Sk Ajim Ali- PhD in Geography
- RA (Remote) - Leverhulme & ISPF funded Project at The University of Manchester, Manchester, UK
Sk Ajim Ali
- PhD in Geography
- RA (Remote) - Leverhulme & ISPF funded Project at The University of Manchester, Manchester, UK
Researcher
About
68
Publications
349,009
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2,172
Citations
Introduction
Current institution
The University of Manchester, Manchester, UK
Current position
- RA (Remote) - Leverhulme & ISPF funded Project
Additional affiliations
December 2015 - October 2020
Position
- Senior Researcher
Description
- Skilled in geographic information systems with a track record of working in the computer software industry. competent in GIS, MCDM, Machine Learning, and Statistical Analysis. Strong information technology specialist with certificates in remote sensing and GIS application. Contributed 50 scientific research papers in peer-reviewed international journals on issues pertaining to environmental degradation, waste management and geohazards vulnerabilities. Author of two books on Remote Sensing & GIS.
Education
December 2015 - October 2020
June 2014 - May 2015
The University of Burdwan
Field of study
June 2012 - May 2014
Publications
Publications (68)
Urban heat island (UHI) phenomena are increasingly recognized as the most
evident characteristics of urban climate. The intensity and scale of UHI are
increasing in urban areas with ongoing urbanization. This chapter analyzed
the Bulandshahr city, India, within a time frame of 16 years (2003–2018)
using satellite images of Landsat 7 and 8 for 2...
The Himalayan region is facing unprecedented challenges due to the escalating impacts of climate change, leading to an alarming increase in disaster risk. This study examined the nexus between climate change and the growing frequency and severity of disasters in the Indian Himalayan Region (IHR). From glacial lake outburst floods (GLOFs) to flash f...
This study is a novel attempt to quantify the multifaceted impact of ICH and focused on aspects that are needed to prioritize for preservation and evolution of traditional cultural heritage in the context of longstanding tradition of venerating Goddess Durga in West Bengal, India. Our study area is the idol-making cluster of Kumartuli in Kolkata, s...
Uttarakhand, characterized by its diverse ecological and climatic spectrum, is experiencing significant environmental changes due to shifts in land use and land cover (LULC). These changes have critical implications for the region's ability to act as a carbon sink, which is vital for mitigating climate change. This study focused on evaluating the i...
In the context of global warming, temperature increases have led to frequent drought events and a sharp increase in economic losses and social risks. In this study, five medium- and high-emission scenario models, the SSP245 and SSP585, CMIP6 monthly scale temperature and precipitation datasets under different global warming contexts (1.5 °C and 2 °...
Flood susceptibility mapping plays a crucial role in flood risk assessment and management. Accurate identification of areas prone to flooding is essential for implementing effective mitigation measures and informing decision-making processes. In this regard, the present study used high-resolution remote sensing products, i.e., synthetic aperture ra...
The problem of groundwater depletion has arisen as havoc in countries like India due to expanding intensive agriculture, growing population, and burgeoning urban centres. Delhi is one of the greatest urban agglomerations in the country facing severe groundwater depletion, but the robust methods for modelling the groundwater have not yet been adopte...
The rate of attenuation of sun rays in water is much faster than in the atmosphere. This rate of attenuation also varies in different water bodies due to n number of factors. Therefore, transparency is a significant environmental factor for a given water body. The thickness of illuminated layer of water is called euphotic layer or Zeuph. It represe...
Health effects are related globally to water quality. The residents of Aligarh city are solely rely on groundwater for drinking and domestic purposes. The aim of the study was to find out association between ground water quality and water borne diseases. For this purpose, the present study evaluated physicochemical quality of drinking water. The wa...
For all living things, water is one of the most important supplies. We require water for a variety of things, including food production, personal hygiene, electrical generation, fire control and most importantly, survival. Despite being a renewable resource, clean water shortage is a major problem in many regions of the world. Sustainable water man...
