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    <title>DSpace Collection:</title>
    <link>http://localhost:8081/jspui/handle/123456789/15068</link>
    <description />
    <pubDate>Tue, 01 Jul 2025 09:02:53 GMT</pubDate>
    <dc:date>2025-07-01T09:02:53Z</dc:date>
    <item>
      <title>IMPACT OF RAINFALL AND LULC ON FLOOD HAZARD MODELLING WITH A FOCUS ON ROORKEE AREA</title>
      <link>http://localhost:8081/jspui/handle/123456789/15325</link>
      <description>Title: IMPACT OF RAINFALL AND LULC ON FLOOD HAZARD MODELLING WITH A FOCUS ON ROORKEE AREA
Authors: Singh, Chaitanya
Abstract: A proper risk assessment and management framework is based on the accuracy of data and the estimates prepared in accordance with it. Understanding the risk and stakes involved in different situations helps in reducing the damages by floods. It also helps in preparing for damages which can’t be avoided. But at the same time, inaccuracies in risk assessment may lead to overestimation or underestimation of hazards. The estimations of how much losses to human life and property may occur due to a certain hazard are called risk associated with that hazard. When flooding of any area including water bodies occurs near a city or village due to excessive rainfall, it causes damage to human life and property and also disrupts the day to day life of people living in affected area. Thus, rainfall is a major component in assessment of flood risk and in turn, the accuracy of the rainfall data largely affects the results of the hazard modelling and risk assessment. The study focuses on the study of rainfall data for Roorkee area, and compares the results of runoff generation from observed sub- daily rainfall data with the results from rainfall of smaller durations estimated with the same methods used in Uttarakhand Disaster Risk Project. The basic inputs required for risk assessment models include rainfall patterns and physiographic characteristics of the area. Local rainfall data has been utilized to understand the rainfall distribution, storm intensities and relationship of total storm depths with intensities observed. Based on the results of the 40-year data of recording type rain gauge with 15 minute interval data intensity, duration and frequency relationship has been established. A basic runoff generation modelling has also been carried out with SCS-CN method. Using this method, the effect of LULC on various parts of Roorkee area has been studied. Based on this analysis, the areas likely to be most affected during floods have been identified</description>
      <pubDate>Sat, 01 Jun 2019 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://localhost:8081/jspui/handle/123456789/15325</guid>
      <dc:date>2019-06-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>URBAN FLOOD RISK MAPPING FOR BINDAL RAO CATCHMENT OF DEHRADUN</title>
      <link>http://localhost:8081/jspui/handle/123456789/15299</link>
      <description>Title: URBAN FLOOD RISK MAPPING FOR BINDAL RAO CATCHMENT OF DEHRADUN
Authors: Manna, Mohana
Abstract: Urban Flood has been a pressing global concern over the last decade. There have been numerous occurrences of flooding in various towns and cities across India such as that of 2017 and 2005 Mumbai Floods, 2016 Delhi Floods, 2015 Chennai Floods. The country has suffered from huge economic losses, infrastructural damages, human casualties, and even loss of lives during these floods. India, being a developing nation, would witness rapid urbanisation in the coming years further aggravating the issues of urban floods. Thus, it becomes very crucial to map the risks of urban floods for the purpose of efficient mitigation and management.&#xD;
Dehradun being affected by urban floods in almost every two years, the Bindal Rao catchment of the city has been considered for mapping of risks. The entire area of the Bindal Rao catchment has been categorised into five risk zones according to levels of risks, i.e., negligible, low, moderate, high and very high. To carry out the risk zonation, the flooding and vulnerabilities of the study area have been mapped performed considering the topographical characteristics, urbanisation trends, precipitation trends and Land Use Land Cover characteristics. For the purpose of flood simulation, the United States Environmental Protection Agency - Storm Water Management Model has been used while the mapping activities have been performed using Arc GIS 10. The other software and tools that have been used in the study are ERDAS IMAGINE and Geospatial Storm Water Management Model.&#xD;
