CN113538033A - River basin-based economic development and energy demand analysis method and device - Google Patents
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Abstract
The invention relates to a river basin-based economic development and energy demand analysis method and a river basin-based economic development and energy demand analysis device, wherein the method comprises the following steps: acquiring night light data of a drainage basin and provinces and cities in which the drainage basin passes within a preset time period; after correcting the night light data, obtaining a watershed and a night light image of provinces and cities where the watershed is located; determining a thermodynamic diagram corresponding to the drainage basin according to the night light image, and performing economic space aggregation analysis on the thermodynamic diagram to obtain an analysis result; and determining the evolution trend of the space-time pattern of economic development and energy consumption of the drainage basin and provinces and cities thereof according to the analysis result. Through the technical scheme, the related close relation between economic development and energy consumption and river basin factors is disclosed, and a relatively objective reference basis is provided for the research of the economic pattern and the energy consumption pattern of the yellow river basin.
Description
Technical Field
The disclosure relates to the technical field of basin management, in particular to a basin-based economic development and energy demand analysis method and device.
Background
The yellow river basin is a complex huge system, consists of a river subsystem, an ecological environment subsystem and a human economy subsystem, relates to factors in the aspects of nature, economy, society, ecology, energy consumption and the like, has the relations of collaboration, competition, game and the like among the subsystems, and provides basic guarantee for solving the national major problems. The human economic subsystem is taken as an important component of the system and mainly relates to factors such as economy, three-generation, population and the like, the conventional evaluation mode is mainly based on a GDP single index, how to objectively evaluate the development condition of the spatial pattern of the system and a new method and an objective index are needed to support the development trend research of the economy.
The existing economic development space-time pattern evolution research has the problems that the caliber of statistical data is not uniform, the conversion is complex compared with price and the like, and the statistical data is generally homogeneous panel data, the spatial resolution is low, and the spatial heterogeneity of the economic development in administrative regions is difficult to express. Thus, more objective, more fine-scaled data can be used to help more fully study the spatiotemporal pattern features of economic development.
The night light data can detect the bright light emitted from the earth surface, and is an effective data source for researching human activities. The DMSP satellite sensor can acquire stable night light images from cities, towns and other places with lasting light sources, and accidental noise influences such as cloud, light and fire, oil gas combustion and the like are eliminated. The scholars at home and abroad carry out a great deal of research on the method, mainly focus on the aspects of urban spatial information extraction and expansion research, urban spatial characteristic lamplight number construction research, population density and heat island effect research, economic development condition research, electric power energy consumption research, research on influence of urbanization on ecological environment and the like, and are not applied to the fields of drainage basins and the like.
Disclosure of Invention
In order to overcome the problems in the related technology, the river basin is taken as a research object, the national strategies of river basin ecological protection and high-quality development are combined, the important role of night light data in inversion of economic space-time pattern evolution is macroscopically analyzed, the related close relation between economic development and river basin elements is disclosed, and a relatively objective reference basis is provided for the research of the economic pattern of the river basin.
According to a first aspect of the embodiments of the present disclosure, there is provided a method for analyzing economic development and energy demand based on a drainage basin, the method including:
acquiring night light data of the watershed and provinces and cities in which the watershed passes within a preset time period;
after the night light data are corrected, obtaining night light images of the watershed and provinces and cities where the watershed is located;
determining a thermodynamic diagram corresponding to the watershed according to the night light image, and performing economic space aggregation analysis on the thermodynamic diagram to obtain an analysis result;
and determining the evolution trend of the space-time pattern of the economic development and the energy consumption of the watershed and the province and city where the watershed is located according to the analysis result.
In one embodiment, preferably, the acquiring night light data of the watershed and the province thereof within a preset time period includes:
acquiring all light data by using a service type line scanning sensor carried by a national defense meteorological satellite;
performing data preprocessing on all the light data to obtain the light data at night;
in one embodiment, preferably, the night light data is subjected to a correction process, which includes:
and respectively and sequentially carrying out mutual correction processing, saturation correction processing, intra-year fusion correction processing and inter-year correction processing on the night light data.
