Your search found 4 records
1 Shi, P.; Ge, Y.; Yuan, Y.; Guo, W.. 2005. Integrated risk management of flood disasters in metropolitan areas of China. International Journal of Water Resources Development, 21(4):613-627.
Flood water ; Risks ; Precipitation ; Runoff ; Urbanization / China / Pearl River / Yangtze River / Buji River
(Location: IWMI-HQ Call no: PER Record No: H038075)
2 Nguyen, T. T.; Ngo, H. H.; Guo, W.; Nguyen, H. Q.; Luu, C.; Dang, K. B.; Liu, Y.; Zhang, X. 2020. New approach of water quantity vulnerability assessment using satellite images and GIS-based model: an application to a case study in Vietnam. Science of The Total Environment, 737:139784. (Online first) [doi: https://doi.org/10.1016/j.scitotenv.2020.139784]
Water resources ; Vulnerability ; Assessment ; Geographical information systems ; Satellite imagery ; Remote sensing ; Climate change ; Drought stress ; Indicators ; Case studies ; Models / Vietnam
(Location: IWMI HQ Call no: e-copy only Record No: H049781)
(4.05 MB)
Water deficiency due to climate change and the world's population growth increases the demand for the water industry to carry out vulnerability assessments. Although many studies have been done on climate change vulnerability assessment, a specific framework with sufficient indicators for water vulnerability assessment is still lacking. This highlights the urgent need to devise an effective model framework in order to provide water managers and authorities with the level of water exposure, sensitivity, adaptive capacity and water vulnerability to formulate their responses in implementing water management strategies. The present study proposes a new approach for water quantity vulnerability assessment based on remote sensing satellite data and GIS ModelBuilder. The developed approach has three layers: (1) data acquisition mainly from remote sensing datasets and statistical sources; (2) calculation layer based on the integration of GIS-based model and the Intergovernmental Panel on Climate Change's vulnerability assessment framework; and (3) output layer including the indices of exposure, sensitivity, adaptive capacity and water vulnerability and spatial distribution of remote sensing indicators and these indices in provincial and regional scale. In total 27 indicators were incorporated for the case study in Vietnam based on their availability and reliability. Results show that the most water vulnerable is the South Central Coast of the country, followed by the Northwest area. The novel approach is based on reliable and updated spatial-temporal datasets (soil water stress, aridity index, water use efficiency, rain use efficiency and leaf area index), and the incorporation of the GIS-based model. This framework can then be applied effectively for water vulnerability assessment of other regions and countries.
3 Zhang, X.; Guo, P.; Guo, W.; Gong, J.; Luo, B. 2021. Optimization towards sustainable development in shallow groundwater area and risk analysis. Agricultural Water Management, 258:107225. (Online first) [doi: https://doi.org/10.1016/j.agwat.2021.107225]
Groundwater table ; Sustainable development ; Risk analysis ; Sustainable agriculture ; Agricultural development ; Crop production ; Water stress ; Water use efficiency ; Water allocation ; Water supply ; Soil water content ; Soil salinization ; Crop yield ; Energy consumption ; Uncertainty / China / Inner Mongolia Autonomous Region / Hetao Irrigation District / Yellow River
(Location: IWMI HQ Call no: e-copy only Record No: H050705)
(3.86 MB)
The projected increasing food demand in the coming decades will require substantial water and energy resources. Practical approaches are expected to propose to realize enhancing crop production while towards sustainable development in shallow groundwater area. This study integrates a process-based model, multi-objectives, and fuzzy theory into optimization model to optimize crops water allocation pattern under uncertainties of water diversion and groundwater. The process-based model considers the water exchange between soil and groundwater, water stress and salt stress on crops, and ground water level changes. The multi-objectives defined in this study balances the conflicts of maximizing crop production, maximizing water use efficiency, and minimizing energy consumption. The uncertain amount of water diversion and groundwater is presented as fuzzy numbers. The optimized water allocation pattern of 3 crops in 12 water supply response units in Hetao Irrigation District show that the crop yield does not necessarily reach to the highest potential value, though wheat and maize are allocated more water than sunflower and have larger possibility to reach high crop yield. Significant energy investment is needed for extracting and purifying groundwater to ensure relatively high crop production at the case of possible low available water. Uncertainties of water diversion and groundwater will cause a greater range of ground water level in wheat field, a high risk of water stress in sunflower field and a high risk of very severe salinization in wheat field. The different changing directions of three sub-objectives demonstrate that optimal water allocation has no uniform rule but changes with available water.
4 Wang, H.; Huang, L.; Hu, J.; Jin, Y.; Jiao, X.; Ma, Y.; Zhou, H.; Wang, B.; He, N.; Guo, W.. 2024. Drought and its ecological risk bundle from the perspective of watershed hydrological cycle. Ecological Indicators, 165:112221. (Online first) [doi: https://doi.org/10.1016/j.ecolind.2024.112221]
Drought ; Ecological factors ; Risk ; Watersheds ; Hydrological cycle ; Vegetation ; Climate change ; Runoff ; Precipitation ; Soil moisture ; Indicators ; Remote sensing ; Models / China / Dongting Lake
(Location: IWMI HQ Call no: e-copy only Record No: H052908)
https://www.sciencedirect.com/science/article/pii/S1470160X24006782/pdfft?md5=3bea2ea413a0bf51b09534bb6953b883&pid=1-s2.0-S1470160X24006782-main.pdf
https://vlibrary.iwmi.org/pdf/H052908.pdf
https://vlibrary.iwmi.org/pdf/H052908.pdf
(11.70 MB) (11.7 MB)
The mechanisms underlying the impacts of climate change and vegetation dynamics on hydrological drought in humid regions are still lacking. In this study, we connected the four components of meteorology-soil-vegetation-runoff to investigate the spatio-temporal response relationship between vegetation growth and different drought types. Based on the Variable Infiltration Capacity model and the Self-organizing Map Algorithm, we proposed ecological risk bundles at the grid scale to characterize the potential impacts of different types and levels of drought on vegetation. Furthermore, we quantified the driving impact of temporal and spatial changes in vegetation coverage on the propagation of meteorological-hydrological drought. The study found that the centers of gravity for the occurrence frequencies of extreme and mild drought shifted towards regions where vegetation growth was influenced by climate change. In certain regions of the watershed, vegetation exhibits significant spatial and temporal heterogeneity in its response to stress caused by different drought types. From 2004 to 2014, the stress on vegetation caused by moderate and mild meteorological droughts weakened, while soil moisture stress intensified after 2014. Simultaneously, the impacts of climate change and vegetation growth on runoff reached 48.25 % and 35.13 % respectively, and their synergistic effects triggered changes in the risk of co-concurrent return periods for hydrological drought events. Under the 100-year design return period, the co-occurrence return period of runoff shifted from its natural state of 162.9 years to 52.8 years, and the joint return period reversed its scenario, becoming shorter than the co-occurrence return period.
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