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

云师大地理学部罗毅、杨昆教授在top期刊《Science of The Total Environment》发表研究成果

已有 1382 次阅读 2024-7-9 22:56 |个人分类:云师大研究|系统分类:论文交流

       2024年7月8日,Elsevier 旗下top期刊《Science of The Total Environment在线发表了云南师范大学地理学部罗毅教授最新研究成果Response of changes in lake area to drought and land use change》。第一作者为云南师范大学地理学部罗毅教授,通讯作者为云南师范大学地理学部杨昆教授和 Rixiang Chen。

https://www.sciencedirect.com/science/article/abs/pii/S0048969724047879

1-s2.0-S0048969724047879-ga1_lrg.jpg

Abstract

The lake area is a crucial parameter that characterizes the state of a lake. Under the dual pressures of climate change and human activity, the magnitude and frequency of changes in lake areas become more pronounced. This process poses a serious threat to the local ecological environment. In this study, we constructed a lake water extraction model (LakeNet) based on a fully convolutional neural network. We extracted and analyzed the spatiotemporal characteristics of the area of nine major lakes from 1987 to 2022, as well as the driving factors behind these changes. Our results indicate that: 1) LakeNet exhibits high extraction accuracy and can remove some clouds. 2) The area of the nine major lakes shows a fluctuating downward trend (−8.11km2/10a), with drought and land use changes identified as significant driving forces behind the changes in lake boundaries, drought events caused the lake area to decrease, and the expansion of cropland further reduced the lake area. 3) Due to variations in lake area, the impact of drought on the area of the nine major lakes exhibits a lag effect, smaller lakes are likely to respond more quickly to drought.

微信截图_20240709231123.png

扩展阅读:

罗毅-地理学部

云师大地理学部罗毅教授在top期刊《Ecological Indicators》上发表研究成果

云师大——基础研究之杰出代表杨昆教授

云师大杨昆课题组在Water Research、J HYDROL和ENVIRON POLLUT等高端期刊发文4篇



https://blog.sciencenet.cn/blog-454141-1441616.html

上一篇:云师大职教学院Hong Xiaodi在《Food Chemistry》上发表最新研究成果
下一篇:云师大地理学部孙俊教授在top期刊《Ecological Indicators》上发表研究成果
收藏 IP: 183.224.91.*| 热度|

0

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, 2024-11-22 20:20

Powered by ScienceNet.cn

Copyright © 2007- 中国科学报社

返回顶部