CN111724035A - High-score multi-source data-based monitoring method for disaster state of water resources of boundary river - Google Patents
High-score multi-source data-based monitoring method for disaster state of water resources of boundary river Download PDFInfo
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- CN111724035A CN111724035A CN202010426652.7A CN202010426652A CN111724035A CN 111724035 A CN111724035 A CN 111724035A CN 202010426652 A CN202010426652 A CN 202010426652A CN 111724035 A CN111724035 A CN 111724035A
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Abstract
The invention discloses a high-score multi-source data-based monitoring method for disaster states of water resources in a border river, which comprises the following steps: the method comprises the following steps: acquiring sample data corresponding to a boundary river; step two: preprocessing data; step three: inverting the inland water quality parameters; step four: establishing a ground meteorological satellite cloud picture processing system; step five: monitoring rainfall, radiation and evaporation capacity; step six: updating data in real time; step seven: and monitoring the state of the river resources in real time. This boundary river water resource disaster state monitoring method based on high score multisource data, the monitoring that combines the water resource based on high score satellite carries out the comprehensive analysis of water resource through multisource data, can guarantee the accuracy of monitoring, avoids leaking and lacks, can carry out real-time analysis simultaneously, is favorable to guaranteeing that the suggestion carries out the calamity early warning, is favorable to guaranteeing in time to react, reduces the loss.
Description
Technical Field
The invention relates to the technical field of monitoring of water resources of a boundary river, in particular to a monitoring method for disaster states of water resources of the boundary river based on high-score multi-source data.
Background
The boundary river is generally positioned at the junction of two bottom cushions, the water quantity of the boundary river is generally large, the boundary river plays a non-negligible role in utilizing water resources, meanwhile, due to the large water quantity, the water quantity of the boundary river can be increased or reduced rapidly when the weather condition and the geological condition change, and due to the influence of the modern society on unreasonable development of resources and environmental pollution, monitoring on the state of the water resources of the boundary river is indispensable for ensuring the normal utilization of the water resources;
under the prior art, most of the water quality monitoring methods are only established for monitoring the water quantity, but the monitoring methods are not beneficial to ensuring the overall monitoring of the water body and cannot ensure the accuracy of detection, so that a method for monitoring the disaster state of the water resource of the boundary river based on high-score multi-source data is provided, and the problem provided in the method is solved conveniently.
Disclosure of Invention
The invention aims to provide a method for monitoring the disaster state of a water resource of a boundary river based on high-score multi-source data, which aims to solve the problems that most of the prior art is only used for monitoring the water quantity by establishing monitoring, but the prior art is not beneficial to ensuring the monitoring of the whole water body and cannot ensure the accuracy of detection.
In order to achieve the purpose, the invention provides the following technical scheme: a method for monitoring the disaster state of a water resource of a boundary river based on high-score multi-source data comprises the following steps:
the method comprises the following steps: acquiring sample data corresponding to a boundary river;
step two: preprocessing data;
step three: inverting the inland water quality parameters;
step four: establishing a ground meteorological satellite cloud picture processing system;
step five: monitoring rainfall, radiation and evaporation capacity;
step six: updating data in real time;
step seven: and monitoring the state of the river resources in real time.
Preferably, the sample data in the step comprises field investigation data, high-grade translation data, actually measured spectrum data of the water surface, inherent optical quantity data of the water body and optical remote sensing data.
Preferably, the preprocessing of the data in the second step includes the following steps:
step 1: radiation correction;
step 2: geometric correction;
and step 3: performing land and water boundary to obtain water body mask image data;
and 4, step 4: atmospheric correction is carried out to obtain remote sensing reflectivity image data;
and 5: identifying the water bloom of the aquatic weeds to obtain a water bloom classification chart of the aquatic weeds;
step 6: and (5) comprehensively analyzing spectral characteristics.
Preferably, the inland water quality parameters in the inversion in the third step are calculated by using a water quality parameter inversion algorithm, the water quality parameter inversion algorithm mainly comprises a traditional inversion strategy, a hard classification inversion strategy and a soft classification inversion strategy, and each inversion strategy needs to test the applicability of a typical water quality parameter inversion method.
Preferably, the water surface spectrum data set obtained by the water body experiment is compared with the water quality parameter concentration inversion result of each strategy, and the optimal inversion strategy, inversion method and steps and parameters thereof, such as a water quality parameter inversion algorithm based on the water surface actual measurement spectrum and a comprehensive optimal inversion algorithm based on the water quality parameter inversion strategy of the optical remote sensing data, are determined.
Preferably, the step four of establishing the ground meteorological satellite cloud picture processing system means that cloud picture data are received in real time based on the ground meteorological satellite cloud picture, the received data are identified and screened, and effective data are selected for storage;
and meanwhile, a meteorological satellite cloud picture processing system is established, geometric correction and format conversion processing are carried out on the cloud picture information, and formed multi-channel satellite cloud picture data and images are stored in a corresponding cloud picture database.
