In light of Guwahati’s pronounced vulnerability to landslides, the annual toll on human lives underscores the pressing necessity for robust risk mitigation strategies. This study addresses this urgency by focusing on the meticulous mapping of landslide susceptibility zones, utilizing the widely acknowledged Analytical Hierarchy Process (AHP) methodology implemented through ArcGIS. By synthesizing data from various reputable sources, encompassing a spectrum of causative factors, this research undertakes a thorough examination to delineate the areas in Guwahati prone to landslides. The findings of this study underscore the severity of the situation, revealing that a notable proportion of Guwahati’s municipal wards—specifically, 17 out of the 60—fall within zones deemed highly susceptible to landslides. This revelation underscores the gravity of the issue and accentuates the need for focused intervention and strategic mitigation measures. The study’s thorough mapping of these susceptible zones not only identifies the regions most at risk, but it also offers lawmakers, urban planners, and disaster management authorities invaluable insights. Armed with this knowledge, stakeholders can formulate targeted interventions and allocate resources effectively to mitigate the impact of landslides and safeguard the lives and livelihoods of the city’s inhabitants. Furthermore, this research contributes to the broader discourse on disaster resilience and urban planning, highlighting the importance of integrating geospatial analysis and advanced methodologies to tackle complex environmental challenges. Ultimately, the proactive identification and mitigation of landslide-prone areas in Guwahati represent crucial steps towards building a more resilient and sustainable urban environment in the face of escalating climate risks.

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Landslide Susceptibility Mapping of Guwahati City Using Analytical Hierarchy Process in ArcGIS

  • Abinash Mahanta,
  • Nilotpoul Deka,
  • Indra Mohan Hazarika

摘要

In light of Guwahati’s pronounced vulnerability to landslides, the annual toll on human lives underscores the pressing necessity for robust risk mitigation strategies. This study addresses this urgency by focusing on the meticulous mapping of landslide susceptibility zones, utilizing the widely acknowledged Analytical Hierarchy Process (AHP) methodology implemented through ArcGIS. By synthesizing data from various reputable sources, encompassing a spectrum of causative factors, this research undertakes a thorough examination to delineate the areas in Guwahati prone to landslides. The findings of this study underscore the severity of the situation, revealing that a notable proportion of Guwahati’s municipal wards—specifically, 17 out of the 60—fall within zones deemed highly susceptible to landslides. This revelation underscores the gravity of the issue and accentuates the need for focused intervention and strategic mitigation measures. The study’s thorough mapping of these susceptible zones not only identifies the regions most at risk, but it also offers lawmakers, urban planners, and disaster management authorities invaluable insights. Armed with this knowledge, stakeholders can formulate targeted interventions and allocate resources effectively to mitigate the impact of landslides and safeguard the lives and livelihoods of the city’s inhabitants. Furthermore, this research contributes to the broader discourse on disaster resilience and urban planning, highlighting the importance of integrating geospatial analysis and advanced methodologies to tackle complex environmental challenges. Ultimately, the proactive identification and mitigation of landslide-prone areas in Guwahati represent crucial steps towards building a more resilient and sustainable urban environment in the face of escalating climate risks.