scholarly journals Aquatic ecosystem health assessment of a typical sub-basin of the Liao River based on entropy weights and a fuzzy comprehensive evaluation method

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Jiabo Chen ◽  
Yanjie Wang ◽  
Fayun Li ◽  
Zicheng Liu
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Aquatic Ecosystem ◽  
Quality Index ◽  
Ecosystem Health ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Comprehensive Evaluation Method

Abstract 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.

The Application of Fuzzy Comprehensive Evaluation Method in Non-Point Pollution on Wetland Water Environmental Impact

2012 ◽  
Vol 518-523 ◽  
pp. 4948-4952 ◽  
Author(s):  
Yi Bin Ren ◽  
Ji Guang Li ◽  
Nan Qi Ren ◽  
Xiao Kun Li
Keyword(s):  
Water Quality ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Songhua River ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Quality Planning ◽  
Comprehensive Evaluation Method ◽  
Wetland Water ◽  
Point Pollution

To clear the agricultural non-point source effects on wetland water environment and the purification efficiency of wetland on non-point pollution. Use the fuzzy comprehensive evaluation method to analyze the water quality conditions of three different urban wetland of Harbin in north shore of Songhua river which affected by human Agriculture activities. Selected Wanbao wetland goose island and sun island water quality monitoring, monitoring time was in October 2004, May 2005, August 2005, and April 2008, a total of four times. The results shown that Wanbao wetland meets water quality planning V water, Goose Island and the sun island meets quality planning IV water. According to fuzzy coefficient can compare the three places wetland water pollution by heavy degree to light for Wanbao wetland > Sun island wetland > Goose island wetland. From upstream to downstream water purification by wetlands, water quality gradually improved.

The Evaluation of the Water Quality of Shenwo Reservoir Based on Fuzzy Comprehensive Evaluation Method

2012 ◽  
Vol 594-597 ◽  
pp. 2061-2065
Author(s):  
Dan Liu ◽  
Na Hu ◽  
Han Yong Liu ◽  
An Gong
Keyword(s):  
Water Quality ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Quality Data ◽  
River Section ◽  
Water Quality Data ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Comprehensive Evaluation Method

The water of Shenwo reservoir has been seriously polluted. In order to avoid the inaccurate evaluation results of a single index, the variable fuzzy comprehensive evaluation method has been adopted to comprehensively evaluate the water quality of Shenwo reservoir based on the water quality data of Lan River section of Shenwo reservoir in 2011. The evaluation results have shown that the water quality of Shenwo reservoir belongs to grade Ⅳ, which tends to be grade Ⅲ. The evaluation results based on this approach will be more stable and reliable.

scholarly journals A water quality assessment model for Suya Lake Reservoir

2020 ◽  
Vol 20 (8) ◽  
pp. 3715-3721
Author(s):  
Xiaolei Ji ◽  
Xin Wang ◽  
Guoping Yang
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Evaluation Method ◽  
Cold Water ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Water Quality Assessment ◽  
Assessment Model ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Comprehensive Evaluation Method

Abstract Reasonable water quality assessment of reservoirs plays an important part in strengthening water source management. Based on the monitoring data on the water quality in Suya Lake Reservoir provided by water quality environmental monitoring agencies, this paper selected typical water quality indexes such as dissolved oxygen, permanganate (CODMn), ammonia nitrogen (NH3-N), total phosphorus (TP) and total nitrogen (TN) as the water quality assessment factors, and applied the fuzzy comprehensive evaluation method to assess the quality of water in the Suya Lake Reservoir on the basis of single factor assessment. The result shows that the fuzzy comprehensive evaluation method can accurately quantify the fuzzy assessment of water quality. The main pollution factors in Suya Lake Reservoir are TP and TN, and pollution mainly occurs in the waters on the west bank of the reservoir (between the Cold Water River and the Lianjiang River), with the Huangxi River and its inlet being the most seriously polluted. This study provides some reference for the improvement to the water quality assessment model and scientific basis for the prevention and control of water environment pollution in the reservoir area.

Improved Fuzzy Equilibrium Average Type Comprehensive Evaluation Method in the Application of Water Quality Evaluation

2013 ◽  
Vol 779-780 ◽  
pp. 1619-1622 ◽  
Author(s):  
Jun Pan ◽  
Bo Yao Li ◽  
Ming Cen Jiang
Keyword(s):  
Water Quality ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Evaluation Process ◽  
Fuzzy Comprehensive Evaluation ◽  
Water Quality Evaluation ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Comprehensive Evaluation Method

In order to improve the traditional fuzzy comprehensive evaluation model of main factors, the paper used the shortage of the outstanding balance average type instead of traditional fuzzy comprehensive evaluation method in the evaluation process and takes big or small algorithm, this method to avoid maximum membership principle may cause information loss, more objective quantitative determination of water quality class. This paper Liaozhong waterfront city underground water quality testing data as the basis, an improved fuzzy comprehensive evaluation method to evaluate, the result is due to the area of iron and manganese from groundwater seriously overweight cause groundwater quality grade V. Show that the method of water quality evaluation, the result more objective and accurate.

scholarly journals Evaluation of Aquaculture Water Quality Based on Improved Fuzzy Comprehensive Evaluation Method

Water ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1019
Author(s):  
Guodong You ◽  
Bin Xu ◽  
Honglin Su ◽  
Shang Zhang ◽  
Jinming Pan ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Water Quality Evaluation ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Comprehensive Evaluation Method ◽  
Aquaculture Water

The quality of aquaculture waters is directly related to water management and aquaculture efficiency, which puts forward higher requirements for water quality evaluation. Based on the consideration of the influence of temporal and spatial changes on the water quality, this paper proposed an improved fuzzy comprehensive evaluation method for aquaculture water quality evaluation. Specifically, constructing a new membership function in the first place, and then selecting dissolved oxygen, pH, temperature and ammonia nitrogen content as water quality indexes for aquaculture, after that, collecting 60 sets of water quality index for different seasons in the past three years, finally, evaluating the water quality of Yangjiabo Aquaculture Base. Meanwhile, comparing it with the evaluation results of the single factor evaluation method and the traditional fuzzy evaluation method. The results show that the water quality of the Yangjiabo Aquaculture Base is at the worst level in winter, and the water quality has improved significantly in spring, summer and autumn. Compared with the other two method, the improved method can comprehensively reflect the changes in water quality with time and space, which is more practical, and so it can be considered to provide a scientific basis for efficient aquaculture and water quality classification.

Water Quality Assessment Based on Fuzzy Comprehensive Evaluation and Confidence Criteria

2012 ◽  
Vol 550-553 ◽  
pp. 2600-2603 ◽  
Author(s):  
Ben Lin Dai ◽  
Fei Hu Mu ◽  
Ning Xu ◽  
Yu Long He
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Water Quality Assessment ◽  
Water Area ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Comprehensive Evaluation Method ◽  
Water Quality Classification

Considering that the limits with determined water quality classification using maximum degree criteria in traditional fuzzy comprehensive evaluation method, a improved fuzzy comprehensive evaluation method for water quality assessment is established based on confidence criteria. The method can effectively avoid the problems that include the water quality unclear classification and the unreasonable result, etc. Finally, the water quality of Chaping River is taken as a case study and the assessment results show that the sections in Chaping River water area can be described into 3 “category Ⅰ”, 5 “category Ⅱ” and 2 “category Ⅲ” states in 2008.

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