Title

Modeling Stream Flow Changes With The Aid Of Multisourced Remote Sensing Data In A Poorly Gauged Watershed

Abstract

The global water cycle is driven by a multiplicity of complex processes and interactions between and within the Earth’s atmosphere, lands, oceans, and biological systems over a wide range of space and time scales. Horizontally, the water cycle ranges from hill slopes and headwater streams, through river basins and regional aquifers, to the whole continent and the globe. Timewise, it involves the dynamic temporal variation of processes and responses ranging from minutes to hourly, daily, seasonal, and interannual swings of water fluxes and storages, to rare and episodic events. As the time and space scales change, new levels of complexity and interactions are introduced, and such multiscale nonlinearity can hardly be explained by simply upscaling or downscaling the data. Historically, hydrologic science has long relied on a spectrum of observations from the laboratory as well as field plots to test various hydrologic theories. Traditional responses to hydrologic variability focus on the statistical analysis of the regional hydrologic cycle with stationary assumptions. Many factors conspire against traditional hydrologic processes across space and time scales due to rapidly declining water resources and the nonstationarity of climate variations. Over the last two decades, our society has experienced global climate change, economic development and globalization, increased frequency of natural hazards, rapid urbanization, and population growth along with migration activities. Water science is becoming increasingly recognized as an important element of global environmental research.

Publication Date

1-1-2012

Publication Title

Multiscale Hydrologic Remote Sensing: Perspectives and Applications

Number of Pages

169-183

Document Type

Article; Book Chapter

Personal Identifier

scopus

DOI Link

https://doi.org/10.1201/b11279

Socpus ID

85055389833 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85055389833

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