CN114926022A - Ecological safety pattern construction method based on ecological environment space big data - Google Patents

Ecological safety pattern construction method based on ecological environment space big data Download PDF

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Publication number
CN114926022A
CN114926022A CN202210551989.XA CN202210551989A CN114926022A CN 114926022 A CN114926022 A CN 114926022A CN 202210551989 A CN202210551989 A CN 202210551989A CN 114926022 A CN114926022 A CN 114926022A
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ecological environment
data
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ecological
safety
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朱翔
王永利
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Hui Gu Artificial Intelligence Studies Institute Nanjing co Ltd
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Hui Gu Artificial Intelligence Studies Institute Nanjing co Ltd
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Abstract

The invention discloses an ecological safety pattern construction method based on ecological environment space big data, which comprises the following steps: s1, establishing an ecological environment space big data system; s2, selecting a pattern to construct a target area; s3, acquiring ecological environment data of the target area, recording the ecological environment data of the target area, and forming a target area ecological environment database in the ecological environment space big data system; s4, calculating and analyzing ecological environment data of the target area; s5, publishing the calculation analysis result of the ecological environment data of the target area; s6, analyzing the reasons influencing the ecological environment safety; s7, making a rectification plan for the reasons influencing the ecological environment safety; s8, predicting potential safety hazards existing in the ecological environment of the target area; the ecological safety pattern is established by the construction method of the ecological safety pattern, historical data of the ecological environment of the target area can be displayed, and future changes of the ecological environment of the target area and potential safety hazards which may exist are predicted.

