排序方式： 共有13条查询结果，搜索用时 78 毫秒
11.
12.
Alexander Yakirevich Avraham Dody Eilon M. Adar Viacheslav Borisov Mebus Geyh 《Hydrogeology Journal》1998,6(1):50-65
Temporal distributions of the isotopic composition in arid rain storms and in the associated runoff were investigated in
a small arid rocky basin in Israel. Customized rain and runoff samplers provided sequential water samples hermetically sealed
in high-density PVC bags. In several storms where the runoff was isotopically depleted, compared with the rainfall, the difference
could not be explained by fractionation effects occurring during overland flow. A water-balance study relating the runoff
discharge to rainfall over a rocky watershed showed that the entire discharge is produced by a very small segment (1–2 mm)
of the rain storm. The major objective, therefore, was to provide quantitative relations between segments of rainfall (rain
showers and rain spells) and runoff. The time distribution of the composition of stable isotopes (oxygen and hydrogen) was
used to quantify the correlation between the rain spell's amount and the consequent runoff. The aim of this work was to (a)
utilize the dynamic variations in the isotopic composition in rainfall and runoff and model the magnitude of surface-storage
capacity associated with runoff processes of overland flow, and (b) characterize the isotopic composition of the percolating
water with respect to the isotopic distribution in rainfall and runoff events. The conceptual model postulates an isotopic
mixing of overland flow with water within the depression storage. A transport model was then formulated in order to estimate
the physical watershed parameters that control the development of overland flow from a certain rainfall period. Part I (this
paper) presents the results and the assessment of the relative depression storage obtained from oxygen-18 and deuterium analyses
that lead to the physical and mathematical formulation of a double-component model of kinematic-wave flow and transport, which
is presented in Part II (accompanying paper).
Received, February 1997 · Revised, September 1997 · Accepted, September 1997 相似文献
13.
Predicting gully initiation at catchment scale was done previously by integrating a geographical information system (GIS) with physically based models, statistical procedures or with knowledge‐based expert systems. However, the reliability and validity of applying these procedures are still questionable. In this work, a data mining (DM) procedure based on decision trees was applied to identify areas of gully initiation risk. Performance was compared with the analytic hierarchy process (AHP) expert system and with the commonly used topographic threshold (TT) technique. A spatial database was used to test the models, composed of a target variable (presence or absence of initial points) and ten independent environmental, climatic and human‐induced variables. The following findings emerged: using the same input layers, DM provided better predictive ability of gully initiation points than the application of both AHP and TT. The main difference between DM and TT was the very high overestimation inherent in TT. In addition, the minimum slope observed for soil detachment was 2°, whereas in other studies it is 3°. This could be explained by soil resistance, which is substantially lower in agricultural fields, while most studies test unploughed soil. Finally, rainfall intensity events >62.2 mm h‐1 (for a period of 30 min) were found to have a significant effect on gully initiation. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献