Article
Environmental Sciences
Yelong Zhao, Shenglei Wang, Fangfang Zhang, Qian Shen, Junsheng Li
Summary: This study utilized remote sensing images and related indices to construct a water quality detection model for the Yangtze River, analyzing the spatial distribution, seasonal variation, inter-annual variation, and main driving factors of the water quality in the Yangtze River.
Article
Environmental Sciences
Miaomiao Chen, Fei Xiao, Zhou Wang, Qi Feng, Xuan Ban, Yadong Zhou, Zhengzheng Hu
Summary: This study improves the QAA model for water clarity measurement and proposes a model that combines QAA_clear and QAA_turbid. By applying the model to Honghu Lake data, it is found that the model performs better in water quality measurement and produces results consistent with in situ measurements.
Article
Environmental Sciences
Jessica S. Turner, Pierre St-Laurent, Marjorie A. M. Friedrichs, Carl T. Friedrichs
Summary: Shoreline erosion plays a significant role in influencing water clarity and primary production in estuaries and coastal waters. Decreased erosional sediment inputs and reduced rates of resuspension due to shoreline armoring result in improved water clarity by decreasing inorganic particle concentrations and relaxing light limitation, subsequently increasing organic matter production. The spatial extent of the incongruous water clarity effect, defined as an Organic log Zone, occurs in mid-estuary regions and varies in different years and under different shoreline conditions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Guangming Zheng, Paul M. DiGiacomo
Summary: This article proposes a satellite-derived water clarity-turbidity index (CTI) to simplify capturing major changes in water clarity/turbidity across all water types in the Great Lakes. The application of CTI reveals major spatial and temporal patterns not entirely visible with each of the three original indicators alone.
JOURNAL OF GREAT LAKES RESEARCH
(2022)
Article
Remote Sensing
Ming Shen, Zhigang Cao, Kun Xue, Dong Liu, Tianci Qi, Jinge Ma, Hongtao Duan
Summary: This study analyzed the spatiotemporal patterns and driving factors of water clarity in lakes across Eastern China. It found that natural factors and human activities have comparable impacts on water clarity, with the dynamic sediment ratio having the highest influence. Seasonal variations in water clarity are linked to the East Asian monsoon climate.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Remote Sensing
Ziyao Yin, Junsheng Li, Yao Liu, Ya Xie, Fangfang Zhang, Shenglei Wang, Xiao Sun, Bing Zhang
Summary: This study utilized satellite images to track the changes in water quality in Lake Taihu over 36 years, identified the driving factors of water quality changes, and developed a model to estimate water quality, providing data support for local water resource conservation.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Environmental Sciences
Ming Shen, Jiquan Lin, Ying Ye, Yuxiao Ren, Junfu Zhao, Hongtao Duan
Summary: This study utilized satellite remote sensing to quantitatively analyze the spatial and temporal distribution of Secchi disk depth (SDD) in the coastal waters of Hainan Island, China, revealing the impacts of environmental investments on the coastal water environment. The results showed that the water quality in Hainan coastal waters has significantly improved over the past 20 years, but the increasing global oceanic wind speed has counteracted a portion of the effectiveness of remedial management in protecting and restoring the coastal ecosystem.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Environmental Sciences
Eliza S. Deutsch, Marie-Josee Fortin, Jeffrey A. Cardille
Summary: This study assesses the water clarity of lakes across southern Canada using remote sensing technology and field measurements. It identifies factors influencing water clarity and provides insights into the relationship between optical properties of lakes and their health and vulnerability status.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Hannah J. Rubin, David A. Lutz, Bethel G. Steele, Kathryn L. Cottingham, Kathleen C. Weathers, Mark J. Ducey, Michael Palace, Kenneth M. Johnson, Jonathan W. Chipman
Summary: This study compared the performance of random forest machine learning algorithm and a simple linear model in modeling lake water clarity, and found that the random forest model outperformed in both the single-date approach and complete dataset analysis.
Article
Engineering, Environmental
Yuan He, Zheng Lu, Weijia Wang, Dong Zhang, Yunlin Zhang, Boqiang Qin, Kun Shi, Xiaofan Yang
Summary: In this study, a novel and transferrable hybrid deep-learning-based recurrent model (DGRN) was developed to accurately map the water clarity of global lakes using Landsat 8 OLI images. The model demonstrated good performance and revealed that water depth was the most important factor determining the spatial distribution of water clarity. Furthermore, it was found that the water clarity of global lakes improved during the COVID-19 period due to the reduction of anthropogenic activities.
Article
Environmental Sciences
Chong Liu, Liping Zhu, Junsheng Li, Junbo Wang, Jianting Ju, Baojin Qiao, Qingfeng Ma, Shenglei Wang
Summary: Water clarity is a comprehensive indicator of the water environment status, with studies showing global decreases in inland and ocean water clarity due to climate change and human activities. This research focused on water clarity changes in 152 large lakes on the Tibetan Plateau, revealing a significant increase in Secchi Depth and its correlation with lake size, precipitation, suspended matter, fDOM, and chlorophyll-a concentration. The findings contribute to understanding inland water clarity changes and their implications for heat exchanges between lake water and the atmosphere.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Geography, Physical
Daniel Andrade Maciel, Claudio Clemente Faria Barbosa, Evlyn Marcia Leao de Moraes Novo, Rogerio Flores Junior, Felipe Nincao Begliomini
Summary: The study evaluated the use of Machine Learning and Semi-Analytical algorithms for Z(sd) retrieval in Brazilian inland waters, generating Z(sd) maps using Random Forest on the Google Earth Engine platform. Machine Learning methods performed well, with Random Forest showing errors lower than 22%, and Semi-Analytical approaches yielding results closer to the Machine Learning methods. This indicates high accuracy of Machine Learning methods for Z(sd) retrieval.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Eliza S. Deutsch, Jeffrey A. Cardille, Talia Koll-Egyed, Marie-Josee Fortin
Summary: The study used Landsat 8 images and water clarity datasets from southern Canada to evaluate the relationship between in situ Secchi disk depth and Landsat 8 Blue/Red band ratio, finding that a global algorithm effectively represents this relationship across diverse lake types. Improved model fit was achieved by applying a median filter to remove outliers caused by atmospheric artifacts in available imagery. The findings suggest that large datasets and temporal averaging methods can help better elucidate the true relationships between in situ water clarity and satellite reflectance data.
