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A Comparative Analysis of Analytical Hierarchy Process and Fuzzy Logic Modeling in Flood Susceptibility Mapping in the Assaka Watershed, Morocco

Khaddari Achraf, Jari Abdessamad, Chakiri Saïd, El Hadi Hassan, Labriki Allal, Hajaj Soufiane, Goumghar Lahcen, El Harti Abderrazak, Abioui Mohamed

Journal of Ecological Engineering

2023

Vol. 24, nr 8

62--83

The Assaka watershed is one of the largest watersheds in the Guelmim region in southern Morocco. It is frequently exposed to the many flooding events that can be responsible for many costly human and material damages. This work illustrates a decision-making methodology based on Analytical Hierarchy Process (AHP) and Fuzzy Logic Modelling (FLM), in the order to perform a useful flood susceptibility mapping in the study area. Seven decisive factors were introduced, namely, flow accumulation, distance to the hydrographic network, elevation, slope, LULC, lithology, and rainfall. The susceptibility maps were obtained after normalization and weighting using the AHP, while after Fuzzification as well as the application of fuzzy operators (OR, SUM, PRODUCT, AND, GAMMA 0.9) for the fuzzy logic methods. Thereafter, the flood susceptibility zones were distributed into five flood intensity classes with very high, high, medium, low, and, very low susceptibility. Then validated by field observations, an inventory of flood-prone sites identified by the Draa Oued Noun Hydraulic Watershed Agency (DONHBA) with 71 carefully selected flood-prone sites and GeoEye-1 satellite images. The assessment of the mapping results using the ROC curve shows that the best results are derived from applying the fuzzy SUM (AUC = 0.901) and fuzzy OR (AUC = 0.896) operators. On the other hand, the AHP method (AUC = 0.893) shows considerable mapping results. Then, a comparison of the two methods of SUM fuzzy logic and AHP allowed considering the two techniques as complementary to each other. They can accurately model the flood susceptibility of the Assaka watershed. Specifically, this area is characterized by a high to very high risk of flooding, which was estimated at 67% and 30% of the total study area coverage using the fuzzy logic (SUM operator) and the AHP methods, respectively. Highly susceptible flood areas require immediate action in terms of planning, development, and land use management to avoid any dramatic disaster.

Peak ground acceleration prediction by fuzzy logic modeling for Iranian plateau

Karimi Ghalehjough Babak, Mahinroosta Reza

Acta Geophysica

2020

Vol. 68, no. 1

75--89

In this study, fuzzy logic modeling is applied to a complex and nonlinear set of data to predict both horizontal and vertical peak ground accelerations in Iranian plateau. The data used for the model include an up-to-date seismic catalogue from earthquakes in Iran for prediction of both horizontal and vertical acceleration of a probable earthquake. Fuzzy logic toolbox on MATLAB program was used for modeling. Earthquake magnitude ranging from 4 to 7.4, source-to-site distance from 7 to 80 km and three diferent site conditions were considered: rock, stif soil and soft soil. Results are compared with those from worldwide and regional attenuation relationships, which show the higher capability of the model in comparison with the other models. After training the model, testing of the fuzzy model with the remaining data set was performed to confrm the accuracy of the model. Changes in the peak ground accelerations in connection with changes in input parameters are studied which are in agreement with basic characteristics of earthquake input motions.

Wpływ czynników materialnego środowiska pracy na sprawność operatora środków transportu

Bęczkowska S., Grabarek I.

Przegląd Mechaniczny

2017

nr 4

29--36

W artykule dokonano analizy wpływu materialnego środowiska pracy, ze szczególnym uwzględnieniem drgań i hałasu na sprawność operatora środków transportu. Badania ankietowo-eksperckie przeprowadzone na grupie maszynistów oraz kierowców przewożących towary niebezpieczne pozwoliły wytypować cechy wpływające na uciążliwość pracy. Cechy te wykorzystano w budowie modelu działań maszynisty oraz modelu wpływu czynnika ludzkiego na prawdopodobieństwo wystąpienia wypadku drogowego. W modelowaniu wykorzystano heurystyczne struktury rozmyte (struktury Mamdaniego i Takagi-Sugeno-Kanga). Modele implementowano numerycznie w środowisku Matlab_Simulink i wykorzystano do symulacji wpływu wybranych cech na sprawność operatorów.

The article analyses the impact of the material environment, with particular regard to vibration and noise on the efficiency of the transport means operator. The questionnaire/expert-based surveys carried out on a group of locomotive drivers and drivers carrying dangerous goods allowed the prediction of characteristics that affect the hardship work. These features were used in the construction of the driver's action model and the model of the impact of the human factor on the probability of an accident. The modeling used a heuristic fuzzy structure (structure of Mamdani and Takagi-Sugeno-Kanga), numerical models was implemented in an environment Matlab_Simulink, and used to simulate the impact of selected features on the efficiency of operators.