119 results about "Emission inventory" patented technology

Provided is a calculating method for dynamically establishing port and vessel air pollutant emission lists. A port emission module (including a cargo storage and shipment submodule, a port operation facility submodule, a collecting and distributing submodule and a database), a vessel emission module (including a cruising submodule, a berthing and departing submodule, an operation and construction submodule and a database), an operation scene (including an emission reduction strategy) dynamic combining module and a data base are included. The calculating method is used for calculating single and superposed accumulated emission lists for air pollutants (mainly PM2.5, NOx, SOx, VOCs, CO, CO2 and the like) which has general characteristics and are emitted by coastal or inland vessels entering, leaving and passing through ports through cruising, berthing and departing and / or operation, and facilities for port cargo loading, unloading, storage, transporting, collecting and distributing in identical or similar time and space in different working conditions and modes, reliable data support is provided for port and vessel energy conservation and emission reduction schemes of related departments, and design and strategies of structure adjustment and mode transformation green traffic development planning of the ports, and the goals of air pollution prevention, carbon emission control, port air quality improvement and weather climate changing handling are achieved.

A WRF-CHEM-based large point pollution source atmosphere environment influence evaluating method comprises the following steps: acquiring meteorology data and landform data, arranging a simulation area, and preprocessing the meteorology data and the landform data; selecting different parameterization scheme combinations having large influences on simulation, and designing a contrast experiment scheme; acquiring artificial source discharge and natural source discharge lists, and carrying out space, time, discharge height and species division and other pretreatments; running a WRF-CHEM model, and comparing simulation results of the different parameterization scheme combinations with observation data to obtain an optimum simulation scheme; processing large point pollution source discharge data, adding the processed large point pollution source discharge data to the model under the optimum simulation scheme, and running the WRF-CHEM; comparing the large point pollution source considered simulation result with the result under the optimum simulation scheme, and evaluating the degree and range of influences of the large point pollution source on circumferential atmosphere environment; and visually displaying the simulation result, and providing management decision basis for environment influence evaluating reports.

A method for calculating the greenhouse gas (GHG) emissions, energy efficiency, and natural resource requirements of a biofuel production system, using a life cycle assessment of biofuel production from the creation of material inputs to finished products, and producing a GHG emissions inventory from fossil fuels and a few key non-fossil fuel GHG emissions in the production life cycle.

The invention provides a pollution source prediction method, a pollution source prediction device and electronic equipment, and relates to the technical field of pollution prediction, which comprisesthe following steps of: obtaining mesoscale meteorological prediction data and emission list data of a to-be-predicted destination; Wherein emissions and emission sources corresponding to the emissions are recorded in the emission list data; according to the Industry type, combining the emission sources to obtain reference emission data, inputting the mesoscale meteorological prediction data and the reference emission data into an air quality numerical model to obtain air pollution prediction data, and calculating the air pollution refined prediction contribution rate according to emission list data and the air pollution prediction data. The calculation amount of the air quality numerical model can be reduced, and the calculation speed is increased.

The invention discloses an inversion estimation method for an atmospheric pollutant emission list. The method comprises the following steps: acquiring initial pollution source emission data of a research area; based on the initial pollution source emission data, obtaining an upper limit and a lower limit of emission of the to-be-inverted area; carrying out grid division on the research area basedon GIS, and distributing the initial pollution source emission data to the divided network to obtain a grid emission list file suitable for the meteorological-air quality model system; based on the simulation result of meteorological simulation of the research area and the networked emission list file, establishing a meteorological-air quality model to obtain a source emission-receptor concentration relationship; and constructing a pollution source emission list optimization model through a linear programming method based on the source emission-receptor concentration relationship, the upper and lower limits of emission of the to-be-inverted area and the air quality monitoring data. According to the method, the limitations of statistical data hysteresis, multiple simulation iterations and the like can be eliminated, one-time numerical simulation is carried out, inversion of the pollutant emission list of the research area is realized through a linear programming method, and the emissionlist establishment process is simplified.

