[HTML][HTML] Evaluation of deep learning algorithms for national scale landslide susceptibility map** of Iran
The identification of landslide-prone areas is an essential step in landslide hazard
assessment and mitigation of landslide-related losses. In this study, we applied two novel …
assessment and mitigation of landslide-related losses. In this study, we applied two novel …
[HTML][HTML] The current situation and trend of land ecological security evaluation from the perspective of global change
L Li, M Fu, Y Zhu, H Kang, H Wen - Ecological Indicators, 2024 - Elsevier
As an inevitable issue in the contemporary world, global change imposes a profound and
complex influence on the Earth's ecosystem. This study begins by addressing the adaptation …
complex influence on the Earth's ecosystem. This study begins by addressing the adaptation …
Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method
Flash-floods are increasingly recognized as a frequent natural hazard worldwide. Iran has
been among the most devastated regions affected by the major floods. While the temporal …
been among the most devastated regions affected by the major floods. While the temporal …
A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran
In north of Iran, flood is one of the most important natural hazards that annually inflict great
economic damages on humankind infrastructures and natural ecosystems. The Kiasar …
economic damages on humankind infrastructures and natural ecosystems. The Kiasar …
A novel EDAS approach on intuitionistic fuzzy set for assessment of health-care waste disposal technology using new parametric divergence measures
Nowadays, health-care waste management is a challenging issue for both the public and
government sectors because it contains infectious, radioactive, or hazardous waste …
government sectors because it contains infectious, radioactive, or hazardous waste …
Trend assessment of the watershed health based on DPSIR framework
In integrated watershed management, to identify efficient managerial responses,
assessment of the status and dynamic of watershed health is crucial. This study focused on …
assessment of the status and dynamic of watershed health is crucial. This study focused on …
Flood susceptibility map** using an improved analytic network process with statistical models
Flooding is a natural disaster that causes considerable damage to different sectors and
severely affects economic and social activities. The city of Saqqez in Iran is susceptible to …
severely affects economic and social activities. The city of Saqqez in Iran is susceptible to …
Potential assessment of multi-renewable energy farms establishment using spatial multi-criteria decision analysis: A case study and map** in Iran
Many parts of the world may have suitable conditions and potential to establish two or more
renewable energy farms. Given the pervasive use of renewable energy globally, assessing …
renewable energy farms. Given the pervasive use of renewable energy globally, assessing …
Assessment of urban flood risk factors using Monte Carlo analytical hierarchy process
Sustainability of the built environment is endangered by urban floods, which the frequency
and impact of which have increased incrementally due to rapid population growth …
and impact of which have increased incrementally due to rapid population growth …
Incorporating multi-criteria decision-making and fuzzy-value functions for flood susceptibility assessment
Floods are among the most frequently occurring natural disasters and the costliest in terms
of human life and ecosystem disturbance. Identifying areas susceptible to flooding is …
of human life and ecosystem disturbance. Identifying areas susceptible to flooding is …