This method has been successfully applied in many countries. The discussion relationship of the method is based on the assumption following [4]. By substituting Pa-Q for F and solving for Q one obtains. The relationship of runoff to rainfall in the curve number is better shown in graphical form, and CN can be estimated from the table based on the Land use and Hydrologic Soil Group. A flowchart of the finite element one-dimensional kinematic wave rainfall-runoff model is illustrated in Fig.
The drainage area of the river basin at Son Giang station is approximately km2; the average elevation of the river. The hydro-meteorological stations on the Tra Khuc River are summarized in Table 1. The river basin is divided into the 9 sub-catchments, according to 9 river reaches that describe the flow concentration process of the entire the river basin. Each river reach is then divided into sub-reaches river elements.
For each river element, the surface catchment basin is divided into "strips" in the cross-flow. Each strip is then divided into computational elements based on the characteristics of the catchments so that the slope of each element is approximately homogeneous.
The scheme for approximating the Tra Khuc River by elements is illustrated in Fig. The entire Tra Khuc River Basin is approximated by 39 strips 39 river elements with '50 river basin elements. A number of sub-catchments, strips and elements are summarized in Table 2. The characteristics of the elements are estimated from the topographic map Fig.
The river elements are characterized by the slope, length and width of the channel. The surface elements are defined by the average slope, length and average width of the elements Fig. The curve number for the median antecedent moisture condition AMC II for each element is determined from soil and land-use maps with the assistance of GIS tools.
The hourly rainfall data were collected at only two stations, namely, Gia Vuc and Son Giang, during the storm in ' The discharge data were recorded at the Son Giang station in ' The Manning coefficients of the river channel are determined in the range of 0.
For surface area, the Manning coefficient is estimated based on the land use types [11]. An example of input data for surface elements of a strip containing 6 elements is shown in Table 3. Analysis of the preliminary research results shows that the model can well simulate the concentration process of river flow. The error of volume flow of this storm is 6. The results of the simulations for the two storms show that the error of volume flow is negligible for both storms.
However, the proposed method has a drawback in peak flow simulation. The reason for this limitation may result from a lack of rainfall data and river cross-section data in the study area. The results of the simulation will be improved if more sources of data field survey or remote sensing data can be used. A simplified distributed rainfall-runoff model was developed. The model was based on application of the SCS method for estimating excess rainfall, and a one-dimensional kinematic wave equation was applied for simulating the overland and river flow routing processes.
The finite element algorithm is based on lumped schemes, and the third order Runge—Kutta method was presented to solve the one-dimensional kinematic wave equations. The algorithm was stable without numerical oscillations. The results of the study showed a promising applicability of this method for hydrologic modelling. The proposed model allows extending the range of application of the model to some designed works, such as flood estimation for small hydropower stations, drainage river basins, cases in which the flow data records are limited, flood warning and assessment of the hydro-logic impact of land-use change studies.
This research was supported by a grant No. Abbott, J. Bathurst, J. Cunge, P. O'Connel, J. Baxter, Vieux, et al. Water Resour. Blandford, M. Cundy T. The figure also reports the hydrograph corresponding to an impervious hillslope eq.
Academie des Sciences [Paris] Comptes , 73, , Foster G. Soil Erosion Res. Giraldez J. Water Resou. Green W.
Henderson F. Horton R. AGU, 14th Ann. Mtg, Izzard C. The rela- Flood movement in long rivers, Proc. London, tionship showing the position, xzw, at which, for different L values, ze- Ser. A , , Liu J.
Luce C. Re- List of simbols sour. Mizumura K. Eng, ASCE , , Processes , 10, Ks saturated hydraulic conductivity [L T-1] Robinson J. The infiltration process is de- the non-linear storage model scribed by the Green-Ampt model. Related Papers. By Giorgio Baiamonte and Vijay P. A review of Modeling coupled surface subsurface flow processess.
By Liang Zhao. The role of soil-surface sealing, microtopography, and vegetation patches in rainfall-runoff processes in semiarid areas. By Shmuel Assouline. Development and testing of a simple physically-based distributed rainfall-runoff model for storm runoff simulation in humid forested basins.
Enter the email address you signed up with and we'll email you a reset link. Need an account? Click here to sign up.
Download Free PDF. The effect of moving storm acceleration on runoff hydrographs. Jorge Isidoro. A short summary of this paper. Geophysical Research Abstracts Vol.
0コメント