Description

Ecological safety pattern construction method based on ecological environment space big data
Technical Field
The invention relates to the technical field of ecological environment, in particular to an ecological safety pattern construction method based on ecological environment space big data.
Background
The ecological safety is a safety concept proposed along with ecological deterioration and increasingly serious environmental problems, and can reveal the interrelation between the ecological environment of a country or a region and the social economic development to a certain extent, so that whether the condition of the ecological environment of the country or the region threatens the social economic development or not and whether the phenomenon of incoordination occurs between the ecological environment and the social economic development or not is shown; according to the theory and the relevant measures, the change of the ecological environment can be monitored, and the stability of national or regional socioeconomic performance is ensured. As the most basic safety requirement of human survival and development, ecological safety not only provides a priority task for ecological civilization construction, but also is an important basis for ecological civilization construction and sustainable development.
The ecological safety pattern is beneficial to solving the contradiction between the current economic development and the ecological environment protection, and the effective management of the ecological environment is realized, so that the progress of human survival and civilized development is not slowed down or interrupted. But no ecological security pattern construction method with high feasibility is available at present.
Disclosure of Invention
The invention aims to solve the problems and provide an ecological safety pattern construction method based on ecological environment space big data.
The invention realizes the aim through the following technical scheme, and an ecological security pattern construction method based on ecological environment space big data comprises the following steps:
step S1, establishing a big data system of ecological environment space;
step S2, selecting patterns to construct a target area, and marking the target area in the ecological environment space big data system;
step S3, acquiring ecological environment data of the target area, recording the ecological environment data of the target area, and forming a target area ecological environment database in the ecological environment space big data system;
step S4, calculating ecological environment data of the analysis target area;
step S5, publishing the calculation analysis result of the ecological environment data of the target area, and performing data highlighting identification on the data influencing the ecological environment safety;
step S6, analyzing the reasons influencing the ecological environment safety;
step S7, making a rectification plan for the reasons affecting the ecological environment safety;
and step S8, predicting potential safety hazards existing in the ecological environment of the target area, and proposing avoidance suggestions aiming at the predicted potential safety hazards.
Preferably, in step S2, the target area is not less than one.
Preferably, in step S3, the ecological environment data of the target area includes water resource data, land resource data, biological resource data and climate resource data.
Preferably, in step S3, the ecological environment data of the target area includes historical data and current data, wherein the historical data is acquired by performing transcription statistics on ecological environment records of the target area in a historical time period, and the current data is acquired by performing a current stage of site survey on the target area to acquire the current data.
Preferably, in step S4, the calculation and analysis of the ecological environment data of the target area includes analysis of historical evolution data of the ecological environment of the target area, and the evolution rule of the ecological environment of the target area is obtained by analyzing the historical evolution data of the ecological environment of the target area.
The beneficial effects of the invention are:
(1) through the establishment of an ecological environment space big data system, at least one target area is selected from the ecological environment space big data system, the current ecological environment data of the target area is analyzed and compared by combining the evolution data of the ecological environment of the target area and the historical data of the ecological environment, the future change of the ecological environment of the target area and the existence of ecological environment safety hidden danger are predicted, and a rectification plan is made for the ecological environment safety of the target area according to the analysis and comparison result;
(2) the ecological safety pattern is established by the construction method of the ecological safety pattern, historical data of the ecological environment of the target area can be displayed, and future changes of the ecological environment of the target area and potential safety hazards which may exist are predicted.
Drawings
FIG. 1 is a schematic diagram of the construction method of the ecological security pattern of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1:
as shown in fig. 1, in this embodiment, a method for constructing an ecological security pattern based on ecological environment space big data includes the following steps:
step S1, establishing an ecological environment space big data system;
step S2, selecting a pattern to construct a target area, and identifying the target area in the ecological environment space big data system, wherein the number of the target areas is not less than one;
step S3, acquiring ecological environment data of a target area, recording the ecological environment data of the target area, and forming a target area ecological environment database in an ecological environment space big data system, wherein the ecological environment data of the target area comprises water resource data, land resource data, biological resource data and climate resource data, and the ecological environment data of the target area comprises historical data and current data, the historical data acquisition method comprises the steps of copying and counting ecological environment recording data of a historical time period of the target area to acquire the historical data, and the current data acquisition method comprises the steps of performing site survey on the target area at the current stage to acquire the current data;
step S4, calculating and analyzing the ecological environment data of the target area, wherein the ecological environment data of the target area includes the analysis of the historical evolution data of the ecological environment of the target area, and the evolution law of the ecological environment of the target area is obtained by analyzing the historical evolution data of the ecological environment of the target area;
step S5, publishing the calculation analysis result of the ecological environment data of the target area, and performing data highlighting identification on the data influencing the ecological environment safety;
step S6, analyzing the reasons affecting the ecological environment safety;
step S7, making a rectification plan for the reasons affecting the ecological environment safety;
step S8, predicting potential safety hazards existing in the ecological environment of the target area, and proposing avoidance suggestions aiming at the predicted potential safety hazards;
it should be noted that the ecological environment space big data system is provided with an ecological environment data calculation module, an ecological environment data calculation result analysis comparison module, an ecological environment data analysis result display module and an ecological environment potential safety hazard prediction module.
In the embodiment, through the establishment of the ecological environment space big data system, at least one target area is selected from the ecological environment space big data system, ecological environment historical data and ecological environment current data of the target area are obtained through multiple ways, the current ecological environment data of the target area are analyzed and compared by combining evolution data of the ecological environment of the target area and the ecological environment historical data, an analysis comparison result is displayed, the future ecological environment change of the target area and whether ecological environment potential safety hazards exist or not are predicted, a reform plan is made for the ecological environment safety of the target area according to the analysis comparison result, and then a feasibility report is made by a worker according to the reform plan.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present specification describes embodiments, not every embodiment includes only a single embodiment, and such description is for clarity purposes only, and it is to be understood that all embodiments may be combined as appropriate by one of ordinary skill in the art to form other embodiments as will be apparent to those of skill in the art from the description herein.

