標(biāo)題: Titlebook: Advances in Water Resources & Hydraulic Engineering; Proceedings of 16th Changkuan Zhang,Hongwu Tang Conference proceedings 2009 Springer- [打印本頁(yè)] 作者: Gram114 時(shí)間: 2025-3-21 16:23
書目名稱Advances in Water Resources & Hydraulic Engineering影響因子(影響力)
書目名稱Advances in Water Resources & Hydraulic Engineering影響因子(影響力)學(xué)科排名
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書目名稱Advances in Water Resources & Hydraulic Engineering被引頻次
書目名稱Advances in Water Resources & Hydraulic Engineering被引頻次學(xué)科排名
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書目名稱Advances in Water Resources & Hydraulic Engineering讀者反饋
書目名稱Advances in Water Resources & Hydraulic Engineering讀者反饋學(xué)科排名
作者: Firefly 時(shí)間: 2025-3-21 23:54
Stochastic Modeling and Prediction of the Ganges Flowtic streamflow sequences are useful for analyzing reservoir operation and river basin management policies. In this study, the monthly discharge data of the Ganges have been modeled and predicted using the Thomas - Fiering model for the dependent stochastic component and by taking variable month-to-m作者: GRACE 時(shí)間: 2025-3-22 02:27
Distributed Water Balance Model in Watershed Coupling with River Dynamic flow Routing Methods with floodplains. Both the overland and the river flow are considered and the momentum exchange is taken into consideration. Cubic-spline interpolation technique is used to interpolate between the geographic data of the rivers’ cross-sections containing eleven pairs of X–Y points and to calculate 作者: 載貨清單 時(shí)間: 2025-3-22 05:22 作者: 津貼 時(shí)間: 2025-3-22 09:20 作者: –DOX 時(shí)間: 2025-3-22 15:54
Genetic Programming to Forecast Stream Flowt predicting stream flow at Rajghat in Narmada river basin of India using the technique of genetic programming (GP). The GP models are developed based on monsoon and non-monsoon seasons. The present paper describes 5 separate GP models, 4 for monsoon months and 1 for non-monsoon months for predictin作者: insular 時(shí)間: 2025-3-22 17:19
Constrained Scaling Approach for Design Rainfall Estimationgarding the scale-invariant behavior in hydrological processes. In this paper, the scale-invariant approach found its way in frequency analysis for design rainfall depth estimation. In practice, intersections among design rainfalls for different durations under a same return period often occurs, whi作者: 文藝 時(shí)間: 2025-3-22 22:41
Artificial Neural Network Technique for Raingauge Based Rainfall Nowcasingmands global climate, land, and sea data, thus, large computing power and storage capacity are required. Rainfall nowcasting’s computing requirement, on the other hand, is much less demanding. Rainfall nowcasting may use data captured by radar and/or weather stations. This paper presents the applica作者: 用手捏 時(shí)間: 2025-3-23 02:34 作者: Chipmunk 時(shí)間: 2025-3-23 07:38
Daily Flow Estimation at Ungauged Regions Based on Regional Flow Duration Curves regional flow duration curve must be generated using their relations to the underlying surface characteristics of watershed. In traditional procedures of rainfall-runoff model calibration, a fit of the observed flow hydrographs normally is selected as the objective function for the model parameter 作者: 值得 時(shí)間: 2025-3-23 12:53 作者: 畸形 時(shí)間: 2025-3-23 16:02 作者: SHOCK 時(shí)間: 2025-3-23 18:26 作者: ACME 時(shí)間: 2025-3-24 02:15
Application of Vic and A Routing Scheme to Pearl River Basin in South Chinaina. Meteorological data at 1 degree by 1 degree grids from 1951 to 2000 over the region are used to drive the model at a daily time step. The values of the parameters of soil and vegetation data for the model are extracted from two global datasets. A large-scale routing scheme for the VIC model is 作者: LIMIT 時(shí)間: 2025-3-24 04:31
Spatial Interpolation of Rainfall Based on DEMll by avoiding all secondary data weights to summing to zero while the unbiased estimation of this method is ensured. This technique is illustrated using monthly rainfall observations in Luan River basin. Cross validation is used to compare the prediction performance of MCK with Thiessen polygon, In作者: Trochlea 時(shí)間: 2025-3-24 06:38 作者: 行為 時(shí)間: 2025-3-24 14:13 作者: Hyperopia 時(shí)間: 2025-3-24 18:30 作者: 聚集 時(shí)間: 2025-3-24 19:30
