A river course clustering method based on algal bloom outbreak

A clustering method and river channel technology, applied in the field of clustering, can solve problems such as lack of research

Active Publication Date: 2019-01-25
HOHAI UNIV
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Problems solved by technology

[0003] At present, research on the mechanism of algal blooms in rivers is mainly focused on a single river. For rivers with different characteristics in different regions, whether there are clusters, whether there are similar algal bloom risks and mechanisms, and even prevention and control measures, there is a lack of research

Method used

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  • A river course clustering method based on algal bloom outbreak
  • A river course clustering method based on algal bloom outbreak
  • A river course clustering method based on algal bloom outbreak

Examples

Experimental program
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Embodiment 1

[0160] Taking many tributaries of a large river-type reservoir as an example, the steps of river clustering based on algal bloom outbreak are as follows:

[0161] 1. Establish an indicator system for algal blooms in rivers

[0162] The index system of algal bloom outbreak in river course is as follows: figure 2 As shown, including the first-level index layer and the second-level index layer;

[0163] The first-level indicator layer includes river channel form indicators, water body dynamic indicators, water body physical and chemical factor indicators, water body optical indicators and water body nutrition indicators, a total of 5 first-level indicators;

[0164] The secondary index layer is composed of secondary indicators. The channel shape indicators include length indicators, area indicators and meandering degree indicators. The water body dynamic indicators include water level indicators, flow velocity indicators, and water body vertical stability coefficient indicators...

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Abstract

The invention discloses a river course clustering method based on algal bloom outbreak, which comprises the following steps: establishing a river course algal bloom outbreak index system; determiningthe index weight of the system; calculating index scores; and performing river course clustering. The river course algal bloom outbreak indexes are comprehensively considered, including the river course form, water body power, water body physical and chemical factors, water body optics, and water body nutritional indexes, the river course algal bloom outbreak index system is established, and the subjective and objective comprehensive weighting method is used to determine the weight of each index, and finally the system clustering method is used for river course clustering, so as to classify river courses of different regions and different characteristics, knowing the general law of river course algal bloom outbreak, and providing an effective technical management tool for algal bloom riskprediction and algal bloom prevention and control.

Description

technical field [0001] The invention relates to a clustering method, in particular to a river channel clustering method based on algal blooms. Background technique [0002] With the development of society and frequent human activities, great changes have taken place in the ecological environment of river courses, and different degrees of algal blooms have aroused social concern. The outbreak of algal bloom is the response of the aquatic ecosystem to the eutrophication of the water body. The outbreak of algal bloom directly destroys the ecological landscape of the water area, endangers the survival and development of living organisms in the ecological environment of the water area, and even threatens human health. In order to study the mechanism of algal blooms in rivers, environmental scholars have conducted research on river channel morphology, hydrodynamic characteristics of river water, water temperature, nutrient salt characteristics, dominant species, etc., and found th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/26G06F16/29G06F16/2458
CPCG06Q10/0639G06Q50/26
Inventor 李一平赖秋英黄亚男郭辉
Owner HOHAI UNIV
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