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Those factors are estimated from readily available information, such as earthquake magnitude and hypocentral depth, time of the event, or they had to be compiled from generally more rare data on fault characteristics, regional surface morphology, antecedent rainfall or general climatic background of the affected region and the regional geology.
The latter depends on the thermal conductivities of the overlying formations (Table 1) and the regional surface heat flow.
The local isostatic consequences of this active faulting are instead superimposed onto this "background" of regional surface uplift.
Hence, in order to supplement rain-fed agriculture by irrigation, a detailed understanding of local and regional surface water and groundwater resources is important.
Wind erosion processes in the typical temperate Xilingele grassland of North China result in significant regional surface soil fine particle and carbon loss.
The accelerated warming of the Arctic climate may alter the local and regional surface energy balances, for which changing land surface temperatures (LSTs) are a key indicator.
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Such combined heat and head monitoring at field sites is useful for calibrating regional surface-groundwater models.
It was achieved through the recognition and correlation of regional surfaces that have allowed the subdivision of this unit into distinct depositional sequences, and the reconstruction of its depositional history.
The objective of this paper is to explore open source software and easy-to-implement approaches to mapping and estimation of land change that are transferrable to local institutions to increase capacity in the region, and to provide updated information on the regional land surface dynamics.
Using DGDMs data, various measures of the groundwater table (e.g., regional depths, surface areas, depletion cones, and conditions in irrigated regions including Ba, Quanshan, and Hu) were quantitatively analyzed and compared for the pre-CTSRB (2001 2006), CTSRB I (2006 2010), and CTSRB II (2010 2015) periods, for which spatial trends in the annual amplitudes of groundwater depth were compared.
T1 data were used for calculating brain regional volumes, surface area, cortical thickness and curvature.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com