scholarly journals Applying a projection pursuit model for evaluation of ecological quality in Jiangxi Province, China

2021 ◽  
Vol 133 ◽  
pp. 108414
Author(s):  
Xihuang Ouyang ◽  
Junbang Wang ◽  
Xing Chen ◽  
Xuanlan Zhao ◽  
Hui Ye ◽  
...  
Keyword(s):  
Projection Pursuit ◽  
Jiangxi Province ◽  
Ecological Quality ◽  
Projection Pursuit Model

Water Quality Assessment on Fujiang River of China Using Projection Pursuit Model

2011 ◽  
Vol 204-210 ◽  
pp. 1326-1329
Author(s):  
Ben Lin Dai ◽  
Yu Long He ◽  
Jin Rong ◽  
Xiao Hui Jiang
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Projection Pursuit ◽  
Water Quality Assessment ◽  
Comparison Results ◽  
Volatile Phenol ◽  
Status Assessment ◽  
Water Quality Status ◽  
Projection Pursuit Model ◽  
Quality Status

Due to the increasingly serious water quality degradation on river, the study on river water quality status assessment has attracted more and more attention of the researchers and decision-makers. In this paper, water quality assessment of Fujiang River from January 2005 to December 2005 was studied by projection pursuit model (PPM). The water quality status of Fujiang River was assessed by the use of 10 monitoring sections, with DO, CODMn, BOD5, NH3-N, Petroleum, and Volatile phenol indicators. Based on the PPM analysis procedures, the assessed sections are described into 1 “category 1”, 4 “category 2” and 5 “category 3” states in 2005. The relative comparison results show that water quality status spatial order of Fujiang River from bad to good is: Fj09<Fj02< Fj10<Fj07< Fj03<Fj05<Fj04< Fj06<Fj08<Fj01.

scholarly journals Identify and Assess Hydropower Project’s Multidimensional Social Impacts with Rough Set and Projection Pursuit Model

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hui An ◽  
Wenjing Yang ◽  
Jin Huang ◽  
Ai Huang ◽  
Zhongchi Wan ◽  
...  
Keyword(s):  
Rough Set ◽  
Index System ◽  
Social Impact ◽  
Projection Pursuit ◽  
Cultural Development ◽  
Evaluation Index System ◽  
Assessment Model ◽  
Evaluation Index ◽  
The Social ◽  
Projection Pursuit Model

To realize the coordinated and sustainable development of hydropower projects and regional society, comprehensively evaluating hydropower projects’ influence is critical. Usually, hydropower project development has an impact on environmental geology and social and regional cultural development. Based on comprehensive consideration of complicated geological conditions, fragile ecological environment, resettlement of reservoir area, and other factors of future hydropower development in each country, we have constructed a comprehensive evaluation index system of hydropower projects, including 4 first-level indicators of social economy, environment, safety, and fairness, which contain 26 second-level indicators. To solve the problem that existing models cannot evaluate dynamic nonlinear optimization, a projection pursuit model is constructed by using rough set reduction theory to simplify the index. Then, an accelerated genetic algorithm based on real number coding is used to solve the model and empirical study is carried out with the Y hydropower station as a sample. The evaluation results show that the evaluation index system and assessment model constructed in our paper effectively reduce the subjectivity of index weight. Applying our model to the social impact assessment (SIA) of related international hydropower projects can not only comprehensively analyze the social impact of hydropower projects but also identify important social influencing factors and effectively analyze the social impact level of each dimension. Furthermore, SIA assessment can be conducive to project decision-making, avoiding social risks and social stability.

scholarly journals Quantifying the contribution of flood intensity indicators with the projection pursuit model

2017 ◽  
Vol 49 (1) ◽  
pp. 60-71 ◽  
Author(s):  
Lina Wang ◽  
Yanqing Lian ◽  
Xiaohong Chen
Keyword(s):  
Southern China ◽  
Projection Pursuit ◽  
Flood Events ◽  
Flood Duration ◽  
Flood Discharge ◽  
Wujiang River ◽  
Flood Volume ◽  
Projection Pursuit Model ◽  
Flood Intensity ◽  
Peak Flood

