Chengxin Qin
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View article: A novel method for hydrology and water quality simulation in karst regions using machine learning model
A novel method for hydrology and water quality simulation in karst regions using machine learning model Open
Simulating hydrology and water quality in karst regions remains a significant challenge due to the complex and unique geological conditions. This study developed a novel conceptual model integrating baseflow segmentation and rainfall-storm…
View article: Taking Full Advantage of “Low-Quality” Datasets in Watershed Modeling: From a Perspective of Parameter Calibration
Taking Full Advantage of “Low-Quality” Datasets in Watershed Modeling: From a Perspective of Parameter Calibration Open
View article: Improved predictive performance of cyanobacterial blooms using a hybrid statistical and deep-learning method
Improved predictive performance of cyanobacterial blooms using a hybrid statistical and deep-learning method Open
Cyanobacterial harmful algal blooms (CyanoHABs) threaten ecosystem functioning and human health at both regional and global levels, and this threat is likely to become more frequent and severe under climate change. Predictive information c…
View article: Prototyping a numerical model coupled with remote sensing for tracking harmful algal blooms in shallow lakes
Prototyping a numerical model coupled with remote sensing for tracking harmful algal blooms in shallow lakes Open
In this paper, we present the design, development and test cases of LakeM, a software package for modeling the transport pathways of harmful algal blooms in shallow lakes. LakeM integrates implementation of numerical methods and data visua…
View article: Temporal Variation and Reduction Strategy of Nutrient Loads from an Urban River Catchment into a Eutrophic Lake, China
Temporal Variation and Reduction Strategy of Nutrient Loads from an Urban River Catchment into a Eutrophic Lake, China Open
Excessive nutrient input from urban areas increases the occurrence of eutrophication. Control of nutrient loads is perceived as the primary restoration method. Quantifying temporal variation of nutrient loads is essential to understand the…
View article: Optimization of China Sponge City Design: The Case of Lincang Technology Innovation Park
Optimization of China Sponge City Design: The Case of Lincang Technology Innovation Park Open
China launched the sponge city (SPC) initiative in 2013 to reduce municipal stormwater runoff. The design criteria are mainly the annual comprehensive runoff coefficient (ACRC) regulated in a design guideline. Numerous SPC alternatives wit…