In one embodiment, preferably, the performing the mutual correction processing and the saturation correction processing on the night light data by using the following first calculation formula includes:
DNc＝a*DN2+b*DN+c
DN, wherein DN represents the image pixel value of the night light data to be corrected; DNc denotes the corrected light image pel values.
In one embodiment, preferably, the performing of the intra-year fusion correction process on the night light data includes:
comparing and calculating pixel values of year data with data overlapping in the appearing years;
and when the pixel values corresponding to the two years are both zero, determining the pixel value of the pixel as zero, otherwise, determining the average value of the pixel values of the two years as the pixel value of the pixel.
In one embodiment, preferably, performing an inter-year correction on the night light data using the following formula comprises:
where n denotes the year of data overlap, DN(n-1，i)、DN(n，i)、DN(n+1，i)And respectively representing DN values of i pixels of the night light images after mutual correction, saturation correction and intra-year fusion correction.
In one embodiment, preferably, the trend of evolution of the spatiotemporal pattern of economic development comprises: social and economic development change trend, energy consumption space-time change and basin development index.
In one embodiment, preferably, the evaluation index of the social development trend includes at least one of:
the method comprises the following steps of standing population, urbanization rate, urban resident average domination income, urban average park green space area, GDP growth rate, urban average GDP, third industry occupation ratio, irrigation area, night light data, basin water consumption, ten thousand yuan industry added value water consumption and electricity consumption peak value space-time distribution.
According to a second aspect of embodiments of the present disclosure, there is provided a river basin-based economic development and energy demand analysis apparatus, the apparatus comprising:
the acquisition module is used for acquiring night light data of the watershed and provinces and cities in which the watershed passes within a preset time period;
the correction module is used for correcting the night light data to obtain the watershed and the night light image of province and city passing through the watershed;
the analysis module is used for determining the thermodynamic diagram corresponding to the watershed according to the night light image and performing economic space aggregation analysis on the thermodynamic diagram to obtain an analysis result;
and the determining module is used for determining the evolution trend of the space-time pattern of the economic development and the energy consumption of the watershed and the province and city thereof according to the analysis result.
According to a third aspect of embodiments of the present disclosure, there is provided a computer-readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps of the method according to any one of the embodiments of the first aspect.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
in the embodiment of the invention, the river basin is taken as a research object, and the national strategy of ecological protection and high-quality development of the river basin is combined, so that the important role of night light data in the evolution of the space-time pattern of the inversion economy is macroscopically analyzed, the related close relation between the economy development and the elements of the river basin is disclosed, and a relatively objective reference basis is provided for the research of the economy pattern and the energy consumption pattern of the river basin.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is an architecture diagram illustrating a yellow river basin megasystem in accordance with an exemplary embodiment.
FIG. 2 is a schematic diagram illustrating a watershed development evaluation index system according to an exemplary embodiment.
FIG. 3 is a flow chart illustrating a method for analyzing watershed-based economic development and energy demand according to an exemplary embodiment.
FIG. 4a is a diagram illustrating night light data prior to national correction of 1992, in accordance with an exemplary embodiment.
FIG. 4b is a diagram illustrating night light data after national correction of 1992, according to an exemplary embodiment.
Fig. 4c is a diagram illustrating a night light data image of nine provinces of the whole country and the drainage basin in 1992 according to an exemplary embodiment.
Fig. 5a is a diagram illustrating a lighting data image of nine-province nights in the country and the drainage basin in 2013 according to an exemplary embodiment.
Fig. 5b is a diagram illustrating night light data after the national correction of 2013 according to an exemplary embodiment.
Fig. 5c is a diagram illustrating the lighting data image of the nine-province night in the countryside and the drainage basin of 2013 according to an exemplary embodiment.
Fig. 6a and 6b are diagrams illustrating a comparison of the total DN values of luminance image elements before and after correction, according to an exemplary embodiment.
FIG. 7 is a 1992 nuclear density analysis diagram, shown in accordance with an illustrative embodiment.
