Population management in an urban center using the dynamic integrated solution for an adequate atmospheric environmental quality

Chai, Ningli; Mao, Chun

doi:10.1016/j.envres.2021.112482

Cited by 4 publications

(2 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In 2022, the population of African countries exceeded one billion people, with around 44% living in metropolitan areas [UN, 2010[UN, , 2022. According to several previous studies, this urbanization increase is the main cause of many environmental problems such as vegetation decrease and agricultural land loss [López et al, 2001], impervious urban rising [Weng, 2012], evapotranspiration decrease [Chai et al, 2022], environmental pollution [Liu et al, 2022], urban heat island development [Bahi et al, 2016], and many others. In Morocco (Northwest of Africa), very few published studies attempt to develop a composite index to evaluate the ecological quality in an urban context by combining indicators from different aspects such as environmental, socioeconomic, topographic, etc., especially in Moroccan northern cities.…”

Section: Introductionmentioning

confidence: 99%

Urban Ecological Quality Assessment Based on Remote Sensing Data in African Context: A Case Study of Tangier City (Morocco, NW Africa)

Tahiri,

Bahi,

Bouramtane

et al. 2023

Ecol. Eng. Environ. Technol.

View full text Add to dashboard Cite

Climate change, combined with rapid urbanization, can face many challenges in achieving urban ecological sustainability, especially in developing countries. Due to the lack of valuable data, measuring the negative impact of this urban environmental damage, particularly in African cities, is however difficult to investigate. In this context, this research proposes an efficient index, including environmental, societal, and topographic indicators, extracted from remote sensing data, to evaluate the spatial ecological vulnerability of Tangier city in Morocco. This composite index, called the Urban Ecological Quality Index (UEQI), was developed for 2002, 2013, and 2023 in the spring season, using the Principal Component Analysis (PCA) as a multivariate statistical technique. Furthermore, the spatial autocorrelation analysis of the UEQI was performed to study the correlation between the index values and its surroundings, using Global Moran's I and Local Moran's I test statistics. The results show that on the one hand, zones located in the center of the city kept poor ecological quality in the three studied years, where the lack of green spaces and the high population density are the main reasons for this bad state. On the other hand, climate variability, such as precipitation change, directly affects the ecological quality of Tangier city. In fact, from 2002 to 2013, due to Morocco's increased precipitation during this decade, the UEQI improved in 36%, unchanged in 50%, and degraded in 14% of the study area. However, from 2013 to 2023, with more than 52% degraded UEQI, the ecological quality of the city was affected by drought periods, which have been more frequent and intense in this decade, especially in green areas and agricultural land.

show abstract

Section: Introductionmentioning

confidence: 99%

Urban Ecological Quality Assessment Based on Remote Sensing Data in African Context: A Case Study of Tangier City (Morocco, NW Africa)

Tahiri,

Bahi,

Bouramtane

et al. 2023

Ecol. Eng. Environ. Technol.

View full text Add to dashboard Cite

show abstract

“…Accordingly, 780 million people have not access to fresh water, according to the UNICEF and WHO data. 6 Thus, conserving the quality of water resources, 7,8 desalinating saline water, [9][10][11] and treatment of wastewaters [12][13][14][15][16] are substantial trends to keep our ecosystem.…”

Section: Introductionmentioning

confidence: 99%

Application of soft computing in maximization of amoxicillin degradation from contaminated water using solar energy

Fathy

Olabi

Rezk

et al. 2022

Intl J of Energy Research

View full text Add to dashboard Cite

Summary Amoxicillin is a pharmaceutical pollutant that has severe impacts on aquatic life. Traditional treatment methods of Amoxicillin contaminated wastewater are expensive and inefficient. This paper uses soft computing to identify the best operating parameters of the solar photocatalysis process. The target is to maximize the degradation of Amoxicillin from wastewater. The proposed methodology integrates ANFIS modelling and grey wolf optimization (GWO). Three operating parameters are considered: TiO2 (g/L) dosage, initial antibiotic concentration (mg/L), and initial pH to maximize the AMX degradation (%). Based on experimental datasets, ANFIS model is designed to simulate the output solar photocatalysis process in terms of the mentioned operating parameters. The constructed ANFIS model is accurate; the R‐squared values are 0.9982 and 0.9979 for training and testing. Then, using GWO, the best values of TiO2 (g/L), Amoxicillin (mg/L), and pH are determined. The results were compared with an optimized performance by response surface methodology and experimental data to demonstrate the superiority of the suggested methodology. The suggested methodology maximized the Amoxicillin (AMX) degradation by 3% while using higher initial AMX concertation by 60% and 90%, compared with the experimental and RSM methodologies. The results demonstrated the superiority of the proposed method in determining the adequate operating conditions while keeping the same operating conditions of the applied pH and TiO2 concentration.

show abstract

An evaluation framework for urban ecological compensation priority in China based on meta-analysis and fuzzy comprehensive evaluation

Zhong,

Li,

Zhang

et al. 2024

Ecological Indicators

View full text Add to dashboard Cite

Population management in an urban center using the dynamic integrated solution for an adequate atmospheric environmental quality

Cited by 4 publications

References 25 publications

Urban Ecological Quality Assessment Based on Remote Sensing Data in African Context: A Case Study of Tangier City (Morocco, NW Africa)

Urban Ecological Quality Assessment Based on Remote Sensing Data in African Context: A Case Study of Tangier City (Morocco, NW Africa)

Application of soft computing in maximization of amoxicillin degradation from contaminated water using solar energy

An evaluation framework for urban ecological compensation priority in China based on meta-analysis and fuzzy comprehensive evaluation

Contact Info

Product

Resources

About