首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于熵权的属性识别模型在海水入侵现状评价中的应用
引用本文:李淼,夏军,李福林,孟德娟.基于熵权的属性识别模型在海水入侵现状评价中的应用[J].地理科学进展,2012,31(3):324-329.
作者姓名:李淼  夏军  李福林  孟德娟
作者单位:1. 中国科学院陆地水循环及地表过程重点实验室地理科学与资源研究所,北京100101/中国科学院研究生院,北京100049
2. 中国科学院陆地水循环及地表过程重点实验室地理科学与资源研究所,北京100101/武汉大学水资源与水电工程科学国家重点实验室,武汉430072
3. 山东省水利科学研究院,济南,250013
基金项目:中国科学院对外合作重点项目计划项目,国家重点基础研究973项目
摘    要:针对海水入侵现状评价中单指标(Cl-或矿化度)评价方法的片面性和不确定性等问题,本文将熵值理论和属性识别模型相结合,建立了熵权属性识别模型,并将其应用于滨海地区海水入侵现状评价中。以潍北平原8个海水入侵实测点为应用实例进行研究。结果表明,潍北平原大部分地区海水入侵属于轻度侵染,水质为微咸水,东部地区(6、8号点位)在5月份海水入侵属于较严重侵染,但在11月份侵染程度减缓,可能的原因是气候因素(降水增加、海平面上升)以及人为因素(地下水抽水量减少)等共同影响的结果。同时,5月及11月各个测点海水入侵侵染排序略有差异,但是差异较小。通过实例证明,该方法通俗易懂,计算方法简洁明了,便于掌握和应用,为海水入侵现状评价提供了一种可行有效的方法。

关 键 词:属性识别模型  熵权  海水入侵  评价  潍北平原

The Application of Attribute Recognition Model Based on Coefficient of Entropy to the Assessment of Seawater Intrusion
LI Miao,XIA Jun,LI Fulin,MENG Dejuan.The Application of Attribute Recognition Model Based on Coefficient of Entropy to the Assessment of Seawater Intrusion[J].Progress in Geography,2012,31(3):324-329.
Authors:LI Miao  XIA Jun  LI Fulin  MENG Dejuan
Institution:1,2(1.Key Laboratory of Water Cycle & Related Land Surface Processes,Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China;2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China;3.State Key Laboratory of Water Resources and Hydropower Engineering Sciences,Wuhan University,Wuhan 430072,China;4.Water Conservancy Research Institute of Shandong Province,Jinan 250013,China)
Abstract:In this study,to solve the question of the one-sidedness and uncertainties when taking an assessment of seawater intrusion by using a single index(such as Cl-or mineralization),an attribute recognition model based on coefficient of entropy theory was built to take an assessment of seawater intrusion in coastal areas,and take a sample application of eight measured wells for seawater intrusion in plain north of Weifang.It is found that the intrusion was mild in most parts of plain north of Weifang where the water quality is brackish water,and more serious intrusion occurred in May,and changed back to mild intrusion in November in the eastern part of the study area(locations No.6 and No.8).There are two possible reasons responsible for this change.The first one is natural factors which include precipitation increases and sea level falls from May to November.The second reason is human activities mainly due to the reduction of groundwater pumping.Meanwhile,there are small differences in the rank of eight measurement wells for seawater intrusion in May and November.The sample application shows that this model is easy to understand and master,and that it provides a feasible and effective method for the assessment of seawater intrusion.
Keywords:attribute recognition model  weight coefficient by entropy  seawater intrusion  assessment  plain north of Weifang City
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《地理科学进展》浏览原始摘要信息
点击此处可从《地理科学进展》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号