Assam, a north-eastern state of India is vulnerable to floods and other natural calamities due to its wide-ranging network of river system that have a detrimental effect on the state's overall growth. Every year, during the monsoon season, the Brahmaputra and Barak Rivers, which receive water from more than 50 tributaries, produce severe floods. Di...
The present study aimed to assess the impacts of land cover on groundwater quality by integrating physico-chemical data and satellite imageries. Initially, fourteen groundwater parameters of both pre-monsoon and post-monsoon were collected from nineteen sampled stations and water quality index (WQI) was calculated. Consequently, Google earth, Lands...
Stewart and Oke’s local climate zone (LCZ) is one of the commonly used international standards for analysing urban morphology and the resulting urban heat island phenomena. In-situ measurements, GIS-based calculations, and remote sensing image-based computations are the most common approaches for LCZ mapping. There are, however, just a few studies...
Landslide vulnerability prediction maps are among the most important tools for managing natural hazards associated with slope stability in river basins that affect ecosystems, properties, infrastructure and society. Landslide events are among the most hazardous patterns of slope instability in the coastal mountains of Syria. Thus, the main goals of...
This research aims to determine the flood potential mapping within Golestan Province in Iran, applying six novel ensemble techniques guided by the multi-criteria decision-making (MCDM), bivariate statistics, and artificial neural network methods. The combinations of Combined Compromise Solution (COCOSO), Multi-Attributive Border Approximation Area...
The system of observation and capturing the earth resource features have been improving with the scientific revolution and technological development in remote sensing techniques. In comparison with the previous Landsat series, Landsat 8 OLI and TIRS (Operational Land Imager and Thermal Infrared Sensor) is the latest applications of thermal infrared...
This research looked at how remote sensing (RS) and geographic information systems (GIS) may be used together to analyse and model urban expansion in Bulandshahr. The analysis was based on data obtained from Landsat 7 and 8 satellite photographs during a 16-year period. Because of their capacity to give immediate and synoptic views of the surface,...
The quality of groundwater in the Jaunpur district of Uttar Pradesh is poorly studied despite the fact that it is the only supply of water for both drinking and irrigation and people use it without any pre-treatment. The evaluation of groundwater quality and suitability for drinking and irrigation is presented in this study. Groundwater samples wer...
COVID-19 has had an impact on the entire humankind and has been proved to spread in
deadly waves. As a result, preparedness and planning are required to better deal with the
epidemic’s upcoming waves. Effective planning, on the other hand, necessitates detailed
vulnerability assessments at all levels, from the national to the state or regional. The...
There is evidence that human activities are affecting global dynamics. The consequences of changes in the duration of the annual seasons and daily temperatures will imply drastic impacts on human and natural ecosystems. However, estimations related to the duration of the seasons considering the daily temperatures are scarce and could help to forese...
All sort of vegetation is highly responsive to climatic factors and therefore distribution and redistribution of vegetation is bound to be affected by the change in the climatic conditions. The present episode of climate change is rapid in nature with it fastest temperature rise in Himalayas after poles on the earth, rendering vegetation of this re...
Gully erosion is a serious threat to the state of ecosystems all around the world. As a result, safeguarding the soil for our own benefit and from our own actions is a must for guaranteeing the long-term viability of a variety of ecosystem services. As a result, developing gully erosion susceptibility maps (GESM) is both suggested and necessary. In...
Flood is considered as the most devastating natural hazards that cause the death of many lives worldwide. The present study aimed to predict flood vulnerability for Warsaw, Poland, using three machine learning models, such as the Bayesian logistic regression (BLR), the artificial neural networks (ANN), and the deep learning neural networks (DLNNs)....
This study examined landslide susceptibility, an increasingly common problem in mountainous regions across the world as a result of urbanization, deforestation, and various natural processes. The Rangit River watershed in Sikkim Himalaya is one of the most landslide-prone areas in India. The main objective of this study was to produce landslide sus...
