Article
Environmental Sciences
Aminu Ibrahim, Azimah Ismail, Hafizan Juahir, Aisha B. Iliyasu, Balarabe T. Wailare, Mustapha Mukhtar, Hassan Aminu
Summary: This study investigates the sources of pollution that cause spatial variation and develops the best input for water quality modelling using PCA and ANN. The dataset consists of 22 water quality parameters obtained from DOE. PCA generates six significant principal component scores (PCs) explaining 65.40% of the total variance. ANN models are developed to predict water quality index (WQI) with high precision, and the ANN A model has the best prediction capacity. These methods can be used for decision-making and problem-solving in river quality management.
MARINE POLLUTION BULLETIN
(2023)
Article
Environmental Sciences
Ahmed S. Abuzaid, Hossam S. Jahin
Summary: In this study, the integration of multivariate statistical analysis with the analytical hierarchical process was used to estimate the water quality status in the northern Nile Delta in Egypt. The results indicated that water contamination was influenced by human activities and hydrochemical processes, and the water quality varied for irrigation and fish farming. The findings suggested that it is possible to reduce the time and cost for monitoring water quality, but increasing the sampling size is crucial for better performance in fish farming.
JOURNAL OF CONTAMINANT HYDROLOGY
(2022)
Article
Environmental Sciences
Motahareh Esfandiari, Mohammad Ali Hakimzadeh
Summary: This research assessed the concentrations of heavy elements in the deposited atmospheric dust at bus terminals in Yazd, Iran. The study found that the abundance of metals varied with the location and identified two main sources of heavy metals in the dust. The results suggested that industrialization and human activities contribute to the heavy metal contamination of the environment in Yazd.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Zeynab Ghaemi, Masoud Noshadi
Summary: This study used multivariate statistical methods to analyze the physicochemical parameters of 34 rivers over a 17-year period and divided the study area into different sub-regions based on water quality. The study identified sources of water contamination and classified the dominant water types in each zone. A risk assessment was conducted to evaluate the health risks associated with drinking water, with chloride identified as a potential risk factor. Principal component analysis was used to identify important parameters in water quality.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2022)
Article
Biodiversity Conservation
Shuang Gan, Min Zhang, Kaining Yu, Yahong Zhou, Baizhong Yan
Summary: This study evaluated the groundwater quality in Huangbizhuang town, an important water source for Shijiazhuang and Beijing, China. The overall water quality was found to be good, suitable for drinking and irrigation. The study compared two weighting methods and found that the principal component analysis weighting method is more objective and suitable for the study area. Multivariate statistical analysis showed that groundwater pollution is caused by both point source and non-point source pollution.
HUMAN AND ECOLOGICAL RISK ASSESSMENT
(2023)
Article
Environmental Sciences
Jing Lu, Jiarong Gu, Jinyang Han, Jun Xu, Yi Liu, Gengmin Jiang, Yifeng Zhang
Summary: This study assessed the water quality of the Yangtze River using PCA, HCA, and WQI, and identified the key parameters influencing water quality. The results showed that most monitoring stations had good water quality, with a gradual decrease from upstream to downstream.
Article
Environmental Sciences
Sanat Das, Rajib Sarkar
Summary: This study focused on the spatiotemporal trends of water quality in a section of the Bhagirathi-Hugli River, West Bengal, using geospatial technology and integrated statistical methods. The results showed that water quality is significantly influenced by seasonal and anthropogenic factors, leading to a certain degree of pollution, and rural areas have better water quality than industrial and urban areas.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Mustafa El-Rawy, Heba Fathi, Fathy Abdalla, Fahad Alshehri, Hazem Eldeeb
Summary: Jazan province in Saudi Arabia is facing significant challenges in water management due to its arid climate, limited water resources, and growing population. A study was conducted to assess the adaptability of groundwater for irrigation using hydro-chemical parameters and PCA. The results showed the importance of incorporating different techniques to understand and control groundwater quality in the study area.
