2 research outputs found
Applying ER-MCDA and BF-TOPSIS to Decide on Effectiveness of Torrent Protection
International audienceExperts take into account several criteria to assess the effectiveness of torrential flood protection systems. In practice, scoring each criterion is imperfect. Each system is assessed choosing a qualitative class of effectiveness among several such classes (high, medium, low, no). Evidential Reasoning for Multi-Criteria Decision-Analysis (ER-MCDA) approach can help formalize this Multi-Criteria Decision-Making (MCDM) problem but only provides a coarse ranking of all systems. The recent Belief Function-based Technique for Order Preference by Similarity to Ideal Solution (BF-TOPSIS) methods give a finer ranking but are limited to perfect scoring of criteria. Our objective is to provide a coarse and a finer ranking of systems according to their effectiveness given the imperfect scoring of criteria. Therefore we propose to couple the two methods using an intermediary decision and a quantification transformation step. Given an actual MCDM problem, we apply the ER-MCDA and its coupling with BF-TOPSIS, showing that the final fine ranking is consistent with a previous coarse ranking in this case
Multi-criteria decision making in a function of soil and water resources conservation in hilly- mountainous areas of central Serbia
ΠΡΠΈΠΌΠ΅Π½Π° ΠΌΠ΅ΡΠΎΠ΄Π° Π²ΠΈΡΠ΅ΠΊΡΠΈΡΠ΅ΡΠΈΡΡΠΌΡΠΊΠΎΠ³ ΠΎΠ΄Π»ΡΡΠΈΠ²Π°ΡΠ° Ρ ΠΎΠ±Π»Π°ΡΡΠΈ Π·Π°ΡΡΠΈΡΠ΅ ΠΎΠ΄ Π΅ΡΠΎΠ·ΠΈΡΠ΅ ΠΈ Π±ΡΡΠΈΡΠ°, ΡΠ° ΡΠΈΡΠ΅ΠΌ ΠΊΠΎΠ½Π·Π΅ΡΠ²Π°ΡΠΈΡΠ΅ Π·Π΅ΠΌΡΠΈΡΠ½ΠΈΡ
ΠΈ Π²ΠΎΠ΄Π½ΠΈΡ
ΡΠ΅ΡΡΡΡΠ° Π±ΡΠ΄ΡΠΊΠΎ-ΠΏΠ»Π°Π½ΠΈΠ½ΡΠΊΠΈΡ
ΠΏΠΎΠ΄ΡΡΡΡΠ° ΡΠ΅Π½ΡΡΠ°Π»Π½Π΅ Π‘ΡΠ±ΠΈΡΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²ΡΠ° ΠΏΡΠ΅Π΄ΠΌΠ΅Ρ ΠΎΠ²Π΅ Π΄ΠΈΡΠ΅ΡΡΠ°ΡΠΈΡΠ΅.
ΠΠ΅ΠΎΠ³ΡΠ°ΡΡΠΊΠΎ ΠΏΠΎΠ΄ΡΡΡΡΠ΅ ΠΈΡΡΡΠ°ΠΆΠΈΠ²Π°ΡΠ° ΠΏΡΠ΅Π΄ΡΡΠ°Π²ΡΠ°ΡΡ ΡΠ»ΠΈΠ² Π’ΠΎΠΏΡΠΈΠ΄Π΅ΡΡΠΊΠ΅ ΡΠ΅ΠΊΠ΅, ΡΠ»ΠΈΠ² ΡΠ΅ΠΊΠ΅ Π’ΠΎΠΏΠ»ΠΈΡΠ΅ ΠΈ ΡΠ»ΠΈΠ² ΡΠ΅ΠΊΠ΅ Π Π°ΡΠΈΠ½Π΅, ΠΊΠΎΡΠΈ ΡΡ ΠΊΠ»Π°ΡΠΈΡΠΈΠΊΠΎΠ²Π°Π½ΠΈ Ρ ΡΠΈΡΡΠ΅ΠΌ ΠΏΠΎΠ΄ΡΠ»ΠΈΠ²ΠΎΠ²Π°. ΠΡΠ΅Π΄Π½ΠΎΡΡΠΈ ΠΊΡΠΈΡΠ΅ΡΠΈΡΡΠΌΠ° Π·Π° ΠΏΡΠΎΡΠ΅Π½Ρ Π΅ΡΠΎΠ·ΠΈΡΠ΅ Π·Π΅ΠΌΡΠΈΡΡΠ°: Π½Π°ΡΠΈΠ½Π° ΠΊΠΎΡΠΈΡΡΠ΅ΡΠ° Π·Π΅ΠΌΡΠΈΡΡΠ°, Π΅ΡΠΎΠ΄ΠΈΠ±ΠΈΠ»Π½ΠΎΡΡΠΈ Π·Π΅ΠΌΡΠΈΡΡΠ°, ΠΊΠΈΡΠ½ΠΎΠ³ ΡΠ°ΠΊΡΠΎΡΠ° ΠΈ ΡΠΎΠΏΠΎΠ³ΡΠ°ΡΡΠΊΠΎΠ³ ΡΠ°ΠΊΡΠΎΡΠ° (RUSLE ΠΌΠ΅ΡΠΎΠ΄Π°), ΠΊΠ°ΠΎ ΠΈ Π²ΡΠ΅Π΄Π½ΠΎΡΡΠΈ 10 ΠΌΠΎΡΡΠΎΠΌΠ΅ΡΡΠΈΡΡΠΊΠΈΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΠ°ΡΠ° ΠΊΠΎΡΠΈΡΡΠ΅Π½ΠΈΡ
Π·Π° ΠΏΡΠΎΡΠ΅Π½Ρ ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ ΠΎΠ΄ Π±ΡΡΠΈΡΠ½ΠΈΡ
ΠΏΠΎΠΏΠ»Π°Π²Π° (ΠΏΠΎΠ²ΡΡΠΈΠ½Π° ΠΏΠΎΠ΄ΡΠ»ΠΈΠ²Π°, ΡΠ΅Π»Π°ΡΠΈΠ²Π½ΠΈ ΠΏΠ°Π΄ ΡΠΎΠΊΠ°, ΡΡΠ΅Π΄ΡΠΈ ΠΏΠ°Π΄ ΠΏΠΎΠ΄ΡΠ»ΠΈΠ²Π°, ΠΊΠΎΠ΅ΡΠΈΡΠΈΡΠ΅Π½Ρ Π΅ΡΠΎΠ·ΠΈΠΎΠ½Π΅ Π΅Π½Π΅ΡΠ³ΠΈΡΠ΅ ΡΠ΅ΡΠ΅ΡΠ°, Π³Π΅ΠΎΠΌΠΎΡΡΠΎΠ»ΠΎΡΠΊΠΎ-Π΅ΡΠΎΠ·ΠΈΠΎΠ½ΠΈ ΠΊΠΎΠ΅ΡΠΈΡΠΈΡΠ΅Π½Ρ ΠΈΡΠ΄.) ΡΡ ΡΡΠ²ΡΡΠ΅Π½ΠΈ Π°Π½Π°Π»ΠΈΠ·ΠΎΠΌ ΠΎΠ΄Π³ΠΎΠ²Π°ΡΠ°ΡΡΡΠΈΡ
ΠΏΠΎΠ΄Π»ΠΎΠ³Π° ΡΠ· ΠΏΡΠΈΠΌΠ΅Π½Ρ GIS-Π°.
