globalchange  > 全球变化的国际研究计划
DOI: 10.1016/j.gloplacha.2015.09.013
论文题名:
Inferring anthropogenic trends from satellite data for water-sustainability of US cities near artificial reservoirs
作者: Yigzaw W.; Hossain F.
刊名: Global and Planetary Change
ISSN: 0921-8181
出版年: 2015
卷: 133
起始页码: 330
结束页码: 345
语种: 英语
英文关键词: Artificial reservoirs ; Cities ; Land use land cover ; Satellite data ; Sustainability ; Water supply and demand
Scopus关键词: Atmospheric temperature ; Climate change ; Climate models ; Dams ; Economics ; Image reconstruction ; Information management ; Land use ; Precipitation (meteorology) ; Radiometers ; Rain ; Rain gages ; Reservoirs (water) ; Rivers ; Satellite imagery ; Satellites ; Stream flow ; Sustainable development ; Vegetation ; Water conservation ; Water management ; Water supply ; Watersheds ; Artificial reservoirs ; Cities ; Land use/ land covers ; Satellite data ; Water supply and demands ; Water resources ; anthropogenic effect ; human activity ; hydrological cycle ; MODIS ; NDVI ; precipitation (climatology) ; reservoir ; satellite data ; streamflow ; sustainability ; urbanization ; water availability ; water management ; water supply ; United States
英文摘要: Anthropogenic activities affect the water cycle and water supply at global and regional spatial scales, and approaches to water management must consider anthropogenic inputs. One of the major inputs in local-to-regional availability of water and the water cycle is land use land cover change as a result of urbanization, artificial reservoirs, and irrigation activity. To understand evolving trends in local hydrologic cycle for water sustainability of growing cities, this study employed a multi-factorial approach involving population trends, water use (and demand), streamflow, and various satellite-derived water-relevant variables. These variables are daily precipitation (from Tropical Rainfall Measuring Mission-TRMM, 3B42.V7), Normalized Difference Vegetation Index (NDVI) (from Moderate Resolution Imaging Spectroradiometer-MODIS-MOD13A1), land surface temperature (LST) (from MODIS-MOD11A2), and land cover (MODIS-MCD12Q1). Long term trends in such data were used to understand temporal and spatial trends in impounded watersheds hosting a large and growing city. The cities studied for water sustainability were Atlanta, Georgia and Buford dam; Columbia, South Carolina and Saluda dam; Columbus, Ohio and Alum Creek dam; Montgomery, Alabama and Jordan dam; Tulsa, Oklahoma and Keystone dam; and Tuscaloosa, Alabama and Tuscaloosa dam. Our study reveals that daily mean stream flow has been decreasing in all but one (Tulsa) of the areas selected. Satellite data trends between 2000 and 2012 showed a steady decrease in precipitation and NDVI, while LST has gradually increased. We attribute the NDVI (i.e., gradual decrease in vegetation cover) to LST rather than precipitation trends. The results of this research suggest that future temperature projections from climate models can be used in understanding vegetation activity and water availability over the study areas. Cities with larger upstream watershed area are potentially more sustainable and resilient (than those with small watersheds) as a result of spatial variability of water resources' response to climate change. Inter-basin water resources transfer is a possible solution to vulnerable cities in the future. The study results also emphasize the need to establish a sustainable and resilient water resources management system that includes narrowing the information and perception gap between the engineering community and the general public. © 2015 Elsevier B.V.
URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84943242553&doi=10.1016%2fj.gloplacha.2015.09.013&partnerID=40&md5=b49f51c3f37a85fc7131cb66ae084b27
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/11476
Appears in Collections:全球变化的国际研究计划
气候变化与战略

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作者单位: Department of Civil and Environmental Engineering, Tennessee Technological University, Cookeville, TN, United States

Recommended Citation:
Yigzaw W.,Hossain F.. Inferring anthropogenic trends from satellite data for water-sustainability of US cities near artificial reservoirs[J]. Global and Planetary Change,2015-01-01,133.
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