Figura 6 - uploaded by J. Muñoz-Rojas
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–Mapa de la delimitación definitiva de la cuenca del río Bullaque, incluyendo el perímetro de incertidumbre (fuzzyness) calculado sobre base a escala 1:50.000. –Map of the definitive delimitation of the Bullaque river basin. This map includes the uncertainty-based perimeter (Fuzzyness ) calculated at a 1:50,000 scale.
Source publication
Regional Geomorphology is defined as the scientific study of the spatial distribution of landforms at both regional and subregional scales, and has been traditionally considered by land use planners, as the discipline capable to explain the master lines that define the character of both territory and landscape. The use of landforms and land-units t...
Citations
... Uncertainty in land use structure optimization can be classified into two categories, namely, external and internal . The reason for the former is that the objective of land use optimization is a complex system and the components of the system relate with one another closely (MuñozRojas et al. 2009). Furthermore, the features of the components are changeable; the system structure changes when the features change. ...
An uncertainty fractional joint probability chance constraint programming is developed to process land use structure optimization under uncertainty. The model integrate uncertainty programming into fractional programming, and the uncertainty programming include interval programming, fuzzy programming, stochastic programming and joint probability chance constraint programming. The results of the study are a series of land use policies in multiple scenarios with interval and deterministic numbers. The advantage of the model include it can (1) effectively integrate the two objectives of economic benefit maximization and pollution minimization by the fractional programming; (2) effectively process the uncertainty by the corresponding uncertainty programming; (3) reflect the impact of uncertainty on system benefit, pollutant discharge, and land use structure policy; and (4) develop a series of possible scenarios and corresponding feasible plans. The results of the study can help planners or decision makers develop flexible land use policy to address the multi-objective problems of maximum, minimum, and uncertainty. The proposed method is universal and can be extended to other cases.
