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Radiometric measurements taken at a distance from evaporating bodies have been used for about 50 years to obtain a measure of water use. The basic physics of determining water use is the principle of energy conservation at the evaporating surface, but energy flux densities need to be parameterized using the variables which can be actually captured by radiometric measurements. Both observations of...
The meteorological drought, caused by a shortage of precipitation over a certain period, is the root of a causal chain in drought series in agriculture, ecology and hydrology. Different precipitation datasets produced inconsistent conclusions in the characteristics and trends of drought events. This study analyzed the characteristics and trends of meteorological drought over China using the standardized...
Global rainfall interception loss information is essential to understand the dynamics of the water cycle. And it remains large uncertainty in its global variation, since its ground observation are scattered. The development of satellite earth observation provides good opportunity for global rainfall interception loss estimation to reveal its spatiotemporal variation. In current study, an analytical...
Interception loss is an important component of the regional water balance for the Heihe River Basin which is an inland basin with limited precipitation. We used a modified Gash analytical model by combining remote sensing observations to estimate the interception loss of several vegetation types, e.g., grass, crop, forest and shrub for the years 2003–2012 in the Heihe River Basin. The estimated monthly...
The aim of this article is to discuss and compare four models: single index model, Fama French three-factor model, Carhart four-factor model and the Black-Litterman model in the context of twenty largest capitalization stocks listed on NASDAQ and NYSE. It was found that among the three factor models, the Carhart four-factor model produced the best fitness of data with the highest adjusted R2. When...
In China, there are thousands of dangerous dams with different deficiencies which are still posing serious threats to downstream public. Facing contradictions between limited resources and large number of dangerous dams to be reinforced, and the need to find out a proper method which can be applied to evaluate the severity of those dams is becoming more and more urgent. Since appraising the severity...
This paper studied several factors on reclaimed water disinfection through static experiments, and the factors included ammonia nitrogen, COD, total coliform, contact time and disinfectant dosage. The results showed ammonia nitrogen concentration and total coliform number were the main factors. Under the same disinfectant dosage, after 30 minutes reaction time, the total chlorine concentration in...
As the complexity of the process of technological innovation, there is no uniform standard on how to measure technological innovation at home and abroad. Evaluation of technological innovation, however, is an important management tool in the process of technological innovation. Therefore, the author introduces the Balanced Scorecard on the base of summarizing the research on technological innovations...
This paper uses fuzzy neural network method to establish simulation model about the evaluations of customers' beer tastes and preference degree. It explains the methods of building, training and simulating networks in the development environment of MATLAB software. And it does network training and error testing by the actual data to prove this model is feasible.
In order to represent fuzzy concept in water quality assessment, the Nemerow Pollution Index and Vague sets similarity measure formula were integrated together, consequently a new water quality comprehensive assessment model was formed. The new formed model can well express fuzzy concept in water quality assessment. Choosing water quality inspection data at Chengdu city's Fu Nan River as analysis...
A semantically meaningful image hierarchy can ease the human effort in organizing thousands and millions of pictures (e.g., personal albums), and help to improve performance of end tasks such as image annotation and classification. Previous work has focused on using either low-level image features or textual tags to build image hierarchies, resulting in limited success in their general usage. In this...
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