一叶扁舟的博客分享 http://blog.sciencenet.cn/u/jinhejiang 崇山峻岭中的一滴露珠

博文

云师大地理学部彭双云教授在top期刊《Ecological Indicators》上发表研究成果

已有 1083 次阅读 2024-7-26 15:42 |个人分类:云师大研究|系统分类:论文交流

2024年7月7日,Elsevier 旗下top期刊《Ecological Indicators》在线发表了云南师范大学地理学部彭双云教授最新研究成果《Multiple scale impacts of land use intensity on water quality in the Chishui river source area》。云南师范大学地理学部彭双云教授为通讯作者。

https://www.sciencedirect.com/science/article/pii/S1470160X24008537

3.png

Abstract

There is a consensus on the impact of land use types and patterns on water quality. However, the specific relationship between human interventions on land resources, namely land use intensity (LUI), and water quality remains unclear. Therefore, it is important to investigate in-depth the concrete impacts of LUI on water quality and spatial scale effects to effectively mitigate and manage water quality degradation problems and guide the rational development and utilization of land resources. In this study, focusing on the streams in the headwaters of the Chishui River, Pearson correlation analysis, redundancy analysis (RDA) and stepwise multiple linear regression (SMLR) models were used to investigate how the LUI affects seasonal water quality at multi-spatial scales. The study revealed marked seasonal and regional discrepancies in water quality indicators, while also revealing significant between discrepancies scales and spatial heterogeneity in LUI. In terms of magnitude of impact, LUI had a significant effect on water quality variability, with a greater impact observed in the dry season than in the wet season. The specific impacts of different pollution sources on water quality are ranked as follows: domestic sewage and its waste > Livestock and poultry breeding > agricultural planting. From the point of scale effect, the LUI showed optimal effects on and predictive abilities for changes in water quality in smaller riverbank buffer zones. The SMLR analysis revealed that the LUI showed stronger predictive abilities for certain water quality indicators across various scales. For instance, BOD5, TP, CODMn, and NH3-N exhibited more significant predictive effects at smaller scales, whereas COD, EC, DO, and TN demonstrated better predictive accuracy at larger scales. The research conclusions offer valuable scientific insights into controlling environmental pollution in water bodies and have significant implications for the rational planning and implementation of land use development, management and conservation efforts.

扩展阅读:

云师大地理学部彭双云教授在top期刊《Ecological Indicators》上发表研究成果

彭双云-地理学部



https://blog.sciencenet.cn/blog-454141-1443892.html

上一篇:云师大信息学院甘健侯教授在《Swarm and Evolutionary Computation》发表最新研究成果
下一篇:云师大杰出校友之易江燕
收藏 IP: 39.129.255.*| 热度|

1 杨正瓴

该博文允许注册用户评论 请点击登录 评论 (0 个评论)

数据加载中...

Archiver|手机版|科学网 ( 京ICP备07017567号-12 )

GMT+8, 2024-11-23 07:31

Powered by ScienceNet.cn

Copyright © 2007- 中国科学报社

返回顶部