一种基于MCS-RP-TOPSIS-GSA综合模型的湖库富营养化评估新方案  

A new scheme for lake and reservoir eutrophication assessment based on the integrated MCS-RP-TOPSIS-GSA model

在线阅读下载全文

作  者:赵子越 戴长雷[1,2] 段帅 Zhao Ziyue;Dai Changlei;Duan Shuai(College of Water Resources and Electricity Power,Heilongjiang University,Harbin 150080,China;Cold Zone Groundwater Research Institute,Heilongjiang University,Harbin 150080,China;Beijing Dongzhou Jinlu Technology Co.,Ltd.,Beijing 100000,China)

机构地区:[1]黑龙江大学水利电力学院,黑龙江哈尔滨150080 [2]黑龙江大学寒区地下水研究所,黑龙江哈尔滨150080 [3]北京东州金潞科技有限公司,北京100000

出  处:《吉林水利》2025年第4期28-36,共9页Jilin Water Resources

基  金:中国科协“一带一路”国际科技组织合作平台建设资助项目(KXPT-2019-004)。

摘  要:水体富营养化是制约水生态环境可持续发展的全球性问题,准确评估水质、支持湖库湿地的科学治理意义重大,但过去常用的水质评估方案受限于人为勘测误差、模型不确定性误差等,难以满足当前维护湖库水生态健康的迫切要求。针对人工勘测误差与模型模拟失真的缺陷,提出MCS-RP-TOPSIS-GSA综合模型用于大伙房水库的富营养化评估,之后以该水库的历年水质数据为标准进行纵向检验。模型模拟结果与该水库监测站所公布的历年水质检测结果相符,表明此方法能为大型湖库湿地的水质评估提供有力的技术支持。Currently,water eutrophication poses a significant global challenge that hinders the sustainable de-velopment of aquatic ecosystems.Consequently,accurately assessing water quality is crucial for supporting the scientific management of lake and reservoir wetlands.Traditional water quality assessment methods have been constrained by human survey errors and uncertainties in modeling,making it difficult to meet the urgent de-mands for maintaining the ecological health of these water bodies.This study proposes an integrated MCS-RP-TOPSIS-GSA model to evaluate the eutrophication status of the Dahuofang Reservoir,addressing the limita-tions of artificial survey errors and model simulation distortions.The simulation results from this model align with the water quality data published by monitoring stations,demonstrating its potential to provide robust tech-nical support for large-scale lake and reservoir wetland assessments.

关 键 词:大伙房水库 富营养化评估 综合模型 水质评价 

分 类 号:S126[农业科学—农业基础科学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象