Advances in the availability of multi-sensor, remote sensing-derived datasets, and machine learning algorithms can now provide an unprecedented possibility to predict flood events and risk. Therefore, this study was undertaken to develop a flood vulnerability map and to assess the exposure of buildings to flood risk in Warsaw, the capital of Poland...
The COVID-19 pandemic has a negative impact on the environment. Waste generation and improper management during the COVID-19 pandemic posed a major threat to human health and the environment. Irregular and improper waste collection, handling, suspension of waste recycling and unsanitary disposal were all important issues in the processing and manag...
Water is basic for sustenance of life on the planet. Earth is known as blue planet due to abundance of water yet very small proportion of it is available in the form of freshwater which is usable for various human needs. Developing countries lack proper infrastructure to check water quality and to avail it to all leaving people battling for this ve...
Disposal of waste without treatment is the least preferable way of sustainable solid waste management (SWM). But most cities in developing nations still use open dumps, causing negative impacts on the environment and human health. This study offered a novel approach for selecting landfill sites and sustainable SWM in Aligarh city, India. This was d...
The water quality of rivers is deteriorating due to human interference. It is essential to understand the relationship between human activities and land use types to assess the water quality of a region. GIS is the latest tool for analyzing this spatial correlation. Land use land cover, and change detection are the best illustration for showing the...
The present study aims to enrich the specialized literature by proposing and calculating a new flash-flood propagation susceptibility index (FFPSI). Thus, firstly the Flash-Flood Potential Index (FFPI) using the ensembles of the next models was calculated: Weights of Evidence (WOE), Analytical Hierarchy Process (AHP), Logistic Regression (LR), Clas...
The present study aimed to assess the impacts of land cover on groundwater quality by integrating physico-chemical data and satellite imageries. Initially, fourteen groundwater parameters of both pre-monsoon and post-monsoon were collected from nineteen sampled stations and water quality index (WQI) was calculated. Consequently, Google earth, Lands...
The water quality of the river is becoming deteriorated due to human interference. It is essential to understand the relationship between human activities and land-use types to assess the water quality of a region. GIS has the latest tool for analyzing the spatial correlation. Land use land cover and change detection is the best illustration to sho...
An arid climate and lacking adequate flood management systems are the main reasons for flash flood events in arid and semi-arid areas. The study area is a part of the Sinai Peninsula in Egypt, Wadi Gharandal subjected to several flooded events during the past decades. The present study incorporated hydrologic indices and morpho-tectonic parameters...
Recently, one of the most frequent natural hazards around several regions in the world is the landslide events. The area of Jabal Farasan in the northwest Jeddah of Saudi Arabia suffers from landslide events. The main cause of these events was identified due to the anthropogenic activities represented by mining activities. In this work, different m...
This paper is intended to assess the flood-induced landslide susceptibility in the Indian state of Assam. This study area has high frequency and severity of landslides that are triggered by heavy rainfall and floods. In order to obtain the results, two machine learning models (XGBoost and DLNN) and one of the fuzzy-multi-criteria decision making me...
Landslides are dangerous events which threaten both human life and property. The study aims to analyze the landslide susceptibility (LS) in the Kysuca river basin, Slovakia. For this reason, previous landslide events were analyzed with 16 landslide conditioning factors. Landslide inventory was divided into training (70% of landslide locations) and...
Landslides are dangerous events which threaten both human life and property. The study aims to analyze the landslide susceptibility (LS) in the Kysuca river basin, Slovakia. For this reason, previous landslide events were analyzed with 16 landslide conditioning factors. Landslide inventory was divided into training (70% of landslide locations) and...
Disposal of collected waste is the least preferable way of sustainable solid waste management. But most of the cities in developing nations prefer to use open dumping in an inappropriate and non-scientific way, causing negative impacts on the environment as well as human health. This study offers a novel approach for scientific landfill site select...
