GIS and ordination techniques for evaluation of environmental impacts in informal settlements: A case study from Cuiabá, central Brazil

Abstract This study evaluates the environmental impacts caused by informal occupation in the city of Cuiaba, Mato Grosso, Brazil. In 10 selected districts, an assessment of 35 environmental indicators was conducted, evaluating secondary data as well as field survey results, air photo interpretation and geographical information system (GIS) analysis. A matrix approach was then applied to quantify the magnitude and relevance of 13 types of impacts on the following environmental components: surface water, soil, flora/fauna, air, land use and life quality. Impacts were analyzed in the spatial context of four main classes of municipal zoning. Redundancy analysis (RDA), a multivariate ordination method, was applied to evaluate the dependency of impacts from environmental and socio-economical factors. Total impact scores were the highest in areas devoted to environmental preservation according to municipal zoning, indicating a limited ability of authorities to control informal occupation processes and their impacts on the environment. Indicator analysis showed strong impacts along the stream network in areas susceptible to episodic flooding. RDA indicates that age and district organization have a significantly important impact in the sampled districts; they were found to be as important in ordination as environmental factors such as geo-technical units.

[1]  John Abbott,et al.  An analysis of informal settlement upgrading and critique of existing methodological approaches , 2002 .

[2]  Manfred Lenzen,et al.  Environmental impact assessment including indirect effects—a case study using input–output analysis , 2003 .

[3]  Paula Antunes,et al.  The application of Geographical Information Systems to determine environmental impact significance , 2001 .

[4]  Calyampudi R. Rao,et al.  Linear Statistical Inference and Its Applications. , 1975 .

[5]  J. Leitmann,et al.  Coping strategies for infrastructure: How Turkey's spontaneous settlements operate in the absence of formal rules , 1998 .

[6]  C. Stephens.  The urban environment, poverty and health in developing countries. , 1995, Health policy and planning.

[7]  Chrispin Pettang,et al.  A new proposition for the curbing of spontaneous housing in urban area in Cameroon , 1998 .

[8]  G. Brent Hall,et al.  Integration of Remote Sensing and GIS to Detect Pockets of Urban Poverty: The Case of Rosario, Argentina , 2001, Trans. GIS.

[9]  D. Hotchkiss,et al.  Geographic aspects of poverty and health in Tanzania: does living in a poor area matter? , 2006, Health policy and planning.

[10]  C. Zanetta.  The evolution of the World Bank's urban lending in Latin America: from sites and services to municipal reform and beyond , 2001 .

[11]  Gilson Alberto Rosa Lima,et al.  Spatial Patterns of Water Quality in the Cuiabá River Basin, Central Brazil , 2006, Environmental monitoring and assessment.

[12]  Calyampudi Radhakrishna Rao,et al.  Linear Statistical Inference and its Applications , 1967 .

[13]  Vladimir Makarenkov,et al.  Nonlinear redundancy analysis and canonical correspondence analysis based on polynomial regression , 2002 .

[14]  Víctor-Andrés Cloquell-Ballester,et al.  Indicators validation for the improvement of environmental and social impact quantitative assessment , 2006 .

[15]  Paul J. Curran,et al.  Monitoring urban growth on the European side of the Istanbul metropolitan area: A case study , 2003 .

[16]  Janet L. Ohmann,et al.  Predictive mapping of forest composition and structure with direct gradient analysis and nearest- neighbor imputation in coastal Oregon, U.S.A. , 2002 .

[17]  W. Kombe.  Land use dynamics in peri-urban areas and their implications on the urban growth and form: the case of Dar es Salaam, Tanzania , 2005 .

[18]  R. Tateishi,et al.  Evaluating urban expansion and land use change in Shijiazhuang, China, by using GIS and remote sensing , 2006 .

[19]  Asit K. Biswas,et al.  Environmental Impact Assessment for Developing Countries , 1992 .

[20]  C.J.F. ter Braak,et al.  A Theory of Gradient Analysis , 2004 .

[21]  John Abbott,et al.  The use of GIS in informal settlement upgrading: its role and impact on the community and on local government , 2003 .

[22]  J. Wainwright,et al.  Environmental Modelling: Finding Simplicity in Complexity , 2013 .

[23]  John Wainwright,et al.  Modelling and Model Building , 2013 .

[24]  Budiman Minasny,et al.  On digital soil mapping , 2003 .

[25]  Rusong Wang,et al.  Monitoring and predicting land use change in Beijing using remote sensing and GIS , 2006 .

[26]  Godela Rossner,et al.  Mapping and indicator approaches for the assessment of habitats at different scales using remote sensing and GIS methods , 2004 .