Claims (5)

1. An ecological security pattern construction method based on ecological environment space big data is characterized by comprising the following steps:
step S1, establishing a big data system of ecological environment space;
step S2, selecting patterns to construct a target area, and marking the target area in the ecological environment space big data system;
step S3, acquiring ecological environment data of the target area, recording the ecological environment data of the target area, and forming a target area ecological environment database in the ecological environment space big data system;
step S4, calculating ecological environment data of the analysis target area;
step S5, publishing the calculation analysis result of the ecological environment data of the target area, and performing data highlighting identification on the data influencing the ecological environment safety;
step S6, analyzing the reasons affecting the ecological environment safety;
step S7, making a rectification plan for the reasons affecting the ecological environment safety;
and step S8, predicting the potential safety hazard existing in the ecological environment of the target area, and proposing avoidance suggestions according to the predicted potential safety hazard.
2. The ecological security pattern construction method based on the ecological environment space big data as claimed in claim 1, characterized in that: in step S2, the target area is not less than one.
3. The ecological security pattern construction method based on the ecological environment space big data as claimed in claim 1, characterized in that: in step S3, the ecological environment data of the target area includes water resource data, land resource data, biological resource data, and climate resource data.
4. The construction method of the ecological safety pattern based on the ecological environment space big data according to claim 1, characterized in that: in step S3, the ecological environment data of the target area includes historical data and current data, wherein the historical data obtaining method includes copying and counting ecological environment record data of the target area in a historical time period to obtain the historical data, and the current data obtaining method includes performing on-site survey on the target area at the present stage to obtain the current data.
5. The construction method of the ecological safety pattern based on the ecological environment space big data according to claim 1, characterized in that: in step S4, the calculation and analysis of the ecological environment data of the target area includes analysis of historical evolution data of the ecological environment of the target area, and the evolution law of the ecological environment of the target area is obtained by analyzing the historical evolution data of the ecological environment of the target area.
CN202210551989.XA 2022-05-20 2022-05-20 Ecological safety pattern construction method based on ecological environment space big data Pending CN114926022A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116739133A (en) * 2023-03-20 2023-09-12 北京师范大学 Regional reed NDVI pattern simulation prediction method based on natural-social dual-drive analysis

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Publication number Priority date Publication date Assignee Title
CN101201927A (en) * 2006-12-14 2008-06-18 中国科学院东北地理与农业生态研究所 Dynamic evaluation and partition early warning system for region land deterioration
RU2017116218A (en) * 2017-05-11 2018-11-14 Федеральное государственное бюджетное образовательное учреждение высшего образования "Государственный университет по землеустройству" METHOD FOR INTEGRATED ENVIRONMENTAL MONITORING
CN109785215A (en) * 2019-03-05 2019-05-21 重庆工商大学融智学院 A kind of Ecological safety pattern's construction method based on ecological environment space big data
CN113139745A (en) * 2021-05-13 2021-07-20 生态环境部南京环境科学研究所 Ecological damage influence assessment method
CN113255961A (en) * 2021-04-16 2021-08-13 长江水利委员会长江科学院 Lake water environment monitoring site optimized layout method based on time sequence multi-source spectrum remote sensing data

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101201927A (en) * 2006-12-14 2008-06-18 中国科学院东北地理与农业生态研究所 Dynamic evaluation and partition early warning system for region land deterioration
RU2017116218A (en) * 2017-05-11 2018-11-14 Федеральное государственное бюджетное образовательное учреждение высшего образования "Государственный университет по землеустройству" METHOD FOR INTEGRATED ENVIRONMENTAL MONITORING
CN109785215A (en) * 2019-03-05 2019-05-21 重庆工商大学融智学院 A kind of Ecological safety pattern's construction method based on ecological environment space big data
CN113255961A (en) * 2021-04-16 2021-08-13 长江水利委员会长江科学院 Lake water environment monitoring site optimized layout method based on time sequence multi-source spectrum remote sensing data
CN113139745A (en) * 2021-05-13 2021-07-20 生态环境部南京环境科学研究所 Ecological damage influence assessment method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116739133A (en) * 2023-03-20 2023-09-12 北京师范大学 Regional reed NDVI pattern simulation prediction method based on natural-social dual-drive analysis
CN116739133B (en) * 2023-03-20 2024-06-04 北京师范大学 Regional reed NDVI pattern simulation prediction method based on natural-social dual-drive analysis

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