The invention discloses a method for establishing a non-exhaust-pipe particulate matter emission inventory of a road moving source, which comprises the following steps: S10, measuring traffic flow of a road section to be measured and vehicle speeds V according to vehicle types; S20, calculating a particulate matter emission factor correction coefficient ST (V) of the vehicle speeds of vehicles on tire wear of the vehicles; S30, calculating a particulate matter emission factor correction coefficient SB (V) of the vehicle speeds of the vehicles on brake wear; S40, calculating a tire wear particulate matter emission factor after the vehicle speeds are corrected, a brake wear particulate matter emission factor after the vehicle speeds are corrected and a pavement wear particulate matter emission factor after the vehicle speeds are corrected; S50, calculating a non-exhaust-pipe particulate matter emission load of the road moving source. The method for establishing the non-exhaust-pipe particulate matter emission inventory of the road moving source, which is disclosed by the invention, can accurately reflect time and space variation of the non-exhaust-pipe particulate matter emission of the road moving source.

The invention provides a forestry carbon accounting method based on an ecological process model. The forestry carbon accounting method based on the ecological process model comprises the following steps of S1, determining a plant physiological parameter, S2, setting a spatial interpolation, S3, building a forestry carbon accounting model, S4, building an interference module, and S5, determining a model initial state. According to the forestry carbon accounting method based on the ecological process model, the interference module is provided for simulation of land use changes and felling, dynamic changes of forest carbon cycles of the Szechwan province and influence caused by different interferences can be truly reflected, simulation is more accurate, rapid and accurate compilation of greenhouse gas emission inventories relevant to forestry of different levels of China and provinces, and the compilation process is perfect, and meets the international requirements.

The embodiment of the invention discloses an atmospheric pollution source analysis method and device, electronic equipment and a storage medium. The atmospheric pollution source analysis method comprises the following steps: dividing each source class in an emission list of an area into sub-source classes; simulating the emission and diffusion processes of sub-source classes in each source class in an emission list of an area by using a CALPUFF model to obtain a pollution contribution ratio of each sub-source class of the area to a receptor point; carrying out source analysis of a CMB model onthe region by utilizing the source component spectrum and the receptor component data to obtain pollution contribution proportions of various sources of the region; and coupling the pollution contribution ratio of each sub-source class to the receptor point obtained by simulation of the CALPUFF model with the pollution contribution ratio of each sub-source class of the region obtained by the CMBmodel, and establishing a refined source analysis result.

The invention discloses an emission inventory processing method of a city-scale high-resolution model based on a SMOKE model, which comprises the following steps: S1, acquiring emission inventory data; S2, generating a template according to the data requirements of the SMOKE model; S3, converting the template generated in the step S2 to the format required by the SMOKE mode; S4: consolidation of combing of multiple emission inventory files; 5, establishing an administrative division code file; S6: correction of the use of the CMAQ model in inland areas requiring the mandatory provision of waveemission documents; S7, generating a KML tag file of point source emission data; S8, creating a SMOKE model run script that matches the urban emission inventory and merging it into the four-dimensional X-Y-Z-T emissions NetCDF format emission data. The invention can meet various scientific research and business requirements based on air quality model, such as pollution source analysis, control measure assessment, environmental impact assessment and the like.

The invention relates to a rapid tracing method for sudden water pollution of a drainage basin. The method comprises the following steps: obtaining the distribution of a potential pollution source area of a water pollution source; monitoring water quality components in the potential pollution source area; pollutants exceeding the highest allowable discharge concentration of the comprehensive sewage discharge standard or higher than three times of background values are selected as composition characteristic pollution factors; building a traceability model; calculating a risk sensitive area of the polluted water flow source probability in real time; and counting the pollutant concentration in the risk sensitive area and the contribution of each industry to the pollutant concentration in a drain outlet discharge list. According to the method, the water pollutant concentration of the drainage basin and the contribution of each pollution discharge point in the list to the pollutant concentration of the risk area of the drainage basin can be accurately simulated, the water environment quality of the drainage basin can be effectively monitored, the problem of excessive pollution dischargeof a key pollution discharge port is solved, the calculated amount is small, and a traceability result can be quickly obtained.

