Your search found 11 records
1 Cabangon, R. J.; Tuong, T. P.; Castillo, E. G.; Bao, L. X.; Lu, G.; Wang, G.; Cui, Y.; Bouman, B. A. M.; Li, Y.; Chen, C.; Wang, J. 2004. Effect of irrigation method and N-fertilizer management on rice yield, water productivity and nutrient-use efficiencies in typical lowland rice conditions in China. Paddy and Water Environment, 2:195-206.
Rice ; Paddy fields ; Crop yield ; Irrigated farming ; Experiments ; Water balance ; Productivity ; Fertilizers ; Nitrogen ; Climate / China
(Location: IWMI-HQ Call no: P 7105 Record No: H035933)
2 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)
3 Cai, Xueliang; Cui, Y.; Dong, B. 2007. Estimating pond storage capacity using remote sensing and GIS: A case study in Zhanghe irrigation scheme, southern China. In Proceedings of the 2nd International Symposium on Methodology in Hydrology, held in Nanjing, China, October – November, 2005. IAHS Publication 311, 2007. 6p.
Ponds ; Water storage ; Topography ; GIS ; Remote sensing / China / Hubei Province / Zhanghe Irrigation Scheme
(Location: IWMI HQ Call no: IWMI 631.7.1 G592 CAI Record No: H040567)
There are numerous ponds in Southern China and it is very difficult to evaluate their contribution to local water users because of their small size and wide variance. This paper presents two methods for estimating pond storage capacity using RS/GIS. One is to estimate pond storage capacity as a function of the topographic factors. An indicator, PV, pond storage capacity per unit rice area of 86 villages, is calculated, and then the correlation between PV, slope, altitude and drainage density is calculated to estimate the pond storage capacity of whole study area. The other method is to extrapolate estimated results from a high resolution image of small scale to a low resolution image of large scale area. With field information and IKONOS image (1 m), the pond storage of a small scale area is estimated using a pond surface area–volume function, and then the value is extrapolated to large scale area with reference to a LandSat ETM image (14.25 m). The two methods are applied to Zhanghe irrigation district, and the application results show that the results are acceptable.
4 Cai, Xueliang; Cui, Y.. 2009. Crop planting structure extraction in irrigated areas from multi-sensor and multi-temporal remote sensing data. In Chinese. Transactions of the Chinese Society of Agricultural Engineering, 25(8):124-130.
Remote sensing ; Irrigated land ; Crop management ; Rice ; Wheat / China / Zhanghe Irrigation System
(Location: IWMI HQ Call no: e-copy only Record No: H042411)
(1.13 MB)
Crop planting structure extraction in irrigated areas includes a range of dynamic parameters which require proper spatial and temporal resolution remotely sensed data. The paper seeks to extract crop planting structure by employing multi-temporal images from multi-sensors. Landsat enhanced thematic mapper plus (ETM+) images and moderate resolution imaging spectroradiometer (MODIS) normalized difference vegetation index (NDVI) monthly data were res-merged to produce a mega data tube, which was then classified using ISO cluster algorithm. Spectral signature of each class was extracted and identified using spectral matching technique taking crop coefficient curve as reference. In the way Zhanghe Irrigation system in southern China was classified into four classes: rice-rapeseed rotation, rice-wheat rotation, single summer crops, and double economic crops. Accuracy assessment suggests good agreement with statistical data and 91% classification accuracy when using IKONOS high resolution images as Ground Truth data. The application demonstrates the method a cost-efficient and robust approach to extract crop planting structure at irrigation system scale.
5 Cai, Xueliang; Cui, Y.; Roost, N. 2011. Modelling water flows in irrigated areas - a case study in Zhanghe Irrigation System, China. In Abesser, C.; Nutzmann, G.; Hill, M. C.; Bloschl, G.; Lakshmanan, E. (Eds.). Conceptual and modelling studies of integrated groundwater, surface water, and ecological systems: proceedings of the Symposium HS01 held during the IUGG GA, Melbourne, Australia, 28 June - 7 July 2011. Wallingford, UK: International Association of Hydrological Sciences (IAHS). pp.265-268. (IAHS Publication 345)
Flow discharge ; Irrigation systems ; Irrigation water ; Tanks ; Waterfalls ; Case studies ; Water balance ; Models ; Calibration ; GIS ; Remote sensing / China / Zhanghe Irrigation System
(Location: IWMI HQ Call no: e-copy only Record No: H044568)
(0.08 MB) (80.26KB)
Hydrological modelling faces great difficulties in irrigated areas due to the highly dynamic water cycling processes caused by irrigation and drainage practices. This paper describes a study on process-based water balance modelling integrated with remote sensing/GIS spatial analysis in the Zhanghe Irrigation System, southern China. Irrigation water re-use through local water storage was analysed based on remote sensing interpretations and GIS spatial modelling. Time series evapotranspiration is estimated using a Simplified Surface Energy Balance (SSEB) algorithm with Landsat ETM+ imagery. The results are then fed into an irrigation diagnosis and planning tool OASIS to assess the water balance in the irrigated areas and the impacts on irrigation performance. The results revealed that the intensive canal system and local storage with irrigation management practices have significantly altered the hydrological processes of the region. Local storage, including farm ponds, contributed significantly to improve water productivity and sustain high yields at times of main canal failure. The study suggests that, to better model water flows in irrigated systems, a balanced modelling approach is required between simulating the complex hydrological processes and accounting water budget components.
