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Jiabo Chen
National & Local United Engineering Laboratory of Petroleum Chemical Process Operation Optimization and Energy Conservation Technology, Liaoning Shihua University, Fushun, 113001, China.

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Journal article
Published: 01 October 2019 in Scientific Reports
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River ecosystem health assessments provide the foundation for river ecological protection and integrated management. To evaluate the aquatic ecosystem health of the Fan River basin, benthic macroinvertebrate indices (the Multimeric Macroinvertebrates Index Flanders (MMIF) and Family Biotic Index (FBI)), a habitat index (the river habitat quality Index (RHQI)) and a water quality index (the Improved Water Pollution Index (IWPI)) were selected. The entropy weighting method was used to calculate the RHQI and IWPI. A fuzzy comprehensive evaluation method was used to evaluate the aquatic ecosystem health. The evaluation results indicated that the aquatic ecosystem health of the Fan River basin was better in 2018 than in 2011, which respectively belonged to the ends of the 11th and 12th Five-Year Plans of the Major Science and Technology Programs for Water Pollution Control and Treatment in China. The proportions of sampling stations with good, moderate and poor grades in 2011 were 50.0%, 40.0% and 10.0%, respectively, and in 2018, the proportions of stations with excellent, good and moderate grades were 20.0%, 50.0% and 30.0%, respectively. A correlation analysis showed that the RHQI was significantly correlated with the MMIF, FBI and IWPI. The riparian land use pattern was an important factor that influenced changes in the aquatic ecosystem health grade. Of the water quality parameters, total phosphorous (TP) and potassium bichromate index (COD) were the main factors that affected the characteristics of benthic macroinvertebrates and the aquatic ecosystem health.

ACS Style

Jiabo Chen; Yanjie Wang; Fayun Li; Zicheng Liu. Aquatic ecosystem health assessment of a typical sub-basin of the Liao River based on entropy weights and a fuzzy comprehensive evaluation method. Scientific Reports 2019, 9, 1 -13.

AMA Style

Jiabo Chen, Yanjie Wang, Fayun Li, Zicheng Liu. Aquatic ecosystem health assessment of a typical sub-basin of the Liao River based on entropy weights and a fuzzy comprehensive evaluation method. Scientific Reports. 2019; 9 (1):1-13.

Chicago/Turabian Style

Jiabo Chen; Yanjie Wang; Fayun Li; Zicheng Liu. 2019. "Aquatic ecosystem health assessment of a typical sub-basin of the Liao River based on entropy weights and a fuzzy comprehensive evaluation method." Scientific Reports 9, no. 1: 1-13.

Journal article
Published: 28 February 2018 in Scientific Reports
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ACS Style

Jiabo Chen; Fayun Li; Yanjie Wang; Yun Kong. Estimating the nutrient thresholds of a typical tributary in the Liao River basin, Northeast China. Scientific Reports 2018, 8, 1 .

AMA Style

Jiabo Chen, Fayun Li, Yanjie Wang, Yun Kong. Estimating the nutrient thresholds of a typical tributary in the Liao River basin, Northeast China. Scientific Reports. 2018; 8 (1):1.

Chicago/Turabian Style

Jiabo Chen; Fayun Li; Yanjie Wang; Yun Kong. 2018. "Estimating the nutrient thresholds of a typical tributary in the Liao River basin, Northeast China." Scientific Reports 8, no. 1: 1.

Journal article
Published: 21 October 2016 in International Journal of Environmental Research and Public Health
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Source apportionment of river water pollution is critical in water resource management and aquatic conservation. Comprehensive application of various GIS-based multivariate statistical methods was performed to analyze datasets (2009–2011) on water quality in the Liao River system (China). Cluster analysis (CA) classified the 12 months of the year into three groups (May–October, February–April and November–January) and the 66 sampling sites into three groups (groups A, B and C) based on similarities in water quality characteristics. Discriminant analysis (DA) determined that temperature, dissolved oxygen (DO), pH, chemical oxygen demand (CODMn), 5-day biochemical oxygen demand (BOD5), NH4+–N, total phosphorus (TP) and volatile phenols were significant variables affecting temporal variations, with 81.2% correct assignments. Principal component analysis (PCA) and positive matrix factorization (PMF) identified eight potential pollution factors for each part of the data structure, explaining more than 61% of the total variance. Oxygen-consuming organics from cropland and woodland runoff were the main latent pollution factor for group A. For group B, the main pollutants were oxygen-consuming organics, oil, nutrients and fecal matter. For group C, the evaluated pollutants primarily included oxygen-consuming organics, oil and toxic organics.

ACS Style

Jiabo Chen; Fayun Li; Zhiping Fan; Yanjie Wang. Integrated Application of Multivariate Statistical Methods to Source Apportionment of Watercourses in the Liao River Basin, Northeast China. International Journal of Environmental Research and Public Health 2016, 13, 1035 .

AMA Style

Jiabo Chen, Fayun Li, Zhiping Fan, Yanjie Wang. Integrated Application of Multivariate Statistical Methods to Source Apportionment of Watercourses in the Liao River Basin, Northeast China. International Journal of Environmental Research and Public Health. 2016; 13 (10):1035.

Chicago/Turabian Style

Jiabo Chen; Fayun Li; Zhiping Fan; Yanjie Wang. 2016. "Integrated Application of Multivariate Statistical Methods to Source Apportionment of Watercourses in the Liao River Basin, Northeast China." International Journal of Environmental Research and Public Health 13, no. 10: 1035.