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A Mangrove Ecological Health Evaluation Method Based on Stacked Noise Reduction Auto-encoding Algorithm

A noise-reducing automatic coding and ecological health technology, applied in neural learning methods, computing, general water supply conservation, etc., can solve the problems of sensing and image technology that are difficult to evaluate and predict the ecological health of mangroves, and improve the prediction accuracy Effect

Active Publication Date: 2021-10-08
CHONGQING UNIV
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Problems solved by technology

However, sensing and image technology can only collect some ecological indicators of mangroves, such as water environment, sediment environment pests, pests, etc.
Therefore, sensing and image technology is difficult to accurately evaluate and predict the ecological health of mangroves

Method used

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  • A Mangrove Ecological Health Evaluation Method Based on Stacked Noise Reduction Auto-encoding Algorithm
  • A Mangrove Ecological Health Evaluation Method Based on Stacked Noise Reduction Auto-encoding Algorithm
  • A Mangrove Ecological Health Evaluation Method Based on Stacked Noise Reduction Auto-encoding Algorithm

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Embodiment 1

[0072] see Figure 1 to Figure 4 , a mangrove ecological health evaluation method based on the stacked denoising auto-encoding algorithm, which mainly includes the following steps:

[0073] 1) Determine the mangrove ecological protection area. In this embodiment, Beilun Estuary Ecological Protection Area is selected.

[0074] 2) Establish a dataset of mangrove ecological indicators.

[0075] The mangrove ecological index data information I collected by the mangrove ecological protection area in the previous 7 years using sensing and image technology is taken as the data set X. The mangrove ecological index data information I mainly includes water quality information, sediment pH, soil pH and soil particle size indicators.

[0076] The water quality information mainly includes water temperature, salinity, pH, chlorophyll, ammonia nitrogen, nitrate, nitrite, inorganic phosphorus, petroleum and chemical oxygen demand.

[0077] Some indicators that can most directly reflect th...

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Abstract

The invention provides a mangrove ecological health evaluation method based on a stacked noise reduction automatic coding algorithm, which mainly includes the following steps: 1) determining a mangrove ecological protection area. 2) Establish a dataset of mangrove ecological indicators. 3) Preprocess the data set X and data set Y. Remember that the data set X is normalized to the data set R 1 . 4) Use the stacked denoising auto-encoding algorithm to train the data in the dataset X. 5) Establish a prediction model for mangrove ecological indicators. 6) Using the mangrove ecological index prediction model, the linear training set S and the mangrove ecological health evaluation grade judgment table to predict the future ecological health status of the mangroves in the mangrove ecological protection area. The present invention utilizes these predicted important ecological indicators, combined with the mangrove ecological health evaluation grade judgment table, and finally realizes accurate prediction of the mangrove ecological health status.

Description

technical field [0001] The invention relates to a data mining technology and a deep learning method, in particular to a mangrove ecological health evaluation method based on a stacking noise reduction automatic coding algorithm. Background technique [0002] Mangroves are woody plant communities that grow in the intertidal zone of tropical and subtropical coasts and are periodically submerged by seawater. It plays an irreplaceable function in purifying pollution and protecting wetland diversity. The coast of Guangxi is an important mangrove distribution area in mainland China. The mainland coastline is 1490km long, and the mangrove area is the second largest in the country. It is the province with the largest mangrove distribution area per unit coastline length. There are 3 mangrove nature reserves in Guangxi (Shankou National Nature Reserve in Hepu, Guangxi, Beilun River Estuary National Nature Reserve in Fangchenggang, Guangxi, and Maoweihai Provincial Nature Reserve in Q...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q50/26G06N3/04G06N3/08
CPCG06N3/088G06Q10/0639G06Q50/26G06N3/045Y02A20/152
Inventor 王楷熊庆宇梁山姚政陆旺余星朱奇武刘通
Owner CHONGQING UNIV
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