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Conference

2020

A systematic review of GIS-based landslide Hazard Mapping on Determinant Factors from International Databases

2020-12
2020 International Conference on Advanced Science and Engineering (ICOASE)
The landslide could severely affect infrastructure, irrigation systems, soil fertility, river and streams, and settlements. Both human-made and natural phenomena contribute to landslide hazards, and therefore a comprehensive assessment of landslide susceptibility is essential to its mitigation actions. Nowadays, geographical information systems and remote sensing in combination with modeling techniques have widely been used for assessment and mapping the susceptibility of the landslide. This study contains a review of 20 scientific articles on the spatial-statistical analysis of landslide susceptibility in the last ten years. The papers were reviewed for the locations of the case study, effective parameters used, and the results' validation. The review indicates the case studies were mostly for Asian countries, and this point was obtained that some vulnerable regions had sufficiently been studied. Various causative …

Landsat time-series for land use change detection using support vector machine: Case study of Javanrud District, Iran

2020-04
2020 International Conference on Computer Science and Software Engineering (CSASE)
Changes in land use/land cover (LULC) affect the natural ecosystem and environment that can cause changes in soil resources, biodiversity, ecological function, and environmental components. Therefore, recognizing the trends of LULC changes plays an essential role in natural resources planning and management. This research aims to investigate the spatial and temporal variations of LULC using remote sensing and geographic information system in Javanrud district, Iran. For this aim, Landsat satellite imageries including Thematic Mapper (TM) of 2000, and 2010, and Operational Land Imager (OLI) of 2018, were acquired in the land use/cover changes in Javanrud district were analyzed. Geometric correction, topography correction, and radiometric correction were implemented to enhance the accuracy of the images. Finally, the support vector machine (SVM) method was employed to extract the LULC classes …
2013

Best Method to Reduce Carbon Dioxide in Industry, Case Study: Shiraz Petrochemical Company in Iran

2013-10
1st International Conference of IALE-Iran (Landscape Ecology)
Due to global climate changes, as a result of greenhouse gases increasing, the Kyoto protocol (1997) presents methods to reduce the global gases. Shiraz petrochemical company is one of the biggest companies that produce a huge volume of greenhouse gases. So, the goal of this project is to research to find the best method to reduce carbon dioxide produced in the company according to the protocol guidance. There are two methods for this objective. The first one is forestation; if one hectare of the grounds planted with the pine species, for example, Tehran pine, every hectare of this jungle can sequence 4.3-ton carbon dioxide. So, Shiraz petrochemical has 136 ha of old jungles, if all of this area planted with Tehran pine, nearly 600-ton carbon dioxide can sequence per year. The next method is absorbing carbon dioxide in the shaft and injecting it into the urea (agricultural fertilizer) unit as raw material. According to the researches, urea unite can receive 160000 tons of carbon dioxide and be reformed to the area in a year. So, if this company investment in absorbing this gas and injecting it in urea unite, then more volume of Carbone dioxide quantity will be reduced.

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