<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <title>DSpace Collection:</title>
  <link rel="alternate" href="https://dspace.iiti.ac.in:8080/jspui/handle/123456789/3640" />
  <subtitle />
  <id>https://dspace.iiti.ac.in:8080/jspui/handle/123456789/3640</id>
  <updated>2026-08-02T22:33:33Z</updated>
  <dc:date>2026-08-02T22:33:33Z</dc:date>
  <entry>
    <title>Deciphering changing rainfall patterns across the hydroclimatic spectrum in Central India</title>
    <link rel="alternate" href="https://dspace.iiti.ac.in:8080/jspui/handle/123456789/18834" />
    <author>
      <name>Gore, Vikas S.</name>
    </author>
    <author>
      <name>Sharma, Alka</name>
    </author>
    <author>
      <name>Sharma, Priyank J.</name>
    </author>
    <id>https://dspace.iiti.ac.in:8080/jspui/handle/123456789/18834</id>
    <updated>2026-07-27T06:30:10Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: Deciphering changing rainfall patterns across the hydroclimatic spectrum in Central India
Authors: Gore, Vikas S.; Sharma, Alka; Sharma, Priyank J.
Abstract: Understanding the spatiotemporal variability of climate parameters is essential for sustainable environmental planning, particularly in climate-sensitive regions like Central India. This study examines changes in rainfall patterns over Madhya Pradesh, Central India, using daily rainfall data for two periods: 1951–2000 (past) and 2001–2023 (recent). The study reports a multi-scale assessment of extreme rainfall indices (ERIs) across diverse hydroclimatic and physiographic units, including river basins, agroclimatic zones, Köppen–Geiger climate zones, elevation zones, and land-use and land-cover (LULC) classes. Percentage changes and trend reversals in ERIs were evaluated using the Modified Mann–Kendall test, while Sen’s slope estimator was used to quantify the magnitude and direction of trends in ERIs across several hydroclimatic units. Spatial uniformity in monsoonal rainfall was assessed using Relative Entropy, along with transitions between dry and wet states across the two periods. Results indicate significant spatial heterogeneity in rainfall patterns, with notable trend reversals (i.e., shifts from decreasing to increasing and from increasing to decreasing trends) in most ERIs post-2000. Notable variations in rainfall extremes, variability, and trend patterns are observed across river basins, agroclimatic zones, LULC classes, and elevation zones, enabling us to assess the multi-sectoral impacts of climate change. A discernible westward shift in rainfall patterns during the recent period further indicates a redistribution of rainfall hotspots. These findings highlight evolving rainfall dynamics and their potential implications for water resources, agriculture, soil conservation, and climate resilience. The study provides important insights for region-specific climate adaptation strategies and evidence-based policy planning in Central India. © The Author(s) under exclusive licence to Institute of Geophysics, Polish Academy of Sciences 2026.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Assessing Landslide Susceptibility in Chamoli, Uttarakhand (India) Through Artificial Neural Networks</title>
    <link rel="alternate" href="https://dspace.iiti.ac.in:8080/jspui/handle/123456789/18835" />
    <author>
      <name>Gupta, Kunal</name>
    </author>
    <author>
      <name>Satyam, Neelima</name>
    </author>
    <id>https://dspace.iiti.ac.in:8080/jspui/handle/123456789/18835</id>
    <updated>2026-07-27T06:30:10Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: Assessing Landslide Susceptibility in Chamoli, Uttarakhand (India) Through Artificial Neural Networks
Authors: Gupta, Kunal; Satyam, Neelima
Abstract: Chamoli, nestled within the Central Himalayas, presents a complex tapestry of geological, geomorphological, climatic, and hydrological dynamics that shape its vulnerability to natural hazards, particularly landslides. This study delves into the heart of this intricate landscape, combining meticulous methodology with robust results to unravel the nuances of landslide susceptibility. The study is initiated with a comprehensive landslide inventory map, meticulously curated through rigorous field inspections and satellite imagery analysis. This dataset, comprising 726 landslide incidents, forms the cornerstone of subsequent analysis and modeling efforts. An equivalent number of non-landslide points were randomly generated to ensure model integrity, creating a balanced dataset for training and validation. The conditioning factors, 13 in total, including geomorphological, hydrological, geological, and anthropogenic variables, were thoughtfully selected and prepared. Their classification, guided by environmental impact and existing literature, laid the groundwork for the modeling phase. Employing Artificial Neural Networks (ANNs), the model demonstrated exceptional performance. Validation metrics firmly established their reliability and discriminatory power, including sensitivity, specificity, accuracy, and an area under curve (AUC) value of 0.79. The landslide susceptibility map that emerged from this study painted a vivid picture of vulnerability across Chamoli. The northern Himalayan ranges, especially around Joshimath, emerged as high susceptibility zones, influenced by factors like heavy rainfall, fractured lithologies, and human interventions like road development. These findings underscore the urgency of strategic land-use planning and risk mitigation efforts, particularly in high and very high susceptibility areas. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Examining risky riding behaviours among food delivery riders: A systematic literature review</title>
