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GIS and Remote Sensing

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Volume XXIII |
Climatology, GIS and Remote Sensing

Mapping desertification susceptibility in the Hodna watershed Algeria, using a remote sensing-based logistic regression approach

1,, 1, 2, 3, 1

Abstract: This study aims to identify regions prone to desertification in the Hodna basin, which covers a vast area of the vulnerable Algerian Steppes. Thirteen factors were selected as independent variables: geomorphological factors (wind and water erosion, Topographic Position Index (TPI), Drainage Density, Slope, Aspect, Elevation), environmental factors (Normalized Difference Vegetation Index (NDVI) and Evapotranspiration), soil factors (Land surface Temperature (LST) and Normalized Difference Salinity Index (NDSI), and socio-economic factors (the Human Influence Index (HII) and the Livestock. Due to the lack of previous desertification data, NDVI anomalies served as the dependent variable. all of the variables were mainly derived using remote sensing techniques and a logistic regression model was applied for analysis in the R environment for desertification susceptibility mapping, displaying stable predictive power with a Receiver Operating Characteristic (ROC) curve of 0.76. Unlike the Northern part of the Mediterranean, where water erosion is predominant, wind erosion and soil salinization emerged as key factors in this study, while the socio-economic factors had less influence than anticipated. The resulting map shows that 45.4% of the basin is highly to very highly susceptible to desertification, provinding essential data for targeted intervention strategies.

Keywords: , , , ,
Full article 10.5775/fg.2024.1.3629Dates:
Received: 08-12-2023 Accepted: 28-06-2024 Printed: 30-07-2024 Online: 07-08-2024
Affiliations:
  • 1 Department of Urban Techniques and Environment, Institute of Urban Techniques Management, University of Constantine 3, Geo-prospective, Environment, and Development Laboratory, Constantine, Algeria
  • 2 Centre de Recherche en Aménagement du Territoire (CRAT), Campus Zouaghi Slimane, Route de Ain el Bey, 25000 Constantine, Algérie
  • 3 Department of Geomorphology, Pedology, Geomatics, Faculty of Geography, University of Bucharest, Bucharest, Romania
Corresponding author:
  • takkieddine.kharchi@univ-constantine3.dz
Author contributions: Conceptualization, T.K.; methodology, T.K., M.C. and M.Y.; formal analysis, C.B., F.G and M.C; investigation, T.K. and M.Y; writing—original draft preparation, T.K.; writing—review and editing, C.B. and F.G and M.C. All authors have read and agreed to the published version of the manuscript.Declaration of interests: The authors declare no conflict of interest.
Citation:
APA 6 | Harvard 2008 | Turabian 6 | MLA 7
RIS | BibTeX
Funding: This research received no external funding.
Copyright: © 2024 The Author(s). Published by Forum geografic.
Provided under the Creative Commons Attribution-NonCommercial-NoDerivatives License.
Open Access article.
Volume XXIII |
GIS and Remote Sensing, Hydrology

Simulation of flood hazard in the semi-urban and urban using GIS and HEC-RAS of Wadi Nagues (Tebessa, North-Eastern Algeria)

1,, 2,

Abstract: Floods are considered one of the most significant natural threats to cities and their infrastructure, especially when urban resilience is weak of floods, due to both human and natural factors. This is the case in the Algerian city of Tebessa, where urban resilience is low in the watershed of Wadi Nagues, which divides the city from north to south. Informal expansion along the riverbanks and inadequate city infrastructure increases the risk of flooding in the city. This study aims to identify the factors that increase flood hazards in Wadi Nagues and analyze maximum daily rainfall values to determine the maximum flood flow and volume during different return periods of 10, 50, 100, and 200 years, in order to map the floodplain of the river. This is accomplished using Geographic Information Systems (GIS) and HEC-RAS software for flood simulation. The results of the flood simulation in Wadi Nagues show that river waters inundate the southern areas of informal expansion, the airport, the railway, Houari Boumediene neighborhoods, and the Constantine Road – which is an economic artery for the city. The peak flow reaches 86.82 m³/h, and the volume of flow is 159.20 m³/s, in a during a 200-year return period. Field surveys also reveal several other human factors that increase the risk of flooding, such as informal expansion, lack and weakness of flood protection hydraulic structures, and poor river water cleanliness. This necessitates intervention to protect the city from flood hazard.