Article
Environmental Sciences
Malte Lorenz, Hong Quan Nguyen, Trong Dieu Hien Le, Stephanie Zeunert, Duc Huy Dang, Quang Dung Le, Huyen Le, Guenter Meon
Summary: Temporal and spatial water quality data are crucial for assessing human health risks. The study reveals improvements in water quality parameters after pollution abatement in 2008, but with significant increase in nitrate concentration. Principal component analysis highlights the influence of factors like soil erosion, stormwater runoff, dissolved oxygen, nitrification, denitrification, point source pollution, and seawater dilution on the water quality of the Thi Vai Estuary.
Article
Green & Sustainable Science & Technology
Pengfei Zhang, Menglin Xiao, Yanyan Dai, Zhaorui Zhang, Geng Liu, Jingbo Zhao
Summary: Water resources are scarce in the Northeastern Loess Plateau, but water cellar water (WCW) serves as a vital water source in the region. The study evaluated the quality of WCW by analyzing different factors such as rainfall catchment areas, depths, and storage times. Results showed that the quality of WCW varied depending on the factors considered, with the highest water quality observed in the rainwater harvesting catchment area of tile roof + cement ground. The study also found that water quality improved with increased depth of WCW.
Article
Environmental Sciences
Sameer Arora, Ashok K. Keshari
Summary: This study used multivariate statistical analysis to identify variability in water quality parameters of a river system, applying HACA and PCA to characterize the parameters and identify significant pollution sources. The research highlights the importance of multivariate statistical techniques in understanding parameter variability and developing management strategies to improve river water quality.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2021)
Article
Environmental Sciences
Ru Cao, Yuxin Wang, Jing Huang, Qiang Zeng, Xiaochuan Pan, Guoxing Li, Tianfeng He
Summary: The study found that the CRI-AQHI had the best goodness of fit and most robustly captured the overall health risk of pollution mixtures among different cause-specific mortalities.
ENVIRONMENTAL RESEARCH
(2021)
Article
Engineering, Environmental
Werther Guidi Nissim, Emily Palm, Camilla Pandolfi, Stefano Mancuso, Elisa Azzarello
Summary: The study found that the poplar clone 'Orion' is more suitable for the phytoremediation of toxic landfill leachate, and the Leachate Pollution Index (LPI) can be used to determine the optimal LL irrigation levels for treatment.
Article
Computer Science, Information Systems
Md. Saikat Islam Khan, Nazrul Islam, Jia Uddin, Sifatul Islam, Mostofa Kamal Nasir
Summary: This paper presents a water quality prediction model using principal component regression technique and gradient boosting classifier. The model achieves accurate prediction of water quality index and classification of water quality status through principal component analysis and parameter extraction.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Environmental Sciences
Nguyen Thanh Giao, Phan Kim Anh, Huynh Thi Hong Nhien
Summary: The study analyzed the water quality of rivers and canals in Dong Thap province, focusing on key parameters affecting water quality, and identified potential water pollution sources that need to be continuously monitored.
Article
Construction & Building Technology
Rajiv Ganguly, Divyansh Sharma, Prashant Kumar
SUSTAINABLE CITIES AND SOCIETY
(2019)
Article
Engineering, Environmental
Anchal Sharma, Rajiv Ganguly, Ashok Gupta
JOURNAL OF ENVIRONMENTAL ENGINEERING
(2020)
Article
Environmental Sciences
Prachi Vasistha, Rajiv Ganguly
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2020)
Article
Green & Sustainable Science & Technology
Rajiv Ganguly, Divyansh Sharma, Prashant Kumar
Summary: The study found that the lockdown measures in the three megacities of India significantly reduced pollutant concentrations, with Kolkata showing the largest decrease in PM10 concentrations, Delhi having the worst air quality, and Mumbai showing the highest decrease in NO2.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2021)
Article
Environmental Sciences
Prachi Vasistha, Rajiv Ganguly
