Your search found 11 records
1 Wang, C.; Clemmens, A. J.; Hart, W. E.; Replogle, J. A. 1988. Dynamic response of the DACL water level controller. In Proceedings of the International Conference on Irrigation System Evaluation and Water Management, Wuhan, China, 12-16 September 1988: Vols.1 & 2. Wuhan, China: Wuhan University of Hydraulic and Electrical Engineering. pp.695-712.
(Location: IWMI-HQ Call no: 631.7.8 G000 PRO Record No: H06709)
2 Wang, C.; Clemmens, A. J.; Hart, W. E. 1990. Dynamic response of automatic water-level controller 1: Theory. Journal of Irrigation and Drainage Engineering, 116(1):769-783.
(Location: IWMI-HQ Call no: PER Record No: H07365)
3 Clemmens, A. J.; Wang, C.; Replogle, J. A. 1990. Dynamic response of automatic water-level controller II: Application. Journal of Irrigation and Drainage Engineering, 116(6):784-796.
(Location: IWMI-HQ Call no: PER Record No: H07366)
4 Wang, C.; Mortazavi, B.; Liang, W. K.; Sun, N. Z.; Yeh, W. W. G. 1995. Model development for conjunctive use study of the San Jacinto Basin, California. Water Resources Bulletin, 31(2):227-241.
Conjunctive use ; Surface water ; Groundwater ; Recharge ; Mathematical models ; Calibrations ; River basins / USA / California
(Location: IWMI-HQ Call no: PER Record No: H016850)
5 Wang, C.; Ongley, E. D. 2004. Transjurisdictional water pollution management: The Huai River example. Water International, 29(3):290-298.
(Location: IWMI-HQ Call no: PER Record No: H035966)
6 Wang, H.; Wang, C.; Wang, J.; Qin, D. 2004. Investigations into the effects of human activities on the hydrological cycle in the Yellow River Basin. Water International, 29(4):499-509.
River basins ; Hydrology ; Runoff ; Water conservation ; Soil conservation / China / Yellow River Basin
(Location: IWMI-HQ Call no: PER Record No: H036718)
7 Wang, C.; Whitehead, C. D.; Chen, J.; Liu, X.; Chu, J. 2006. Options for the future: Balancing urban water supply and demand in Beijing. Water Policy, 8(2):97-110.
(Location: IWMI-HQ Call no: PER Record No: H038643)
8 Karki, M.; Senaratna Sellamuttu, Sonali; Okayasu, S.; Suzuki, W.; Acosta, L. A.; Alhafedh, Y.; Anticamara, J. A.; Ausseil, A.-G.; Davies, K.; Gasparatos, A.; Gundimeda, H.; Ibrahim, F.-H.; Kohsaka, R.; Kumar, R.; Managi, S.; Ning, W.; Rajvanshi, A.; Rawat, G. S.; Riordan, P.; Sharma, S.; Virk, A.; Wang, C.; Yahara, T.; Yeo-Chang, Y. 2018. The regional assessment report on biodiversity and ecosystem services for Asia and the Pacific.Summary for policymakers. Bonn, Germany: Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES). 44p.
