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<Article>
<Journal>
				<PublisherName>Shahrood University of Technology</PublisherName>
				<JournalTitle>Journal of Mining and Environment</JournalTitle>
				<Issn>2251-8592</Issn>
				<Volume>16</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>01</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>RAPID MASS MOVEMENT SIMULATIONS BASED ANALYSIS OF LANDSLIDES ALONG NATIONAL HIGHWAY 205 IN HIMACHAL PRADESH, INDIA</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>161</FirstPage>
			<LastPage>182</LastPage>
			<ELocationID EIdType="pii">3239</ELocationID>
			
<ELocationID EIdType="doi">10.22044/jme.2024.14667.2771</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Sahil</FirstName>
					<LastName>Kumar</LastName>
<Affiliation>Research Scholar, Civil Department, Chandigarh University, Mohali, Punjab, India</Affiliation>

</Author>
<Author>
					<FirstName>Abhishek</FirstName>
					<LastName>Sharma</LastName>
<Affiliation>Research Scholar, Civil Department, Chandigarh University, Mohali, Punjab, India</Affiliation>

</Author>
<Author>
					<FirstName>Kanwarpreet</FirstName>
					<LastName>Singh</LastName>
<Affiliation>Research Scholar, Civil Department, Chandigarh University, Mohali, Punjab, India</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2024</Year>
					<Month>06</Month>
					<Day>14</Day>
				</PubDate>
			</History>
		<Abstract>This study investigates the application of the Rapid Mass Movement Simulation (RAMMS) tool in assessing and mitigating various types of landslides. The research encompasses comprehensive field visits to diverse landslide-prone areas, capturing detailed photographic evidence to document pre- and post-landslide conditions. Utilizing the field data, RAMMS simulations were conducted to model the dynamics of different landslide scenarios, including rockfalls, debris flows, and avalanches. The simulations provided insights into the potential impact zones, flow velocities, and deposition patterns of landslides under varying environmental conditions. The results highlight the efficacy of RAMMS in predicting landslide behavior and guiding mitigation strategies. By comparing the simulation outputs with field observations, we validated the accuracy of RAMMS models, demonstrating their utility in real-world applications. Furthermore, the study identifies key factors influencing landslide susceptibility and proposes targeted mitigation measures to enhance community flexibility. This research underscores the importance of integrating advanced simulation tools like RAMMS with empirical field data to develop strong landslide risk management frameworks.</Abstract>
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			<Object Type="keyword">
			<Param Name="value">Debris flow</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Simulations</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">RAMMS</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Modelling</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Landslide</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jme.shahroodut.ac.ir/article_3239_54ac0f59f1c4849aa09be197169ff1ee.pdf</ArchiveCopySource>
</Article>
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