    <link rel="alternate" href="https://dspace.iiti.ac.in:8080/jspui/handle/123456789/18813" />
    <author>
      <name>Choudhary, Pushpa</name>
    </author>
    <id>https://dspace.iiti.ac.in:8080/jspui/handle/123456789/18813</id>
    <updated>2026-07-20T17:05:49Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: Examining risky riding behaviours among food delivery riders: A systematic literature review
Authors: Choudhary, Pushpa
Abstract: Online food delivery services have become highly popular in recent years, leading to concerns about Food Delivery Riders' (FDRs) safety, health, and welfare. Human factors are found as the primary contributing factor in approximately 94% of riders' crashes. Therefore, the aim of the present study is to conduct a comprehensive systematic review of the literature on risky riding behaviour of FDRs, with a focus on understanding the prevalence of various risky riding behaviours and their influencing factors. Studies were searched in seven databases, and after systematic screening, 57 articles were included in the final review. Findings indicate that most of these studies are geographically concentrated in Asian countries and have utilized questionnaire surveys. The following risky behaviours are consistently observed among FDRs: Violations and Errors . In particular, speeding, wrong-way riding, red-light violation, mobile phone use, tailgating, etc., are found to be dominant behaviours. Subsequently, various factors affecting risky behaviours of FDRs are examined, including (a) sociodemographic factors, (b) work-related factors, (c) attitudinal, cognitive, and psychological factors, and (d) environmental, infrastructural, and other contextual factors. Sociodemographic factors and work-related factors, including age, gender, income, job demands, job resources, service experience, daily working hours, etc., are found to have a significant impact on risky behaviours of FDRs. Importantly, this study serves as a valuable resource for researchers, highlighting existing research gaps and offering recommendations for future research to reduce risky riding behaviours among FDRs. Additionally, the findings provide actionable insights to transportation professionals toward improving the safety of FDRs. © 2026 Elsevier Ltd.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Relative performances of skewed hyperbolic paraboloidal stiffened shells – A geometrically non-linear approach</title>
    <link rel="alternate" href="https://dspace.iiti.ac.in:8080/jspui/handle/123456789/18814" />
    <author>
      <name>Trivedi, Madhu</name>
    </author>
    <author>
      <name>singh, Natvar</name>
    </author>
    <author>
      <name>Solanki, Ravindra</name>
    </author>
    <author>
      <name>Bakshi, Kaustav</name>
    </author>
    <id>https://dspace.iiti.ac.in:8080/jspui/handle/123456789/18814</id>
    <updated>2026-07-20T17:05:49Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: Relative performances of skewed hyperbolic paraboloidal stiffened shells – A geometrically non-linear approach
Authors: Trivedi, Madhu; singh, Natvar; Solanki, Ravindra; Bakshi, Kaustav
Abstract: Laminated composites are lucrative construction materials for civil engineers. The material is lightweight, resistant to atmospheric decay and possesses high strength/stiffness to weight ratio. The doubly curved hyperbolic-paraboloidal shells are stiff and architecturally pleasing. Naturally, these shells made of laminated composites are popular choices among the practicing civil engineers to cover long column free spans. The skewed forms can satisfy the architectural requirements of industrial applications. But these are susceptible to instability which can be addressed by stiffeners. The research on hyperbolic paraboloids is ample in numbers but the same for panels with cut-outs are scanty. The literature shows that there are no research reports available on skewed stiffened hyperbolic-paraboloidal curved panels with cut-outs, especially using the geometrically non-linear approach. Therefore, an attempt has been made in this paper to study the bending and free vibration of simple supported skewed panels for different skew angles, laminations, cut-outs and stiffener orientations which can provide meaningful design guidelines to practicing civil engineers. © 2026 selection and editorial matter, N V R Naidu, K R V Subramanian, Nagaraju Kottam and G N Anil Kumar, individual chapters, the contributors.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
</feed>

