With the rapid growth of population, development of different industries, and production of several ranges of products, the generation of municipal solid waste (MSW) has been growing significantly in the recent years. However, if MSW is not managed properly, it can greatly contribute to an environmental crisis. In the present study, we aimed to examine the characteristics and quantity of MSW generated in Iran through a meta-analysis and systematic review. The major international and Iranian national databases including Science direct, Scopus, PubMed, Google scholar, and SID and Magiran were searched completely using appropriate keywords to identify the articles that have been published from 2003 up to November 2019 on the topic on interest. Based on the inclusion criteria, a number of 13 papers were found eligible to be reviewed in this study. The results showed that the amount of generated waste per capita in Iran is 839 g/capita/day. Moreover, organic matters, paper and cardboard, plastics, glasses, textiles, rubber, polyethylene terephthalate (PET), metals (ferrous and non-ferrous), wood materials, and other wastes were found to be contributed to 65.85%, 8.79%, 8.39%, 2.73%, 2.74%, 1.18%, 1.07%, 2.83%, 1.20%, and 5.22% of total MSW in Iran, respectively. Due to the high level of organic waste in MSW stream in Iran, composting program is recommended as a practical and beneficial approach. Of note, the recyclable materials include plastic, PET, glass, metals, and paper and cardboard have accounted for 24.05% of total MSW in Iran.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s11356-020-10104-8DOI Listing

Publication Analysis

Top Keywords

municipal solid
8
solid waste
8
systematic review
8
waste msw
8
paper cardboard
8
total msw
8
msw iran
8
iran
6
msw
6
waste
5

Similar Publications

The present study collected wastewater samples from fourteen (14) full-scale wastewater treatment plants (WWTPs) at different treatment stages, namely, primary, secondary, and tertiary, to understand the impact of WWTP processes on the bacterial community structure, their role, and their correlation with environmental variables (water quality parameters). The findings showed that the bacterial communities in the primary, secondary, and tertiary treatment stages are more or less similar. They are made up of 42 phyla, 84 classes, 154 orders, 212 families, and 268 genera.

View Article and Find Full Text PDF

The tumor microenvironment functions as a dynamic and intricate ecosystem, comprising a diverse array of cellular and non-cellular components that precisely orchestrate pivotal tumor behaviors, including invasion, metastasis, and drug resistance. While unraveling the intricate interplay between the tumor microenvironment and tumor behaviors represents a tremendous challenge, recent research illuminates a crucial biological phenomenon known as cellular mechanotransduction. Within the microenvironment, mechanical cues like tensile stress, shear stress, and stiffness play a pivotal role by activating mechanosensitive effectors such as PIEZO proteins, integrins, and Yes-associated protein.

View Article and Find Full Text PDF

The causal relationship between steroid hormones and risk of stroke: evidence from a two-sample Mendelian randomization study.

Mol Brain

January 2025

Xuanwu Hospital, China-America Institute of Neurology, Capital Medical University, No. 45, Changchun Street, Xicheng District, Beijing, China.

It is unclear how steroid hormones contribute to stroke, and conducting randomized controlled trials to obtain related evidence is challenging. Therefore, Mendelian randomization (MR) technique was employed in this study to examine this association. Through genome-wide association meta-analysis, the genetic variants of steroid hormones, including testosterone/17β-estradiol (T/E2) ratio, aldosterone, androstenedione, progesterone, and hydroxyprogesterone, were acquired as instrumental variables.

View Article and Find Full Text PDF

Development and application of a machine learning-based antenatal depression prediction model.

J Affect Disord

January 2025

Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. Electronic address:

Background: Antenatal depression (AND), occurring during pregnancy, is associated with severe outcomes. However, there is a lack of objective and universally applicable prediction methods for AND in clinical practice. We leveraged sociodemographic and pregnancy-related data to develop and validate a machine learning-based AND prediction model.

View Article and Find Full Text PDF

Background: Sweet's syndrome (SS) or acute febrile neutrophilic dermatosis is a dermatological illness that can be described by tender erythematous plaques or nodules and acute onset fever. The etiology is multifactorial and is not fully understood. SS is separated in three subclasses: classical, malignancy-associated, and drug-induced.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!