Hazards and disasters have always negative impacts on the way of life. Landslide is an overwhelming natural as well as man-made disaster that causes loss of natural resources and human properties throughout the world. The present study aimed to assess and
compare the prediction efficiency of different models in landslide susceptibility in the Kysu...
Backwardness is the result of different factors that exist in a society. The present study focused on infrastructural facilities and basic amenities to estimate the spatial distribution of backward areas in the Murshidabad district of West Bengal, India. An adequate supply of infrastructure has long been essential for economic development for both...
Sanitary landfill is still considered as one of the most significant and least expensive methods of waste disposal. It is essential to consider environmental impacts while selecting a suitable landfill site. Thus, the site selection for sanitary landfill is a complex and time-consuming task needing an assessment of multiple criteria. In the present...
The world has now facing a health crisis due to outbreak of novel coronavirus 2019 (COVID-19). The numbers of infection and death have been rapidly increasing which result in a serious threat to the social and economic crisis. India as the second most populous nation of the world has also running with a serious health crisis, where more than 8,300,...
Landslides are dangerous events which threaten both human life and property. The study aims to analyze the landslide susceptibility (LS) in the Kysuca river basin, Slovakia. For this reason, previous landslide events were analyzed with 16 landslide conditioning factors. Landslide inventory was divided into training (70% of landslide locations) and...
The government authorities in developing countries are awfully concerned with coping out the problems of the rising issues related to the disposal of solid wastes. Most of the Indian cities still dispose of solid waste unscientifically causing to severe environmental as well as public health problems. Geographic information systems (GIS) and analyt...
Flood is a devastating natural hazard that may cause damage to the environment infrastructure, and society. Hence, identifying the susceptible areas to flood is an important task for every country to prevent such dangerous consequences. The present study developed a framework for identifying flood-prone areas of the Topľa river basin, Slovakia usin...
The varieties of water-borne disease are caused by pathogens transmitted and spread by different routes. The spread of such infection increases while the water quality affected by external sources. Changes in the quality of water can influence the dynamics of microbial pathogens which can also influence the prevalence and transmission dynamics of w...
One of the most important challenges in solid waste management throughout the world is selection of suitable landfill sites. It is essential for solid waste management, because unscientific dumping and landfilling of waste could negatively impact the environment and human health. This research presents a GIS-based multi-criteria decision support ap...
Healthcare accessibility and site suitability analysis is an elongated and complex task that requires evaluation of different decision factors. The main objective of the present study was to develop a hybrid decision-making approach with geographic information systems to integrate spatial and non-spatial data to form a weighted result. This study i...
Accurate prediction of municipal solid waste (MSW) generation is indispensable for effective municipal solid waste management (MSWM) plans including the selection of appropriate waste treatment methods, allocation of resources in waste collection, storage, processing, transportation, and waste disposal. Due to uncertainties and unavailability of am...
The environmental degradation is the deterioration of the environment through depletion of resources which includes all the biotic and abiotic element that form our surrounding that is air, water, soil, pant animals, and all other living and non-living element of the planet of earth. The major factor of environmental degradation is human (modern ur...
Cyclones are one of the devastating natural hazards in the earth that have extensive consequences on both life and livelihood. Assessment of cyclone risk is important not only for the survival of people but also for designing adaptation strategies in major cyclone-prone areas. Risk can be defined as the integrated function of vulnerability, hazard,...
Forecasting the quantity of municipal solid waste generation is an essential task for sustainable solid waste management and strategy implementation. The estimation of future waste generation rates can help to motivate for analyzing gaps in existing waste management and better planning strategies. Improper management and unsafe disposal of solid wa...
Flood is one of the most devastating natural calamities with environmental and socio-economic impacts. Comprehensive flood management is essential to reduce the flood effects on human lives and livelihoods. The main objective of this study was to examine the capability of geographic information system (GIS) in coupling with analytic hierarchy proce...
