Stateless Refugees and the Right to Return: The Bihari Refugees of South Asia - Part 2
In: International journal of refugee law, Band 12, Heft 1, S. 41-70
ISSN: 0953-8186
6 Ergebnisse
Sortierung:
In: International journal of refugee law, Band 12, Heft 1, S. 41-70
ISSN: 0953-8186
In: International Journal of Refugee Law, Band 12, Heft 1, S. 41-70
SSRN
In: Environmental science and pollution research: ESPR, Band 29, Heft 57, S. 85904-85921
ISSN: 1614-7499
In: Natural hazards and earth system sciences: NHESS, Band 24, Heft 2, S. 465-480
ISSN: 1684-9981
Abstract. Debris flows triggered by rainfall are catastrophic geohazards that occur compounded during extreme events. Few early warning systems for shallow landslides and debris flows at the territorial scale use thresholds of rainfall intensity–duration (ID). ID thresholds are mostly defined using hourly rainfall. Due to instrumental and operational challenges, current early warning systems have difficulty forecasting sub-daily time series of weather for landslides in the Himalayas. Here, we present a framework that employs a spatio-temporal numerical model preceded by the Weather Research And Forecast (WRF) Model for analysing debris flows induced by rainfall. The WRF model runs at 1.8 km × 1.8 km resolution to produce hourly rainfall. The hourly rainfall is then used as an input boundary condition in the spatio-temporal numerical model for debris flows. The debris flow model is an updated version of Van Asch et al. (2014) in which sensitivity to volumetric water content, moisture-content-dependent hydraulic conductivity, and seepage routines are introduced within the governing equations. The spatio-temporal numerical model of debris flows is first calibrated for the mass movements in the Kedarnath catchment that occurred during the 2013 North India floods. Various precipitation intensities based on the glossary of the India Meteorological Department (IMD) are set, and parametric numerical simulations are run identifying ID thresholds of debris flows. Our findings suggest that the WRF model combined with the debris flow numerical model shall be used to establish ID thresholds in territorial landslide early warning systems (Te-LEWSs).
In: Natural hazards and earth system sciences: NHESS, Band 23, Heft 2, S. 667-674
ISSN: 1684-9981
Abstract. Floods remain a wicked problem and are becoming more destructive with
widespread ecological, social, and economic impacts. The problem is acute in
mountainous river catchments where plausible assumptions of risk behaviour
to flood exposure and vulnerability are crucial. Inclusive approaches are
required to design suitable flood early warning systems (EWSs) with a focus
on local social and governance context rather than technology, as is the case
with existing practice. We assess potential approaches for facilitating
inclusiveness in designing EWSs by integrating diverse contexts and
identifying preconditions and missing links. We advocate the use of a
SMART approach as a checklist for good practice to facilitate
bottom-up initiatives that benefit the community at risk by engaging them at every stage of the decision-making process.
This study was partially supported by core funds of ICIMOD contributed by the governments of Afghanistan, Australia, Austria, Bangladesh, Bhutan, China, India, Myanmar, Nepal, Norway, Pakistan, Sweden, and Switzerland. AO was supported by funding from the National Environmental Research Council (NERC) National Capability Overseas Development Assistance under the grant 'Polar expertise –Supporting development' (NE/R000107/1). ; River systems originating from the Upper Indus Basin (UIB) are dominated by runoff from snow and glacier melt and summer monsoonal rainfall. These water resources are highly stressed as huge populations of people living in this region depend on them, including for agriculture, domestic use, and energy production. Projections suggest that the UIB region will be affected by considerable (yet poorly quantified) changes to the seasonality and composition of runoff in the future, which are likely to have considerable impacts on these supplies. Given how directly and indirectly communities and ecosystems are dependent on these resources and the growing pressure on them due to ever-increasing demands, the impacts of climate change pose considerable adaptation challenges. The strong linkages between hydroclimate, cryosphere, water resources, and human activities within the UIB suggest that a multi- and inter-disciplinary research approach integrating the social and natural/environmental sciences is critical for successful adaptation to ongoing and future hydrological and climate change. Here we use a horizon scanning technique to identify the Top 100 questions related to the most pressing knowledge gaps and research priorities in social and natural sciences on climate change and water in the UIB. These questions are on the margins of current thinking and investigation and are clustered into 14 themes, covering three overarching topics of 'governance, policy, and sustainable solutions', 'socioeconomic processes and livelihoods', and 'integrated Earth System processes'. Raising awareness of these ...
BASE