Ecosystem services ; Biodiversity ; Policy making ; Natural resources ; Sustainable development ; Poverty ; Economic growth ; Waste management ; Food security ; Forest management / Asia and the Pacific
(Location: IWMI HQ Call no: e-copy only Record No: H048875)
https://www.ipbes.net/system/tdf/spm_asia-pacific_2018_digital.pdf?file=1&type=node&id=28394
https://vlibrary.iwmi.org/pdf/H048875.pdf
https://vlibrary.iwmi.org/pdf/H048875.pdf
(2.91 MB)
9 Xue, J.; Huo, Z.; Wang, S.; Wang, C.; White, I.; Kisekka, I.; Sheng, Z.; Huang, G.; Xu, X. 2020. A novel regional irrigation water productivity model coupling irrigation- and drainage-driven soil hydrology and salinity dynamics and shallow groundwater movement in arid regions in China. Hydrology and Earth System Sciences, 24(5):2399-2418. [doi: https://doi.org/10.5194/hess-24-2399-2020]
Irrigation water ; Water productivity ; Models ; Irrigation canals ; Drainage systems ; Groundwater table ; Hydrology ; Salinity ; Cropping patterns ; Soil moisture ; Crop water use ; Crop production ; Sunflowers ; Wheat / China / Jiefangzha Irrigation District
(Location: IWMI HQ Call no: e-copy only Record No: H049768)
https://www.hydrol-earth-syst-sci.net/24/2399/2020/hess-24-2399-2020.pdf
https://vlibrary.iwmi.org/pdf/H049768.pdf
https://vlibrary.iwmi.org/pdf/H049768.pdf
(3.87 MB) (3.87 MB)
The temporal and spatial distributions of regional irrigation water productivity (RIWP) are crucial for making decisions related to agriculture, especially in arid irrigated areas with complex cropping patterns. Thus, in this study, we developed a new RIWP model for an irrigated agricultural area with complex cropping patterns. The model couples the irrigation- and drainage-driven soil water and salinity dynamics and shallow groundwater movement in order to quantify the temporal and spatial distributions of the target hydrological and biophysical variables. We divided the study area into 1 km × 1 km hydrological response units (HRUs). In each HRU, we considered four land use types: sunflower fields, wheat fields, maize fields, and uncultivated lands (bare soil). We coupled the regional soil hydrological processes and groundwater flow by taking a weighted average of the water exchange between unsaturated soil and groundwater under different land use types. The RIWP model was calibrated and validated using 8 years of hydrological variables obtained from regional observation sites in a typical arid irrigation area in North China, the Hetao Irrigation District. The model simulated soil moisture and salinity reasonably well as well as groundwater table depths and salinity. However, overestimations of groundwater discharge were detected in both the calibration and validation due to the assumption of well-operated drainage ditch conditions; regional evapotranspiration (ET) was reasonably estimated, whereas ET in the uncultivated area was slightly underestimated in the RIWP model. A sensitivity analysis indicated that the soil evaporation coefficient and the specific yield were the key parameters for the RIWP simulation. The results showed that the RIWP decreased from maize to sunflower to wheat from 2006 to 2013. It was also found that the maximum RIWP was reached when the groundwater table depth was between 2 and 4 m, regardless of the irrigation water depth applied. This implies the importance of groundwater table control on the RIWP. Overall, our distributed RIWP model can effectively simulate the temporal and spatial distribution of the RIWP and provide critical water allocation suggestions for decision-makers.
10 Li, K.; Zhang, H.; Li, X.; Wang, C.; Zhang, J.; Jiang, R.; Feng, G.; Liu, X.; Zuo, Y.; Yuan, H.; Zhang, C.; Gai, J.; Tian, J. 2021. Field management practices drive ecosystem multifunctionality in a smallholder-dominated agricultural system. Agriculture, Ecosystems and Environment, 313:107389. (Online first) [doi: https://doi.org/10.1016/j.agee.2021.107389]
Farming systems ; Smallholders ; Ecosystem services ; Agroecosystems ; Management techniques ; Farmland ; Soil microorganisms ; Agrochemicals ; Fertilizers ; Households ; Farm income ; Farmers ; Socioeconomic aspects / China / Hebei / Quzhou
(Location: IWMI HQ Call no: e-copy only Record No: H050334)
(6.12 MB)
Agroecosystems provide multiple goods and services that are important for human welfare. Despite the importance of field management practices for agroecosystem service delivery, the links of socioeconomic factors, management practices and ecosystem multifunctionality have rarely been explicitly evaluated in agroecosystems. Here we used a county-scale database with 100 farmer households and their farmlands, and analyzed the relative importance of management practices, soil abiotic environment and soil biota on multifunctionality under three distinct (‘smallholder’s viewpoint’, ‘sustainable soils’ and ‘equal weight’) scenarios. Furthermore, we also analyzed the effect of smallholders’ socioeconomic factors on management practices. Our results found that smallholders’ high inputs of fertilizers and agrochemicals were associated with their high agricultural income and less farmland area, but total land area had a positive effect on straw incorporation. Total soil biota index was positively related to multifunctionality, however, management practices (fertilizer input, agrochemical input, organic fertilizer amount and straw incorporation) had stronger effect on multifunctionality than that of soil biota or the abiotic environment. Their strength varied with distinct scenarios. Our work suggests that increasing organic materials (organic fertilizers and crop residues) and decreasing agrochemicals are beneficial for maintaining or increasing ecosystem multifunctionality in smallholder-dominated agroecosystems. Moreover, improving management practices of smallholders needs to take into account the effects of their socioeconomic factors.