The study area is found to be mostly in low to high vulnerability zones with very small areas under high vulnerability zone in terms of landuse and social factors. Nearly half of the study area is found to be susceptible to urban floods. It is found to be extremely variable in terms of urban flood risks, while approximately one-sixth part of the catchment fall under high to high very high risk zones and about one-fourth of it under low and moderate risk zones. The finding of the study comes under the framework of Sendai Framework of Disaster Risk Reduction for 2015-2030 in understanding disaster risks and strengthening disaster risk governance.</description>
      <pubDate>Wed, 01 May 2019 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://localhost:8081/jspui/handle/123456789/15299</guid>
      <dc:date>2019-05-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>IMPACT ASSESSMENT OF CHANGE IN LULC ON URBAN HEAT ISLAND</title>
      <link>http://localhost:8081/jspui/handle/123456789/15298</link>
      <description>Title: IMPACT ASSESSMENT OF CHANGE IN LULC ON URBAN HEAT ISLAND
Authors: Basumatary, Brian
Abstract: Urbanization holds critical effects on nearby climate and atmosphere. In the midst of these impacts, one of the most common effects is the urban heat island effect in which the temperatures of the focal urban areas are sure degrees higher than those of close-by provincial ranges. Urban Heat Island is a basic subject for the worldwide environment. It is characterized as the marvels where the presence of surface and barometrical changes because of the urbanization, causes an adjustment of the thermic climatic circumstances which results in hotter zones when contrasted with the enveloping non-urbanized regions, especially during the night.&#xD;
To examine the causes and effect of UHI of any urban range, the underlying stride is to characterize the spatial example of UHI and its power over the distinctive time frame and the adjustment in the temperature of the urban region by the encompassing country territories. Besides, the investigation of land use/land cover change in the region helps in recognizing reasons for warmth collection for a specific region. This study attempts to know the relationship between changes in LULC on Urban Heat Island. Also, to quantify the percentage change in LULC and its impact on surface temperature. For change detection spatial-temporal analysis would be carried out</description>
      <pubDate>Wed, 01 May 2019 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://localhost:8081/jspui/handle/123456789/15298</guid>
      <dc:date>2019-05-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>LANDSLIDE HAZARD ZONATION OF TEHRI GARHWAL DISTRICT, UTTARAKHAND</title>
      <link>http://localhost:8081/jspui/handle/123456789/15297</link>
      <description>Title: LANDSLIDE HAZARD ZONATION OF TEHRI GARHWAL DISTRICT, UTTARAKHAND
Authors: Srivastava, Anurag
Abstract: As we know landslide is a natural phenomenon as well as extremely catastrophic natural&#xD;
hazard. It has a potential to damage any natural landscape, road, railway track, human life,&#xD;
and property. India has many landslide prone states wherein with each passing day, an&#xD;
increase in the population of the country has become a concern for landslide. A larger part of&#xD;
Uttarakhand is already affected by the landslide. This makes it compulsory for us to have a&#xD;
proactive approach for the prevention from landslide rather than waiting for a disaster to&#xD;
occur (NDMA, 2009).&#xD;
To quantify the susceptibility of landslide, the Central Building Research Institute (CBRI),&#xD;
Roorkee uses Landslide Susceptibility Score (LSS), while Bureau of Indian Standards (BIS&#xD;
14496 Part 2) for uses Landslide Hazard Evaluation Factor (LHEF). Once the problem of&#xD;
landslide is quantified, various decision regarding planning and mitigation can be made in a&#xD;
more logical and systematic manner.&#xD;
In respect to that, a Landslide Inventory of the Tehri Garhwal District of Uttarakhand was&#xD;
created, along with it various causative factors such as slope, curvature, aspect, geology,&#xD;
drainage etc. were studied. The various methods employed for hazard zonation were studied&#xD;
thoroughly and Overlay method was employed to give weightage to the various causative&#xD;
factors. Finally GIS (Geographic Information System) was used for the analysis and display&#xD;
of the result</description>
      <pubDate>Wed, 01 May 2019 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://localhost:8081/jspui/handle/123456789/15297</guid>
      <dc:date>2019-05-01T00:00:00Z</dc:date>
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