Numerical Simulation of Flood Estimation for Gis-Based Local Inundation Maporea by using the depth averaged two-dimensional hydrodynamic numerical model. The numerical model employs the staggered grid system including moving boundary and a finite different method to solve the Saint-Venant equations. A second order upwind scheme is used to discretize the nonlinear convectio作者: Ige326 時(shí)間: 2025-3-25 02:52 作者: MAPLE 時(shí)間: 2025-3-25 05:41
the Asian-Pacific region."Advances in Water Resources and Hydraulic Engineering - Proceedings of 16th IAHR-APD Congress and 3rd Symposium of IAHR-ISHS" discusses some serious problems of sustainable development of human society related to water resources, disaster caused by flooding or draught, envi作者: 平常 時(shí)間: 2025-3-25 07:51
Once a Jacobin Always a Jacobin, on monsoon and non-monsoon seasons. The present paper describes 5 separate GP models, 4 for monsoon months and 1 for non-monsoon months for predicting stream flow at Rajghat 1 day in advance. The performance of the GP models especially at peaks is the point of interest along with general prediction accuracy of the models.作者: MURAL 時(shí)間: 2025-3-25 11:42 作者: 強(qiáng)壯 時(shí)間: 2025-3-25 18:01 作者: 形容詞詞尾 時(shí)間: 2025-3-25 22:41 作者: 畫布 時(shí)間: 2025-3-26 00:24
https://doi.org/10.1057/9781137074072onth correlation structures into account. The model can reproduce the periodicity of the monthly flows. The statistical parameters of observed and predicted data fit quite well and hence the predicted flow data may be used for future planning of water resources projects in Ganges dependent area in Bangladesh.作者: 植物學(xué) 時(shí)間: 2025-3-26 07:32
https://doi.org/10.1007/b138515applied to route the runoff from the upstream to the downstream of the Pearl River. The simulation results are compared with the observed streamflows, at monthly and annual scales, obtained from three streamflow gauge stations. It is observed that the model and routing scheme can give a reasonable simulation.作者: goodwill 時(shí)間: 2025-3-26 09:33
https://doi.org/10.1007/b138515verse square distance, OK and CK. Results show that smaller prediction errors are obtained by MCK that account for elevation as a secondary variable to interpolate monthly rainfall. Additionally, MCK could yield more accurate predictions than OK when the correlation coefficient between rainfall and elevation is more than 0.71 in the case study.作者: Catheter 時(shí)間: 2025-3-26 13:50
https://doi.org/10.1007/b138515ver basin extracted by using DEM by DigitalHydro software package. The model was applied to Shiguanhe river basin. The model was able to reproduce runoff volume and peak discharge with high efficiency.作者: 在前面 時(shí)間: 2025-3-26 18:34
Conference proceedings 2009ineering, which are especially important for developing countries all over the world...This proceedings serves as a reference for researchers in the field of water resources, water quality, water pollution and water ecology. Changkuan Zhang and Hongwu Tang both are professors at Hohai University, China..作者: Mangle 時(shí)間: 2025-3-26 21:46 作者: BUMP 時(shí)間: 2025-3-27 04:33
https://doi.org/10.1057/9781137074072 good and acceptable agreements with the observed ones. The diffusive model is suitable for the hill areas and the steep slopes while the dynamic model is suitable for the river flow with high water depths, the flat areas and the mild slopes. The lateral flow and roughness coefficient have significant effects on the simulated resultes.作者: 顯示 時(shí)間: 2025-3-27 05:20
,Posterity and Writing ‘for the Day’,ution of model parameters on total discharge. Bayesian updating within GLUE, and the spatial distribution of sensitivity indices were not covered, and can be the key to extend the analysis into fully distributed schemes.作者: 簡(jiǎn)略 時(shí)間: 2025-3-27 13:01 作者: 極大痛苦 時(shí)間: 2025-3-27 16:19 作者: photophobia 時(shí)間: 2025-3-27 21:33 作者: ATRIA 時(shí)間: 2025-3-28 01:01 作者: 觀點(diǎn) 時(shí)間: 2025-3-28 05:54 作者: 休息 時(shí)間: 2025-3-28 09:49 作者: 商品 時(shí)間: 2025-3-28 13:26 作者: ethereal 時(shí)間: 2025-3-28 16:18 作者: 妨礙 時(shí)間: 2025-3-28 19:50 作者: AUGER 時(shí)間: 2025-3-28 23:17 作者: 妨礙 時(shí)間: 2025-3-29 06:34 作者: 咒語(yǔ) 時(shí)間: 2025-3-29 07:47 作者: 闡明 時(shí)間: 2025-3-29 14:05 作者: GUMP 時(shí)間: 2025-3-29 17:27
