Study on river health assessment based on a fuzzy matter-element extension model

Shan, Chengju; Dong, Zengchuan; Lu, Debao; Xu, Cundong; Wang, Hui; Ling, Zhe; Liu, Qing

doi:10.1016/j.ecolind.2021.107742

Cited by 54 publications

(22 citation statements)

References 19 publications

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“…However, biological indices have been more widely used because they can reduce the effort and cost of data collection and more accurately and completely reflect the health status of the system and the intensity of disturbances. Researchers have reported numerous experiences in developing multimetric indices based on different biological groups [10] over the years and throughout the world. For example, fish-based indices include the preliminary reservoir fish assemblage index (RFAI) [11], the regional pressure index (RPI) [12], and the Ohio River Fish Index (ORFIn) [13]; macroinvertebrate-based indices include the Indice Biotique Macroinvertébrés de Guyane (IBMG) [14], the Semi-quantitative Multimetric Index (SMI) [15], the multimetric index (I 2 M 2 ) [16], the phytoplankton-based indices Phytoplankton Index of Biotic Integrity (P-IBI) [17], new multimetric Index [18], and Index of Size spectra Sensitivity of Phytoplankton (ISS-Phyto) [19].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Aquatic Ecosystem Health with Indices of Biotic Integrity (IBIs) in the Ganjiang River System, China

Huang

Jing

Liu

et al. 2022

Water

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Indices of biotic integrity (IBIs) are widely used to assess aquatic ecosystem health. However, there are few studies on their relationships. Based on fish, macroinvertebrate and plankton survey data collected in the Ganjiang River system from 2016 to 2017, redundancy analysis (RDA) and canonical correspondence analysis (CCA) were used to analyze how the community structures of these organisms respond to environmental variables. The fish IBI (F-IBI), benthic macroinvertebrate IBI (B-IBI), and phytoplankton IBI (P-IBI) were applied to evaluate the health status of the aquatic ecosystem. A Kruskal–Wallis test (p < 0.05) and Spearman’s correlation coefficient analysis were performed to evaluate the spatiotemporal heterogeneity of the results. Our results suggested that the F-IBI-, B-IBI-, and P-IBI-based assessments indicated good, fair, and healthy Ganjiang River system ecosystem health statuses, respectively, and significant differences existed among these indices (p < 0.05). The main environmental factors affecting F-IBI, B-IBI, and P-IBI were different. At the temporal scale, the F-IBI and B-IBI were stable, while the P-IBI fluctuated obviously. The consistency between the F-IBI and B-IBI results was better than that between each of these indices and the P-IBI results, and the consistency was better on a larger scale. These research results show that comprehensive assessments based on multiple groups rather than a single group can better characterize the impacts of environmental pressures on water ecosystems.

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Section: Introductionmentioning

confidence: 99%

Assessment of Aquatic Ecosystem Health with Indices of Biotic Integrity (IBIs) in the Ganjiang River System, China

Huang

Jing

Liu

et al. 2022

Water

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“…In matter-element extension analysis, the correlation degree function indicates that the element to be judged meets the required value range, T j ( C i ) is the degree to which the contamination factor X i of the matter element to be judged conforms to the evaluation grade j . T j ( C i ) ≤ −1 indicates that the element to be evaluated does not meet the standard; −1 < T j ( C i ) ≤ 0 indicates that the element to be evaluated does not meet the standard, but has the condition that it can be transformed into a standard; T j ( C i ) ≥ 0 indicates that the element to be evaluated meets the standard [ 19 ]. The correlation degree function is:

where λ ( C i , C ji ) and λ ( C i , C pi ) are the distance from the point C i to the classical domain C ji and node domain C pi .…”

Section: Methodsmentioning

confidence: 99%

“…The extension model is an organic combination of matter-element theory and extension set theory [ 15 , 16 ], which can objectively reflect the overall situation of the object to be evaluated. Some studies have shown that the matter-element extension model has higher accuracy and reliability than other evaluation methods [ 17 , 18 , 19 , 20 , 21 , 22 ]. However, there are few studies on the application of the matter-element extension model to the assessment of elements contamination in soil.…”

