Your search found 4 records
1 Zhao, Y.; Xu, X.. 2012. China-Africa agricultural co-operation, African land tenure reform and sustainable farmland investments. In Allan, T.; Keulertz, M.; Sojamo, S.; Warner, J. (Eds.). Handbook of land and water grabs in Africa: foreign direct investment and food and water security. London, UK: Routledge. pp.421-435.
Agriculture ; Cooperation ; Land tenure ; Land reform ; Farmland ; Foreign investment / China / Africa
(Location: IWMI HQ Call no: 333.91 G000 ALL Record No: H045693)
2 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.
3 Xiong, L.; Xu, X.; Engel, B.; Xiong, Y.; Huang, Q.; Huang, G. 2021. Predicting agroecosystem responses to identify appropriate water-saving management in arid irrigated regions with shallow groundwater: realization on a regional scale. Agricultural Water Management, 247:106713. (Online first) [doi: https://doi.org/10.1016/j.agwat.2020.106713]
Water conservation ; Water management ; Agroecosystems ; Forecasting ; Arid zones ; Groundwater ; Watersheds ; Irrigation water ; Irrigated sites ; Farmland ; Crop yield ; Vegetation ; Soil salinity ; Soil water ; Hydrology / China / Yellow River Basin / Jiyuan Irrigation System
(Location: IWMI HQ Call no: e-copy only Record No: H050201)
(10.00 MB)
Scenario analysis is the basis of developing rational water management practices (WMPs) for watersheds. How to predict future hydrological responses on a regional-scale is still a challenge for modeling work in irrigated watersheds with shallow groundwater environments. Therefore, this paper presents an efficient realization of predicting regional agroecosystem responses and searching for appropriate WMPs, through using a water balance-based, semi-distributed hydrological model (SWAT-AG). The scenario case study is carried out in the Jiyuan Irrigation System located in the Hetao of upper Yellow River basin, based on the calibrated and validated modeling work in our previous companion paper. Eight scenarios of water-saving practices (WSPs) are proposed, with consideration for reducing irrigation depth and controlling initial groundwater depth. Then the coupled responses of agroecosystem processes to various WSPs are predicted for the case study region in 2012 and 2013, mainly related to the groundwater depth, root zone soil water and salinity, and crop yield/natural vegetation biomass. Based on the analysis for proposed scenarios, the 100% of present irrigation depth combined with increasing initial GWD by 50 cm are recommended as appropriate WSPs for dry years, and the 80% of present irrigation depth combined with increasing initial GWD by 100 cm are recommended for wet years, in order to maintain good environmental conditions for both crops and natural vegetation. In addition, results show that SWAT-AG could overcome the scale/function limitations of traditional soil/crop models and also avoid computational issues of numerical models. We further point out that the scenarios in reality will be more complicated and comprehensive in time and space, and thus the predictions should be updated accordingly. Overall, this case study fully presents the feasibility and practicality of using the SWAT-AG model to realize the scenario response analysis and water management decision-making on a region scale for irrigated watersheds with shallow groundwater environments.
4 Xu, X.; Chen, Y.; Zhou, Y.; Liu, W.; Zhang, X.; Li, M. 2023. Sustainable management of agricultural water rights trading under uncertainty: an optimization-evaluation framework. Agricultural Water Management, 280:108212. (Online first) [doi: https://doi.org/10.1016/j.agwat.2023.108212]
Water rights ; Uncertainty ; Optimization methods ; Evaluation ; Water resources ; Irrigation water ; Hydrological cycle ; Models ; Evapotranspiration ; Economic benefits ; Water supply ; Water demand ; Water use ; Indicators ; Water footprint ; Carbon footprint ; Water allocation ; Sustainable development ; Rice / China / Heilongjiang
(Location: IWMI HQ Call no: e-copy only Record No: H051718)
https://www.sciencedirect.com/science/article/pii/S037837742300077X/pdfft?md5=3053b49293b0c5e8a5380876d7685ede&pid=1-s2.0-S037837742300077X-main.pdf
https://vlibrary.iwmi.org/pdf/H051718.pdf
https://vlibrary.iwmi.org/pdf/H051718.pdf
(5.41 MB) (5.41 MB)
The optimal allocation of agricultural water rights is of great importance in promoting the efficient management of water resources in irrigation areas. In the process of agricultural water rights allocation, problems develop when the dynamics and uncertainties caused by changes in water cycle elements are ignored. To balance socioeconomic development and environmental protection, this study develops a model framework for evaluating and optimizing the synergistic management of agricultural water rights allocation trading under multiple uncertainties (AWRAS-TCME). The model is capable of reflecting the dynamic changes in meteorological and hydrological factors such as rainfall, evapotranspiration and runoff and quantitatively measures the synergistic effect of multidimensional objectives of the economy-society-resources-environment on water rights allocations and transactions. The AWRAS-TCME model integrates a two-level multiobjective nonlinear programming model and a projection tracking model into a framework to measure the fairness and economic benefits of water rights allocation based on an analysis of the sustainability of water rights prices in multiple dimensions, fully considering the influence of uncertainties in hydrological and social systems. The model was applied to an actual irrigation area, and the results showed that (1) total optimized water rights allocation was reduced by 4.7–20.9% at different levels of water supply and demand; (2) the total volume of water rights transfer among regions was increased by 4.8%-12.9%, and the trading volume of the water rights market was increased to account for 5%-16.2% of the total revenue; and (3) the optimal net income of water rights allocation was increased by 1.2%-3.3%, and the equity of water rights allocation was increased by 0.06–0.09. The developed model promotes the sustainable utilization of agricultural water resources in irrigated areas.
Powered by DB/Text WebPublisher, from