Keywords: , , , , ,
Full article 10.5775/fg.2024.1.3625Dates:
Received: 16-11-2023 Accepted: 20-02-2024 Printed: 30-07-2024 Online: 07-08-2024
Affiliations:
  • 1 Urban Technicals Management Institute, Salah boubnider Constantine 3 University, Constantine, 25000, Algeria
  • 2 Department of Earth and Universe Sciences, Faculty of Exact and Life Sciences, Sheikh Arab University of Tebessa, Tebessa, Algeria
Corresponding author:
  • kheireddine.djedaiet@univ-constantine3.dz
Author contributions: Conceptualization, KD and AG.; methodology, KD; formal analysis, KD; investigation, AG; writing—original draft preparation, AH, KD; writing—review and editing, AH and KD. All authors have read and agreed to the published version of the manuscript.Declaration of interests: The authors declare no conflict of interest.
Citation:
APA 6 | Harvard 2008 | Turabian 6 | MLA 7
RIS | BibTeX
Funding: This research received no external funding.Acknowledgements: I extend my sincere thanks to the Directorate of Civil Protection of Tebessa State for providing us with pictures of the Wadi Nagues floods in 2018.
Copyright: © 2024 The Author(s). Published by Forum geografic.
Provided under the Creative Commons Attribution-NonCommercial-NoDerivatives License.
Open Access article.
Volume XXII |
GIS and Remote Sensing, Hydrology

Flood risk modelling using HEC-RAS and GIS in the semi-urban water-shed of Oued Ziad (Constantine, North-Eastern Algeria)

1,, 2, 3, 4, 5

Abstract: The study of flood risk in Algerian cities has become essential given the multiple issues at stake (urbanization, urban sprawl, easements, infrastructure, soil structure, etc.), which constitute vulnerable elements, as well as their frequen-cy and repetition in time and space. This has become a problem for the city and the urban environment, particularly in large metropolises such as Constantine. The watershed of Oued Ziad located in the northwestern part of the city of Constantine has experienced exceptional flooding, causing loss of life and property in the Jebli Ahmed agglomeration in the Hamma Bouziane township. The main objective of this research is to identify the factors aggravating the risk of flooding in the Oued Ziad watershed, to analyze the frequency of maximum daily rainfall to determine peak flows for different return periods of 10, 20, 50, 100 and 1000 years, and to map the extent of the flood hazard in the Oued Ziad watershed for a centennial flow, using geographic information systems and HecRas software. The simulation results show the overflow of Oued Ziad on national road N°27, affecting a part of the agglomeration located downstream by a centennial peak flow equal to 50. 98 m3/s and a water height exceeding 3 m, which confirms the extent of the area exposed to risk during the flood that occurred on 19/9/2018. The field survey shows that several anthropic factors in-crease the risk of flooding while the capacity of the existing hydraulic structures is insufficient to evacuate water during floods, which requires the development of this watercourse and its banks to protect the population and its property from the risk of flooding and to reduce the impact on the city’s environment and socio-economic activities.

Keywords: , , , , ,
Full article 10.5775/fg.2023.094.iDates:
Received: 03-05-2023 Accepted: 12-06-2023 Printed: 30-06-2023 Online: 27-09-2023
Affiliations:
  • 1 Department of Urban Techniques and Environment, Institute of Urban Techniques Management, University of Constantine3, Constantine, Algeria. Geo-prospective, Environment, and Development Laboratory
  • 2 Territory Planning Research Center, Constantine, Algeria
  • 3 Department of Geomorphology, Pedology, Geomatics, Faculty of Geography, University of Bucharest, Bucharest, Romania
  • 4 Department of Hydraulic Engineering, Faculty of Science and Technology, University of Tlemcen, Tlemcen, Algeria
  • 5 1 Laboratory 60: Water Resources Valorization
Corresponding author:
  • manel.yakhlefoune@univ-constantine3.dz
Author contributions: Conceptualization, M.Y, and A.B; T.E. K, methodology, M.Y, A. B; formal analysis, M.Y; investigation, C.B, M.Y, F, G; writing – original draft preparation, M. Y, writing – review and editing, F. G, C. B, and M. Y. All authors have read and agreed to the published version of the manuscript.Declaration of interests: The authors declare no conflict of interest.
Citation:
APA 6 | Harvard 2008 | Turabian 6 | MLA 7
RIS | BibTeX
Funding: This research received no external funding.
Copyright: © 2023 The Author(s). Published by Forum geografic.
Provided under the Creative Commons Attribution-NonCommercial-NoDerivatives License.
Open Access article.
Volume XXII |
Environment, GIS and Remote Sensing