The prevalence of vector-borne diseases (VBDs) like malaria and dengue claims many parts of the capital city Kolkata. Although the frequency of affects has been declining, still several cases are still reported from different parts of Kolkata Municipal Corporation. The present study aimed to apply multi-criteria decision making (MCDM) approach alon...
Analysis of Chemical and Heavy Metal Concentrations of Leachates and Impact on Groundwater Quality Near Dhapa Dumping Ground, Kolkata
Mosquito-borne diseases are those which transmitted through the bite of an infected mosquito. Stagnant water bodies are often preferable for breeding sites of mosquitos. But from breeding eggs to final stage, there are many factors responsible for its incubation, maturation and growth enough to bite and transmit diseases. The main aim of present st...
This paper presents a general over view of the current Solid Waste (MSW) management in Kolkata Municipal Corporation (KMC), West Bengal. Solid waste management is one of the most challenging issues in urban cities at present scenario, which are facing a serious pollution problem due to the generation of huge quantities of solid waste. The KMC gener...
Detecting and mapping of Dengue risk areas is a complex, tiring, multifaceted and protracted task requiring evaluation of many criteria. It is not sure that always one single factor is liable for Dengue Fever transmission in all areas, but it differs with changing geographical location. This paper presents the application of analytic hierarchy proc...
This paper studies to show the gap in income between present traditional cultivation and integrated farming system in the remote cultivated areas of Burdwan District, as well as the prosperous feasibilities in implementation of sustainable integrated farming for rural development. The whole analysis is based on primary and secondary data. The prima...
Electronic Waste (E-Waste) describes the discarded electronic substances and electrical devices. Informal disposal method and processing of electronic waste in many cities may cause serious health impacts and environmental problems. The present study is an attempt to overview on E- Waste generation and its hazardous impacts on environmental compone...
Questions
Questions (6)
I am pleased to inform you that my book proposal, "Climate Change and Disadvantaged Communities: Challenges and Opportunities," has been accepted by CRC Press, Taylor & Francis Group, LLC, and it is my pleasure to invite you to contribute a chapter to the upcoming edited book. This book aims to explore the multifaceted impacts of climate change on vulnerable populations, emphasizing both the challenges these communities face and the innovative opportunities to build resilience and equity in the face of a changing climate.
The book will bring together diverse perspectives from scholars, practitioners, and policymakers to examine critical themes such as socio-economic disparities, environmental justice, adaptation strategies, and the intersection of traditional knowledge with modern approaches. Your expertise would make a valuable contribution to this volume, enriching the discourse with insights and solutions drawn from your research and experience.
I believe this publication will serve as a vital resource for advancing knowledge and inspiring action in addressing climate-related inequalities. If you are interested, please confirm with me. I would be delighted to provide further details about the submission guidelines.
Thank you for considering this invitation, and I look forward to the possibility of your participation.
For any query, please contact:
skajimali.saa@gmail.com.
Dear Colleagues,
The Journal of Autonomous Intelligence (ISSN: 2630-5046) is currently running a Special Issue entitled "Artificial Intelligence in Geographic Information Systems (AI GIS)". Dr. Sk Ajim Ali is serving as a Guest Editor for this issue. I think you could make an exceptional contribution based on your expertise in the particular field.
Review articles and original research papers and short communication are welcome. Topics of interests include, but are not limited to, the following:
· Geographic information systems and artificial intelligence
· Forecasting the energy potential using AI GIS
· Site suitability modeling by applying image processing and analysis algorithms (Geo-AI)
· Role of AI GIS in assessing air quality and monitoring
· AI in geospatial analysis
· Geo-AI applications in health and healthcare
· AI to improve the food and agriculture sector
· AI GIS for Geohazards assessment and monitoring
· AI GIS and climate change challenges
· AI GIS application in road networks management and transport geography
· Crime mapping using AI GIS
· AI GIS for seismic model
· AI GIS in sustainable development goals
We are looking forward to receiving your contributions.