Section: Introductionmentioning

confidence: 99%

Source Analysis and Contamination Assessment of Potentially Toxic Element in Soil of Small Watershed in Mountainous Area of Southern Henan, China

Chen

Cao

et al. 2022

IJERPH

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In this study, the concentrations of potentially toxic elements in 283 topsoil samples were determined. Håkanson toxicity response coefficient modified matter element extension model was introduced to evaluate the soil elements contamination, and the results were compared with the pollution index method. The sources and spatial distribution of soil elements were analyzed by the combination of the PMF model and IDW interpolation. The results are as follows, 1: The concentration distribution of potentially toxic elements is different in space. Higher concentrations were found in the vicinity of the mining area and farmland. 2: The weight of all elements has changed significantly. The evaluation result of the matter-element extension model shows that 68.55% of the topsoil in the study area is clean soil, and Hg is the main contamination element. The evaluation result is roughly the same as that of the pollution index method, indicating that the evaluation result of the matter-element extension model with modified is accurate and reasonable. 3: Potentially toxic elements mainly come from the mixed sources of atmospheric sedimentation and agricultural activities (22.59%), the mixed sources of agricultural activities and mining (20.26%), the mixed sources of traffic activities, nature and mining (36.30%), the mixed sources of pesticide use and soil parent material (20.85%).

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“…The matter-element extension model studies the evaluation object, its features, and its magnitude as a whole. This evaluation method eliminates the interference of human factors analysis and evaluation results, improves the approximation of traditional algorithms, and has been widely used ( 31 , 32 ). Shan et al ( 31 ) applied the fuzzy matter-element extension model to the evaluation of river health, and proved that the method can evaluate river health systematically, comprehensively, and accurately.…”

mentioning

confidence: 99%

“…This evaluation method eliminates the interference of human factors analysis and evaluation results, improves the approximation of traditional algorithms, and has been widely used ( 31 , 32 ). Shan et al ( 31 ) applied the fuzzy matter-element extension model to the evaluation of river health, and proved that the method can evaluate river health systematically, comprehensively, and accurately. Zhou et al ( 32 ) introduced extension theory into the safety appraisal of existing concrete members.…”

mentioning

confidence: 99%

Recommendations for Refined Preventive Maintenance Management of Concrete Bridges in China Based on Environmental Risk Zoning

Liu

Duan³

et al. 2022

Transportation Research Record: Journal of the Transportation R

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Service environment has an important influence on the durability of concrete bridges. Environmental factors are often considered in the design stage, however, they tend to be ignored in the process of maintenance management. It is of great significance in prolonging the service life of a bridge to pay attention to the influence of the environment on the deterioration of the bridge during the preventive maintenance process. Concrete carbonation, chloride ion corrosion, sulfate corrosion, concrete cracking, concrete abrasion, and freeze–thaw damage are the main causes of decline of bridge durability. Based on these six kinds of distress, indexes of environmental zoning are proposed. For this purpose, variable weight theory is introduced into the matter-element extension model, and the comprehensive environmental risk values of various regions are calculated. The environmental risk zoning map of the concrete bridge’s location is then drawn using data visualization software (Tubiaoxiu). These maps show that the east, south, and southwest of China are the most high-risk areas for the deterioration of concrete bridges, and the validity of the results is proved by the distribution of collected bridge collapse accidents. Through the environmental risk zoning map, managers can intuitively grasp the degree of environmental risk in each region in real time. This approach could help bridge management department to implement differential management of concrete bridges in different regions, adjust bridge maintenance intervals dynamically, predict the state of bridges scientifically, and realize refined preventive maintenance management.

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Study on river health assessment based on a fuzzy matter-element extension model

Cited by 54 publications

References 19 publications

Assessment of Aquatic Ecosystem Health with Indices of Biotic Integrity (IBIs) in the Ganjiang River System, China

Assessment of Aquatic Ecosystem Health with Indices of Biotic Integrity (IBIs) in the Ganjiang River System, China

Source Analysis and Contamination Assessment of Potentially Toxic Element in Soil of Small Watershed in Mountainous Area of Southern Henan, China

Recommendations for Refined Preventive Maintenance Management of Concrete Bridges in China Based on Environmental Risk Zoning

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