This paper presents a methodology for developing a landslide hazard zonation map by integration of global positioning system
(GPS), geographic information system (GIS), and remote sensing (RS) for Western Himalayan Kaghan Valley of Pakistan. The landslides
in the study area have been located and mapped by using GPS. Eleven causative factors such as landuse, elevation, geology,
rainfall intensity, slope inclination, soil, slope aspect, distances from main road, distances from secondary roads, and distances
from main river and those from trunk streams were analyzed for occurrence of landslides. These factors were used with a modified
form of pixel-based information value model to obtain landslide hazard zones. The matrix analysis was performed in remote
sensing to produce a landslide hazard zonation map. The causative factors with the highest effect of landslide occurrence
were landuse, rainfall intensity, distances from main road, distances from secondary roads, and distances from main river
and those from trunk streams. In conclusion, we found that landslide occurrence was only in moderate, high, or very high hazard
zones, and no landslides were in low or very low hazard zones showing 100% accuracy of our results. The landslide hazard zonation
map showed that the current main road of the valley was in the zones of high or very high hazard. Two new safe road routes
were suggested by using the GIS technology. 相似文献
Natural Resources Research - Peak particle velocity (PPV) is an important criterion for assessing the risk level of ground vibration induced by mine blasting. Based on this criterion, many efforts... 相似文献
Globally, adaptation policies and programmes are being formulated to address climate change issues. However, in the agricultural sector, and particularly in least developed countries (LDCs), concerns remain as to whether these policies and programmes are consistent with farmers’ preferences. This study empirically investigates Nepalese farmers’ willingness to support the implementation of adaptation programmes. To this end, we first developed suggested adaptation programmes in accordance with the adaptation measures identified by LDCs in their National Adaptation Programmes of Actions. We then employed a choice experiment framework to estimate farmers’ willingness to pay (WTP) for adaptation benefits. The findings indicate that the substantial benefits of the adaptation programmes for farmers result in a sizeable WTP to participate, which would appear to justify the programmes’ widespread implementation.
Key policy insights
Farmers are willing to participate in, and contribute to, the suggested adaptation programmes in the form of increased access to climate adaptive crop species and varieties, improved soil quality and irrigation and the provision of training in climate adaptive farming.
Key socio-economic factors influence farmers’ support of adaptation programmes. Older farmers, those households closer to government extension services, larger land holders, those involved in household labour exchange, farmers located in drought and flood-prone regions and those who perceive that the climate has changed are more likely to participate.
The more farmers are aware of climate change impacts, the greater their preference for adaptation programmes. Increasing farmer awareness prior to implementation of such programmes is therefore an obvious means of further raising participation rates.
Theoretical and Applied Climatology - In this paper, a statistical forecast model using the time-scale decomposition method is established to do the seasonal prediction of the rainfall during flood... 相似文献
This study illustrates the characteristics of the data assimilation system at the Korea Institute of Atmospheric Prediction Systems (KIAPS), based on the cubed-sphere grid system. The most interesting feature is the use of spherical harmonic functions defined on cubed-sphere grid points, which makes it possible to control the allowable physical wavenumber for the analysis increments. The relevant computational costs and parallel scalability are represented. The multiple-resolution approach is a distinguishable aspect of this data assimilation system. The wavenumber, up to which the analysis is conducted, increases as the outer iteration progresses. This multiresolution strategy is based on an investigation into the change of spectral components of analysis increments. The multi-resolution outer-loop provides cost-effective analysis-improvement, by explicitly controlling the analysis increments entered into the observation operator. To utilize the high-resolution deterministic forecast as a background state, it is subtracted from the forecast ensemble, to produce ensemble forecast perturbation that is hybridized with static background error covariance. Based on the cycled analysis experiments, the higher-resolution deterministic forecast is shown to preserve the high-frequency feature of the analysis increment relative to the ensemble mean forecast. 相似文献