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The decline of social and economic status and functional and physical disorders of these contexts along with the very severe decline in the quality of the urban environment are among the reasons that have persuaded urban policymakers and planners to provide new strategies and solutions in the face of its problems. Accordingly, the futures research approach can keep peoplechr('39')s eyes open for possible future events, opportunities, and risks; Reduces ambiguities, doubts and erosive concerns of people, increases the ability of society and people to make smart choices. In this regard, the purpose of this study is to investigate the key drivers affecting the promotion of dysfunctional urban contexts with a future research approach in the Sartpooleh neighborhood of Sanandaj. This research is applied in terms of purpose and according to the studied components, the approach is descriptive-analytical method and environmental and Delphi scanning technique has been used to identify variables and indicators. Then, a semi-structured questionnaire was distributed among 45 experts in the field of urban issues. The data were analyzed using MICMAC software. The results showed that the urban system, especially in the worn-out tissue section of Sartpooleh neighborhood (in Sanandaj) is going through unstable conditions. Also, according to the analysis, 19 factors as key drivers such as authoritative management methods to renovate worn-out tissue, centralism, timely injection of funds when renovating worn-out tissue directly and variables focusing on improvement and renovation in comprehensive and detailed plans. Citizenschr('39') right to intervene in construction, paving the way for the entry of the private sector and balancing and achieving social justice were indirectly introduced to improve the quality and performance of worn-out structures.

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Among the natural hazards, without a doubt, the flood is known as a natural disaster. In this research, Shannon entropy model was used to prepare a flood sensitivity map. First, 34 flood watersheds were selected from Firoozabad basin, and then these 34 points were classified into two groups. With 22 points, 65 percent of the points for training and modeling, and 12 points, 35 percent of the locations that were not used in modeling were used for validation. First, a map of the status of the floods was developed and Then, 10 factors, slope, tilt, lithology, land use, NDVI, SPI, TWI, altitudes, rainfall and distances from the river were selected as flood factors in Firoozabad basin. Prioritizing the effective factors in the occurrence of flood by Shannon entropy index showed that the NDVI layers (2.03), rainfall (0.00), distance from the river (1.89), SPI (385.1), elevation classes (999 (0/19), gradient with weight (0,932), lithology (478/0), TWI (379/0), and land use (280/0), respectively (0/184) have the highest and the least impact Flood events. Based on the results of the ROC curve, the predicted surface area under the curve with 35% of the validation data is equal (91.42%) and for the success rate with 65% of the equal education data (92.53%).