EISSA is an Emission Inventory Support System for inventorying and mapping all relevant emissions caused by major sources to Air at a geographically detailed manner. EISSA can be used for reporting air emissions, for compiling emission input to air quality models and for assessing emission related measures aimed at improving the air quality.
Air pollution is a major problem worldwide that has received particular attention lately due to its link with a wide range of adverse health effects. Models assessing the air quality are widely used by agencies tasked with controlling air pollution. In these models, emissions are of crucial importance as they are at the origin of atmospheric composition changes. Both, emission inventories and air quality models are especially useful to policy-makers whose decisions on future strategies are often based on emission abatement measures. As air quality models are only as reliable as the emission inventories they use, air quality assessment regulations necessitate the compilation of complete, accurate, and accessible emission databases.
Compilation of emission datasets is a very challenging task. The most accurate and useful inventory is a so called integrated inventory that combines bottom-up and top-down methodologies in a sensible way. In recent years, VITO built up a lot of expertise in integrated assessment of emissions. This resulted in an Air Emission Inventory Support System, EISSA, which allows to assist governments, local air districts and other stakeholders in reporting and analyzing emissions, and based on this, in controlling air quality. EISSA comprises state-of-the-art techniques and extensive expertise, enabling to inventory, map, monitor and report emissions to the air as well as to assess emission related measures aimed at improving the air quality.
EISSA is a user-friendly application that handles the bottom-up and/or top-down allocation and modelling of emissions off all substances and from all major point and diffuse sources to the air. It models the location of the sources and the amounts of pollutants emitted by these sources as accurately as possible.
EISSA features a number of functionalities such as mapping, visualization, and detailed analysis of estimated emissions. All results can be made available at various levels of detail: per source or group of sources, per substance or group of substances, per raster cell, group of raster cells or administrative entities, etc..
EISSA produces reports with the totals per substance, per source, per geographical area, etc., and in the format as required by the user, thus profiling itself as a highly suitable tool to process (mandatory) reports at EU-level:
EISSA deals with input data of varying origin, format, and resolution, and is not limited to administrative boundaries. It transforms all data into a uniform format and resolution with a view to enable compilation of emission datasets suitable for air quality modelling.
EISS assists in designing and implementing targeted reduction and phasing out emission related measures. It enables to:
EISSA, in combination with air quality models, provides answers to the policy relevant questions with respect to air quality, such as:
EISSA is a flexible software framework with a generic design, optimized to work with different types of emission sources and pollutants, making it into a unique tool for the purpose. Both the list of sources and substances represented can be extended or amended by the user at any time, e.g. as new information becomes available with time. Sources are represented in a hierarchical structure of maximum five levels, enabling a clear overview and fast access to the required information.
The EISSA system can be applied to areas of different size: from industrial or rural complexes to entire EU Member States. The study area is represented as a regular grid made up of cells, in resolutions ranging from a few square meters to several square kilometers. The resolution of an EISSA application can be chosen according to the quality of the available data, the specific requirements and, of course, the processing speed expected during use of the system.
But, most importantly, EISSA can be applied in data rich as well as in data poor conditions. To the effect, it is equipped with a set of algorithms that can be applied under all circumstances. EISSA applications can thus start-up as fairly simple and coarse applications but evolve rapidly as new or better data become available.
EISSA is technical in nature, yet very user-friendly. Input screens are available to define the entire application, involving characteristics of each substance and source as well as the geographical information required to represent the sources. The user interface hides the technicalities of the underlying software framework for the user. This software framework consists of coupled algorithms to be selected from a built-in library, specified, chained, and sequentially executed according to the characteristics of each source. The algorithms implement alternative methods for the spatial allocation of point, line and surface sources. In addition, algorithms are available to visualize results in graphs and perform analyses. These analyses range in complexity. Simple analyses involve summing substances over sources, across hierarchical levels and over various geographical administrative subdivisions.
EISSA handles both point and diffuse sources and the aggregation of both. The system is available as a software application that can be fully configured by the user and is perfectly able to grow with the user's needs and the availability of data.
EISSA features a number of functions, tools and domain models built on request for users such as de Vlaamse Milieumaatshappij (VMM), the Slovak Hydrometeorological Institute (SHMU), the Czech Hydrometeorological Institute (SHMU) and the Marshal’s Office of the Małopolska Region, Poland.
EISSA is continually being expanded with new algorithms, allowing the system to grow in terms of functionality, capability and accuracy. If necessary, or if efficiency gains can be achieved, specific algorithms can be developed and added to optimize the processing of available data, to improve the representation of specific sources, or to facilitate applications in specific areas. EISSA can thus easily be adapted and/or extended according to customer specific requirements. On demand additional functions and tools can be developed and deployed.
Below you can find more detailed infomation about EISSA or contact our team to see how we can assist you.