31-Aug-2020: Landslide susceptibility mapping of Mussoorie and its surrounding areas in Uttarakhand Himalaya

Like most hill townships, Mussoorie, the popular hill station in Uttarakhand, has witnessed several landslides, probably resulting from an increased spate of developmental activities. The increased disaster hazard has led scientists to map the landslide susceptibility of Mussoorie and surrounding areas, showing that 15 percent of the region is highly susceptible to landslides.

Scientists from Wadia Institute of Himalayan Geology (WIHG), an autonomous institute under the Department of Science and Technology, Govt. of India, carried out the study in Mussoorie township and its surroundings covering 84 square km in the Lesser Himalaya. They found that dominant part of the area falling under very high and high landslide susceptible zone lies in the settlement area --. Bhataghat, George Everest, Kempty fall, Khattapani, Library road, Galogidhar, and Hathipaon and are covered by highly fractured Krol limestone exhibiting slope more than 60 degrees.

The Landslide Susceptibility Mapping (LSM) published in the Journal of Earth System Science also showed that about 29% of the area falls in the moderate landslide susceptible zone and 56% in low to very low landslide susceptible zone.

The researchers from WIHG carried out the study using bivariate statistical Yule Coefficient (YC) method utilizing Geographic Information System (GIS) and high-resolution satellite imageries.

According to their study, various possible causative factors of landslides in the study area include lithology, land use-landcover (LULC), slope, aspect, curvature, elevation, road-cut drainage, and lineament. The WIHG team obtained Landslide Occurrence Favourability Score (LOFS) for a particular class of the causal factor of landslide and subsequently calculated the weight of each factor of landslide to finally generate Landslide Susceptible Index (LSI) in GIS platform. This has been reclassified into five zones using natural break criteria.

The accuracy of this map was verified by using the Success Rate Curve (SRC) and Predication Rate Curve (PRC) exhibiting the Area Under Curve (AUC) for SRC as 0.75 and for PRC as 0.70 indicating a good correlation between different landslide susceptible zones and the occurrence of landslides.

The study could help initiate a large scale landslide hazard, risk, and vulnerability assessment (HRVA) of the hilly townships in different parts of India.

7-Aug-2020: PM expresses grief over loss of lives due to a landslide in Rajamalai, Idukki; announces ex-gratia for the victims

The Prime Minister Shri Narendra Modi expressed grief over loss of lives due to a landslide in Rajamalai, Idukki. In a tweet, Prime Minister said, “Pained by the loss of lives due to a landslide in Rajamalai, Idukki. In this hour of grief, my thoughts are with the bereaved families. May the injured recover quickly. NDRF and the administration are working on the ground, providing assistance to the affected”.

Prime Minister also announced an ex-gratia of Rs. 2 lakh each from PMNRF for the next of kin of those who have lost their lives and Rs. 50,000 each for those injured due to the landslide.

28-Jul-2020: 3 billion animals harmed by Australia’s fires

Australia’s bushfire crisis was one of the worst wildlife disasters in modern history. The fires killed or displaced nearly 3 billion animals.

Uprooting families and claiming lives, bushfires raged across Australia from June 2019 to February 2020. New WWF research reveals that the toll on wildlife was around three times higher than an earlier study estimated.

In total, 143 million mammals, 2.46 billion reptiles, 180 million birds, and 51 million frogs were harmed. “It’s a difficult number to comprehend,” said Professor Chris Dickman of the University of Sydney.

A team of 10 scientists studied more than 28 million acres. “We believe a continent-wide assessment of the number of animals that might be impacted has never been done in Australia before or anywhere else in the world. Other nations can build upon this research to improve understanding of fire impacts everywhere,” said Dr. Lily Van Eeden of the University of Sydney, who led the study.

Australia’s record-breaking fire season was intensified by the worsening climate crisis. With rising temperatures and prolonged drought fueling the bushfires, WWF-Australia CEO Dermot O’Gorman said the research “gives other countries a window into the future of mega-fires and their devastating impact on wildlife.” Without climate action at the scale recommended by the IPCC, the strength and frequency of extreme fires will continue to grow.

Professor Dickman said the findings show how drastically fires can shrink biodiversity. To preserve species, he emphasized the need to channel sadness into action: “How quickly can we decarbonize? How quickly can we stop our manic land clearing?”

The interim report recommends improving habitat connectivity to help species escape fires, identifying and protecting unburnt habitat crucial to threatened species, improving fire prevention and management, and establishing rapid response teams to help species impacted by fire. A final report on the study is expected later this summer.

Over the last year, thanks to WWF supporters around the world, WWF was able to deploy emergency funds to the frontlines of the fires to help injured and displaced wildlife. We continue our commitment to the protection of these critical habitats and the prevention of future forest fires.