FIG. 8a is a depiction of a Kyoho light index vs. GDP plot in 1992, according to an exemplary embodiment.
FIG. 8b is a graph illustrating a nine province light index versus GDP for the 2003 basin according to an exemplary embodiment.
FIG. 9 is a graph illustrating a comparison between a luminous index trend and a total water usage trend of the ninth province of the watershed according to an exemplary embodiment.
FIG. 10 is a diagram illustrating a comparison of a nine province night-luminous index to a national night-luminous index for a watershed, according to an exemplary embodiment.
Fig. 11 is a graph illustrating night light data of the ninth province of the watershed versus BDI watershed development index according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The present invention will be described in detail below with reference to the river basin as an example. It will be appreciated by those skilled in the art that the present invention is also applicable to any other watershed.
The yellow river is a complex huge system, and the yellow river treatment is a complex system engineering. Therefore, no matter the overall strategy and implementation scheme of yellow river management, the management strategy and engineering layout of different river reach, or the specific design and operation management of a single project, the method of the system theory and idea must be used as the overall guide in each stage of the whole life cycle of the yellow river, and the yellow river basin is used as an organic composite system to be considered comprehensively. The system management of the yellow river basin aims to maintain the basic functions of rivers, develop regional socioeconomic high quality and effectively protect three-dimensional cooperation of the ecological environment of the basin as an overall management target, and researches the overall layout of the comprehensive management of the yellow river basin and the game synergistic effect among different management measures in a multi-dimensional way.
In general, the yellow river basin system function can be considered from three aspects:
1) from the river function perspective, the yellow river is a river with complex natural conditions and extremely special river conditions, the relationship of water and sand is inconsistent, the drought wind and sand and water and soil loss disasters in upstream areas and the silt siltation and flood threats of downstream river channels seriously restrict the sustainable development of the economic society of the watershed and the related areas. In addition, the yellow river is an important water source in northwest and north China, and the development and utilization of water resources are related to national economic safety, energy safety, food safety and sustainable development of economic society in northwest and north China.
2) From the ecological environment function perspective, the yellow river basin is an ecological corridor connecting the Qinghai-Tibet plateau, the loess plateau and the North China plain, and has a plurality of national parks and national key ecological function areas such as the three-river source and the Qilian mountain. The yellow river flows through the loess plateau water and soil loss area and the five desert lands, and a plurality of wetlands are distributed along two banks of the river. The yellow river basin forms an important ecological barrier in China, and the ecological environment protection of the yellow river basin is related to the ecological safety of the basin and relevant areas.
3) From the aspect of economic development function, the yellow river basin is an important economic zone in China, the Huang-Huai-Hai plain, the Fenwei plain and the river jacket irrigation area are main agricultural product production areas, the basin land resources, the mineral resources, particularly the energy resources are quite rich, the yellow river basin occupies an extremely important position in the whole country, the total fall of an upstream river section is 3496 meters, the water energy is rich, the yellow river basin is known as an 'energy basin' in China, the yellow river basin is an important energy source, chemical engineering, raw materials and basic industrial base, and the future development potential is huge. The water energy, wind power and photovoltaic clean energy at the upstream is abundant, but the population is rare, the industry is not developed, the population at the middle and downstream is dense, the electric gap is large, the full-watershed energy can realize self-sufficiency, but the characteristic of uneven space-time distribution is presented. More importantly, the yellow river basin is a multi-national gathering area, and due to historical and natural conditions, the yellow river basin, particularly an upstream area and a downstream beach area, is relatively lagged in economic and social development. The method has the advantages that basin protection and management are actively developed, the problems of flood control, drinking water, ecology and the like which are well concerned by the public are solved, and the method has important significance for consolidating the defficiency and attack results, maintaining social stability and promoting ethnic group.
Therefore, according to the functional division of the river basin, the yellow river basin huge system can be divided into a river subsystem, an ecological environment subsystem and a human economic subsystem, and the large-scale yellow river basin has numerous related elements and complex relations, and is not only interconnected but also restricted, so that how to ensure the water safety of the yellow river basin, realize the ecological protection of the yellow river basin and simultaneously promote the high-quality development of the yellow river basin is a very complex major problem. The architecture of the yellow river basin giant system is shown in figure 1.