Determination for automated land-use / land cover change detection of Keti Bunder, Indus Delta, Pakistan, by using satellite remote sensing techniques

1,, 1, 1

Abstract: The Land use/Land cover (LULC) has a substantial role in planning and monitoring natural resource utilization, in the framework of the ongoing surge in human demands in the current ecosystem. Satellite remote sensing provides modern methods for locating and mapping Land use/Land cover patterns and their spatial changes. This paper discusses the evaluation of the LULC classes characteristic of Keti Bunder during the years 2015 and 2020, by using satellite remote sensing; the paper also uses Geo-informatics to study and investigate the temporal LULC variations that occurred over time. According to the empirical findings, there have been significant spatial changes, with less dry mudflats and unoccupied land overall. In comparison, the findings of the research point to inter-conversion of the area between LULC classes, i.e. mangrove areas, turbid water, wet mudflat, dry mudflat and barren land/vacant land. Overall, these geographical alterations show that the environment has been significantly impacted due to recent extreme weather events in the region.

Keywords: , , , ,
Full article 10.5775/fg.2023.073.iDates:
Received: 03-01-2023 Accepted: 03-04-2023 Printed: 30-06-2023 Online: 27-09-2023
Affiliations:
  • 1 Department of Geography, University of Karachi, 75270, Pakistan
Corresponding author:
  • ziarockies86@gmail.com
Author contributions: Dr. Zia ur Rehman conceived the original idea. While Dr. Zia ur Rehman, Dr. Asif Gul and Prof. Dr. Jamil Hasan Kazmi contributed to the design and implementation of the research, to the analysis of the results and the writing of the manuscript. Prof. Dr. Jamil Hasan Kazmi supervised the project.Declaration of interests: We declare that this submission has not been published elsewhere, nor is under consideration for publication and there is no conflict of interest among the authors before submitting it in this reputed journal.
Citation:
APA 6 | Harvard 2008 | Turabian 6 | MLA 7
RIS | BibTeX
Funding: This research received no external funding.Acknowledgements: We would like to express our sincere gratitude to Dr. Imran Ahmed Khan (Assistant Professor Department of Geography, University of Karachi) for his valuable feedback and support throughout the research process.
Copyright: © 2023 The Author(s). Published by Forum geografic.
Provided under the Creative Commons Attribution-NonCommercial-NoDerivatives License.
Open Access article.
Volume XXII |
GIS and Remote Sensing

Change detection analysis using Landsat images on Balurghat Municipality, West Bengal, India

1,

Abstract: The major focus of the current study is a spatio-temporal analysis of land use and land cover changes in Balurghat Municipality, West Bengal, using remote sensing and geographic information systems (G.I.S.) from 1990 to 2020. The primary goals are to identify changes in land use and land cover and to look at the key influences and how they affect the dynamics of the landscape. The Landsat images of the study area are classified into five categories with the help of GIS software and Google verified and validated by the process of accuracy assessment. An image has been classified digitally with the help of the Supervised Image Classification method under Maximum Likelihood Classification techniques which also helps to identify the transformation of land from vegetation cover to built up area.

Keywords: , , , ,
Full article 10.5775/fg.2023.022.iDates:
Received: 23-03-2023 Accepted: 30-05-2023 Printed: 30-06-2023 Online: 26-09-2023
Affiliations:
  • 1 Faculty, Department of Geography, Islampur College,Islampur, North Dinajpur,West Bengal, India
Corresponding author:
  • manashlaha1986@gmail.com
Author contributions: Conceptualization, methodology, writing – original draft, ML. The author has read and agreed to the published.Declaration of interests: The author declare no conflict of interest.
Citation:
APA 6 | Harvard 2008 | Turabian 6 | MLA 7
RIS | BibTeX
Funding: This research received no external funding.
Copyright: © 2023 The Author(s). Published by Forum geografic.
Provided under the Creative Commons Attribution-NonCommercial-NoDerivatives License.
Open Access article.
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