Preferably, in the fifth step, the rainfall difference between ground rainfall stations is calculated by using the relation between the cloud top temperature and the pixel point rainfall;
meanwhile, evaporation monitoring is carried out based on air temperature mapping data arrangement, atmosphere correction analysis and calculation of radiation and sensible heat flux.
Preferably, the sixth step is to update the ground monitoring data and the high-resolution satellite monitoring data in real time and monitor parameters in real time.
Preferably, the real-time monitoring of the state in the seventh step refers to comprehensively analyzing the water quality and the water quantity by combining with a preset threshold, and performing alarm processing in advance when the water quality and the water quantity parameter is closer to the threshold.
Compared with the prior art, the invention has the beneficial effects that: this boundary river water resource disaster state monitoring method based on high score multisource data, the monitoring that combines the water resource based on high score satellite carries out the comprehensive analysis of water resource through multisource data, can guarantee the accuracy of monitoring, avoids leaking and lacks, can carry out real-time analysis simultaneously, is favorable to guaranteeing that the suggestion carries out the calamity early warning, is favorable to guaranteeing in time to react, reduces the loss.
Drawings
FIG. 1 is a schematic view of a status monitoring process according to 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.
Referring to fig. 1, the present invention provides a technical solution: a method for monitoring the disaster state of a boundary river water resource based on high-score multi-source data comprises the following steps:
the method comprises the following steps: acquiring sample data corresponding to a boundary river;
step two: preprocessing data;
step three: inverting the inland water quality parameters;
step four: establishing a ground meteorological satellite cloud picture processing system;
step five: monitoring rainfall, radiation and evaporation capacity;
step six: updating data in real time;
step seven: and monitoring the state of the river resources in real time.
Further, the sample data in the step comprises field investigation data, high-grade translation data, actually measured spectrum data of the water surface, inherent optical quantity data of the water body and optical remote sensing data.
Further, the preprocessing of the data in the step two comprises the following steps:
step 1: radiation correction;
step 2: geometric correction;
and step 3: performing land and water boundary to obtain water body mask image data;
and 4, step 4: atmospheric correction is carried out to obtain remote sensing reflectivity image data;
and 5: identifying the water bloom of the aquatic weeds to obtain a water bloom classification chart of the aquatic weeds;
step 6: and (5) comprehensively analyzing spectral characteristics.
Furthermore, the inland water quality parameters in the inversion in the third step are calculated by using a water quality parameter inversion algorithm, the water quality parameter inversion algorithm mainly comprises a traditional inversion strategy, a hard classification inversion strategy and a soft classification inversion strategy, and the applicability of a typical water quality parameter inversion method needs to be checked in each inversion strategy.
Furthermore, the water surface spectrum data set obtained by a water body experiment is compared with the water quality parameter concentration inversion result of each strategy, and the optimal inversion strategy, inversion method and steps and parameters thereof, such as a water quality parameter inversion algorithm based on the water surface actual measurement spectrum and a comprehensive optimal inversion algorithm based on the water quality parameter inversion strategy of the optical remote sensing data, are determined, so that the accuracy of the water quality parameters is ensured.
Further, the step four of establishing the ground meteorological satellite cloud picture processing system means that cloud picture data are received in real time based on the ground meteorological satellite cloud picture, the received data are identified and screened, and effective data are selected for storage; meanwhile, a meteorological satellite cloud picture processing system is established, geometric correction and format conversion processing are carried out on cloud picture information, formed multi-channel satellite cloud picture data and images are stored in a corresponding cloud picture database, information combination is facilitated, and accurate analysis on river resources is guaranteed.
Further, in the fifth step, the rainfall difference between ground rainfall stations is calculated by utilizing the relation between the cloud top temperature and the pixel point rainfall; meanwhile, evaporation monitoring is carried out based on air temperature mapping data sorting, atmosphere correction analysis and calculation of radiation and sensible heat flux, so that the analysis of water resources is facilitated by combining external regulation such as rainfall, evapotranspiration and the like, and the accuracy is ensured.
Furthermore, the ground monitoring data and the high-resolution satellite monitoring data are updated in real time in the sixth step, and real-time parameter monitoring is carried out, so that real-time monitoring can be guaranteed, and the situations except the situation can be avoided.
