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On the other hand, non-eruptive hydrothermal unrest can also lead to volcanic hazards after prolonged gas emission, acidic fluid infiltration into aquifers, soils and the hydrologic network, or deformation induced by a rising fluid front (i.e., bradyseismicity).
A combined remote sensing (optical and radar imagery) and GIS (hydrologic network delineation) analysis allows mapping of the Kufrah Paleoriver of Libya and sheds light on its geomorphic evolution during the Neogene.
Quantitative information was extracted from the three vectorial geographical features (populated places: points; transportation network: polylines; and hydrologic network: polygons), by calculating the minimum distance from the focal cell to each of these features.
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Despite their encouraging outcomes, it is important to recognize that most of the above studies have addressed only the spatial connections in hydrologic networks.
Such analyses also ideally lead to the design and implementation of long-term hydrologic networks to monitor projected outcomes of the ground water development and to improve the ability to predict future system responses.
These patterns reveal differences in which some subglacial systems likely transition seasonally from inefficient, distributed hydrologic networks to efficient, channelized drainage, while others do not.
Some of these lakes are connected by streams in an entire unseen hydrologic plumbing network, a system that may affect the stability of the ice sheets.
They are organized into drainage networks, and hydrologic connectivity of the drainage network is important to maintaining the biological integrity of a stream.
The results of analyses show that there is considerable retention volume available which could be used either to improve hydrologic conditions in stream network or for agricultural use consisting mainly in irrigations.
Overall, superiority of the present approach especially for a longer (6-h) lead time prediction is revealed through a systematic comparison among three individual methods (i.e., the physically based hydrologic model, artificial neural network, and support vector machine) as well as their two hybrid combinations.
It can therefore be used to express the hydrologic response of the stream network to an instantaneous rainfall (Mesa and Mifflin 1986).
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