5-Jul-2020: IMD issues Preliminary Report on Severe Cyclonic Storm “NISARGA” over the east-central and adjoining southeast Arabian Sea

The India Meteorology Department has issued the preliminary report on Severe Cyclonic Storm "Nisarga" over Arabian Sea during 1st-4th June, 2020. According to the report, the salient features of the system are described below:

Brief Life History:

      • The severe cyclonic storm, Nisarga originated from a Low Pressure Area which formed over southeast & adjoining east-central Arabian Sea and Lakshadweep area in the early morning of 31st May 2020.
      • It intensified into deep depression over east central Arabian Sea in the early morning and into cyclonic storm “NISARGA” in the noon of 2nd June.
      • Continuing to move northeastwards, it crossed Maharashtra coast close to south of Alibag as a Severe Cyclonic Storm (SCS) with a maximum sustained wind speed of 110-120 kmph gusting to 130 kmph during 0700-0900 UTC (1230-1430 hrs. IST) of 03rd June.
      • Continuing to move northeastwards after landfall, it weakened into a cyclonic storm in the evening over north Madhya Maharashtra and into a deep depression in the mid-night of 2nd June 2020 over the same region.
      • It lay as a low pressure area over southeast Uttar Pradesh and adjoining Bihar in the afternoon 5th June.
      • The last cyclone, which crossed Maharashtra coast was cyclonic storm, Phyan which crossed coast on 11th Nov., 2009. Prior to the SCS, Nisarga, an SCS crossed Maharashtra coast on 24th May, 1961. It was also the fourth cyclone crossing Maharashtra coast during the 1961-2020.

Monitoring of NISARGA:

India Meteorological Department (IMD) maintained round the clock watch over the north Indian Ocean and the development of the system was monitored since 21st May, about 10 days prior to the formation of low pressure area over the southeast & adjoining east central Arabian Sea and Lakshadweep area on 31st May. The cyclone was monitored with the help of available satellite observations from INSAT 3D and 3DR, SCAT SAT, polar orbiting satellites and available ships & buoy observations in the region. The system was also monitored by Doppler Weather RADARs (DWR) Goa and Mumbai. Various numerical weather prediction models run by Ministry of Earth Sciences (MoES) institutions, models run by other Global centres and dynamical-statistical models were utilized to predict the genesis, track, landfall and intensity of the cyclone. A digitized forecasting system of IMD was utilized for analysis and comparison of various models’ guidance, decision making process and warning products generation.

Forecast Performance:

      1. Genesis Forecast
        • First information about development of low pressure area over southeast Arabian Sea was given in the extended range outlook issued on 21st May about 10 days prior to the formation of low pressure area over the southeast & adjoining east central Arabian Sea and Lakshadweep area on 31st May.
        • First information about development of depression over southeast Arabian Sea was issued in the tropical weather outlook and national weather forecast bulletin issued at 1200 noon of 29th May about 3 days prior to the formation of depression over southeast & adjoining east central Arabian Sea on 1st June morning.
      2. Cyclone warnings
        • Pre-cyclone watch: Considering the expected short life of the system and it’s intensification into a cyclonic storm with predicted landfall over north Maharashtra and south Gujarat coasts on 3rd June the Pre cyclone watch was issued for north Maharashtra and south Gujarat coasts in the bulletin issued at 0830 UTC (1400 hrs. IST) of 31st May, when the system was a low pressure area over southeast and adjoining east central Arabian Sea, even before the development of depression (about 80 hours prior to landfall of SCS NISARGA). This is for the first time that Pre cyclone watch was issued by IMD in the low pressure area stage. Usually, the pre cyclone watch is issued from depression/deep depression stage as per the Standard Operating Procedure.
        • Cyclone Alert: Cyclone alert was issued for north Maharashtra and south Gujarat coasts in the bulletin issued at 1150 hrs IST of 1st June, when the system was a depression over east central Arabian Sea and neighbourhood (about 50 hours prior to landfall of SCS NISARGA).
        • Cyclone Warning: Cyclone warning was issued for north Maharashtra and south Gujarat coasts in the bulletin issued at 0900 UTC (1430 hrs. IST) of 2nd June, when the system was a cyclonic storm over east central Arabian Sea (about 24 hours prior to landfall of SCS NISARGA).
        • Post landfall outlook: Post landfall outlook indicating expected severe weather over interior districts of Maharashtra was given in the bulletin issued at 2150 hrs. IST of 2nd June, when the system was a cyclonic storm over east central Arabian Sea (about 16 hours prior to landfall of SCS NISARGA).
      3. Track, landfall and intensity forecast

From the first bulletin issued at 0330 UTC (0855 hrs. IST) of 31st May, indicating that the system would intensify into a cyclonic storm and reach north Maharashtra and Gujarat coasts by 3rd June, till the bulletins issued on 3rd June, when actually, the severe cyclonic storm Nisarga crossed north Maharashtra coast close to south of Alibagh with a maximum sustained wind speed of 110-120 kmph gusting to 130 kmph between 0700-0900 UTC (Afternoon) of 03rd June, the track, landfall point & time, intensity and associated adverse weather like heavy rainfall, gale wind and storm surge were well predicted by IMD.

India Meteorological Department (IMD) and RSMC New Delhi duly acknowledged the contribution from all the stake holders and disaster management agencies who contributed to the successful monitoring, prediction and early warning service of SCS NISARGA.