The invention discloses an EnKF-based ground emission list inversion optimization method. The method comprises the steps of constructing an EnKF list inversion system and coupling the EnKF list inversion system to WRF-CMAQ mode system; applying the list after inversion every day to the current day mode forecast again to provide an initial field for ensemble forecast in inversion of the next day, and using the average of the inversion lists of multiple days as a final optimized list; evaluating list area change and uncertainty; and carrying out long-time forecasting on the optimized list in theassimilation time period, comparing the optimized list with the original list forecast, and evaluating the improvement effect of the optimized list on the forecast. According to the method, the ensemble inversion assimilation system is constructed through the EnKF method to optimize the SO2, NOX and PM2.5 emission lists at the same time, so that the emission error is effectively corrected, and the mode prediction is improved.

The invention discloses a deviation correction method and device for an atmospheric pollution source emission list, and a storage medium. The method comprises the following steps: dividing a target region into a plurality of areas; calculating the average relative deviation of the atmospheric pollutant concentration of each area based on the atmospheric pollutant data of each area in the preset historical time period; acquiring the mutual contribution rate of the atmospheric pollutant concentration between the areas; acquiring atmospheric pollution source emission list system deviation of eacharea based on the average relative deviation and the mutual contribution rate; and correcting the original atmospheric pollution source emission list of each area by utilizing the atmospheric pollution source emission list system deviation. According to the method, the atmospheric pollution source emission list system deviation of each area is calculated based on the average relative deviation and the mutual contribution rate, the original atmospheric pollution source emission list of each area is corrected, the influence of the mutual contribution rate is considered, and the correction result is more accurate, so that the model prediction accuracy is improved.

The embodiment of the invention provides an air pollutant emission inventory space allocation method and a device based on a POI (Point of interest). Mesh dividing is carried out on a target area ready for the air pollutant space allocation. As for each mesh, POIs of corresponding pollution sources are counted; an allocation parameter of a pollutant in the area of the mesh is obtained through calculation of the POI, and the pollutants in the area of the mesh are calculated according to the allocation parameters. Compared with the traditional pollutant allocation method, due to the accuracy, the timeliness, the easy acquisition and the information richness of the POI data, a POI-based method is adopted to obtain pollutant allocation, reasonable space allocation can be carried out on non-point source pollution, and an air pollutant emission inventory with higher accuracy can be obtained.

The invention provides a method and device for evaluating effects of smoke pollutant discharge of a power plant on regional atmospheric haze. The method and device are used to evaluate the effects of the pollutant discharge of the power plant to be built on the regional atmospheric haze. The method comprises the steps that basic information of the power plant to be built is determined according to a typical power plant database which is established in advance; according to the determined basic information of the power plant to be built as well as data of a selected discharge model database, a discharge list is determined; a weather initial field is determined according to regional geographic data and a WRF-CHEM model; data of atmospheric pollutants, such as traces, diffusion and sedimentation concentrations and diffusion scopes, is determined according to the discharge list and the weather initial field; and evaluation results are generated according to GIS geographic information and the data of the atmospheric pollutants, such as the traces, diffusion and sedimentation concentrations and diffusion scopes.

The invention provides a technical method for quantitatively evaluating measurement and calculation of a correlation between an urban form and carbon emission based on Landsat TM (Thematic Mapper) and ETM (Enhanced Thematic Mapper) images. The method comprises the main steps of: 1, calculating urban energy consumption carbon emission based on an IPCC (Intergovernmental Panel on Climate Change) greenhouse gas emission inventory compilation method and various types of energy statistic data; 2, based on the Landsat TM and ETM images, quantitatively calculating urban form indexes by use of ENVI (Environment for Visualizing Images) / IDL (Interactive Data Language) 5.1 software and ArcGIS (Geographic Information System) 10.1 (ERSI) software; and 3, quantitatively calculating the correlation between the urban form-related indexes and carbon emission by use of an econometric model. The technical method is systematic, comprehensive and operable, and can provide an overall, objective and scientific optimized decision and regulation-control basis for urban spatial structure optimization.

