On mitigation of earthquake and landslide hazards in the eastern Himalayan region

Bansal, B. K.; Verma, Mithila; Gupta, Arun Kumar; Prasath, R. Arun

doi:10.1007/s11069-022-05448-y

Cited by 8 publications

(4 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Perhaps the most effective and practical approach is to take preventive measures and create awareness amongst the masses (Bansal and Verma, 2012;Bansal and Verma, 2013;Verma and Bansal, 2013). A recent study by Bansal et al (2022), details specific activities for mitigating the earthquake and landslide hazards in the eastern Himalayan region. A similar exercise could be useful for Mizoram state and its surroundings also.…”

Section: Discussionmentioning

confidence: 99%

The 2020 earthquake sequence and seismic hazard scenario of Mizoram state in northeast India

2022

Self Cite

View full text Add to dashboard Cite

The Mizoram state of India lies in close proximity to the active Indo-Burma subduction zone and had experienced several moderate to large earthquakes, including the M7 event in 1938. Since 2015, only two events with 5<M<6 have occurred in the area, however, a sudden enhancement of earthquake activity (M3.0–M5.7) was observed from June to August 2020 in the eastern part of the Mizoram state, including the four events of M ≥ 5.0. We analysed the waveform data of 21 events recorded by the local and regional BBS to estimate the source parameters. The focal depth of these events varies from 13 to 45 km, while other parameters such as corner frequency, source radius, stress drop, and scalar seismic moment of the events are found in the range of 0.45–3.36 Hz, 0.77–5.58 km, 1.3–193 bars, and 3.98107E+13 to 6.30957E+17 Nm, respectively. The seismicity pattern shows two distinct clusters along the well-demarcated faults in the region, and most of them are generated by strike-slip movements. The Churachandpur-Mao Fault (CMF) is found to be the most active tectonic element in the study area. Hence, an M8 event has been simulated on the same fault using the stochastic simulation technique. The technique was validated by simulating the three M+5 events on the same source zone and comparing the simulated PGA, frequency, and response spectrum with the observed data. The simulation reveals that a PGA ∼480 gals is expected near the fault zone. The easternmost districts of Mizoram, such as Champai, Serchhip, Lunglei, Saiha, and Aizawl, may experience severe PGA (250–450 gals). The response spectral acceleration corresponding to single-storey, double-storey, 3–4 storey, and 5–6 storey buildings has also been estimated in the present study and it is found to vary in the range of 1,400–200 gals. The result of the present study will be useful in various engineering applications and help reduce the loss of lives and damage to infrastructure due to future large events in the region.

show abstract

Section: Discussionmentioning

confidence: 99%

The 2020 earthquake sequence and seismic hazard scenario of Mizoram state in northeast India

2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…Slope is considered to be one of the most important landslide conditioning factors because landslide is considered to be an event which is a manifestation of slope instability (Doke, 2017;Khaliq et al, 2023). Landslides tend to occur more in areas of steep slope than gentle slope (Pal et al, 2016;Bansal et al, 2022). Natural events like earthquakes and heavy rainfall often make weathered debris on the hill slope loose and they come down the slope under gravitational in uence causing landslides (Khullar, 2014).…”

Section: Slopementioning

confidence: 99%

Comparative assessment of landslide susceptibility of West Sikkim using three machine learning techniques

Goswami¹,

Sen²,

Majumder³

2023

Preprint

View full text Add to dashboard Cite

Natural disasters are responsible for disturbing the foundation of a stable system which affects man to a large extent. Man usually has no control on natural disasters. However, if precautionary measures are taken in advance, then the colossal loss of human lives and property caused by a disaster can be averted. In the world of rapidly developing technology, several machine learning algorithms along with GIS and Remote Sensing has been used by researchers to prepare disaster susceptibility map which in turn aided in adoption of appropriate mitigation measures. The present research work aimed for the preparation of landslide susceptibility map of West Sikkim district of Sikkim state in India by using three machine learning techniques namely Frequency Ratio (FR), Analytical Hierarchy Process (AHP) and Critic method. The study revealed that all these three techniques are ideal for landslide susceptibility mapping with AUC values of 0.824 for FR, 0.739 for AHP and 0.757 for Critic and hence concluded that FR is the best machine learning algorithm that can be used for preparing landslide susceptibility maps.

show abstract

“…Verma, Bansal, Stakić, Singh (2022) [13] , "the impact of the Russia-Ukraine conflict on stock market performance: event study analysis." Examining the short-term volatility and the Indian stock market's reaction to the start of the military conflict between Russia and Ukraine was the purpose of this study.…”

Section: Gourio (2009)mentioning

confidence: 99%

Impact of Russia Ukraine war on stock market in India (A study on NSE nifty 50)

Kaushik¹,

Kumar²

2023

Int. J. Finance Manage. Econ.

View full text Add to dashboard Cite

The war between Ukraine and Russia has had a significant negative impact on the world economy because it has caused financial repercussions not just in Russia and Ukraine but also in other countries. Due to their status as important international players, both nations contribute significantly to world trade mainly in the export of commodities like wheat, crude oil, industrial raw materials, and so forth. After Russia attacked Ukraine on February 24, 2022, stock markets all across the world fell precipitously, including those in India. The objective of this paper is to find out the impact of Ukraine Russia on nifty 50 index of Indian stock market. Daily closing price of nifty 50 indices of 120 days before and after the war has been considered for the study. The data has been collected from NSE of India website. This study found out that there is significant relationship between stock market index and conflict between Ukraine and Russia.

show abstract

On mitigation of earthquake and landslide hazards in the eastern Himalayan region

Cited by 8 publications

References 59 publications

The 2020 earthquake sequence and seismic hazard scenario of Mizoram state in northeast India

The 2020 earthquake sequence and seismic hazard scenario of Mizoram state in northeast India

Comparative assessment of landslide susceptibility of West Sikkim using three machine learning techniques

Impact of Russia Ukraine war on stock market in India (A study on NSE nifty 50)

Contact Info

Product

Resources

About