Dr. Sk Ajim Ali
Guest Editor
Dear Colleagues,
The journal Water (ISSN: 2073-4441, IF 3.530) is currently running a Special Issue entitled “Artificial Intelligence and Machine/Deep Learning for Hydro-Meteorological Forecasting”. Dr. Quoc Bao Pham, Dr. Sk Ajim Ali, Dr. Sani Isah Abba and Dr. Rana Muhammad Adnan Ikram are serving as Guest Editors for this Special Issue. We think you could make an exceptional contribution based on your expertise in this particular field.
Scientists can benefit from the use of artificial intelligence systems, machine learning, neural networks, and deep learning while performing complex tasks such as weather forecasting. These technologies are very versatile and have been demonstrated to be more accurate than conventional methods at predicting weather patterns. Systems can be given a large amount of information, and after analysing the data they receive, they can learn to recognise natural phenomena, such as hurricanes, storms, snowfalls, and much more.
Thus, this Special Issue aims to provide an outlet for high-quality peer-reviewed publications that implement state-of-the-art models and techniques that incorporate AI- and ML-based methods to map, evaluate, and model hydro-meteorological forecasting, its monitoring, and their implications together, with the framing of newer hypotheses that can further our understanding of operative processes.
Suggested themes and article types for submissions
The Special Issue may include (without being limited to) the following themes:
- Artificial intelligence in Hydro-meteorology;
- Data-driven approach for hydro-meteorological modelling;
- Machine and deep learning in micro-climate assessment;
- AI and machine learning for weather predictions;
- Spatio-temporal hydrological extremes through AI and machine learning;
- Machine learning for weather and climate;
- Monitoring hydrological hazards through remote sensing, GIS and machine learning;
- Artificial intelligence for disaster risk reduction;
- Potential of deep learning in multi-hazard assessment.
Given your competence in this area, we invite you to contribute a paper on the aforementioned subjects or any relevant issues.
Dr. Quoc Bao Pham
Dr. Sk Ajim Ali
Dr. Sani Isah Abba
Dr. Rana Muhammad Adnan Ikram
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
The journal Remote Sensing (ISSN 2072-4292, IF 5.349) is currently running a Special Issue entitled, “Remote Sensing Applications in Flood Forecasting and Monitoring.” Dr. Sk Ajim Ali, Dr. Bahram Choubin, Dr. Farhana Parvin, Dr. Quoc Bao Pham, and Dr. Meriame Mohajane are serving as Guest Editors for this issue. We think you could make an exceptional contribution based on your expertise in this particular field.
Considering all these advantages of remote sensing, the main objective of this Special Issue is to provide a scientific forum for advancing the successful application of remote sensing (RS) technologies and geographic information system (GIS)-based methods toward flood forecasting and monitoring in various flood-prone terrains on Earth, as well as to foster informed discussions among scientists and stakeholders on this pressing issue.
This Special Issue aims to provide an outlet for high-quality peer-reviewed publications that implement state-of-the-art methods and techniques incorporating geoinformatics-based methods to map, evaluate, and model flood forecasting, its monitoring, and their implications, together with the framing of newer hypotheses that can further understandings of the operative processes.
The Special Issue may include (without being limited to) the following themes:
- The role of remote sensing in flood assessment and risk management;
- Flood disaster studies with a remote sensing perspective;
- Flood preparedness and remote sensing: flood forecasting;
- Remote sensing in flood emergency mapping (FEM) for disaster response;
- Climate change and floods;
- Estimation of future floods based on urban land use and land cover;
- Mapping, assessing, and monitoring the floods in urban and coastal areas;
- Remote sensing and glacial lake outburst floods (GLOFs);
- Remote sensing and the flood early warning system (FEWS);
- Urbanization and urban flood prediction.
Given your competence in this area, we invite you to contribute a paper on the aforementioned subjects or any relevant issues.
With best regards,
Dr. Sk Ajim Ali
Dr. Bahram Choubin
Dr. Farhana Parvin
Dr. Quoc Bao Pham
Dr. Meriame Mohajane
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