The invention discloses a three-dimensional space-time distribution processing method and device for air pollutant emission lists of thermal power plants and belongs to the field of pollutant emission lists and air pollution abatement. The method comprises the following steps of: obtaining an emission list of air pollutants in thermal power plants; distributing time to the emission list of air pollutants in the thermal power plants to obtain a monthly distribution coefficient, a daily distribution coefficient and a hourly distribution coefficient of air pollutants in the thermal power plants; distributing the national annual emissions of air pollutants in the thermal power plants to the provinces based on the amount of burned coal and the amount of power generation, and then using a spatial analysis tool to interpolate to the grids of an air quality model; distributing the emission amount of the air pollutants of the thermal power plants in each layer of atmospheric boundary layers, and obtaining a three-dimensional grid emission list of the air pollutants in the national thermal power plants after performing time and space distribution on the emission list of the air pollutants in the thermal power plants. The method and device can establish a three-dimensional grid air pollutant emission list of thermal power plants in China.

The invention discloses a rainfall runoff pollution load measuring and calculating method based on remote sensing interpretation and rainfall experiments, and belongs to the field of pollution load measuring and calculating. The method comprises the following steps: designing a rainfall runoff pollutant total load accounting formula to collect and process basic data; carrying out remote sensing interpretation; performing localized rainfall runoff simulation through a rainfall observation experiment; collecting and analyzing the concentration of runoff pollutants; performing pollution load measurement and analysis; a high-spatial-resolution pollutant discharge list of a research area is constructed, runoff pollution sources and pollution load information are accurately grasped, and a basis is provided for accurate pollution control engineering of the research area and sponge city construction.

The invention discloses a quantitative method for judging the influence of meteorological and source emission changes on air quality, and aims to solve the problem that the existing method cannot judge the improvement effect of meteorological changes and pollution source emission changes on air quality. The method comprises the following specific steps: acquiring a reference source emission list to obtain emission data; simulating emission data of different meteorological conditions by adopting a three-dimensional air quality model, so that the influence of different meteorological conditionson the concentration under the same emission scene is compared, and verifying the estimation result of the model on the meteorological favorable degrees in different periods by using measured data; and determining actual concentration change by using the measured data, and comparing the concentration change rate caused by meteorological condition change with the measured concentration change rateto obtain the concentration change rate caused by source emission change. The contribution of meteorological conditions and emission changes to pollutant concentration changes can be quantified, and the method has important significance in determining pollution causes and making pollution prevention and control plans.

The invention discloses a motor vehicle emission list measuring and calculating method and device based on an MOVES model. The method comprises the following steps: acquiring a local basic data set; carrying out localization processing on the MOVES model according to the local basic data set, and correcting basic emission factors in the MOVES model to obtain corrected motor vehicle emission factors, so as to establish a multi-dimensional motor vehicle emission factor database; acquiring activity level data of different geographic areas in different time periods so as to obtain a traffic information database, and acquiring meteorological data of different geographic areas in different time periods; and according to the multi-dimensional motor vehicle emission factor database, the traffic information database and the meteorological data, measuring and calculating the motor vehicle emission amount in real time by using a multi-dimensional motor vehicle emission measurement and calculation method. According to the method and the device, a more accurate high-resolution motor vehicle emission list can be established, and the influence of factors and conditions such as different speeds and different weather under different time and space on motor vehicle emission can be dealt with.

The invention discloses a dynamic decision-making method and device for ozone pollution prevention and control. According to the method and the device, an ozone pollution prevention and control dynamic decision-making technical route of monitoring and early warning, ozone source analysis, decision-making evaluation and standard reaching and performance is realized. And establishing a measure library according to the emission list, and continuously evaluating and optimizing the measure library through the effect of scene simulation. The local list and the regional list are fused to realize refined and quick source tracing of ozone and precursors thereof; multi-dimensional comprehensive source analysis of models, observations and lists is realized, and key emission areas and key pollution industries are accurately judged; and quick evaluation and dynamic optimization of ozone pollution standard reaching planning are realized. By means of three-dimensional monitoring, emission lists, numerical simulation, emergency emission reduction technologies and the like, ozone pollution sources are subjected to multi-dimensional analysis, source contributions of local areas, surrounding areas and pollution industries are quantitatively analyzed, and key causes of urban ozone pollution are recognized.

