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Applied Sciences
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Lake Processes under Climate Change and Human Activities
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Lake Processes under Climate Change and Human Activities

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".

Deadline for manuscript submissions: closed (15 June 2023) | Viewed by 4460

Special Issue Editors

Prof. Dr. Yi Luo

E-Mail Website
Guest Editor
Faculty of Geography, Yunnan Normal University, Kunming 650092, China
Interests: geo-spatial analysis; satellite image analysis; urbanization impact on lake environment
Special Issues, Collections and Topics in MDPI journals
Dr. Lei Zhao

E-Mail Website
Guest Editor
Faculty of Geography, Yunnan Normal University, Kunming 650092, China
Interests: simulation of lake process; response of lake process to human activities and climate change; satellite image analysis
Dr. Qichao Zhou

E-Mail Website
Guest Editor
Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Sciences, Yunnan University, Kunming 650500, China
Interests: lake optics; thermal stratification; phytoplankton; biodiversity-ecosystem functioning; climate change; land use

Special Issue Information

Dear Colleagues,

Climate change and human activities have directly and/or indirectly impacted all aspects of lake ecosystems, which provide valuable services to human. However, due to the great geographical heterogeneity of lake characteristics, the responses of lake physical, chemical and biological processes to climate change, human activities and their interaction are various. We need more cases and various methods (e.g., modelling, analysis of long-term data) to understand the impact of climate change and human activities on lake processes, and to provide sufficient information for effective lake management decisions in a changing world.

This Special Issue plans to elucidate the responses of lake (physical, chemical and biological) processes to climate change and human activites, especially local and regional cases. Topics include, but are not limited to:

  • Long-term analysis of climate change;
  • Simulation of watershed runoff and lake process of the historical and future climate scenarios;
  • Effects of climate change (e.g., warming, extreme weather) on lake processes;
  • Effects of watershed land-use change (e.g., urbanization) on lake processes;
  • Eutrophication and re-oligotrophication;
  • Comparative limnology.

Prof. Dr. Yi Luo
Dr. Lei Zhao
Dr. Qichao Zhou
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • climate warming
  • extreme weather
  • land use
  • urbanization
  • limnology
  • lake management
  • modelling

Published Papers (3 papers)