Summary: Water is the most important commodity on earth, but increased pollution has reduced its potability. The use of GIS modelling in collaboration with traditional methods can be a cost-effective tool to monitor and evaluate water quality, as demonstrated in this study on two lakes in Haryana. Parameters like temperature, dissolved oxygen, nitrates, and total phosphorous were interpolated to determine the overall water quality status for the lakes, showing variations influenced by pollution sources and hydrodynamic processes.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Vishal Bhadauria, Dipteek Parmar, Rajiv Ganguly, Abhinav Kumar Rathi, Prashant Kumar
Summary: Regular use of incense, earthen lamps, and cremation activities lead to the release of particulate matter and air pollutants. This study assessed the emissions of PM2.5 and the corresponding exposure to fill the gap in our understanding of these activities' emissions and exposure levels.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Durg Vijay Yadav, Dipteek Parmar, Rajiv Ganguly, Saurabh Shukla
Summary: Accurately evaluating the performance of wastewater treatment plants is challenging due to the complexity of the processes and variables involved. Traditional methods that consider only one variable at a time can lead to incorrect assessments. The data envelope analysis (DEA) method is a suitable tool for assessing the relative efficiency of treatment plants as it can handle multiple variables. This study used the tolerance-based DEA model to assess the efficiency of 30 STPs in Delhi, India. The results highlighted the importance of considering uncertainty and showed that slight changes in input data can impact efficiency results.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2022)
Article
Biodiversity Conservation
Saurabh Shukla, Ramsha Khan, Sanjeev Kumar Varshney, Rajiv Ganguly, Vahab Amiri, Chaudhery Mustansar Hussain, Sekar Selvam, Venkatramanan Senapathi, Balasubramani Ravindran, Shankar Karuppannan, Prosun Bhattacharya, Mohan Lal Dotaniya
Summary: The present study aimed to assess the groundwater quality and its impact on sustainable crop productivity in an agriculturally dominant semi-urban area. The results showed that the groundwater was slightly alkaline and moderately hard, with elevated levels of nitrate contamination. Nitrate concentrations exceeded 45 mg/L in 46% of the samples, posing a health risk to both adults and children. The study highlights the need for interventions to reduce exposure to nitrate-contaminated drinking water and improve agricultural practices to enhance crop productivity in the affected areas.
HUMAN AND ECOLOGICAL RISK ASSESSMENT
(2023)
Article
Multidisciplinary Sciences
Shubham Chandra, Rajiv Ganguly
Summary: Due to urbanization and globalization, the world is facing significant environmental challenges, with increasing anthropogenic emissions of greenhouse gases such as carbon dioxide and methane. Open dumping of municipal solid waste contributes to the generation of these gases, especially methane, which has a high potential for energy generation. This study assesses the landfill gas generation, specifically methane potential, from the municipal solid waste generated in Kanpur city using the LandGEM 3.02 model. The results show that there is a high potential to control greenhouse gas emissions by utilizing the methane generated for energy production.
Article
Multidisciplinary Sciences
Anchal Sharma, Rajiv Ganguly, Ashok Kumar Gupta
Summary: Improper disposal of waste poses a significant environmental threat, and it is important to address this issue. This study used Life Cycle Assessment to evaluate the environmental impacts of different waste management scenarios and found that certain scenarios could reduce greenhouse gas emissions, acidification potential, eutrophication potential, and human toxicity potential.
Article
Engineering, Environmental
Rajiv Ganguly, Divyansh Sharma, Prashant Kumar, B. R. Gurjar
Summary: This study examines the impact of vehicular pollution on urban air quality and compares the performance of two air quality dispersion models in predicting pollutant concentrations, providing a foundation for improving the prediction of concentration peaks.
JOURNAL OF HAZARDOUS TOXIC AND RADIOACTIVE WASTE
(2021)
Article
Geosciences, Multidisciplinary
Rishi Rana, Rajiv Ganguly
ARABIAN JOURNAL OF GEOSCIENCES
(2020)
Proceedings Paper
Materials Science, Multidisciplinary
Prachi Vasistha, Rajiv Ganguly
MATERIALS TODAY-PROCEEDINGS
(2020)
Article
Engineering, Environmental
Anchal Sharma, Rajiv Ganguly, Ashok Kumar Gupta
JOURNAL OF HAZARDOUS TOXIC AND RADIOACTIVE WASTE
(2019)
Article
Environmental Sciences
Anchal Sharma, Rajiv Ganguly, Ashok Kumar Gupta
INTERNATIONAL JOURNAL OF RECYCLING OF ORGANIC WASTE IN AGRICULTURE
(2019)