The river subsystem takes river regulation as a key point, and mainly relates to factors in various aspects such as flood running, water sand, water resources, water engineering and the like. The silt problem of the yellow River is rare in the world, the problem of the secondary suspended River is prominent, flood control (River Health Index) is always the primary task for controlling yellow River, and River regulation of the yellow River is a complex problem related to multiple factors. The RHI selects 6 key indexes of total annual precipitation, total water volume, flood passing capacity of a main river channel, sand coming volume, total sediment volume and water coming and sand coming co-scheduling from the perspective of a system theory and by considering three aspects of water resources, flood and silt, and calculates the river health index through an information entropy and entropy weight method.
The ecological environment subsystem takes ecological protection as a key point, the yellow river basin comprises various factors such as forests, wetlands, species, water environment, water ecology and the like, is an important ecological barrier in China, is an ecological corridor for connecting a Qinghai-Tibet plateau, a loess plateau and a North China plain, has a plurality of national parks such as a three-river source and a Qilian mountain and key ecological functional areas of the country, simultaneously the yellow river flows through a water and soil loss area of the loess plateau and a sand land of five deserts, lakes and wetlands such as a Dongping lake and a Wulian sea are distributed along two banks of the river, and the wetlands of the estuarine are biologically diverse. The ecological environment is an integral body formed by various ecosystems consisting of biological communities and non-biological natural factors. For a long time, under the combined action of natural factors and human factors, the ecological environment develops and evolves in different space-time scales. The EDI (environmental evolution Index) quantitatively researches related factors such as habitat quality, vegetation coverage, land stress, water network wetland and the like from the ecological Environment protection perspective, and is a comprehensive Index for evaluating the Development quality of the watershed ecological Environment, which is obtained based on system theory, information entropy and entropy weight analysis.
The human economic subsystem comprises various factors such as population, industry, economy, culture, energy consumption and the like, is an important problem of high-quality development of the economy of the yellow river basin, and the yellow river basin is an important economic zone in China and has a very important position in the aspects of development of the economy and the society, poverty elimination, hardness attack and the like of China. The SDI (Social Development Index) can reflect characteristics of residents in a drainage basin, measure welfare of the residents, comprehensively represent the current Development situation and growth vigor of the drainage basin economy and is indispensable content in the research of the drainage basin Social economy. From 4 angles such as population characteristics, resident living quality, economic growth level, regional industrial structure and the like, 12 socioeconomic characteristic indexes are selected, social development indexes are obtained through calculation by an information entropy and entropy weight method, and the social development evolution characteristics of the yellow river basin in nearly 40 years are quantitatively analyzed.
The RHI, the EDI and the SDI provide reference basis for representing the development quality of river subsystems, ecological environment subsystems and human economic subsystems, and are an important research part of river control decision-making theory.
In order to support the data analysis work of the mesoscopic layer and the macroscopic layer, the key work of the microscopic layer is to construct a yellow river basin giant system index system and collect index data. According to the connotation of the yellow river basin huge system and the related practices of river development evaluation at home and abroad, a basin development evaluation index system is constructed according to the requirements of ecological protection and high-quality development of the yellow river basin and is shown in figure 2.
FIG. 3 is a flow chart illustrating a method for analyzing watershed-based economic development and energy demand according to an exemplary embodiment.
An embodiment of the present invention provides a method for analyzing economic development and energy demand based on a drainage basin, as shown in fig. 3, the method includes:
step S301, obtaining night light data of the watershed and the province and city in the preset time period;
in one embodiment, preferably, the acquiring night light data of the watershed and the province thereof within a preset time period includes:
acquiring all light data by using a service type line scanning sensor carried by a national defense meteorological satellite;
performing data preprocessing on all the light data to obtain the light data at night;
step S302, after correcting the night light data, obtaining a night light image of the watershed and provinces and cities;
in one embodiment, preferably, the night light data is subjected to a correction process, which includes:
and respectively and sequentially carrying out mutual correction processing, saturation correction processing, intra-year fusion correction processing and inter-year correction processing on the night light data.
