A study on the occurrence of flood events over Jammu and Kashmir during September 2014 using satellite remote sensing

Mishra, Anoop Kumar

doi:10.1007/s11069-015-1768-9

Cited by 60 publications

(29 citation statements)

References 2 publications

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“…For example, Arnbjerg-Nielsen (2012) reported that the design intensities in Denmark are projected to increase by 10-50 % for return periods ranging from 2 to 100 years. Therefore, it is important to investigate the performance of drainage systems in a changing environment and to assess the potential urban flooding under various scenarios to achieve better adaptations (Mishra, 2015;Karamouz et al, 2013;Yazdanfar and Sharma, 2015;Notaro et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Impacts of future climate change on urban flood volumes in Hohhot in northern China: benefits of climate change mitigation and adaptations

Zhou

Leng

Huang

2018

Hydrol. Earth Syst. Sci.

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Abstract. As China becomes increasingly urbanised, flooding has become a regular occurrence in its major cities. Assessing the effects of future climate change on urban flood volumes is crucial to informing better management of such disasters given the severity of the devastating impacts of flooding (e.g. the 2016 flooding events across China). Although recent studies have investigated the impacts of future climate change on urban flooding, the effects of both climate change mitigation and adaptation have rarely been accounted for together in a consistent framework. In this study, we assess the benefits of mitigating climate change by reducing greenhouse gas (GHG) emissions and locally adapting to climate change by modifying drainage systems to reduce urban flooding under various climate change scenarios through a case study conducted in northern China. The urban drainage model – Storm Water Management Model – was used to simulate urban flood volumes using current and two adapted drainage systems (i.e. pipe enlargement and low-impact development, LID), driven by bias-corrected meteorological forcing from five general circulation models in the Coupled Model Intercomparison Project Phase 5 archive. Results indicate that urban flood volume is projected to increase by 52 % over 2020–2040 compared to the volume in 1971–2000 under the business-as-usual scenario (i.e. Representative Concentration Pathway (RCP) 8.5). The magnitudes of urban flood volumes are found to increase nonlinearly with changes in precipitation intensity. On average, the projected flood volume under RCP 2.6 is 13 % less than that under RCP 8.5, demonstrating the benefits of global-scale climate change mitigation efforts in reducing local urban flood volumes. Comparison of reduced flood volumes between climate change mitigation and local adaptation (by improving drainage systems) scenarios suggests that local adaptation is more effective than climate change mitigation in reducing future flood volumes. This has broad implications for the research community relative to drainage system design and modelling in a changing environment. This study highlights the importance of accounting for local adaptation when coping with future urban floods.

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Section: Introductionmentioning

confidence: 99%

Impacts of future climate change on urban flood volumes in Hohhot in northern China: benefits of climate change mitigation and adaptations

Zhou

Leng

Huang

2018

Hydrol. Earth Syst. Sci.

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“…India has witnessed frequent droughts and floods in recent decades (De et al ., ; Mishra and Srinivasan, ; Mishra, ; ; Rafiq and Mishra, ). Goswami et al .…”

Section: Introductionmentioning

confidence: 99%

Evidence of links between regional climate change and precipitation extremes over India

Mishra

Nagaraju

Rafiq

et al. 2018

Weather

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A significant change in the precipitation pattern over India has been reported in previous studies. This change includes an increase in heavy precipitation and a decrease in light and/or moderate precipitation. This study examines the possible link between these changes and regional climate conditions, using regional surface temperature and Vertically Integrated Moisture Transport (VIMT) records. It is reported that precipitation extremes during the southwest (SW) monsoon season show coherent variability with surface temperature over India. The precipitation spectrum shows significant changes from cold to warm years, with increases in heavy precipitation and decreases in light and/or moderate precipitation. The study reveals a decreasing trend in VIMT over the Bay of Bengal, which is consistent with decreases in the number of monsoon depressions over the region. It is observed that an increase in VIMT over the Arabian Sea shows coherent variation with precipitation extremes over India. The results reported in this article are crucial when considering the increase in drought and flood events in a changing climate.

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“…Continuous heavy snowfall over a higher topographical region may often result in avalanches, causing serious economic losses. Avalanches in Kashmir are a common natural disaster due to the complex topography of the area (Mishra, ). In 1895, Kashmir witnessed a devastating avalanche, resulting in huge life and property losses.…”

Section: Introductionmentioning

confidence: 99%

A study of heavy snowfall in Kashmir, India in January 2017

Rafiq

Mishra

2017

Weather

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Kashmir valley witnessed multiple heavy snowfall spells in January 2017 that triggered an avalanche, killing 24 people, including 20 Indian Army Personnel, whose camp was struck by the avalanche. This study aims to present an analysis of the heavy snowfall events that occurred the majority of districts in Kashmir during January 2017 using station data from the India Meteorological Department (IMD). Results show that there were three episodes of intense snowfall over different parts of Kashmir. Maximum daily accumulated snowfall measurements of about 11.5 and 9.2cm were recorded at Pahalgam and Banihall stations, respectively, on 26 January 2017. Gulmarg also recorded a maximum daily accumulated snowfall of 8.8cm on 25 January 2017. The snowfall anomaly data show that Gulmarg, Srinagar, Kupwara, Banihall, Quazigund and Pahalgam witnessed the highest snowfall of recent decades. Gulmarg and Pahalgam recorded cumulative snowfall measurements of about 38.4 and 30cm, respectively, during January. Data from the region reveal that the accumulated snow from three episodes of intense snowfall during 6–8, 15–17 and 25–27 January 2017 resulted in an avalanche over Kashmir.

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A study on the occurrence of flood events over Jammu and Kashmir during September 2014 using satellite remote sensing

Cited by 60 publications

References 2 publications

Impacts of future climate change on urban flood volumes in Hohhot in northern China: benefits of climate change mitigation and adaptations

Impacts of future climate change on urban flood volumes in Hohhot in northern China: benefits of climate change mitigation and adaptations

Evidence of links between regional climate change and precipitation extremes over India

A study of heavy snowfall in Kashmir, India in January 2017

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