| Literature DB >> 19151443 |
Luciane Baretta1, Maurício Roberto Veronez, Alessandro Ott Reinhardt.
Abstract
Industrial districts became important instruments which are used by the Public Power to induce economic decentralization and create new development poles. For this reason the legislative process is an indispensable means to define the priorities in the uses of soil, also to conduct and follow the process of industrial registration. However, the industrial district establishment shall not be analyzed by taking into account just the economic factor, but also the environmental issue of the enterprise. Thus, this research has the objective of determining adequate places for industrial districts implantation, having as a pilot area the city of São Leopoldo, Rio Grande do Sul State, Brazil. A Geographic Information System for execution of spatial analysis and criteria creation on a large volume of environmental information will be used as a tool, which will be guided by the Municipal, State and Federal legislation and a Quickbird satellite image that covers the interest area. The main information used on this research are: altimeter, hydrography, soil use, pedology, geology and infrastructure. The results are visualized in scenarios modeled in accordance with the restrictions imposed upon the information, allowing at the end, to combine all scenarios and create through the multiple criteria method a map that indicates adequate places for implantation of industrial districts.Entities:
Mesh:
Substances:
Year: 2008 PMID: 19151443 PMCID: PMC3700008 DOI: 10.3390/ijerph5050457
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1:Location of index area
Figure 2:Spatial analysis executed on research
Figure 3:Relief classes map.
Figure 4:Soil use map
Figure 5:Permanent Preservation Areas (PPA) map
Figure 6:Pedologic map.
Figure 7:Geologic map.
Figure 8:Infrastructure map.
Figure 9:Capability map for industrial districts implantation in São Leopoldo/RS.
Summary of classes used on multi-criteria analysis
| PPA | PPA | 0 | 65.558 | 58.99 |
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| Geology | Rio do Rasto formation | 4 | 5.47 | 4.92 |
| Piramboia formation | 3 | 51.5 | 46.34 | |
| Alluvial deposits | 1 | 22.82 | 20.53 | |
| Coluvio-alluvial deposits | 2 | 31.32 | 28.18 | |
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| Infra-structure | Level 1 | 5 | 33.97 | 30.57 |
| Level 2 | 4 | 23.93 | 21.53 | |
| Level 3 | 3 | 34.43 | 30.98 | |
| Other roads | 2 | 18.99 | 17.09 | |
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| Pedology | Yellow eutrophic argisoil | 2 | 48.89 | 44.09 |
| Red distrophic argisoil | 3 | 41.8 | 36.97 | |
| Haplic gleisoil and planosoil | 1 | 19.81 | 17.83 | |
| Red distrophic nitosoil | 4 | 0.61 | 0.55 | |
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| Relief | Plain | 5 | 61.14 | 55.02 |
| Smooth ripply | 4 | 26.97 | 24.27 | |
| Ripply | ||||
| Strong | 3 | 21.44 | 19.29 | |
| Ripply | 2 | 1.16 | 1.04 | |
| Hilly | 0 | 0.41 | 0.37 | |
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| Soil Use | Vegetal succession area | 2 | 2.4 | 2.6 |
| Urban area | 2 | 46.77 | 42.09 | |
| Wetland | 0 | 19.07 | 17.16 | |
| Field | 5 | 17.75 | 15.43 | |
| Mixed forest | 2 | 3.28 | 2.95 | |
| Native forest | 0 | 15.4 | 13.86 | |
| Reforestation | 4 | 5.38 | 4.84 | |