karst basin meaning in Chinese
喀斯特盆地
岩溶盆地
Examples
- In view of the factors of inflection of the low flow in karst basins , sixteen factors about antcedent precipitation and characteristics of the chosen karst basins , are quantified . and the correlation of low flow and the factors is worked out
论文从影响喀斯特流域枯水径流的各影响因子入手，通过对入选流域的枯季前期降水量及其下垫面特征等16个因子的量化，从量上探求喀斯特流域的枯水径流各特征值与影响因子之间的相关规律。 - Based on the four principal components , the 18 chosen karst basins are classified into three types by the technique of som ( self - organizing map ) . the laws of correlation of unclassified karst basins and classified karst basins are compared . as a result , the grades of the correlation between factors and low flow are higher than those of the formers
为了使样本具有代表性，论文利用自组织特征映射网络( som )可以在无教师示教的情况下，实现对输入模式的自组织分类的特点，以18个流域的主成分数据变量作为网络输入，在som ( self - organizingmap )网络中进行了分类，把18个喀斯特流域分成三大类。 - This article is based on statistic and analysis of the long - term observation data of the groundwater in the karst basin from 1987 to 2005 and systematically discusses the water level of karst groundwater , the pumping volume and the carved distribution regulation because of over - pumping water and puts forward some specific measures to reasonably development and utilization of groundwater resources
摘要通过覆盖型盆地岩溶盆地中取水深井1987年2005年盆地地下水长观资料统计分析，系统探讨了宕溶地下水的水位、取水量以及抽水产生的塌陷分布规律，提出了合理开发利用地下水资源的具体措施。 - The factors include antecedent precipitation of low flow period and status of karst basins ( such as lithology , landform , drainage area , drainage density , length and ratio of demotion of main river and so on . ) . based on the former studies , integrated the conventional statistic methods , the technique of anns is applied in this paper for researching the law of the low flow of karst basins in guizhou altiplano
影响喀斯特流域枯水径流的因素异常复杂，其影响因素主要有枯季前期降水量和岩性、地貌、流域面积、河网密度、主河道长度及其比降等流域下垫面状况。本文在前人研究的基础上，采用人工神经网络技术，结合传统的统计方法，研究贵州高原上喀斯特流域的枯水径流规律。 - It has been used in many fields such as machinery industry , electronic industry , power industry , hydraulic engineering , chemical industry , agriculture , environment , economy and so on . this paper focuses on application of anns in the study of the karst basin and its low flow
人工神经网络是一门正在迅速发展的交叉科学，现已广泛应用于机械工业、电子工业、能源工业、水利工程、化学工业、农业、环境和经济学等学科。本文主要讨论人工神经网络在喀斯特流域及其枯水径流研究中的应用。