Regional evapotranspiration rate of oasis and surrounding desert     

Jihong Jia  Wenzhi Zhao  Shoubo Li 《水文研究》2013,27(24):3409-3414

The surface energy balance algorithm for land method was used in this study to calculate the evapotranspiration (ET) rate for the middle reaches of the Heihe River Basin, Gansu Province, China, to analyse ET distribution within the oasis and the surrounding desert and, especially, on the edge zone of the oasis. Five profile graphs were created vertical to the river. Because of the inverse humidity phenomenon, the least amount of evapotranspiration occurred on the desert close to the oasis. The average evapotranspiration rate was roughly proportioned from the edge of the oasis to inside and outside its boundary. Two meteorological ground stations located close to the oasis edge showed a notable difference in net radiation flux that led to the difference found in ET. The primary reason for the significant differences observed in net radiation may be largely the result of differences in flux reflectivity and surface temperature. Meteorological data show that water supply also played an important role. Copyright © 2012 John Wiley & Sons, Ltd.  相似文献   

Are artificial neural network techniques relevant for the estimation of longitudinal dispersion coefficient in rivers? / Les techniques de réseaux de neurones artificiels sont-elles pertinentes pour estimer le coefficient de dispersion longitudinale en rivières?     

《水文科学杂志》2013,58(1)

Abstract

Abstract Accurate application of the longitudinal dispersion model requires that specially designed experimental studies are performed in the river reach under consideration. Such studies are usually very expensive, so in order to quantify the longitudinal dispersion coefficient, as an alternative approach, various researchers have proposed numerous empirical formulae based on hydraulic and morphometric characteristics. The results are presented of the application of artificial neural networks as a parameter estimation technique. Five different cases were considered with the network trained for different arrangements of input nodes, such as channel depth, channel width, cross-sectionally averaged water velocity, shear velocity and sinuosity index. In the case where the sinuosity index is included as an input node, the results turned out to be better than those presented by other authors.  相似文献   

Neuro-fuzzy models employing wavelet analysis for suspended sediment concentration prediction in rivers     

Seyed Ahmad Mirbagheri  Taher Rajaee  Amir Alikhani 《水文科学杂志》2013,58(7):1175-1189

Abstract

The study of sediment load is important for its implications to the environment and water resources engineering. Four models were considered in the study of suspended sediment concentration prediction: artificial neural networks (ANNs), neuro-fuzzy model (NF), conjunction of wavelet analysis and neuro-fuzzy (WNF) model, and the conventional sediment rating curve (SRC) method. Using data from a US Geological Survey gauging station, the suspended sediment concentration predicted by the WNF model was in satisfactory agreement with the measured data. Also the proposed WNF model generated reasonable predictions for the extreme values. The cumulative suspended sediment load estimated by this model was much higher than that predicted by the other models, and is close to the observed data. However, in the current modelling, the ANN, NF and SRC models underestimated sediment load. The WNF model was successful in reproducing the hysteresis phenomenon, but the SRC method was not able to model this behaviour. In general, the results showed that the NF model performed better than the ANN and SRC models.

Citation Mirbagheri, S. A., Nourani, V., Rajaee, T. & Alikhani, A. (2010) Neuro-fuzzy models employing wavelet analysis for suspended sediment concentration prediction in rivers. Hydrol. Sci. J. 55(7), 1175–1189.  相似文献   

Modelling combined open channel flow by artificial neural networks     

Han‐Chung Yang  Fi‐John Chang 《水文研究》2005,19(18):3747-3762

Combined open channel flow is encountered in many hydraulic engineering structures and processes, such as irrigation ditches and wastewater treatment facilities. Extensive experimental studies have conducted to investigate combined flow characteristics. Nevertheless, there is no simple relationship that can fully describe the velocity profiles in a turbulent flow. The artificial neural network (ANN) has great computational capability for solving various complex problems, such as function approximation. The main objective of this study is to evaluate the applicability of the ANN for simulating velocity profiles, velocity contours and estimating the discharges accordingly. The velocity profiles measured by an acoustic doppler velocimeter in the open channel of the Chihtan purification plant, Taipei, with different discharges at fixed measuring section and different depths are presented. The total number of data sets is 640 and the data sets are split into two subsets, i.e. training and validation sets. The backpropagation algorithm is used to construct the neural network. The results demonstrate that the velocity profiles can be modelled by the ANN, and the ANN constructed can nicely fit the velocity profiles and can precisely predict the discharges for the conditions investigated. Copyright © 2005 John Wiley & Sons, Ltd.  相似文献   

矿物分类和识别的人工神经网络模型     

蔡煜东  宫家文 《矿物学报》1994,14(1):56-60

本文提出矿物分类和识别的人工神经网络模型，并选取一组标样－我国沉积碳酸盐型锰矿中菱锰矿作为研究对象，识别效率达１００％。结果表明，该模型性能良好，可望成为矿物识别的有效手段。  相似文献   

“绿洲”概念小议   总被引：17，自引：5，他引：17  

沈玉凌 《干旱区地理》1994,17(2):70-74

本文探讨了绿洲的概念，认为绿洲的内涵应扬４方面：（１）绿洲位于荒漠区；（２）水是绿洲存在的基础；（３）茂盛的植被是洲的主体景观；（４）地貌部及人类活动对绿洲发展与演变起着重要作用。  相似文献   

两次飞机增雨的非参数检验     

宋润田  刘力威 《气象》1993,19(5):16-19

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地形图等高线成组综合的试验   总被引：15，自引：0，他引：15  

费立凡 《武汉大学学报(信息科学版)》1993,(Z1)

本文在讨论制图自动综合一般问题的基础上,着重分析了两种等高线自动综合的技术路线存在的优缺点。笔者提出,采用模拟人类专家智能的方法,从二维的等高线输入数据出发,提取地貌结构信息,从而对等高线进行成组的综合,直接形成经综合的二维等高线输出数据,有可能获得较为简捷,效果良好的综合结果。在对这条技术路线进行实验的过程中所涉及的人工智能问题,主要包括:对无序数字化等高线数据的整理、等高线上重要特征点的识别、正负向地貌特征的确定、谷地点的选出、谷底线的自动跟踪、谷地重要性的计算、谷间距的自动量算、对称谷地的寻找、综合后图形的生成等。  相似文献   

塔里木盆地绿洲形成与演变   总被引：62，自引：3，他引：62  

樊自立 《地理学报》1993,48(5):421-427

塔里木盆地的绿洲按形成历史可划分为古绿洲、旧绿洲和新绿洲,它们分别代表绿洲发展演变的三个阶段。本文对绿洲未来演变趋势作了预测,探讨了盆地古绿洲衰亡原因、认为除了风沙、盐碱及河流改道等自然原因外,人类活动引起的地表水资源时空分配发生变化是主要原因。  相似文献   

矿岩界线的自动推连     

张正禄  金国胜  李清泉 《武汉大学学报(信息科学版)》1994,(3)

着重讨论了如何利用人工智能技术进行矿岩界线的自动推断和连接，包括对所研制的基于知识的矿岩界线自动推连系统（ＡＩＳＭＢ）的措述，关于数据与知识的表示和组织、推理过程、策略以及系统实现等内容。  相似文献