IE and WSP were improved with the enhancement of water saving. As long as there was the reuse of return flow, must be greater than . Moreover, in terms of water-saving approaches that improved the reuse rate of return flow, was determined to be greater than , thereby suggesting that the traditional method underestimated the WSP. However, for water-saving approaches that reduced the reuse rate of return flow, was determined to be less than , which suggested that the traditional method overestimated the WSP. The relationship between and was attributed to the fact that was calculated by subtracting the amount of the water saved by the reuse of return flow on the basis of , and this difference can be either positive or negative. Therefore, the managers of irrigation systems should use as the actual IE but not , and use instead of to evaluate the actual WSP.
9 Chen, M.; Luo, Y.; Shen, Y.; Han, Z.; Cui, Y. 2020. Driving force analysis of irrigation water consumption using principal component regression analysis. Agricultural Water Management, 234:106089 (Online first) [doi: https://doi.org/10.1016/j.agwat.2020.106089]
Irrigation water ; Water use ; Water resources ; Climatic factors ; Economic development ; Planting methods ; Models ; Techniques ; Principal component analysis ; Regression analysis ; Cluster analysis / China
(Location: IWMI HQ Call no: e-copy only Record No: H049567)
(4.91 MB)
The effective management of irrigation water consumption is one of the main countermeasures to combat water shortages. This paper introduced an integrated approach to determine the major factors influencing irrigation water consumption in China. It combined multiple linear regression and principal component analysis to analyze the relationship between irrigation water consumption and influencing factors and then applied analytic hierarchy process and cluster analysis to analyze the spatial variation in driving factors of irrigation water consumption. Based on statistical data from the 31 provinces of China from 2000 to 2015, the results showed that irrigation water consumption was positively affected by the planting size, the ratio of surface water in water consumption (RSW), the planting structure, the annual ET0 (AE) and the annual average temperature (AAT); in contrast, consumption was generally negatively affected by irrigation technique, economic development, and annual rainfall (AR). The water consumption structure, irrigation technique and planting structure were major influential factors in most provinces of China, and there were significant differences in different regions; thus, regions should be restructured to be studied as subregions. For the total consumption of irrigation water, Central China was mainly affected by the water consumption structure, irrigation technique and climatic conditions, and North and Northwest China were hardly influenced by planting structure. Northeast, Southwest and southeastern coastal China were slightly affected by climatic conditions. For the per unit area irrigation water consumption, Central China was mainly affected by the water consumption structure, irrigation technique, planting size and climatic conditions, Southwest, South, East and Northeast China were mainly affected by the planting structure and planting size, and Northwest and North China were mainly influenced by the irrigation technique, water consumption structure and planting size.
10 Chai, Y.; Zhang, H.; Luo, Y.; Wang, Y.; Zeng, Y. 2021. Payments for ecosystem services programs, institutional bricolage, and common pool resource management: evidence from village collective-managed irrigation systems in China. Ecological Economics, 182:106906. (Online first) [doi: https://doi.org/10.1016/j.ecolecon.2020.106906]
Payments for ecosystem services ; Irrigation systems ; Collective action ; Resource management ; Institutions ; Villages ; Government ; Water allocation ; Infrastructure ; Economic aspects ; Environmental impact ; Benefits ; Equity ; Policies ; Households ; Communities / China / Guangdong / Xuwen
(Location: IWMI HQ Call no: e-copy only Record No: H050237)
(0.86 MB)
This study investigates the effect of payments for ecosystem services (PES) programs on common pool resource management in the context of village collective-managed irrigation systems (VMISs) in China. Drawing on institutional bricolage theory, we propose that the functioning of a PES program depends on its combination with local institutions. We infer transaction cost-reduction and trust-strengthening mechanisms as the two pathways for institutional bricolage to illustrate the process whereby a PES program enables a VMIS to internalise positive externalities. Based on data from a field survey at the household level, our empirical results confirm that a PES program is an effective means of improving the performance of VMISs in terms of environmental, economic, and equitable benefits, because it aligns benefits for the village collective with those for the overall society. We conclude that a PES program is of greater benefit to communities with local institutions and that PES programs and local institutions exert an interactive impact as they reinforce each other's effect on common pool resource management.
11 Wei, J.; Cui, Y.; Zhou, S.; Luo, Y.. 2022. Regional water-saving potential calculation method for paddy rice based on remote sensing. Agricultural Water Management, 267:107610. (Online first) [doi: https://doi.org/10.1016/j.agwat.2022.107610]
Water conservation ; Rice ; Remote sensing ; Irrigation water ; Flood irrigation ; Water balance ; Energy balance ; Evapotranspiration ; Surface temperature ; Mapping ; Drainage ; Datasets ; Models / China / Hubei / Zhanghe Irrigation District
(Location: IWMI HQ Call no: e-copy only Record No: H051065)
(6.00 MB)
To improve the calculation applicability and operability of regional water-saving potential (RWSP) for paddy rice, a calculation method based on remote sensing (RWSP-RS) was proposed. RWSP-RS consists of three sections: (a) paddy rice mapping by the decision tree algorithm, (b) rice evapotranspiration (ET) inversion under different irrigation modes by the surface energy balance algorithm for land (SEBAL), and (c) WSP based on ET (WSPE) and irrigation (WSPI) calculation by coupling water balance models for paddy fields. The RWSP-RS was applied in the Zhanghe Irrigation District in southern China in 2018 and 2019. The results showed that the three sections of RWSP-RS had high precision: paddy rice mapping errors ranged from 2% to 16%; WSPE of paddy rice errors were 26 mm and 5 mm for 2018 and 2019, respectively; and WSPI errors were 5 mm and 23 mm for 2018 and 2019, respectively. The WSPI of paddy rice in the whole region was 44.52 million m3 and 99.12 million m3 for 2018 and 2019, respectively. RWSP-RS has the characteristics of solid operability, good regional applicability, and time and labor savings, making it a recommended method for calculating the RWSP of paddy rice and contributing to regional water resource management.
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