In one embodiment, preferably, the performing the mutual correction processing and the saturation correction processing on the night light data by using the following first calculation formula includes:
DNc＝a*DN2+b*DN+c (1)
DN, wherein DN represents the image pixel value of the night light data to be corrected; DNc denotes the corrected pixel values of the light image, and a, b, c denote different regression parameters. In order to ensure that a region without a light value (DN value is equal to 0) in a stable light image is consistent before and after correction, a pixel with the DN value equal to 0 is subjected to mask processing, and does not participate in the calculation of the formula (1). And (3) calculating model parameters of the quadratic regression model of the stable lamplight image through a formula (1), and performing saturation correction and mutual correction on the stable lamplight image.
In one embodiment, preferably, the performing of the intra-year fusion correction process on the night light data includes:
comparing and calculating pixel values of year data with data overlapping in the appearing years;
and when the pixel values corresponding to the two years are both zero, determining the pixel value of the pixel as zero, otherwise, determining the average value of the pixel values of the two years as the pixel value of the pixel.
And if the pixel values corresponding to the two years are both 0, the DN value of the pixel is 0, otherwise, the average value of the pixel values of the two years is taken as the value of the pixel. As shown in equation (2).
In the formula (I), the compound is shown in the specification,
respectively representing DN values of i pixels in the night light images acquired by 2 different sensors after the n-th mutual correction; DN(n，i)And (4) expressing the DN value of the i pixel in the corrected image of the nth year.
For the inter-year correction, according to the situation that the urbanization degree of China is continuously increased, it can be assumed that the bright pixel detected as the urban patch in the image of the previous year cannot disappear in the image of the next year, therefore, the bright pixel in the night light image of the previous year can be assumed, the pixel at the same position in the image of the next year still keeps the bright pixel, and the DN value of the bright pixel in the night light image of the previous year is not more than the DN value of the bright pixel at the same position in the image of the next year. When the pixel DN value in the image of the next year is equal to 0, the pixel DN at the same position in the image of the previous year should also be equal to 0; when the pixel DN value in the image of the next year is not equal to 0, the pixel DN value in the image of the previous year is not more than the pixel DN value at the same position in the image of the next year.
In one embodiment, preferably, performing an inter-year correction on the night light data using the following formula comprises:
where n denotes the year of data overlap, DN(n-1，i)、DN(n，i)、DN(n+1，i)And respectively representing DN values of i pixels of the night light images after mutual correction, saturation correction and intra-year fusion correction.
In this embodiment, since data acquired by the sensor cannot be directly used, the sensor is affected by factors such as absorption and scattering of the atmosphere, solar altitude, topographic relief, sensor calibration, and the like in the process of acquiring the surface information, so that there are differences between images of the same year acquired by different sensors, and meanwhile, no on-satellite radiation correction is performed when the images are acquired by different sensors, which causes abnormal fluctuation between pixel values at the same position between consecutive images of different years acquired by the same satellite sensor. These problems with long time series DMSP/OLS night light image datasets result in no continuity between the images acquired by multiple sensors for different years, and therefore the datasets must be mutually corrected for long time scale application studies. In addition, due to the limitation of the spectral resolution of the sensor, the pixel value of the urban central area is saturated, the pixel DN value of the stable lamplight image is 6-bit quantized, the pixel DN value range is directly determined to be 0-63, the condition that a plurality of areas in the image, particularly the DN value of the urban central area, does not rise any more to reach a saturated state after reaching 63 is caused, and the difference of the urban central area is not obvious. Therefore, the noctilucent data needs to be corrected, which mainly comprises mutual correction and saturation correction of images and continuity correction among images.