The invention provides an air quality standard analysis method and device, electronic equipment and a storage medium. The method comprises the steps of acquiring annual meteorological data, an emission list of a reference year, an air quality target and planning measure information corresponding to the air quality target in the preset years of a target area; generating a climate average field according to the annual meteorological data in the preset years; simulating the pollutant concentration of a target year according to a climatic average field, the planning measure information and an emission list of the reference year; and determining whether the pollutant concentration of the target year reaches the air quality target or not. According to the method, an average climatic field is used as a climatic background field of the target year to simulate the pollutant concentration of the target year, the average climatic field balances the inter-year difference of weather, the accuracy of the simulated pollutant concentration of the target year is improved, the influence of meteorological factors on evaluating the target accessibility of air quality is weakened, and the accuracy of the accessibility analysis of the air quality target is higher.

The invention relates to a technical method for compiling emission inventory of non-road mobile machinery based on the workbench of mechanical equipment, specifically, the invention discloses an air pollutant emission calculation method of non-road moving machinery based on the workbench of mechanical equipment, namely, the calculation formula of the main air pollutant emission of certain non-roadmoving machinery is as follows: E = Sigma j Sigma k (8 * Tj, k * Gj, k * LFj, k * EFj, k) * 10 -6; Where E is the emissions of NOx, CO, HC, PM10 and PM2.5 from certain types of non-road moving machinery, in tonnes; J is the power section; K is the emission phase; T is the number of workbench shifts of non-road mobile mechanical equipment, and the unit is the workbench shift; G is the averagerated power in kw; LF is the load factor; EF is the pollutant emission factor in g / (kw . h). This method can improve the availability of parameters such as mechanical equipment usage and activity level, and effectively reduce the uncertainty of inventory results based on fuel consumption data or retention data.

The invention provides a bottom-up-based urban motor vehicle emission list compilation technical method. The method comprises the steps that urban road data and vehicle data are acquired; according tothe urban road data, spatial grid division and cutting are carried out on the urban road to obtain length data of each road under each grid; space-time prediction of vehicle flow is carried out; missing value distribution processing is carried out on the roads without traffic flow according to the vehicle missing situation, traffic flow data of all the roads are obtained, and matching of the roads and the traffic flow is completed; and the grid source emission data information is output into an emission list in a netCDF-I / O API format file. The invention further provides a system applying themethod. Real-time road network traffic flow information and a bottom-to-top emission load algorithm are combined to carry out space distribution on motor vehicle pollution emission load. The accuracyof the motor vehicle emission source list is greatly improved, the emission condition of actual road traffic is reflected in real time, and the output netCDF-I / O API format file can be used for inputting an air quality model, so that the air quality prediction accuracy is improved.

The invention provides a greenhouse gas emission analysis method and system based on satellite remote sensing data, and the method comprises the steps: building a low-resolution emission list which comprises the greenhouse gas emissions of a plurality of low-resolution geographic space units in different time periods; extracting and processing multi-source meteorological data and remote sensing data; modeling the space-time heterogeneity relationship between the low-resolution emission list and the multi-source weather and remote sensing data, namely, correspondingly forming a fitting data setaccording to the low-resolution emission list by taking a plurality of weather factor variables and night light numerical values of each space-time position as space distribution factors, and modeling at each space-time position; and then carrying out high-resolution emission list construction and emission list space-time heterogeneity evolution rule analysis. According to the method, the spatialresolution of the emission list is improved, meanwhile, the goodness and precision of greenhouse gas emission list simulation and space distribution are effectively improved, and the greenhouse gas emission level and the space-time evolution rule of the greenhouse gas emission level are truly reflected.

The invention provides a method for determining a PM2.5 primary pollution source in urban atmosphere and relates to the technical field of environmental protection and the prevention and control of atmospheric pollution. The method comprises the following steps: firstly, determining a primary pollutant (NOx, SO2 and volatile organic compounds VOCs) controlling the production of ozone according to continuous monitoring data within an urban region range (such as a national control monitoring site); secondly, the determining the primary pollutant giving the greatest contribution to the production of PM2.5; and finally, determining the primary pollution source of the atmospheric pollution in an urban area according to a discharging list of to-be-controlled primary pollutants. The method is simple, convenient, rapid and reliable.

