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A GIS numerical framework to study the process basis of scaling statistics in river networks 总被引：1，自引：0，他引：1
A new geographic information system (GIS) numerical framework (NF), called CUENCAS, for flows in river networks is presented. The networks are extracted from digital elevation models (DEMs). The program automatically partitions a basin into hillslopes and channel links that are required to correspond to these features in an actual terrain. To investigate the appropriate DEM resolution for this correspondence, we take a high-resolution DEM at 10-m pixel size, and create DEMs at eight different resolutions in increments of 10 m by averaging. The extracted networks from 10-30 m remain about the same, even though there is a tenfold reduction in the number of pixels. By contrast, the extracted networks show increasing distortions of the original network from 40-90 m DEMs. We show the presence of statistical self-similarity (scaling) in the probability distributions of drainage areas in a Horton-Strahler framework using CUENCAS. The NF for flows takes advantage of the hillslope-link decomposition of an actual terrain and specifies mass and momentum balance equations and physical parameterizations at this scale. These equations are numerically solved. An application of NF is given to test different physical assumptions that produce statistical self-similarity in spatial peak flow statistics in a Horton-Strahler framework. 相似文献
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C. Pérez-Sirvent M.J. Martínez-Sánchez M.L. García-Lorenzo J. Molina M.L. Tudela W. Mantilla J. Bech 《Journal of Geochemical Exploration》2010
The objective of this study was to determine the selenium content in soils from the Region of Murcia (SE, Spain) and to study the possible relationship between mineralogical composition, soil properties and selenium content. In addition, generic reference level (GRL) for selenium was determined according to Spanish legislation. For this study, 490 samples were selected in areas subjected to agricultural activity or abandoned agricultural soils with natural vegetation. Five different zones were established in order to study selenium variability. Four different mineralogical groups were established, based on significant relationship with the mineralogical composition, and each sample was included in one mineralogical group. The results showed that the concentration of selenium is correlated with the electrical conductivity, sulphate content and with the mineralogical composition, particularly positively with quartz and in a negative way with calcite percentage. In addition, selenium level was positively correlated with the phyllosilicate content. Established GRL for selenium varies with the mineralogical group, having a great transcendence from the legal and economic points of view. 相似文献
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Sayantan Bhowmik Cesar A. Mantilla Sanjay Srinivasan 《Stochastic Environmental Research and Risk Assessment (SERRA)》2011,25(8):1085-1090
Tracking the migration of the CO2 plume is essential in order to better manage the operation of geologic sequestration of CO2. However, the large cost of most monitoring technologies, such as time-lapse seismic, limits their application. We investigated
the application of a probabilistic history matching methodology using routine measurements of injection data, which are affected
by the presence of large-scale heterogeneities, as an inexpensive alternative to track the migration of CO2 plume in an aquifer. The approach is demonstrated first through a synthetic example in which the ability to detect the presence
of flow barriers was tested. In a second example, we applied our method to the In Salah field, one of the largest geological
sequestration projects in the world, where the main direction of high permeability features was inferred. The accuracy and
reproducibility of the results show that our approach for assisted history matching is an economic and viable option for plume
monitoring during geologic CO2 sequestration. 相似文献
4.