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Research

15 pages, 2790 KiB  
Article
Centennial Lake Environmental Evolution Reflected by Diatoms in Yilong Lake, Yunnan Province, China
by Yue Huang, Ruiwen Ma, Hongbo Shi, Jie Li and Shuyu Tu
Appl. Sci. 2023, 13(9), 5288; https://doi.org/10.3390/app13095288 - 23 Apr 2023
Cited by 2 | Viewed by 1297
Abstract
The 64 cm sediment diatoms, representing a timescale from 1938 to 2020 A.D., were analyzed to reconstruct the evolutionary history of Yilong Lake in Yunnan Province, China. Some main diatoms with important environmental indicating significance were selected through Principal Component Analysis (PCA). In [...] Read more.
The 64 cm sediment diatoms, representing a timescale from 1938 to 2020 A.D., were analyzed to reconstruct the evolutionary history of Yilong Lake in Yunnan Province, China. Some main diatoms with important environmental indicating significance were selected through Principal Component Analysis (PCA). In addition, their ecological affinities indicated that the PCA sample scores 1 and 2, which were the main factors affecting the environmental change of Yilong Lake, corresponded to pH value and eutrophication, respectively. According to the pH value and the eutrophication data obtained from the PCA, the lake had successively gone through six major stages. Though high pH value and eutrophication had been the main characteristics for a long time, the quality of Yilong Lake was gradually improved through planned treatment in the last decades. The drying up of the lake under natural conditions resulted in an increase in pH values and high eutrophication. Meanwhile, the impact of human activities played a more important role in lake evolution: unreasonable human development in lake basins led to abnormal changes in pH values and eutrophication, and planned and targeted treatment could restore the natural state of the lake. Full article
(This article belongs to the Special Issue Lake Processes under Climate Change and Human Activities)
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17 pages, 4899 KiB  
Article
Regional Remote Sensing of Lake Water Transparency Based on Google Earth Engine: Performance of Empirical Algorithm and Machine Learning
by Weizhong Zeng, Ke Xu, Sihang Cheng, Lei Zhao and Kun Yang
Appl. Sci. 2023, 13(6), 4007; https://doi.org/10.3390/app13064007 - 21 Mar 2023
Cited by 3 | Viewed by 1508
Abstract
Secchi depth (SD) is a valuable and feasible water quality indicator of lake eutrophication. The establishment of an automated system with efficient image processing and an algorithm suitable for the inversion of transparency in lake-rich regions could provide sufficient temporal and spatial information [...] Read more.
Secchi depth (SD) is a valuable and feasible water quality indicator of lake eutrophication. The establishment of an automated system with efficient image processing and an algorithm suitable for the inversion of transparency in lake-rich regions could provide sufficient temporal and spatial information for lake management. These are especially critical for lake-rich regions where in situ monitoring data are scarce. This study demonstrated the implementation of an atmospheric correction algorithm (ACOLITE algorithm) in conjunction with the Google Earth Engine platform to generate remote-sensing reflectance products of specific points efficiently. The study also evaluated the performance of an algorithm for inverting lake SDs in Yunnan Plateau lakes, which is one of the five lake districts in China, since there is a lack of in situ data for most of the lakes in the region. The in situ data from four lakes with large SD ranges and imagery from Landsat Operational Land Imager were used to train and evaluate the performance of two algorithms: an empirical algorithm (stepwise regression) and machine learning (support vector machines and multi-layer perception). The results revealed that the retrieval accuracy of models with bands and band ratio combinations could be substantially improved compared with models with a single band or band combinations. A negative correlation was also observed between the temporal match between observations and the model accuracy. This study found that the MLP model with sufficient training data was more suitable for transparency estimation of lakes belonging to the dataset; the SVM model was more suitable for transparency prediction outside the training set, regardless of the adequacy of the training data. This study provides a reference for monitoring lakes within the Yunnan region using remote sensing. Full article
(This article belongs to the Special Issue Lake Processes under Climate Change and Human Activities)
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17 pages, 25585 KiB  
Article
Changes in Meteorological Elements and Its Impacts on Yunnan Plateau Lakes
by Xian Fan, Kun Yang, Ruibo Yang and Lei Zhao
Appl. Sci. 2023, 13(5), 2881; https://doi.org/10.3390/app13052881 - 23 Feb 2023
Cited by 2 | Viewed by 1235
Abstract
In this study, we analyzed the main climatic factors influencing nine plateau lakes in Yunnan Province over the past 40 years (from 1980 to 2019) based on trend and mutation analyses. The results revealed that the air temperatures of these plateau lakes have [...] Read more.
In this study, we analyzed the main climatic factors influencing nine plateau lakes in Yunnan Province over the past 40 years (from 1980 to 2019) based on trend and mutation analyses. The results revealed that the air temperatures of these plateau lakes have increased, with an annual average air temperature increase of 0.18 °C per decade, during this 40-year period. From 2000 to 2005, there was an abrupt change in the air temperature increase, the rate of which was 0.20 °C per decade, and there were reductions in long-wave radiation, relative humidity, wind speed, precipitation, and snowfall. In addition, the rising trend in the air temperature of these lakes located in northwest Yunnan (temperate climate, higher elevation) was found to be significantly higher than that of the lakes in central Yunnan (subtropical climate, lower elevation), whereas in contrast, the declining trends in long-wave radiation, relative humidity, wind speed, and precipitation were more pronounced in central than in northwestern Yunnan. Full article
(This article belongs to the Special Issue Lake Processes under Climate Change and Human Activities)
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