Article
Geochemistry & Geophysics
Yao Liu, Junsheng Li, Chenchao Xiao, Fangfang Zhang, Shenglei Wang, Ziyao Yin, Chao Wang, Bing Zhang
Summary: This study proposed a classification-based, semianalytical method to retrieve water clarity from ZY1-02D imagery for inland waters with varying turbidities, achieving high accuracy in the detection of water quality.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Jennifer Skerratt, Mark E. Baird, Mathieu Mongin, Robin Ellis, Rachael A. Smith, Melanie Shaw, Andy D. L. Steven
Summary: Pesticides from urban and agricultural runoff are causing pollution in the Great Barrier Reef, with concentrations of the pesticide diuron exceeding water quality guidelines. The diuron load entering the reef waters and its dispersal patterns have been quantified using models. The highest concentrations of diuron were found in the Mackay-Whitsunday region, posing a risk to coral and seagrass habitats. This study provides valuable information for the understanding and management of pesticide pollution in the Great Barrier Reef.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Martina Reichstetter, Peter R. C. S. Fearns, Scarla J. Weeks, Lachlan I. W. McKinna, Chris Roelfsema, Miles Furnas
Article
Environmental Sciences
Scarla J. Weeks, Marites M. Magno-Canto, Fabrice R. A. Jaine, Jon Brodie, Anthony J. Richardson
Article
Multidisciplinary Sciences
Christoph A. Rohner, Anthony J. Richardson, Clare E. M. Prebble, Andrea D. Marshall, Michael B. Bennett, Scarla J. Weeks, Geremy Cliff, Sabine P. Wintner, Simon J. Pierce
Article
Oceanography
Lachlan I. W. McKinna, Peter R. C. Fearns, Scarla J. Weeks, P. Jeremy Werdell, Martina Reichstetter, Bryan A. Franz, Donald M. Shea, Gene C. Feldman
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2015)
Article
Marine & Freshwater Biology
K. E. Fabricius, M. Logan, S. J. Weeks, S. E. Lewis, J. Brodie
ESTUARINE COASTAL AND SHELF SCIENCE
(2016)
Review
Environmental Sciences
John D. Hedley, Chris M. Roelfsema, Iliana Chollett, Alastair R. Harborne, Scott F. Heron, Scarla J. Weeks, William J. Skirving, Alan E. Strong, C. Mark Eakin, Tyler R. L. Christensen, Victor Ticzon, Sonia Bejarano, Peter J. Mumby
Article
Multidisciplinary Sciences
Katherine B. Burgess, Lydie I. E. Couturier, Andrea D. Marshall, Anthony J. Richardson, Scarla J. Weeks, Michael B. Bennett
ROYAL SOCIETY OPEN SCIENCE
(2016)
Article
Multidisciplinary Sciences
Christoph A. Rohner, Anthony J. Richardson, Fabrice R. A. Jaine, Michael B. Bennett, Scarla J. Weeks, Geremy Cliff, David P. Robinson, Katie E. Reeve-Arnold, Simon J. Pierce
Article
Marine & Freshwater Biology
L. I. E. Couturier, C. L. Dudgeon, K. H. Pollock, F. R. A. Jaine, M. B. Bennett, K. A. Townsend, S. J. Weeks, A. J. Richardson
Article
Biochemistry & Molecular Biology
L. I. E. Couturier, C. A. Rohner, A. J. Richardson, S. J. Pierce, A. D. Marshall, F. R. A. Jaine, K. A. Townsend, M. B. Bennett, S. J. Weeks, P. D. Nichols
Article
Ecology
C. A. Rohner, S. J. Pierce, A. D. Marshall, S. J. Weeks, M. B. Bennett, A. J. Richardson
MARINE ECOLOGY PROGRESS SERIES
(2013)
Article
Ecology
F. R. A. Jaine, C. A. Rohner, S. J. Weeks, L. I. E. Couturier, M. B. Bennett, K. A. Townsend, A. J. Richardson
MARINE ECOLOGY PROGRESS SERIES
(2014)
Article
Environmental Sciences
K. E. Fabricius, M. Logan, S. Weeks, J. Brodie
MARINE POLLUTION BULLETIN
(2014)
Article
Multidisciplinary Sciences
Lydie I. E. Couturier, Christoph A. Rohner, Anthony J. Richardson, Andrea D. Marshall, Fabrice R. A. Jaine, Michael B. Bennett, Kathy A. Townsend, Scarla J. Weeks, Peter D. Nichols
Article
Multidisciplinary Sciences
Asia O. Armstrong, Amelia J. Armstrong, Fabrice R. A. Jaine, Lydie I. E. Couturier, Kym Fiora, Julian Uribe-Palomino, Scarla J. Weeks, Kathy A. Townsend, Mike B. Bennett, Anthony J. Richardson