Nuria Castell Ariel F. Stein Enrique Mantilla Rosa Salvador Millán Millán 《Journal of Atmospheric Chemistry》2009,63(1):73-91
Understanding the chemical links between ozone (O3) and its two main precursors, nitrogen oxides (NOx) and volatile organic compounds (VOC), is important for designing effective
photochemical smog reduction strategies. This chemical relationship will determine which precursor (NOx or VOC) emission reduction
will be more effective for decreasing the ozone formation. Under certain conditions, ozone levels decrease as a result of
a reduction in NOx emissions but do not respond significantly to changes in VOC emissions (NOx-sensitive condition), while
under other conditions ozone concentrations decrease in response to reductions in VOCs and may even increase when NOx emissions
are reduced (VOC-sensitive conditions). Indicator species can be used to assess the sensitivity of ozone to changes in the
emissions of its precursors. These indicators are species or species ratios involved in ozone photochemistry which reflect
the primary chemical process through which the ozone was formed. In this work we use the MM5-CAMx model system to explore
the behaviour of various indicator species during two meteorological situations featuring different atmospheric conditions
in a complex terrain area. The results show that indicators based on nitrogen compounds (i.e,. NOy and NOz) are suitable for
defining the transition range from VOC- to NOx-sensitive chemistry, and that despite the uncertainties associated with the
use of chemical indicators, the ratios O3/NOy and O3/NOz may provide a simple and useful way to summarize the response of ozone to changes in NOx and VOC emissions in Southwestern
Spain. 相似文献
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Jorge Rosas Oliver Lopez Thomas M. Missimer Kapo M. Coulibaly Abdullah H.A. Dehwah Kathryn Sesler Luis R. Lujan David Mantilla 《Ground water》2014,52(3):399-413
Over 400 unlithified sediment samples were collected from four different depositional environments in global locations and the grain‐size distribution, porosity, and hydraulic conductivity were measured using standard methods. The measured hydraulic conductivity values were then compared to values calculated using 20 different empirical equations (e.g., Hazen, Carman‐Kozeny) commonly used to estimate hydraulic conductivity from grain‐size distribution. It was found that most of the hydraulic conductivity values estimated from the empirical equations correlated very poorly to the measured hydraulic conductivity values with errors ranging to over 500%. To improve the empirical estimation methodology, the samples were grouped by depositional environment and subdivided into subgroups based on lithology and mud percentage. The empirical methods were then analyzed to assess which methods best estimated the measured values. Modifications of the empirical equations, including changes to special coefficients and addition of offsets, were made to produce modified equations that considerably improve the hydraulic conductivity estimates from grain size data for beach, dune, offshore marine, and river sediments. Estimated hydraulic conductivity errors were reduced to 6 to 7.1 m/day for the beach subgroups, 3.4 to 7.1 m/day for dune subgroups, and 2.2 to 11 m/day for offshore sediments subgroups. Improvements were made for river environments, but still produced high errors between 13 and 23 m/day. 相似文献
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Pradeep V. Mandapaka Witold F. Krajewski Ricardo Mantilla Vijay K. Gupta 《Advances in water resources》2009
This study examines the role of rainfall variability on the spatial scaling structure of peak flows using the Whitewater River basin in Kansas as an illustration. Specifically, we investigate the effect of rainfall on the scatter, the scale break and the power law (peak flows vs. upstream areas) regression exponent. We illustrate why considering individual hydrographs at the outlet of a basin can lead to misleading interpretations of the effects of rainfall variability. We begin with the simple scenario of a basin receiving spatially uniform rainfall of varying intensities and durations and subsequently investigate the role of storm advection velocity, storm variability characterized by variance, spatial correlation and intermittency. Finally, we use a realistic space–time rainfall field obtained from a popular rainfall model that combines the aforementioned features. For each of these scenarios, we employ a recent formulation of flow velocity for a network of channels, assume idealized conditions of runoff generation and flow dynamics and calculate peak flow scaling exponents, which are then compared to the scaling exponent of the width function maxima. Our results show that the peak flow scaling exponent is always larger than the width function scaling exponent. The simulation scenarios are used to identify the smaller scale basins, whose response is dominated by the rainfall variability and the larger scale basins, which are driven by rainfall volume, river network aggregation and flow dynamics. The rainfall variability has a greater impact on peak flows at smaller scales. The effect of rainfall variability is reduced for larger scale basins as the river network aggregates and smoothes out the storm variability. The results obtained from simple scenarios are used to make rigorous interpretations of the peak flow scaling structure that is obtained from rainfall generated with the space–time rainfall model and realistic rainfall fields derived from NEXRAD radar data. 相似文献
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