The Science of The Total Environment, Год журнала: 2023, Номер 895, С. 164939 - 164939
Опубликована: Июнь 20, 2023
Язык: Английский
The Science of The Total Environment, Год журнала: 2023, Номер 895, С. 164939 - 164939
Опубликована: Июнь 20, 2023
Язык: Английский
Water, Год журнала: 2025, Номер 17(2), С. 169 - 169
Опубликована: Янв. 10, 2025
Qionghai Lake is an important freshwater source in the Yunnan–Guizhou Plateau. However, cyanobacterial blooms have been observed recently Lake, but their formation mechanism and control management are not well understood. Herein, phytoplankton, zooplankton, eutrophication, nutrients, biochemical indices were measured from May 2022 to April 2023. The results showed that predominated Anabaena sp. with a density of 1.11 × 107–18.87 107 cells/L. started northwestern area November then expanded entire lake until it peaked subsided February Protozoa dominated zooplankton while having no significant relationship Lake. trophic level index chlorophyll similar spatiotemporal trends density, water quality northwest was worse than other parts. Total nitrogen (TN) total phosphorus (TP) 0.41–0.54 0.021–0.045 mg/L TN TP positively correlated most environmental factor affecting bloom These findings might provide essential information for improving remediation
Язык: Английский
Процитировано
0Aquatic Sciences, Год журнала: 2025, Номер 87(2)
Опубликована: Фев. 3, 2025
Язык: Английский
Процитировано
0Water Research, Год журнала: 2025, Номер 277, С. 123300 - 123300
Опубликована: Фев. 15, 2025
Язык: Английский
Процитировано
0Environmental Research, Год журнала: 2025, Номер unknown, С. 121184 - 121184
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Remote Sensing, Год журнала: 2025, Номер 17(9), С. 1546 - 1546
Опубликована: Апрель 26, 2025
Lake surface water area (LSWA) and lake temperature (LSWT) are critical indicators of climate change, responding rapidly to global warming. However, studies on the synergistic variations LSWA LSWT scarce, coupling relationships among lakes with different environmental characteristics remain unclear. In this study, relative growth rate (RKLSWA); absolute rates annual maximum, mean, minimum LSWTs (i.e., KLSWT_max, KLSWT_mean, KLSWT_min); difference between maximum (LSWT_mmd) (KLSWT_mmd) were investigated across more than 4000 in China using long-term Landsat data, their types permafrost non-permafrost recharge, endorheic or exorheic lakes, natural artificial lakes) comprehensively analyzed. Results indicate significant differences trends LSWT, as well interrelationships various regions types. Qinghai–Tibet Plateau (QTP), 57.8% showed an increasing trend LSWA, 2.4% showing moderate expansion (RKLSWA values 0.1–0.2), while over 27.5% South (SC) region displayed shrinkage −0.1~0%/year). Regarding LSWTs, 49.8% QTP exhibited a KLSWT_max greater 0, 47.9% KLSWT_mean 0. contrast, 48.1% Middle Lower Yangtze River Plain (MLYP) had less 48.5% Additionally, supplied by permanent demonstrated both those non-permanent permafrost. Further analysis revealed that approximately 20.2% experienced concurrent increase mean whereas around 18.9% simultaneous rise LSWT_mmd LSWA. This suggests is correlated rising temperatures differences. study provides deeper insights into response Chinese change offers important references for resource management ecological conservation.
Язык: Английский
Процитировано
0Current Research in Microbial Sciences, Год журнала: 2025, Номер unknown, С. 100400 - 100400
Опубликована: Май 1, 2025
Язык: Английский
Процитировано
0Water, Год журнала: 2022, Номер 14(17), С. 2611 - 2611
Опубликована: Авг. 25, 2022
Understanding the spatiotemporal distributions and variation characteristics of water quality parameters is crucial for ecosystem restoration management lakes, in particular, Lake Qilu (QL), a typical plateau shallow lake on Yunnan-Guizhou Plateau, southwestern China. To identify main causes harmful algal blooming continuous decline, total phosphorus (TP), nitrogen (TN), temperature (WT), dissolved oxygen (DO), chlorophyll-a (Chl-a), pH, turbidity hypereutrophic from January 2017 to December 2021 were analyzed. The results showed complex pattern distribution variation. WT no significant change vertical profile. DO pH value variations caused by both physical biochemical processes, especially at bottom QL with an anaerobic environment. Trophic State Index (TSI) assessment that eutrophic (70.14% all samples, 50 < TSI 70) (29.86%, 70 TSI) poor (WQI 25). TP factors controlling blooms (HABs) based statistical analysis Principal Component Analysis (PCA), Random Forest Model (RFM), Correlation (CA). In QL, loading reduction level increase might be key strategies treating HABs future. Based our results, reducing may more effective than TN prevent highly eutrophicated Qilu.
Язык: Английский
Процитировано
16The Science of The Total Environment, Год журнала: 2023, Номер 876, С. 162747 - 162747
Опубликована: Март 10, 2023
Язык: Английский
Процитировано
8The Science of The Total Environment, Год журнала: 2023, Номер 903, С. 166303 - 166303
Опубликована: Авг. 15, 2023
Язык: Английский
Процитировано
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