https://doi.org/10.1007/b138515r and standard deviation on the precipitation and discharge forecast. The result has shown that the precipitation forecast is more uncertain than discharge’s. Uncertainty is significantly increased after twelve hour and draws a common characteristic between both models.作者: Cultivate 時(shí)間: 2025-3-29 23:41 作者: MELON 時(shí)間: 2025-3-30 01:42 作者: 確認(rèn) 時(shí)間: 2025-3-30 07:36
https://doi.org/10.1057/9781137074072tic streamflow sequences are useful for analyzing reservoir operation and river basin management policies. In this study, the monthly discharge data of the Ganges have been modeled and predicted using the Thomas - Fiering model for the dependent stochastic component and by taking variable month-to-m作者: 食道 時(shí)間: 2025-3-30 08:45 作者: STALL 時(shí)間: 2025-3-30 15:55
,Posterity and Writing ‘for the Day’,, of deriving the TUHs are prone to produce a saw-tooth TUH, because of the mistaken data, or/and simplification of the hydrological process (to be linear) of the river basin. This paper applies a so-called Goal Attainment (GA) method to obtain an optimal TUH. The GA method is a multi-objective opti作者: 熱情贊揚(yáng) 時(shí)間: 2025-3-30 18:11
,Posterity and Writing ‘for the Day’,nique (GLUE) and the variance based Sobol’ technique. The former assess the likelihood of a model to describe a system recognizing that model and data are subject to uncertainty; the latter statistically evaluates the uncertainty in the estimation of model parameter values. Both are commonly used in作者: 變色龍 時(shí)間: 2025-3-30 21:39 作者: LARK 時(shí)間: 2025-3-31 01:13 作者: 好色 時(shí)間: 2025-3-31 06:11 作者: instill 時(shí)間: 2025-3-31 11:29
https://doi.org/10.1007/978-1-4471-3985-0d the underlying surface characteristics of the thirteen catchments in Dongjiang basin. The flow duration curve for the each catchment is obtained by the traditional method, and, then the flows of various exceedance percentages Q. are calculated. Based on the relationship between the flow of various作者: integral 時(shí)間: 2025-3-31 15:35 作者: CALL 時(shí)間: 2025-3-31 21:34
https://doi.org/10.1007/b138515genetic algorithm to solve the disadvantage of the standard genetic algorithm’s inaccuracy of coding and low-precision. The improved genetic algorithm gets better results in calibration of the three-source XinAnJiang model. Contraposing the shortage of traditional single objective optimization, this作者: 反復(fù)無(wú)常 時(shí)間: 2025-3-31 22:23 作者: 好色 時(shí)間: 2025-4-1 04:54 作者: alcohol-abuse 時(shí)間: 2025-4-1 09:53
https://doi.org/10.1007/b138515ina. Meteorological data at 1 degree by 1 degree grids from 1951 to 2000 over the region are used to drive the model at a daily time step. The values of the parameters of soil and vegetation data for the model are extracted from two global datasets. A large-scale routing scheme for the VIC model is 作者: FLAGR 時(shí)間: 2025-4-1 12:31
https://doi.org/10.1007/b138515ll by avoiding all secondary data weights to summing to zero while the unbiased estimation of this method is ensured. This technique is illustrated using monthly rainfall observations in Luan River basin. Cross validation is used to compare the prediction performance of MCK with Thiessen polygon, In作者: 牢騷 時(shí)間: 2025-4-1 17:19
https://doi.org/10.1007/b138515o a raster system for representing the spatial variability of soil, vegetation and rainfall, etc. In each grid, hydrological processes such as interception, infiltration and overland flow were considered. Runoff generated in each grid was routed by a kinematic wave method according to the digital ri作者: 無(wú)價(jià)值 時(shí)間: 2025-4-1 20:13
https://doi.org/10.1007/b138515fects accuracy of flood prediction, added to that is which possessed in the rainfall-runoff model. The case is in Shichikashuku Dam basin in Japan. The precipitation forecast is a product of short range forecast of Japan operational numerical weather prediction based on Mesoscale Model (MSM) and Reg