The main objective of this study is to quantify the groundwater contamination risk of Songhua River Basin by applying a novel approach of integrating public datasets, web services and numerical modelling techniques. To our knowledge, this study is the first to establish groundwater risk maps for the entire Songhua River Basin, one of the largest and most contamination-endangered river basins in China. Index-based groundwater risk maps were created with GIS tools at a spatial resolution of 30arc sec by combining the results of groundwater vulnerability and hazard assessment. Groundwater vulnerability was evaluated using the DRASTIC index method based on public datasets at the highest available resolution in combination with numerical groundwater modelling. As a novel approach to overcome data scarcity at large scales, a web mapping service based data query was applied to obtain an inventory for potential hazardous sites within the basin. The groundwater risk assessment demonstrated that <1% of Songhua River Basin is at high or very high contamination risk. These areas were mainly located in the vast plain areas with hotspots particularly in the Changchun metropolitan area. Moreover, groundwater levels and pollution point sources were found to play a significantly larger impact in assessing these areas than originally assumed by the index scheme. Moderate contamination risk was assigned to 27% of the aquifers, predominantly associated with less densely populated agricultural areas. However, the majority of aquifer area in the sparsely populated mountain ranges displayed low groundwater contamination risk. Sensitivity analysis demonstrated that this novel method is valid for regional assessments of groundwater contamination risk. Despite limitations in resolution and input data consistency, the obtained groundwater contamination risk maps will be beneficial for regional and local decision-making processes with regard to groundwater protection measures, particularly if other data availability is limited.
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http://dx.doi.org/10.1016/j.scitotenv.2017.06.126 | DOI Listing |
Spectrochim Acta A Mol Biomol Spectrosc
December 2024
Department of Chemistry, College of Arts and Sciences, Northeast Agricultural University, Harbin 150030, PR China. Electronic address:
Accurately monitoring the content of Cu and Hg in real samples and biological systems is of great significance in ensuring food safety and human health. Therefore, developing efficient methods for simultaneously detecting Cu and Hg is of great significance in living organisms and real samples. In this work, a bifunctional ratiometric and colorimetric fluorescent bio-sensor DPT-1, was designed and synthesized using triphenylamine to specifically and concurrently detect Cu and Hg exhibited varying degrees of fluorescence quenching through "turn-off" fluorescence.
View Article and Find Full Text PDFHuan Jing Ke Xue
November 2024
School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China.
J Hazard Mater
November 2024
State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China. Electronic address:
Phenolic compounds usually produce coupling phenols during the upstream oxidation treatment of water, but the disinfection by-products (DBPs) of coupling phenols in the subsequent disinfection process have been overlooked. Herein, we demonstrated the generation and higher toxicity of these DBPs. In Songhua River water, 0.
View Article and Find Full Text PDFAquat Toxicol
December 2024
Ecological and Environmental Monitoring Centre of Heilongjiang Province, Harbin 150056, China. Electronic address:
Microplastics are a novel pollutant that adversely affect freshwater benthic organisms. However, few studies have investigated the mechanism underlying the bioaccumulation and the toxicity of microplastics. In this study, microplastics bioaccumulation of wild Cipangopaludina chinensis in the Songhua River were utilized, and a 28-day aquatic toxicity test was performed to determine the effects of exposure to polyethylene terephthalate (PET), the bioaccumulation of PET, and changes in multiple biomarkers in the muscle, gill, and kidney tissues.
View Article and Find Full Text PDFSensors (Basel)
October 2024
College of Geographical Sciences, Harbin Normal University, Harbin 150025, China.
Understanding water quality is crucial for environmental management and policy formulation. However, existing methods for assessing water quality are often unable to fully integrate with multi-source remote sensing data. This study introduces a method that employs a stacking algorithm within the Google Earth Engine (GEE) for classifying water quality grades in the Songhua River Basin (SHRB).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!