Step S303, determining a thermodynamic diagram corresponding to the watershed according to the night light image, and performing economic space aggregation analysis on the thermodynamic diagram to obtain an analysis result;
a thermodynamic map (HeatMap) is a heat map visualized by a density function to represent the density of points in the map. Emphasizing spatial position and basic spatial distribution characteristics. It enables one to perceive the density of points independently of the scaling factor. The point element kernel density analysis is used to calculate the density of point elements around each output grid element. Each point is covered with a smooth curved surface. The surface value is highest at the position of the point, the surface value is gradually reduced along with the increase of the distance from the point, the density of each output grid pixel element is the sum of the values of all the nuclear surfaces superposed at the center of the grid pixel element, namely, the place with high heat is used for indicating that the local night light is dense, and the transfer of the heat center is used for indicating the transfer of the night light dense area. The kernel function is based on a quartic kernel function.
(1) Unweighted distance calculation, as shown in equation (4):
wherein: xi, yi and zi are the coordinates of element i;
representing the mean center of the element; n equals the total number of elements.
(2) Bandwidth calculation, as shown in equation (5):
wherein: dm is the (weighted) median distance of the (weighted) mean center; n is the number of points for which the position field is not used, and if a position field is provided, n is the sum of the position field values; SD is the standard distance.
(3) The predicted density of the new (x, y) location is determined by equation (6) below:
For disti<radius
wherein: i is 1, …, n is the input point. Points in the sum only if they are within the radial distance of the (x, y) position; pop (point of Place)iA position field value of the point i, which is an optional parameter; distiIs the distance between the point i and the (x, y) position.
And S304, determining the evolution trend of the space-time pattern of the economic development and the energy consumption of the watershed and the province and city thereof according to the analysis result.
In one embodiment, preferably, the trend of the evolution of the space-time pattern of economic development and energy consumption comprises: social and economic development change trend, energy consumption space-time change and basin development index.
In one embodiment, preferably, the evaluation index of the social development trend includes at least one of:
the method comprises the following steps of standing population, urbanization rate, urban resident average domination income, urban average park green space area, GDP growth rate, urban average GDP, third industry occupation ratio, irrigation area, night light data, basin water consumption, ten thousand yuan industry added value water consumption and electricity consumption peak value space-time distribution.
For example, regarding night light data from 1992 to 2013 as an example, after processing such as mutual correction, saturation correction, intra-year fusion, inter-year correction and the like is performed on a stable light image expected to be corrected in 1992 and 2013 in 34, a 22-year time series night light image product is formed, and the range of Chinese borders (not including south Haihu island) and the range of the yellow river basin 9 province are respectively cut to obtain night light image final products of the basin and the ninth province of the basin. Due to the limited space, only the images before and after 1992 and 2013 (as shown in fig. 4a, 4b, 4c, and fig. 5a, 5b, 5 c) are shown, and the accumulated values of DN values before and after correction (as shown in fig. 6a and 6 b) are counted, it can be seen that: the night light data before correction is in a discrete type, and the continuity is effectively improved through mutual correction and saturation correction, intra-year fusion correction and inter-year correction, wherein the night light data is in a stable rising state.
As shown in fig. 7, by comparing the nuclear density analysis chart reflecting the economic space aggregation, it can be seen that: nine provinces in a drainage basin, wherein a nuclear density high-value area is concentrated on the coasts of the yellow river, the thermal strength is gradually weakened from the upstream to the downstream of the yellow river, and the nuclear density high-value area is diffused outwards by taking province cities as core areas; along with the advance of time, the high-density distribution area is continuously enlarged, which shows that the economic space is more and more densely gathered along with the increase of population and the development of economy; the medium density distribution zone is continuously expanded outwards, which shows that the economic space polymerization zone is gradually dispersed.
As shown in fig. 8a and 8b, comparing the GDP data of 9 provinces of the yellow river basin with the night light data (only the comparison graphs of 1992 and 2013 are shown due to limited space), comparing the night light data of the same year with the GDP, and showing that the variation trend of the night light data has certain similarity with the variation trend of the GDP; the noctilucence indexes of different years are compared with the change of the GDP, the display shows that along with the rapid development of economy, the city expands, the population number increases, the light data at night is greatly improved, and the data is basically consistent with the increase amplitude of the GDP.
