A GIS-based multi-criteria fuzzy approach to select a suitable location for a MSW-based power plant and landfill: a case study, Khuzestan province, Iran

Soleymani, Mohsen; Asakereh, Abbas; Ardebili, Seyed Mohammad Safieddin

doi:10.1007/s10661-022-09809-9

Cited by 4 publications

(2 citation statements)

References 60 publications

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“…The first step in finding the best accessible location for the landfill site is to define the appropriate criteria. As it is a multi-criteria decision and has serious environmental, economic, and social impacts, they were chosen based on national regulations, standards and guidelines, local features, previous studies, expert assessments, and data availability [49][50][51][52][53][54]. By gathering the data layers from the National Geoscience Database of Iran, some factors and constraints were determined, as explained below (Table 2).…”

Section: Data Preparationmentioning

confidence: 99%

Optimal Landfill Site Selection for Solid Waste of Three Municipalities Based on Boolean and Fuzzy Methods: A Case Study in Kermanshah Province, Iran

Mousavi

Darvishi

Dinan

et al. 2022

Land

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In recent decades, population increase and urban development have led to catastrophic environmental consequences. One of the principal objectives to achieve “sustainable development” is to find suitable landfills. Due to their physical characteristics, which have led to a lack of landfill sites and closeness to water bodies, agricultural fields, and residential areas, the cities of Javanrood, Paveh, and Ravansar were chosen as the necessary research regions. On the other hand, these landfills are unable to accommodate the growing urban population. Therefore, this study attempts to develop a framework for spotting the most suitable sites for landfill construction with these three cities as case studies. For this, 10 important driving factors (9 factors and 1 constraint) in landfill site selection were generated. Second, for the fuzzy membership function, the analytic hierarchy process (AHP) method was employed for the standardization of criteria and determining the weight of the driving factors. Then, the Boolean, weighted linear combination (WLC) and ordered weighted average (OWA) methods were utilized to spot optimal sites for landfills. Finally, two suitable sites were found for landfills: site (a) was obtained from the WLC, and site (b) was obtained from OWA-low risk some trade-off (LRST) methods. Our results proved the high efficiency of multi-criteria decision-making methodology for landfill site selection.

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Section: Data Preparationmentioning

confidence: 99%

Optimal Landfill Site Selection for Solid Waste of Three Municipalities Based on Boolean and Fuzzy Methods: A Case Study in Kermanshah Province, Iran

Mousavi

Darvishi

Dinan

et al. 2022

Land

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“…Monitoring the condition of the system provides a prediction of how the system will operate when it is functioning properly. To determine the final results of fault diagnosis when the power system fails, the operation of power equipment and lines is tracked and studied [2]. At present, for the building electrical systems fault investigation automation degree is poor, mainly rely on manual monitoring, inspection and maintenance to carry out.…”

Section: Introductionmentioning

confidence: 99%

The application of fault diagnosis techniques and monitoring methods in building electrical systems – based on ELM algorithm

Liu

2023

J. meas. eng.

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The reliability of modern building electrical systems are receiving increasing attention as they become more intelligent and complex. As the majority of building electrical systems use neutral point grounding, earth faults or short circuits can get worse over time and damage both the distribution system and the electrical equipment. To this end, the corresponding three phases and four categories, namely three-phase voltage, three-phase current after fault, three-phase voltage distortion rate, three-phase current distortion rate, a total of 12 dimensional fault feature vectors and 10 fault simulation types, were summarised and extracted in conjunction with the actual operating conditions of the system. Using traditional fault identification ideas and neural network algorithm as reference, a 12-dimensional fault feature vector is used as the model input to construct a building electrical fault diagnosis and detection model based on ELM algorithm. Results showed that the ELM-based model’s classification accuracy for this experimental sample was 97.56 %, its AUC was 0.92, and its RMSE was 0.3521. These figures were higher than the classification accuracy and performance of the BP algorithm and GA-BP algorithm fault diagnosis models, and they also demonstrate better robustness and generalizability. The model also has a 97.27 % correct rate in fault discrimination, while the computation time is only 0.201 s, and its fault identification and diagnosis speed is faster than other algorithmic models. At the same time, this research model has a good fault monitoring accuracy of up to 98.6 % for building electrical systems. The research can provide a more sensitive, accurate and rapid fault monitoring method for the current building electrical system. It also improves the reliability of the building electrical system in a complex environment and achieves better protection of the system. This has a certain significance for the development of the building electrical industry.

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A combined fuzzy decision-making approach to evaluate the MBT plant location alternatives

Dursun,

Mumcu

2024

Arab J Geosci

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A GIS-based multi-criteria fuzzy approach to select a suitable location for a MSW-based power plant and landfill: a case study, Khuzestan province, Iran

Cited by 4 publications

References 60 publications

Optimal Landfill Site Selection for Solid Waste of Three Municipalities Based on Boolean and Fuzzy Methods: A Case Study in Kermanshah Province, Iran

Optimal Landfill Site Selection for Solid Waste of Three Municipalities Based on Boolean and Fuzzy Methods: A Case Study in Kermanshah Province, Iran

The application of fault diagnosis techniques and monitoring methods in building electrical systems – based on ELM algorithm

A combined fuzzy decision-making approach to evaluate the MBT plant location alternatives

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