Π£ ΡΠ°Π΄Ρ ΡΡ ΠΏΡΠΈΠΌΠ΅ΡΠ΅Π½Π΅ ΠΌΠ΅ΡΠΎΠ΄Π΅ Π²ΠΈΡΠ΅ΠΊΡΠΈΡΠ΅ΡΠΈΡΡΠΌΡΠΊΠ΅ Π°Π½Π°Π»ΠΈΠ·Π΅: AHP, WSM, ELECTRE II ΠΈ PROMETHEE II. ΠΠΎΠΌΠΎΡΡ ΠΎΠ²ΠΈΡ
ΠΌΠ΅ΡΠΎΠ΄Π° ΡΡ ΠΎΠ΄ΡΠ΅ΡΠ΅Π½Π΅ ΡΠ΅ΠΆΠΈΠ½Π΅ ΠΊΡΠΈΡΠ΅ΡΠΈΡΡΠΌΠ° ΠΈ ΡΠ°Π½Π³ΠΈΡΠ°Π½ΠΈ ΠΏΠΎΠ΄ΡΠ»ΠΈΠ²ΠΎΠ²ΠΈ ΠΏΡΠ΅ΠΌΠ° ΡΠ³ΡΠΎΠΆΠ΅Π½ΠΎΡΡΠΈ Π΅ΡΠΎΠ·ΠΈΡΠΎΠΌ ΠΈ ΠΏΡΠ΅ΠΌΠ° ΡΠ³ΡΠΎΠΆΠ΅Π½ΠΎΡΡΠΈ ΠΎΠ΄ Π±ΡΡΠΈΡΠ½ΠΈΡ
ΠΏΠΎΠΏΠ»Π°Π²Π°. ΠΠ·Π΄Π²ΠΎΡΠ΅Π½ΠΈ ΡΡ ΠΏΠΎΠ΄ΡΠ»ΠΈΠ²ΠΎΠ²ΠΈ ΠΏΡΠ²ΠΎΠ³ ΡΠ°Π½Π³Π°, Π³Π΄Π΅ ΡΠ΅ ΠΏΠΎΡΡΠ΅Π±Π½ΠΎ ΠΏΡΠΈΠΌΠ΅Π½ΠΈΡΠΈ ΠΊΠΎΠ½Π·Π΅ΡΠ²Π°ΡΠΈΠΎΠ½Π΅ ΠΌΠ΅ΡΠ΅ ΠΈ ΡΠ°Π΄ΠΎΠ²Π΅.
ΠΠΎΠΌΠ΅Π½ΡΡΠ΅ ΠΌΠ΅ΡΠΎΠ΄Π΅ Π²ΠΈΡΠ΅ΠΊΡΠΈΡΠ΅ΡΠΈΡΡΠΌΡΠΊΠ΅ Π°Π½Π°Π»ΠΈΠ·Π΅ ΡΡ ΠΏΡΠΈΠΌΠ΅ΡΠ΅Π½Π΅ ΠΈ Π·Π°: ΠΈΠ·Π±ΠΎΡ Π±ΡΡΠΈΡΠ½ΠΈΡ
ΡΠ»ΠΈΠ²ΠΎΠ²Π° Π³Π΄Π΅ ΡΠ΅ ΡΠ΅ Π³ΡΠ°Π΄ΠΈΡΠΈ ΠΏΡΠ΅Π³ΡΠ°Π΄Π΅ (ΠΊΠ°ΠΎ ΡΠ΅Ρ
Π½ΠΈΡΠΊΠΈ ΡΠ°Π΄ΠΎΠ²ΠΈ Ρ ΠΊΠΎΡΠΈΡΡ Π±ΡΡΠΈΡΠ½ΠΈΡ
Π²ΠΎΠ΄ΠΎΡΠΎΠΊΠΎΠ²Π°), ΠΈΠ·Π±ΠΎΡ Π½Π°ΡΠΏΡΠΈΡ
Π²Π°ΡΡΠΈΠ²ΠΈΡΠ΅ ΠΊΠΎΠΌΠ±ΠΈΠ½Π°ΡΠΈΡΠ΅ ΠΏΡΠ΅Π³ΡΠ°Π΄Π°, ΠΊΠ°ΠΎ ΠΈ ΠΏΡΠΎΡΠΈΠ»Π° Π·Π° ΡΠΈΡ
ΠΎΠ²Ρ ΠΈΠ·Π³ΡΠ°Π΄ΡΡ. ΠΠ° ΡΠ΅ΡΠ΅Π½Ρ ΡΡ ΡΠ΅Π³ΠΈΡΡΡΠΎΠ²Π°Π½Π° ΠΎΡΡΠ΅ΡΠ΅ΡΠ° ΠΏΡΠ΅Π³ΡΠ°Π΄Π° ΠΈ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π° ΡΠ΅ ΡΠΎΡΠΌΡΠ»Π° Π·Π° ΠΏΡΠΈΠΎΡΠΈΡΠΈΠ·Π°ΡΠΈΡΡ ΡΠΈΡ
ΠΎΠ²ΠΎΠ³ ΡΠ°Π½ΠΈΡΠ°ΡΠ°.