As shown in fig. 9, the variation trend of the light data and the total water consumption data at night in the valley in 1992-: the luminous index of the river basin is in a stable rising trend, the total water consumption of the river basin slowly decreases firstly, and slowly increases year by year after the cliff type decrease occurs in 2003, and the water consumption control policy of the yellow river basin is probably related; the green land area change trend of the parks is basically similar to the township rate, the population number, the third yield ratio and the per capita park, and the green land area change trend is in a slowly rising state year by year.
As shown in fig. 10, the night light data of 9 provinces in the yellow river valley is compared and analyzed with the national light index, and it is found that the overall variation trend of the night light data of 9 provinces in the yellow river valley is substantially consistent with the variation trend of the national light index and is in a steady rising trend; however, the whole value of the night light data of the river basin 9 province is lower than that of the night light data of the whole country, which shows that the economic development of the river basin 9 province is relatively lagged, and is probably related to the shortage of water resources of the yellow river, the river basin of the yellow river has a plurality of people since ancient times and is relatively poverty, and the high-quality development of the river basin of the yellow river is imminent.
The BDI (base Development index) basin Development index is a comprehensive index for analyzing the basin Development condition, and provides a reference basis for representing the Development quality by a multi-factor system. As shown in fig. 11, by comparing the light data at night of 9 provinces of the yellow river valley with the BDI valley development index, it can be seen that the two have strong correlation, the variation trends are basically similar, and are in a steady rising trend, which indicates that the human economic activities have a great influence on the development quality of the valley.
The invention relates to application of night light data in a yellow river basin for the first time, and relatively accurate images of the national night light data are obtained through mutual correction, saturation correction, intra-year fusion and inter-year correction of the national night light data in 2013 of 1992. Through the comparison of night light data of nine provinces in the drainage basin and social development index of each province in the drainage basin and the comparative analysis of night light data of nine provinces in the country and the drainage basin, the following conclusion is obtained:
(1) in the same year, the variation trend of the light data at night has certain similarity with the variation trend of the GDP; the light data at night is greatly improved among different years and is basically consistent with the increase amplitude of GDP; and has certain correlation with the urbanization rate, the population number, the third yield ratio, the per capita park green area and the basin development index BDI.
(2) The area with high polymerization in the economic space is distributed near the river course of the yellow river, the thermal strength is gradually weakened from the upstream to the downstream of the yellow river, and the polymerization area is diffused outwards by taking the provincial city as a core area, so that the polymerization area tends to disperse towards the periphery under the condition that the polymerization degree of an old polymerization point is increased.
(3) The whole variation trend of the night light data of 9 provinces in the drainage basin is basically consistent with the variation trend of national light indexes and is in a stable rising trend; however, the whole value of the night light data of 9 provinces in the river basin is lower than that of the night light data of the whole country, and the high-quality development of the yellow river basin is imminent.
(4) The spatial and temporal distribution of human resources in the drainage basin is uneven, and the upstream water is abundant but the human is rare. The problems of dense downstream population, high energy consumption, gap in electric power, reasonable resource allocation in the river basin and sustainable development are one of the problems of realizing high-quality development in the yellow river basin.
The night light data has long-time sequence, easy acquireability and objectivity, is one of important objective indexes for objectively evaluating the economic development quality in the river basin huge system, and provides an important reference basis for objectively analyzing the river basin development quality. How to deeply dig the value of hiding the light data at night behind and better assist the reasonable allocation of watershed water resources can be used as the key point of the next research.
According to a second aspect of embodiments of the present disclosure, there is provided a river basin-based economic development and energy demand analysis apparatus, the apparatus comprising:
the acquisition module is used for acquiring night light data of the watershed and provinces and cities in which the watershed passes within a preset time period;
the correction module is used for correcting the night light data to obtain the watershed and the night light image of province and city passing through the watershed;
the analysis module is used for determining the thermodynamic diagram corresponding to the watershed according to the night light image and performing economic space aggregation analysis on the thermodynamic diagram to obtain an analysis result;
and the determining module is used for determining the evolution trend of the space-time pattern of the economic development and the energy consumption of the watershed and the province and city thereof according to the analysis result.
