Migrating rivers, consequent paleochannels: The unlikely partners and hotspots of flooding

Sajinkumar, K.S.; Arya, Archana; Rajaneesh, A.; Oommen, Thomas; Yunus, Ali P.; Rani, V. R.; Avtar, Ram; Thrivikramji, K. P.

doi:10.1016/j.scitotenv.2021.150842

Cited by 17 publications

(5 citation statements)

References 40 publications

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“…The southern Indian state of Kerala was severely impacted in 2018 by the most extreme monsoon rainfall since 1924 (Agarwal, 2018;Megha et al, 2019;Sajinkumar et al, 2022;Sankar, 2018;Vishnu et al, 2020Vishnu et al, , 2019. During this monsoon season, from June 1 to August 28, Kerala received a cumulative rainfall that was 42% in excess of the annual average (Sudheer et al, 2019), which triggered thousands of landslides and extreme floods.…”

Section: Introductionmentioning

confidence: 99%

“…Floods eroded valley sides, resulting in additional slope failures. During this extreme rainfall event, 4,728 landslides were triggered (Hao et al, 2020), which affected more than 1,200 villages with a population of 5.4 million people, leading to huge property losses and more than 440 fatalities (Duncombe, 2018;Mishra et al, 2018;Pooja et al, 2021;Sajinkumar et al, 2022;UNDP, 2018;Vishnu et al, 2019). Except for the predominantly flat and flooded district of Alappuzha, all the other 13 districts (Kasaragod, Kannur, Wayanad, Kozhikode, Malappuram, Palakkad, Thrissur, Ernakulam, Idukki, Kottayam, Pathanamthitta, Kollam, Thiruvananthapuram) were impacted by landslides, of which Idukki district was the most badly affected.…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the relation between land use changes and the 2018 landslide disaster in Kerala, India

Hao¹,

Westen²,

Rajaneesh³

et al. 2022

CATENA

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluating the relation between land use changes and the 2018 landslide disaster in Kerala, India

Hao¹,

Westen²,

Rajaneesh³

et al. 2022

CATENA

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“…Since 2018, the noteworthy feature of the monsoon has been that it triggers landslides during the sporadic high-intensity rainfall (cf. Vishnu et al 2019Vishnu et al , 2020Yunus et al 2021;Sajinkumar et al 2022). Though several studies have been conducted in this region, and measures suggested were not adopted, we present here specific omnipresent reasons that facilitate landslides in this region.…”

Section: Discussionmentioning

confidence: 85%

The tale of three landslides in the Western Ghats, India: lessons to be learnt

Ajin

Nandakumar

Rajaneesh

et al. 2022

Geoenviron Disasters

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In recent years, landslides have become a typical monsoon calamity in the Western Ghats region of Kerala, India. In addition to property damage, heavy rainfall (36% above normal) and multiple landslides (4728) killed 48 people in 2018. This tendency continued throughout the monsoon seasons of 2019, 2020, and 2021, resulting in the deaths of over 100 people. Anomalous precipitation is ascribed to the frequent development of low-pressure in the surrounding oceans. Using ground real data and satellite imagery, we evaluated the features of three large landslides in the state of Kerala, which occurred during the monsoon season of 2021. Our investigation found that the Kokkayar landslide was triggered by anthropogenic-related agricultural activities, the Plappally landslide by geomorphic and tectonic processes as well as human involvement, and the Kavali landslide by forest fragmentation with dense vegetation on thin soil. The triggering mechanism for all three of these landslides, however, is the intense rainfall of 266 mm in less than 24 h. Thus, an accurate and precise forecast of rainfall can be used to define a threshold for an early warning, which will be vital for saving lives.

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“…Previous studies have consistently shown that frequent flooding has substantial impacts on both socioeconomic factors and ecological balance. In the context of the Indian subcontinent, floods are one of the most widespread, catastrophic, and frequent natural hazards (Sajinkumar et al, 2022; Senan et al, 2023; Vishnu et al, 2019; Vishnu et al, 2020). As a significant portion of the Indian population lives in cities, they are highly affected by frequent floods and landslides.…”

Section: Introductionmentioning

confidence: 99%

Assessment of flood in Nandigama, Andhra Pradesh, using hydrological and hydraulic models

Reddy,

Bhavani

2023

World Water Policy

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The rapid and frequent mapping of flood areas is crucial for monitoring and mitigating flood disasters. This study aimed to devise a flood inundation map for Nandigama City, located in the state of Andhra Pradesh, India. To analyze flood inundation, the HEC‐HMS hydrologic model was used to assess the effects of land‐use changes on runoff. The analysis of land use and land cover (LULC) revealed a significant increase in urban expansion around the study area over the last 30 years. The rise in urbanization and impervious surfaces has led to an 11.85% increase in the average peak discharge, from 4.39 m3/s in 2000 to 4.91 m3/s in 2020. These findings can provide significant insights for urban policymakers in the planning and management of flood control infrastructure in Nandigama.

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Migrating rivers, consequent paleochannels: The unlikely partners and hotspots of flooding

Cited by 17 publications

References 40 publications

Evaluating the relation between land use changes and the 2018 landslide disaster in Kerala, India

Evaluating the relation between land use changes and the 2018 landslide disaster in Kerala, India

The tale of three landslides in the Western Ghats, India: lessons to be learnt

Assessment of flood in Nandigama, Andhra Pradesh, using hydrological and hydraulic models

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