Information Modeling of Waste Disposal Sites

Abstract

The paper proposes a methodology for developing information model or database of waste disposal sites /WDS/ or landfill sites, applying received remotely and in-situ data from Earth surface monitoring, especially including procedures of morphological processing, data normalization and visualization models. The overall structure and composition of the information model, described subsystems, classes, objects, and attributes (properties) of the data, are presented. The possibility of formation of new information relations, that arise between different kinds of information, through morphological (in particular, the morphemic) processing “raw” information at the input, for example, between the classifiers (waste products, settlements, economic activities, etc.), is described. The paper used methods of system analysis, methods of mathematical linguistics, space monitoring methods. For example a structure of constructing the database, the archive and the classifier of unauthorized waste disposal facilities (solid waste landfills, waste piles, municipal landfills, and others) is presented. The scheme of data model describes the components (tables) as part of the model: general information, geometric and geographic parameters of geo-referenced data, including data for adjacent territorial-administrative facilities, etc.

Investigation of the similarity algorithm of the satellite images storage system for stability on the basis of Haar wavelets according to Tikhonov

“…Since we are studying the SIs, we are primarily interested in two-dimensional discrete wavelet transforms. For being ascertained [16], the two-dimensional wavelet transforms are based on one-dimensional wavelet transforms that do not depend on the number of rows and columns of the image. By virtue of this rule, we consider, basically, the horizontal and vertical directions of the wavelets.…”

Information Modeling of Waste Disposal Sites

“…As the input data of the algorithm for developing the information model there are the "raw" data of the aerospace monitoring results [1][2][3][4], field and laboratory studies, information from Internet sources and regulating documents. These include different data: 1) data directly related to SWLs -information about authorized SWLs, information on unauthorized SWLs; data on waste; remote SWLs monitoring data; contact field and laboratory SWL monitoring data, (for example, data about the company and the location of SWLs, about the contents of the wastes and their placement, SWL photos, eyewitnesses comments, state register data about waste disposal facilities [5], details of the design, operation and reclamation of landfills [6]);…”

“…3 shows a special case of the structure in Figure 1, where information models -the database, qualifier and archive of unauthorized SWLs as special cases of information models of SWLs, are missing now (note that there is a qualifier of authorized SWL: State Register of waste disposal facilities). The detecting block of unauthorized SWLs calculates the detection areas on the images of medium and high resolution in accordance with the procedure of SWL detection [1][2][3][4] and compares them with SWLsanctioned maps. The results of detection of unauthorized SWLs according to space monitoring data in on-line mode arrive to the input of dataforming block of data patterns.…”