Further, the real-time monitoring of the state in the step seven means that analysis of water quantity and water quality is comprehensively performed by combining a preset threshold value, and when the water quantity and water quality parameter is closer to the threshold value, alarm processing is performed in advance, so that early warning prompt is guaranteed, and loss is reduced.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and all the changes or substitutions should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (9)
1. A method for monitoring the disaster state of a boundary river water resource based on high-score multi-source data is characterized by comprising the following steps: the monitoring method comprises the following steps:
the method comprises the following steps: acquiring sample data corresponding to a boundary river;
step two: preprocessing data;
step three: inverting the inland water quality parameters;
step four: establishing a ground meteorological satellite cloud picture processing system;
step five: monitoring rainfall, radiation and evaporation capacity;
step six: updating data in real time;
step seven: and monitoring the state of the river resources in real time.
2. The method for monitoring the disaster state of the water resources of the junctional river based on the high-score multi-source data according to claim 1, is characterized in that: the sample data in the step comprises field investigation data, high-grade translation data, actually measured spectrum data of the water surface, inherent optical quantity data of the water body and optical remote sensing data.
3. The method for monitoring the disaster state of the water resources of the junctional river based on the high-score multi-source data according to claim 1, is characterized in that: the preprocessing of the data in the second step comprises the following steps:
step 1: radiation correction;
step 2: geometric correction;
and step 3: performing land and water boundary to obtain water body mask image data;
and 4, step 4: atmospheric correction is carried out to obtain remote sensing reflectivity image data;
and 5: identifying the water bloom of the aquatic weeds to obtain a water bloom classification chart of the aquatic weeds;
step 6: and (5) comprehensively analyzing spectral characteristics.
4. The method for monitoring the disaster state of the water resources of the junctional river based on the high-score multi-source data according to claim 1, is characterized in that: and in the third step, the inland water quality parameter is calculated by using a water quality parameter inversion algorithm, the water quality parameter inversion algorithm mainly comprises a traditional inversion strategy, a hard classification inversion strategy and a soft classification inversion strategy, and the applicability of a typical water quality parameter inversion method needs to be checked in each inversion strategy.
5. The method for monitoring the disaster state of the water resources of the junctional river based on the high-score multi-source data according to claim 4, wherein the method comprises the following steps: and comparing the water surface spectrum data set obtained by the water body experiment with the water quality parameter concentration inversion result of each strategy to determine the optimal inversion strategy, inversion method and steps and parameters thereof, such as a water quality parameter inversion algorithm based on the water surface actual measurement spectrum and a comprehensive optimal inversion algorithm based on the water quality parameter inversion strategy of the optical remote sensing data.
6. The method for monitoring the disaster state of the water resources of the junctional river based on the high-score multi-source data according to claim 1, is characterized in that: establishing a ground meteorological satellite cloud picture processing system in the fourth step means that cloud picture data are received in real time based on the ground meteorological satellite cloud picture, the received data are identified and screened, and effective data are selected for storage;
and meanwhile, a meteorological satellite cloud picture processing system is established, geometric correction and format conversion processing are carried out on the cloud picture information, and formed multi-channel satellite cloud picture data and images are stored in a corresponding cloud picture database.
7. The method for monitoring the disaster state of the water resources of the junctional river based on the high-score multi-source data according to claim 1, is characterized in that: in the fifth step, the rainfall difference between ground rainfall stations is calculated by utilizing the relation between the cloud top temperature and the pixel point rainfall;
meanwhile, evaporation monitoring is carried out based on air temperature mapping data arrangement, atmosphere correction analysis and calculation of radiation and sensible heat flux.
8. The method for monitoring the disaster state of the water resources of the junctional river based on the high-score multi-source data according to claim 1, is characterized in that: and step six, updating the ground monitoring data and the high-resolution satellite monitoring data in real time and monitoring parameters in real time.
9. The method for monitoring the disaster state of the water resources of the junctional river based on the high-score multi-source data according to claim 1, is characterized in that: and the real-time state monitoring in the seventh step refers to comprehensively analyzing the water quantity and the water quality by combining with a preset threshold value, and carrying out alarm processing in advance when the water quantity and the water quality parameters are closer to the threshold value.
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| CN109540257A (en) * | 2018-11-08 | 2019-03-29 | 青海中水数易信息科技有限责任公司 | A kind of virtual ground Hydrologic monitoring station |
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| CN110865040A (en) * | 2019-11-29 | 2020-03-06 | 深圳航天智慧城市系统技术研究院有限公司 | Sky-ground integrated hyperspectral water quality monitoring and analyzing method |
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Patent Citations (5)
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| CN105261016A (en) * | 2015-10-14 | 2016-01-20 | 成都信息工程大学 | Method for estimating and inverting rainfall of plateau region by using satellite cloud pictures |
| CN109540257A (en) * | 2018-11-08 | 2019-03-29 | 青海中水数易信息科技有限责任公司 | A kind of virtual ground Hydrologic monitoring station |
| CN110456016A (en) * | 2019-07-30 | 2019-11-15 | 苏州雷蓝遥感科技有限公司 | A kind of water pollution multi-source remote sensing monitoring method based on Internet of Things |
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Application publication date: 20200929 |