11 Yuan, D.; Du, M.; Yan, C.; Wang, J.; Wang, C.; Zhu, Y.; Wang, H.; Kou, Y. 2024. Coupling coordination degree analysis and spatiotemporal heterogeneity between water ecosystem service value and water system in Yellow River Basin cities. Ecological Informatics, 79:102440. (Online first) [doi: https://doi.org/10.1016/j.ecoinf.2023.102440]
Ecosystem services ; Models ; Towns ; Urbanization ; Water quality ; Indicators ; Water resources ; Wastewater ; Water pollution / China / Yellow River Basin / Lanzhou / Yinchuan / Hohhot / Xi'an / Zhengzhou / Jinan
(Location: IWMI HQ Call no: e-copy only Record No: H052430)
https://www.sciencedirect.com/science/article/pii/S1574954123004697/pdfft?md5=6c5a2b78ac65a17f1fc91045bbbe3ee2&pid=1-s2.0-S1574954123004697-main.pdf
https://vlibrary.iwmi.org/pdf/H052430.pdf
https://vlibrary.iwmi.org/pdf/H052430.pdf
(11.70 MB) (11.7 MB)
Accelerated urbanization has caused encroachment on urban water ecological land in China's Yellow River basin, resulting in a strong disturbance of water ecosystem service functions and increasingly serious water ecological environmental problems. In this study, two entities—water ecosystem service value (WESV) and the urban water system—are identified, to investigate the interactions between WESV and the urban water systems and their subsystems in six Yellow River basin cities (Lanzhou, Yinchuan, Hohhot, Xi'an, Zhengzhou, and Jinan) from 2005 to 2020. First, the integrated level of the WESV and the water system in each city is calculated using the modified and developed method of equivalence factor per unit area and the entropy method, respectively. Then, the coupling coordination relationship and interactions between WESV and the water system in each city are revealed by using the coupling coordination degree model (CCDM) and the Geographically and Temporally Weighted Regression (GTWR). The results show that: 1) The level of both WESV and the water system in each city basically shows an increasing trend, the hydrological regulation function dominates the water ecosystem service functions, and the comprehensive evaluation level of the water environment is generally higher than that of the other urban water system's subsystems. 2) The degree of coupling coordination between WESV and the water system in each city gradually rose from extreme incoordination to basically coordination, and the coupling coordination degree (CCD) between WESV and the water environment and the water resources also shows an obvious upward trend, but the CCD between WESV and water safety is developing more slowly. 3) The area where the WESV and the water system have greater positive impacts are primarily focused in Lanzhou and Xi'an, while the negative impacts are mainly located in Yinchuan and Zhengzhou. In summary, in the planning and decision-making of cities in the Yellow River basin or other basin cities, it is critical to promote the protection of water ecology and high-quality development in cities by clearly understanding the interaction between water ecosystem services and the water system, and coordinating and balancing development between the two systems.
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