摘要
水资源生态评价是水生态文明建设的重要基础.以郑州都市圈为研究对象,运用“驱动力—状态—响应”模型构建指标体系,结合主成分分析和BP神经网络进行水资源生态评价的实证研究.结果表明,2010—2019年郑州、漯河与许昌的水资源生态评价水平较高,平顶山、洛阳和焦作次之,而新乡和开封的水资源生态评价水平不高;区域内水资源生态评价值总体趋势上是增长的,区位上中南部高北部低并呈现出显著的“地域分异”;以驱动力因素为输出值,其实际值与预测值整体上拟合效果尚可,尤其是年末总人口、城镇化率和人均GDP的拟合效果较好.
The ecological evaluation of water resources is an important basis for the construction of water ecological civilization.This study takes Zhengzhou metropolitan area as an example,uses the“Driving-force State Response”model to construct the index system,and carries out the empirical research on the ecological evaluation of water resources by combining the principal component analysis method and BP neural network method.The results show that:during the study period(2010-2019),the development level of water resources ecological assessment in Zhengzhou,Luohe and Xuchang is high,followed by Pingdingshan,Luoyang and Jiaozuo,then Xinxiang and Kaifeng are not high;the overall trend of the ecological evaluation value of water resources in the region is increasing,the location is higher in the middle and south,lower in the north,and showing significant“regional differentiation”;taking the driving-force factor as the output value,the fitting effect between the actual value and the predicted value is acceptable on the whole,especially the fitting effect of the total population,urbanization rate and per capita GDP at the end of the year.
作者
翟慧敏
张鑫仕
程启先
王茂荣
马雪瑶
ZHAI Huimin;ZHANG Xinshi;CHENG Qixian;WANG Maorong;MA Xueyao(School of Geographic Sciences,Xinyang Normal University,Xinyang 464000,China;Henan Key Technology Engineering Research Center of Microwave Remote Sensing and Resource Environment Monitoring,Xinyang 464000,China;School of Computer and Information Technology,Xinyang Normal University,Xinyang 464000,China)
出处
《湖南理工学院学报（自然科学版）》
CAS
2023年第2期38-45,共8页
Journal of Hunan Institute of Science and Technology(Natural Sciences)
基金
国家自然科学基金项目(41701187)
河南省高校科技创新团队支持计划(22IRTSTHN010)
河南省高等学校重点科研项目(22A170018)
信阳师范学院研究生科研创新基金项目(2022KYJJ018)
信阳师范学院大学生科研基金项目(2022DXS111)。
关键词
水资源生态评价
主成分分析
BP神经网络
郑州都市圈
ecological evaluation of water resources
principal component analysis
BP neural network
Zhengzhou metropolitan area
作者简介
翟慧敏,女,硕士,副教授.主要研究方向:城市建设与生态环境;通信作者:程启先,男,硕士研究生.主要研究方向:城市与区域规划。
