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River water quality multidimensional influence factor weight analysis method based on social network

A technology of influencing factors and weight analysis, applied in the environmental field, can solve problems such as multi-index complex correlation, uncertainty, subjective bias error, etc., and achieve the effect of rich index system, comprehensive analysis and reasonable judgment, and strong applicability

Active Publication Date: 2022-03-22
HARBIN INST OF TECH +1
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Problems solved by technology

Another important challenge in the weight analysis of multi-dimensional influencing factors of river water quality is how to reduce the human-subjective factors in the sorting process as much as possible. At present, the combination of subjective and objective methods is adopted, supplemented by artificial comparison, but the multi-indicator complex correlation, uncertain sex, and subjective bias will bring large errors

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  • River water quality multidimensional influence factor weight analysis method based on social network
  • River water quality multidimensional influence factor weight analysis method based on social network
  • River water quality multidimensional influence factor weight analysis method based on social network

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specific Embodiment approach 1

[0045] Specific implementation mode one: refer to Figure 1 to Figure 3 This embodiment is specifically described. A social network-based method for analyzing the weight of multidimensional factors affecting river water quality described in this embodiment includes the following steps:

[0046] 1. Construct a multi-dimensional influencing factor system for river water quality

[0047] Reasonable and correct establishment of a multi-dimensional water quality influencing factor system is one of the prerequisites for the ranking of influencing index weights, and the initial selection includes multi-source and multi-type indicators. The driving indicators that make river water quality change can be divided into natural factors and socioeconomic factors. Generally speaking, the natural environmental factors that affect the change of river water quality mainly include climate indicators such as temperature and precipitation, landform soil indicators such as soil properties, and land ...

specific Embodiment

[0082] This embodiment takes the upper reaches of a certain river basin as an example for illustration, and the specific implementation process is as follows:

[0083] Establish a multi-dimensional influencing factor system for river water quality in seven categories and dozens of sub-categories, including pollution load, climate, landform and soil, human activities, land use, landscape indicators, and environmental indicators.

[0084] Taking the major category of pollution load as an example, the composition of its subcategories is shown in Table 1.

[0085] Table 1 Composition of pollution load indicators

[0086]

[0087]

[0088] In this embodiment, the point positions and collected and separated data of cross-sections in 25 areas are collected and sorted through the database of the Environmental Protection Bureau. The data of each indicator is collected through statistical bulletins and yearbooks, cloud platforms and databases.

[0089] According to the calculati...

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Abstract

The invention discloses a social network-based river water quality multi-dimensional influence factor weight analysis method, and relates to the field of environment. The method is used for carrying out objective and accurate weight analysis on multi-dimensional water quality influence factors. According to the social network-based river water quality multi-dimensional influence factor weight analysis method provided by the invention, a river water quality multi-dimensional influence factor system including seven classes, namely pollution load, climate, landform soil, human activities, land utilization, landscape indexes and environmental indexes and dozens of subclasses is constructed; a water quality multi-dimensional influence factor network model is established based on a social network by analyzing the mutual relationship among multi-dimensional influence factors, and the importance of each influence factor node is comprehensively evaluated by combining main social network features such as degree centrality, proximity centrality and feature vector centrality. Therefore, the weight analysis sorting of the multi-dimensional influence factors of the river water quality is realized.

Description

technical field [0001] The invention belongs to the field of environment, and in particular relates to river water quality analysis technology. Background technique [0002] From 2016 to 2020, the proportion data of surface water grades I-III water quality sections shows that the water environment quality has been significantly improved, but the structural, root cause and trend pressures of water ecological environment protection have not been fundamentally alleviated in general. Rivers have the functions of climate adjustment, landform shaping, water supply, power generation and other ecological environment, services, cultural entertainment, etc., and are closely related to human activities. Governance is getting more and more attention. [0003] The degree of influence of multi-dimensional influencing factors on river water quality is the basis for constructing the indicator system of the river water quality prediction model, and its weight analysis and ranking can help b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/00G06Q50/26
CPCG06Q10/06393G06Q50/01G06Q50/26Y02A20/152
Inventor 马丽娜田禹黄晓红陈星李响邹亚男
Owner HARBIN INST OF TECH
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