822 research outputs found
Impact of remote sensing upon the planning, management, and development of water resources
A survey of the principal water resource users was conducted to determine the impact of new remote data streams on hydrologic computer models. The analysis of the responses and direct contact demonstrated that: (1) the majority of water resource effort of the type suitable to remote sensing inputs is conducted by major federal water resources agencies or through federally stimulated research, (2) the federal government develops most of the hydrologic models used in this effort; and (3) federal computer power is extensive. The computers, computer power, and hydrologic models in current use were determined
Impact of remote sensing upon the planning, management and development of water resources, appendix
Lists are presented of water resource agencies from the federal, state, Water Resources Research Institute, university, local, and private sectors. Information is provided on their water resource activities, computers, and models used. For Basic doc., see N75-25263
Impact of remote sensing upon the planning, management, and development of water resources
Principal water resources users were surveyed to determine the impact of remote data streams on hydrologic computer models. Analysis of responses demonstrated that: most water resources effort suitable to remote sensing inputs is conducted through federal agencies or through federally stimulated research; and, most hydrologic models suitable to remote sensing data are federally developed. Computer usage by major water resources users was analyzed to determine the trends of usage and costs for the principal hydrologic users/models. The laws and empirical relationships governing the growth of the data processing loads were described and applied to project the future data loads. Data loads for ERTS CCT image processing were computed and projected through the 1985 era
The application of remote sensing to the development and formulation of hydrologic planning models
For abstract, see N76-14576
Nuclear magnetic resonance measurements reveal the origin of the Debye process in monohydroxy alcohols
Monohydroxy alcohols show a structural relaxation and at longer time scales a
Debye-type dielectric peak. From spin-lattice relaxation experiments using
different nuclear probes an intermediate, slower-than-structural dynamics is
identified for n-butanol. Based on these findings and on diffusion
measurements, a model of self-restructuring, transient chains is proposed. The
model is demonstrated to explain consistently the so far puzzling observations
made for this class of hydrogen-bonded glass forming liquids.Comment: 4 pages, 4 figure
Network Power Fault Detection
Network power fault detection. At least one first network device is instructed to temporarily disconnect from a power supply path of a network, and at least one characteristic of the power supply path of the network is measured at a second network device connected to the network while the at least one first network device is temporarily disconnected from the network
First-principles design of nanomachines
Learning from nature's amazing molecular machines, globular proteins, we
present a framework for the predictive design of nano-machines. We show that
the crucial ingredients for a chain molecule to behave as a machine are its
inherent anisotropy and the coupling between the local Frenet coordinate
reference frames of nearby monomers. We demonstrate that, even in the absence
of heterogeneity, protein-like behavior is obtained for a simple chain molecule
made up of just thirty hard spheres. This chain spontaneously switches between
two distinct geometries, a single helix and a dual helix, merely due to thermal
fluctuations.Comment: 6 pages, 4 figures, +supporting information, to appear in PNA
The application of remote sensing to the development and formulation of hydrologic planning models
Regional hydrologic planning models built upon remote sensing capabilities and suited for ungaged watersheds are developed. The effectiveness of such models is determined along with which parameters impact most the minimization of errors associated with the prediction of peak flow events (floods). Emphasis is placed on peak flood prediction because of its significance to users for the purpose of planning, sizing, and designing waterworks
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