Your search found 2 records
1 Qian, Y.; Chakraborty, T. C.; Li, J.; Li, D.; He, C.; Sarangi, C.; Chen, F.; Yang, X.; Leung, L. R.. 2022. Urbanization impact on regional climate and extreme weather: current understanding, uncertainties, and future research directions. Advances in Atmospheric Sciences, 39(6):819-860. [doi: https://doi.org/10.1007/s00376-021-1371-9]
Climate change ; Extreme weather events ; Urbanization ; Uncertainty ; Precipitation ; Air temperature ; Air pollution ; Air quality ; Towns ; Satellite observation ; Meteorological stations ; Heat stress ; Surface temperature ; Vegetation ; Land cover ; Land use ; Boundary layers ; Turbulence ; Models / China
(Location: IWMI HQ Call no: e-copy only Record No: H051076)
https://link.springer.com/content/pdf/10.1007/s00376-021-1371-9.pdf
https://vlibrary.iwmi.org/pdf/H051076.pdf
https://vlibrary.iwmi.org/pdf/H051076.pdf
(3.73 MB) (3.73 MB)
Urban environments lie at the confluence of social, cultural, and economic activities and have unique biophysical characteristics due to continued infrastructure development that generally replaces natural landscapes with built-up structures. The vast majority of studies on urban perturbation of local weather and climate have been centered on the urban heat island (UHI) effect, referring to the higher temperature in cities compared to their natural surroundings. Besides the UHI effect and heat waves, urbanization also impacts atmospheric moisture, wind, boundary layer structure, cloud formation, dispersion of air pollutants, precipitation, and storms. In this review article, we first introduce the datasets and methods used in studying urban areas and their impacts through both observation and modeling and then summarize the scientific insights on the impact of urbanization on various aspects of regional climate and extreme weather based on more than 500 studies. We also highlight the major research gaps and challenges in our understanding of the impacts of urbanization and provide our perspective and recommendations for future research priorities and directions.
2 Zhang, J.; Yang, Y. C. E.; Abeshu, G. W.; Li, H.; Hung, F.; Lin, C.-Y.; Leung, L. R.. 2024. Exploring the food-energy-water nexus in coupled natural-human systems under climate change with a fully integrated agent-based modeling framework. Journal of Hydrology, 634:131048. [doi: https://doi.org/10.1016/j.jhydrol.2024.131048]
(Location: IWMI HQ Call no: e-copy only Record No: PendingH052806)
(9.29 MB)
Managing water resources to meet increasing energy and food demands while maintaining environmental sustainability under climate change is a major challenge, especially when this nexus occurred in a coupled natural–human system (CNHS), where heterogeneous human activities affect the natural hydrologic cycle and vice versa. The relevant research has been limited by the lack of models that can effectively integrate human dynamics and hydrologic conditions with spatial details to examine co-evolutionary systems. To address this challenge, this paper develops a modeling framework that integrates an agent-based model (ABM; human behavior model) into a large-scale, process-based distributed hydrologic model to simulate human decisions endogenously in the hydrologic cycle. We then apply the Decision Scaling approach, an ex-post scenario analysis method, with our integrated model to study the bidirectional feedback of the CNHS under future changing climate conditions. With the Columbia River Basin (CRB) selected as the case study area, the calibration results show that the integrated model can simultaneously capture the historical irrigated water consumption and streamflow dynamics. Modeling results show that the trade-off between irrigated water consumption, hydropower generation, and streamflow will become more pronounced under hotter and wetter climate conditions at both the entire basin and regional (states and provinces) levels. Special attention should be given to “temperature thresholds” of different regions when the trade-off pattern started. The trade-off results can potentially inform the Columbia River Treaty renegotiation and provide insights for long-term water management policies.
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