Response of water quality in major tributaries to the difference of multi-scale landscape indicators in Dongting Lake basin, China-Reference-Cited by-同舟云学术

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Response of water quality in major tributaries to the difference of multi-scale landscape indicators in Dongting Lake basin, China

Published:2024-07-15 Issue:35 Volume:31 Page:47701-47713
ISSN:1614-7499
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Bai Yang,Ma Zhifei,Wu Yanping,You Hailin,Xu Jinying

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangxi Province

Young Talents Training Project of Jiangxi Province

The Ninth Batch of Double Hundred and Double Thousand Talent Project of Jiujiang City

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11356-024-34048-5.pdf

Reference39 articles.

1. Çadraku HS (2021) Groundwater quality assessment for irrigation: case study in the Blinaja River Basin, Kosovo. Civ Eng J 7:1515–1528

2. Cheng X, Song JP, Yan JZ (2023) Influences of landscape pattern on water quality at multiple scales in an agricultural basin of western China. Environ Pollut 319:120986

3. Deng L, Li WS, Liu XJ, Wang YZ, Wang LQ (2023) Landscape patterns and topographic features affect seasonal river water quality at catchment and buffer scales. Remote Sens 15:1438

4. Ding J, Jiang Y, Liu Q, Hou ZJ, Liao JY, Fu L, Peng QZ (2016) Influences of the land use pattern on water quality in low-order streams of the Dongjiang River basin, China: a multi-scale analysis. Sci Total Environ 551–552:205–216

5. Feng ZH, Zhang ZW, Zuo YI, Wan XM, Wang LQ, Chen H, Xiong GC, Liu YR, Tang Q, Liang T (2023) Analysis of long term water quality variations driven by multiple factors in a typical basin of Beijing-Tianjin-Hebei region combined with neural networks. J Clean Prod 382:135367

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