According to a third aspect of embodiments of the present disclosure, there is provided a computer-readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps of the method according to any one of the embodiments of the first aspect.
It is further understood that the use of "a plurality" in this disclosure means two or more, as other terms are analogous. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. The singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It will be further understood that the terms "first," "second," and the like are used to describe various information and that such information should not be limited by these terms. These terms are only used to distinguish one type of information from another and do not denote a particular order or importance. Indeed, the terms "first," "second," and the like are fully interchangeable. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure.
It is further to be understood that while operations are depicted in the drawings in a particular order, this is not to be understood as requiring that such operations be performed in the particular order shown or in serial order, or that all illustrated operations be performed, to achieve desirable results. In certain environments, multitasking and parallel processing may be advantageous.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A method for analyzing economic development and energy demand based on a drainage basin, the method comprising:
acquiring night light data of the watershed and provinces and cities in which the watershed passes within a preset time period;
after the night light data are corrected, obtaining night light images of the watershed and provinces and cities where the watershed is located;
determining a thermodynamic diagram corresponding to the watershed according to the night light image, and performing economic space aggregation analysis on the thermodynamic diagram to obtain an analysis result;
and determining the evolution trend of the space-time pattern of the economic development and the energy consumption of the watershed and the province and city where the watershed is located according to the analysis result.
2. The method of claim 1, wherein the obtaining of night light data within a preset time period between the watershed and the province where the watershed is located comprises:
acquiring all light data by using a service type line scanning sensor carried by a national defense meteorological satellite;
and carrying out data preprocessing on all the light data to obtain the light data at night.
3. The method of claim 1, wherein performing correction processing on the night light data comprises:
and respectively and sequentially carrying out mutual correction processing, saturation correction processing, intra-year fusion correction processing and inter-year correction processing on the night light data.
4. The method of claim 1, wherein performing a mutual correction process and a saturation correction process on the night light data using the following first calculation formula comprises:
DNc＝a*DN2+b*DN+c
DN, wherein DN represents the image pixel value of the night light data to be corrected; DNc denotes the corrected light image pel values.
5. The method of claim 1, wherein performing intra-year fusion correction processing on the night light data comprises:
comparing and calculating pixel values of year data with data overlapping in the appearing years;
and when the pixel values corresponding to the two years are both zero, determining the pixel value of the pixel as zero, otherwise, determining the average value of the pixel values of the two years as the pixel value of the pixel.
6. The method of claim 1, wherein performing an inter-year correction on the night light data using the following formula comprises:
where n denotes the year of data overlap, DN(n-1，i)、DN(n，i)、DN(n+1，i)And respectively representing DN values of i pixels of the night light images after mutual correction, saturation correction and intra-year fusion correction.
7. The method of claim 1, wherein the trend of evolution of the spatio-temporal pattern of economic development and energy consumption comprises: social and economic development change trend, energy consumption space-time change and basin development index.
8. The method of claim 1, wherein the evaluation index of the social developmental change tendency includes at least one of:
the method comprises the following steps of standing population, urbanization rate, urban resident average domination income, urban average park green space area, GDP growth rate, urban average GDP, third industry occupation ratio, irrigation area, night light data, basin water consumption, ten thousand yuan industry added value water consumption and electricity consumption peak value space-time distribution.
9. An analysis device for economic development and energy demand based on a drainage basin, the device comprising:
the acquisition module is used for acquiring night light data of the watershed and provinces and cities in which the watershed passes within a preset time period;
the correction module is used for correcting the night light data to obtain the watershed and the night light image of province and city passing through the watershed;
the analysis module is used for determining the thermodynamic diagram corresponding to the watershed according to the night light image and performing economic space aggregation analysis on the thermodynamic diagram to obtain an analysis result;
and the determining module is used for determining the evolution trend of the space-time pattern of the economic development and the energy consumption of the watershed and the province and city thereof according to the analysis result.
10. A computer-readable storage medium having stored thereon computer instructions, which when executed by a processor, implement the steps of the method of any one of claims 1 to 8.
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