Evaluation of a neuro-fuzzy technique in estimating pan evaporation values in low-altitude locations

Meteorological applications

article

Jalal Shiri¹ 

[1] Water Engineering Department, Faculty of Agriculture, University of Tabriz

关键词: external models;    local models;    neural networks;    neuro-fuzzy;    pan evaporation;   

DOI  :  10.1002/met.1753

学科分类：社会科学、人文和艺术（综合）

来源: Wiley

【 摘 要 】

Environmental contamination with heavy metals is one of the main concerns on a global scale and the risk related to exposure to heavy metals present in indoor dust is considered as a serious threat to human health. Therefore, the purpose of the current research was to evaluate the heavy metals concentrations in indoor dust and their potential risks in urban areas in Bushehr city, Iran. Fifty-four indoor dust samples were collected from different buildings including lab rooms, offices, school rooms and households within the Bushehr City, during May – July 2016 and analyzed using ICP-AES (Arcousmodel, Germany). The sum of hazard quotient (hazard quotient (HQs) for heavy metals for adults declined in the order of Cr > Cd > Cu >Ni > Zn > Pb for the household while the order of ΣHQ for trace metals for adults in offices is Cr > Cd > Ni >Cu > Zn > Pb. Moreover, the values ΣHQ for trace metals for children declined in the order of Cr > Cd > Zn > Ni > Cu > Pb for the schools while the order of ΣHQ for trace metals for children in households is Cd > Zn >Cu > Cd > Ni > Cr > Pb. For all heavy metals, the HQs was about an order of magnitude higher for children than for adults. These findings can be attributed to the more vulnerability of children to the toxic substances.

【 授权许可】

CC BY|CC BY-NC|CC BY-NC-ND