6 Cai, Xueliang; Cui, Y.; Roost, N. 2011. Modelling water re-uses of a tank cascade irrigation system based on satellite and field observations. In Hafeez, M.; Van De Giesen, N.; Bardsley, E.; Seyler, F.; Pail, R.; Taniguchi, M. (Eds.). GRACE, remote sensing and ground-based methods in multi-scale hydrology: proceedings of the Symposium JHS01 held during the IUGG GA in Melbourne, Australia, 28 June - 7 July 2011. Wallingford, UK: International Association of Hydrological Sciences (IAHS). pp.125-130. (IAHS Publication 343)
Tanks ; Waterfalls ; Models ; Irrigation systems ; Canals ; GIS ; Remote sensing ; Satellite surveys ; Water balance ; Water reuse ; Monitoring / China / Zhanghe Irrigation System
(Location: IWMI HQ Call no: e-copy only Record No: H044569)
(0.65 MB) (661.26KB)
Many canal irrigation systems in southern China are supplemented by numerous surface storages, which are often connected to one another, leading to improved flexibility in managing water. This study aims to examine the role of storage cascades in capturing and re-using return flows through water balance modelling based on satellite and field observations. The weather data, irrigation application, and pond water level have been monitored in two selected cascades, and a water balance model is developed to account for the dynamic water balance with inputs from remote sensing and GIS analysis. The results showed that, on average, each storage structure is connected to 4.8 others, facilitating intense water re-use in the region. The return flows captured by cascades account for up to 20% of irrigation diversions. However, there are significant losses during the redistribution processes. Remote sensing and GIS-based analysis have proved powerful techniques in parameterizing complex hydrological processes.
7 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.
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 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.
11 Wang, F.; Chun, W.; Cui, Y.. 2022. Urban water resources allocation and low-carbon economic development based on soft computing. Environmental Technology and Innovation, 28:102292. (Online first) [doi: https://doi.org/10.1016/j.eti.2022.102292]
Water resources ; Water allocation ; Urban areas ; Carbon ; Economic development ; Social development ; Environmental protection ; Precipitation ; Greenhouse gas emissions ; Economic growth ; Policies / China
(Location: IWMI HQ Call no: e-copy only Record No: H051210)
https://www.sciencedirect.com/science/article/pii/S235218642200013X/pdfft?md5=b4c4384459e11d14fd1300debdb94dcd&pid=1-s2.0-S235218642200013X-main.pdf
https://vlibrary.iwmi.org/pdf/H051210.pdf
https://vlibrary.iwmi.org/pdf/H051210.pdf
(1.07 MB) (1.07 MB)
The allocation of urban water resources is an important way to deal with the increasingly serious urban water pollution problems. Analyzing urban water resources and scientific research, so that relatively limited water resources can be used for urban economic, social development and ecological environmental protection. Effective and reasonable configuration. On the basis of soft computing, this article discusses the rational distribution of water resources in various countries in the world, combined with the specific conditions of a city in the scientific research area, and conducts scientific research on comprehensive economics. Subsequently, this article also conducted a certain scientific research on the development trend of low-carbon economy. Scientific research on the development trend of China’s low-carbon economy is one of the hotspots of academic concern. Carefully analyze the shortcomings of the whole process of China’s low-carbon economy development trend, deeply explore its development trend management system, examine the continuous impact of the low-carbon economy on the world’s rights and interests from the perspective of game theory, and analyze the interest game among enterprises, the masses, and financial institutions; A more comprehensive scientific research has been conducted on preferential policies under the development trend of low-carbon economy. This paper establishes a framework management system for China’s low-carbon economic development: China must actively explore based on its own basic national conditions, blaze a path of successful low-carbon economic development, and contribute to the global low-carbon environmental development trend. Focusing closely on the core of low-carbon construction, establish technological innovation, carbon emission rights trading, popular concepts, and improve China’s framework system for the development of a low-carbon economy with the current policy management system as the main content. In this paper, through the research on soft computing and its application in urban water resources allocation and low-carbon economic development, it aims to promote its vigorous development.
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