Providing a GIS-based Combined Model Applied to Evaluate Urban Environment Carrying Capacity in Shemiran City, Iran

Abstract

Urban ecosystems evolve over time and space, as the outcome of dynamic interactions between Socio-economic and biophysical processes operating over multiple scales. If the urban population and human activities expand infinitely and exceed the “limit of urban capacity”, local urbanites would no longer perceive prosperity, but be troubled by the overall deteriorations in Socio-economic and ecological aspects. On this basis, the present study aims to suggest a GIS-based model, combined of TOPSIS along with Fuzzy modeling, in GIS environ as a Spatial Decision Support System (SDSS), to evaluate Urban Environment Carrying Capacity. Suggested model was planned on basis of desirable and the maximum accepted limits of chosen indicators, used to determine Hot spots widths. The study area was Shemiran City (according to data collected at 2013) with 43%, 44% and 10% had Degree 2 (low pressure), Degree 3 (median pressure) and Degree 4 (Maximum pressure) of carrying capacity, respectively; also only 3% was at critical state. None of the studied districts has desirable degree of Carrying capacity.

Evaluation of Ecological Carrying Capacity and Identification of Its Influencing Factors Based on Remote Sensing and Geographic Information System: A Case Study of the Yellow River Basin in Shaanxi

“…Therefore, the key parameters of ECC (equilibrium and yield factors) should be calculated according to the actual situation of the region to reflect the regional ECC accurately. In recent years, the development of geographic information systems (GIS) and remote sensing (RS) provide powerful tools for the study of ECC [29][30][31]. GIS and RS also provide abundant data [32], which makes the results more robust with accurate spatiotemporal characteristics [33].…”