ΠΠ΅ΡΠΎΠ΄Π΅ Π²ΠΈΡΠ΅ΠΊΡΠΈΡΠ΅ΡΠΈΡΡΠΌΡΠΊΠ΅ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΡΠ΅ (ΠΌΠ΅ΡΠΎΠ΄Π° ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅ΡΠ° ΠΈ ΠΌΠ΅ΡΠΎΠ΄Π° ΡΠ΅ΠΆΠΈΠ½ΡΠΊΠΈΡ
ΠΊΠΎΠ΅ΡΠΈΡΠΈΡΠ΅Π½Π°ΡΠ°) ΡΡ ΠΏΡΠΈΠΌΠ΅ΡΠ΅Π½Π΅ Π·Π° ΠΈΠ·Π±ΠΎΡ ΠΎΠΏΡΠΈΠΌΠ°Π»Π½Π΅ ΡΡΡΡΠΊΡΡΡΠ΅ Π½Π°ΡΠΈΠ½Π° ΠΊΠΎΡΠΈΡΡΠ΅ΡΠ° Π·Π΅ΠΌΡΠΈΡΡΠ°, ΠΊΠ°ΠΎ ΠΈ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΡΡ ΠΏΠΎΠ΄ΠΈΠ·Π°ΡΠ° ΡΠ΅ΡΠ°ΡΠ° ΠΊΠ°ΠΎ ΠΊΠΎΠ½Π·Π΅ΡΠ²Π°ΡΠΈΠΎΠ½Π΅ ΠΌΠ΅ΡΠ΅. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ ΡΠ΅ ΠΌΠΎΠ΄Π΅Π» ΠΈΠ½ΡΠ΅Π³ΡΠ°Π»Π½ΠΎΠ³ ΡΡΠ΅ΡΠ΅ΡΠ° ΡΠ»ΠΈΠ²Π°, Π³Π΄Π΅ Π±ΠΈ ΠΏΡΠΈΠΌΠ΅Π½Π° ΠΌΠ΅ΡΠΎΠ΄Π° Π²ΠΈΡΠ΅ΠΊΡΠΈΡΠ΅ΡΠΈΡΡΠΌΡΠΊΠ΅ Π°Π½Π°Π»ΠΈΠ·Π΅ ΠΎΠΌΠΎΠ³ΡΡΠΈΠ»Π° ΠΈΠ·Π±ΠΎΡ Π½Π°ΡΠΏΡΠΈΡ
Π²Π°ΡΡΠΈΠ²ΠΈΡΠ΅ ΠΊΠΎΠΌΠ±ΠΈΠ½Π°ΡΠΈΡΠ΅ ΠΌΠ΅ΡΠ°
ΠΈ ΡΠ°Π΄ΠΎΠ²Π° Π·Π° ΡΠ΅Π΄ΡΠΊΡΠΈΡΡ/ΠΏΡΠ΅Π²Π΅Π½ΡΠΈΡΡ Π΅ΡΠΎΠ·ΠΈΡΠ΅ ΠΈ Π±ΡΡΠΈΡΠ°.Application of multi-criteria decision-making in the field of soil erosion protection and torrents control, with the aim of conservation of soil and water resources in hilly-mountainous areas of central Serbia, represents the subject of the thesis. Π’he geographical area of research includes: Topciderska River, Toplica River and Rasina River Watershed, which are classified in the sub-watershed system. Π’he values of criteria for estimating soil erosion are: land use, soil erodibility, rainfall erosivity factor and topographical factor (RUSLE method), as well as the value of 10 morphometric parameters used to estimate the risk of torrential floods (sub-watershed area, relative slope of the river bed, the mean sub-watershed slope, the coefficient of erosion energy of relief, geomorphological-erosion coefficient) are established by using relevant maps and GIS technique.
In the paper, there have been applied various methods of multi-criteria analysis, such as: AHP, WSM, ELECTRE II PROMETHEE II. Using these methods, criteria weights are determined, and sub-watershed ranking is performed according to the vulnerability to erosion and torrential flooding. The first order sub-watershed, represents the area where implementation of conservation measures should be urgently performed.
The above-mentioned multi-criteria analysis methods have been applied for: selection of watersheds for check dam construction (such a technical work in the bed of torrential streams), then, a selection of the most appropriate combination of check dams, as well as profiles for their construction. In the field are registered damage of check dam, and based on this, the formula for prioritizing the rehabilitation of check dams is proposed.
Multi-criteria optimization methods (Constrained method and Method of weight coefficients) have been used for the selection of the optimal structure of land use in the sub-watershed, as well as the optimization of terrace construction as a conservation measure. A model of integrated watershed management has been proposed, where the application of the multi-criteria analysis method, would provide a selection of the most appropriate combination of measures and works for the reduction / prevention of erosion and torrents