A Spatial Multicriteria Decision Analysis to Manage Sewage Sludge Application on Agricultural Soils

Author(s):  
Ana Passuello ◽  
Marta Schuhmacher ◽  
Montse Mari ◽  
Oda Cadiach ◽  
Martí Nadal

In this chapter, the spatial problem of disposing sewage sludge on agricultural soils is addressed. Sewage sludge application on agricultural soils is recommended by governments in order to recycle nutrients and organic matter. Moreover, a new utility is given to a by-product of wastewater treatment. However, this managing practice may lead to environmental and human health risks. Soil amendment has also several related economic costs. In order to solve this decision problem, a spatial multicriteria decision analysis is presented. This method allows solving the decision problem taking into account the geographical peculiarities of each agricultural site. The purpose of this chapter is to present a methodology to solve the decision problem of managing sewage sludge on agricultural soils. For that, the most used multicriteria decision analysis procedures reported in the literature are reviewed and other novel methods are suggested. By the end of the chapter, a brief example of the method application is presented.

2018 ◽  
Vol 17 (8) ◽  
pp. 1791-1804 ◽  
Author(s):  
Maria Gavrilescu ◽  
Elena-Diana Comanita ◽  
Petronela Cozma ◽  
Isabela Maria Simion ◽  
Mihaela Rosca

2021 ◽  
pp. 0272989X2110190
Author(s):  
Ilyas Khan ◽  
Liliane Pintelon ◽  
Harry Martin

Objectives The main objectives of this article are 2-fold. First, we explore the application of multicriteria decision analysis (MCDA) methods in different areas of health care, particularly the adoption of various MCDA methods across health care decision making problems. Second, we report on the publication trends on the application of MCDA methods in health care. Method PubMed was searched for literature from 1960 to 2019 in the English language. A wide range of keywords was used to retrieve relevant studies. The literature search was performed in September 2019. Articles were included only if they have reported an MCDA case in health care. Results and Conclusion The search yielded 8,318 abstracts, of which 158 fulfilled the inclusion criteria and were considered for further analysis. Hybrid methods are the most widely used methods in health care decision making problems. When it comes to single methods, analytic hierarchy process (AHP) is the most widely used method followed by TOPSIS (technique for order preference by similarity to ideal solution), multiattribute utility theory, goal programming, EVIDEM (evidence and value: impact on decision making), evidential reasoning, discrete choice experiment, and so on. Interestingly, the usage of hybrid methods has been high in recent years. AHP is most widely applied in screening and diagnosing and followed by treatment, medical devices, resource allocation, and so on. Furthermore, treatment, screening and diagnosing, medical devices, and drug development and assessment got more attention in the MCDA context. It is indicated that the application of MCDA methods to health care decision making problem is determined by the nature and complexity of the health care problem. However, guidelines and tools exist that assist in the selection of an MCDA method.


2021 ◽  
Author(s):  
Marek Tobiszewski ◽  
Witold Przychodzeń ◽  
Marta Bystrzanowska ◽  
Maria Jolanta Milewska

Green chemistry requires the metrics system that are comprehensive by the criteria included and simple in application at the same time. We propose the application of multicriteria decision analysis for...


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