Abstract Identifying the various factors that affect the intensity of a flood event, such as its duration and volume, is essential for strategic planning and flood management. Further, quantifying the impacts of these major factors on flood intensity using the contribution rate is essential, but technically challenging. In this study, the authors have adopted the projection pursuit model to quantify the contribution rates of peak flood stage and peak flood discharge, flood duration, and total flood volume (the maximum 12-, 24-, and 72-hour flood volumes) in the Wujiang River in Southern China. This study showed that peak flood discharge and total flood volume were the two dominant factors impacting flood intensity. Although flood duration can be a major factor for some flood events, it contributed the least to flood intensity for most of the historic flood events studied. Likewise, the maximum 24-hour and 72-hour flood volumes contributed little to flood intensity. Findings from this study not only demonstrated the successful adoption of the projection pursuit model for contribution rates, but also provided critical information for planning and managing the regional hydraulic resources in the Wujiang River.

Comprehensive Evaluation of Sludge Treatment Schemes Based on Projection Pursuit Model

2014 ◽  
Vol 889-890 ◽  
pp. 1604-1608
Author(s):  
Gong Gao
Keyword(s):  
Comprehensive Evaluation ◽  
Projection Pursuit ◽  
Urban Rivers ◽  
Sludge Treatment ◽  
Evaluation Indexes ◽  
The Public ◽  
New Ideas ◽  
Projection Pursuit Model ◽  
Government Benefits ◽  
Selection Of

To explore new ideas for treating sludge in the urban rivers, 4 different sludge treatment schemes were proposed, the construction safety, projection duration, enthusiasm of the public, environmental coordination, resource utilization, supporting of government, benefits, and project cost of the schemes were selected as the main evaluation indexes, and the projection pursuit model was introduced to evaluate the schemes comprehensively. Results showed that: the evaluation and selection of sludge treatment schemes conformed to the calculation requirements of the projection pursuit model; S3 was the optimal sludge treatment scheme with best comprehensive benefits, the projection value of which was recorded as 1.198, much more than that of other treatments. Therefore, it was concluded that using sludge to produce brick (S3) was more appropriate for the sludge treatment in urban rivers, and which depended on the wide market of bricks and had good practical benefits. The study achievements could provide beneficial basis for the river management and the sludge treatment in cities, and also provide the practical basis for the application of statistical models on the selection of project schemes.

scholarly journals Decision-Making of Irrigation Scheme for Soybeans in the Huaibei Plain Based on Grey Entropy Weight and Grey Relation–Projection Pursuit

Entropy ◽  
2019 ◽  
Vol 21 (9) ◽  
pp. 877 ◽  
Author(s):  
Yi Cui ◽  
Shangming Jiang ◽  
Juliang Jin ◽  
Ping Feng ◽  
Shaowei Ning
Keyword(s):  
Decision Making ◽  
Water Consumption ◽  
Projection Pursuit ◽  
Crop Water ◽  
Irrigation Scheme ◽  
Entropy Weight ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Projection Pursuit Model ◽  
Grey Relation

To provide a scientific reference for formulating an effective soybean irrigation schedule in the Huaibei Plain, potted water deficit experiments with nine alternative irrigation schemes during the 2015 and 2016 seasons were conducted. An irrigation scheme decision-making index system was established from the aspects of crop water consumption, crop growth process and crop water use efficiency. Moreover, a grey entropy weight method and a grey relation–projection pursuit model were proposed to calculate the weight of each decision-making index. Then, nine alternative schemes were sorted according to the comprehensive grey relation degree of each scheme in the two seasons. The results showed that, when using the entropy weight method or projection pursuit model to determine index weight, it was more direct and effective to obtain the corresponding entropy value or projection eigenvalue according to the sequence of the actual study object. The decision-making results from the perspective of actual soybean growth responses at each stage for various irrigation schemes were mostly consistent in 2015 and 2016. Specifically, for an integrated target of lower water consumption and stable biomass yields, the scheme with moderate-deficit irrigation at the soybean branching stage or seedling stage and adequate irrigation at the flowering-podding and seed filling stages is relatively optimal.

Sign in / Sign up

Export Citation Format

Share Document