The invention provides a carbon dioxide flux inversion method and system, thereby solving problems that an existing method and system are poor in generalization performance and not suitable for GMI loads. The method comprises the following steps: acquiring GMI data, performing carbon dioxide column concentration inversion to obtain a carbon dioxide average column concentration observation value, and performing height interpolation to obtain a carbon dioxide profile observation value; simulating a regional atmospheric land carbon flux exchange mode based on an RAMS-CMAQ simulation model; and performing calculating by taking the carbon dioxide average column concentration simulation value as an observation operator and taking the sum of carbon dioxide fluxes in an emission list of the RAMS-CMAQ model as a priori value of the carbon dioxide fluxes and adopting an integrated four-dimensional variation assimilation method to obtain a carbon dioxide flux assimilation value and a carbon dioxide column concentration assimilation value. The system uses the method. According to the invention, the carbon dioxide flux is calculated by applying the GMI load.

The invention discloses an atmospheric pollution source emission list processing method and device, equipment and a storage medium. The processing method of the atmospheric pollution source emission list comprises the following steps: acquiring the atmospheric pollution source emission list; converting the atmospheric pollution source emission list into a format file corresponding to a forecasting mode; and inputting the formatted file obtained by conversion into a corresponding forecasting mode for processing to obtain a processing result. According to the processing method for the emission list of the atmospheric pollution source provided by the embodiment of the invention, the emission list is automatically converted into the formatted file corresponding to each forecasting mode, and the formatted file is input into the corresponding forecasting mode to be processed to obtain the processing result, so offline manual operation is completely not needed, automatic butt joint and interaction of the emission list and the forecasting mode are realized, the manual labor amount is greatly reduced, the processing efficiency is improved, and the real-time utilization rate of the local emission list in the atmospheric pollution source emission list and the verification of the list data quality are realized.

The invention discloses an unmanned aerial vehicle system and method for estimating industrial area PM elevated straight row source intensity, and belongs to the field of atmospheric pollution control. The system comprises a carrier unmanned aerial vehicle, a PM detection device, a positioning device, a communication device, a movable meteorological station, a ground station, a task planning module, a sensor calibration module and a data analysis module. When the unmanned aerial vehicle works, the sensor calibration module is used for calibrating a PM sensor, and the task planning module is used for planing a flight mode; the unmanned aerial vehicle executes the flight mode, PM data, unmanned aerial vehicle position information and meteorological data are collected and together imported into a data processing system, and the PM elevated straight row source intensity is calculated through the data processing system. The system can estimate the industrial area PM elevated straight row source intensity, and the system has the advantages of being high in automation degree and precision, easy to operate and the like and can provide important data support and reference bases for atmospheric pollutant source analysis, emission inventory making, environmental enforcement, environmental monitoring and the like.

The invention discloses a construction method of a vehicle emission list. The method comprises the steps of obtaining driving data; constructing a basic emission factor based on the driving data; acquiring a corresponding fuel standard based on the driving data and the emission list using year; correcting the basic emission factor based on the driving data and the fuel oil standard to obtain a corrected emission factor; and constructing an emission list based on the corrected emission factor and the driving data. A basic construction emission factor is constructed by acquiring specific drivingdata, and the basic construction emission factor is corrected through a fuel standard, so that an accurate driving emission list with high temporal-spatial resolution is constructed.

The invention provides an allocation method and system for an atmospheric non-point source emission list. The allocation method comprises the following steps: firstly, collecting atmospheric non-pointsource emission list data, weight raster data, an administrative map and a time spectrum data file for a researched area; performing grid division operation on the administrative map, and loading theweight grid data to the gridded administrative map to obtain new weight grid data; performing de-unitization operation on the new weight raster data, and performing gridding calculation on the weightraster data and the atmospheric non-point source emission data to obtain gridding pollutant emission amount and complete space allocation operation; performing pollutant discharge distribution in different time periods by utilizing various time distribution coefficients in the time spectrum file and the gridding discharge after space distribution to finish time distribution operation; compiling aNetCDF file by utilizing the time-space information parameters and the gridding emission data; and finally, the manufactured NetCDF gridding data can be used for the input of an air quality model andthe visual operation of the NetCDF.