Romulus Costache
YOU?
Author Swipe
View article: Flood susceptibility estimation using randomization-based machine learning models. A case study at the Putna river basin, Romania
Flood susceptibility estimation using randomization-based machine learning models. A case study at the Putna river basin, Romania Open
Floods represent the natural hazards that generate the most damage at the international level. A very important stage in the flood risk management activity is the mapping of areas susceptible to these hazards. In this context, in the prese…
View article: Resilience Readiness Levels for buildings: Establishing multi-hazard resilience metrics and rating systems
Resilience Readiness Levels for buildings: Establishing multi-hazard resilience metrics and rating systems Open
The built environment is vulnerable to climate-induced extreme events and natural disasters, which are repeatedly exposing communities to severe consequences and market disruptions. In response, the construction industry is developing resi…
View article: Flood Susceptibility Assessment Using Multi-Tier Feature Selection and Ensemble Boosting Machine Learning Models
Flood Susceptibility Assessment Using Multi-Tier Feature Selection and Ensemble Boosting Machine Learning Models Open
Flood susceptibility modeling (FSM) plays a key role in advancing proactive disaster risk reduction and spatial planning. This research developed FSM for the Buzău River catchment in Romania—a region historically vulnerable to recurrent fl…
View article: Flood risk mapping in an urbanized tropical river basin in India using MCDA-AHP: a post-storm event evaluation
Flood risk mapping in an urbanized tropical river basin in India using MCDA-AHP: a post-storm event evaluation Open
Flooding is a persistent hazard in tropical regions of India, primarily driven by intense precipitation and further aggravated by anthropogenic activities. Despite ongoing efforts, a gap persists in the development of comprehensive risk mo…
View article: Climate Change and Hydrological Processes
Climate Change and Hydrological Processes Open
In recent decades, many regions have experienced a noticeable increase in the frequency and intensity of extreme events, posing serious challenges to water resource management [...]
View article: Highlighting the role of traditional paddy for sustainable agriculture and livelihood: issues, policy intervention and the pathways
Highlighting the role of traditional paddy for sustainable agriculture and livelihood: issues, policy intervention and the pathways Open
Traditional paddy cultivars (TPC) have a high nutritional and medicinal value and can survive severe stress conditions. TPCs are soil and region-specific, produced with organic manure, and free of pesticides or insecticides; as a result, t…
View article: Enhancing flood susceptibility mapping in Meghna River basin by introducing ensemble Naive Bayes with stacking algorithms
Enhancing flood susceptibility mapping in Meghna River basin by introducing ensemble Naive Bayes with stacking algorithms Open
This article intends to assess flood susceptibility mapping in Meghna River basin (MRB) and identified flood susceptible regions using three benchmark models including random forest (RF), support vector machine (SVM) and bagging with Naïve…
View article: Flood hazard assessment in the Danube Delta using 2D hydraulic modeling
Flood hazard assessment in the Danube Delta using 2D hydraulic modeling Open
The study analyzes flood risk in the Danube Delta, a fragile ecosystem at the intersection of natural processes and anthropogenic interventions, increasingly exposed to the effects of climate change. Using 2D hydraulic modeling with HEC-RA…
View article: Intelligent Methods for Estimating the Flood Susceptibility in the Danube Delta, Romania
Intelligent Methods for Estimating the Flood Susceptibility in the Danube Delta, Romania Open
Floods, along with other natural and anthropogenic disasters, profoundly disrupt both society and the environment. Populations residing in deltaic regions worldwide are particularly vulnerable to these threats. A prime example is the Danub…
View article: Optimized ensemble-based flood hazard mapping in low altitude subtropical riverine terrane
Optimized ensemble-based flood hazard mapping in low altitude subtropical riverine terrane Open
Among various natural hazards, those induced by hydrological and meteorological factors have emerged as the most frequent and damaging. India is at the second from the top, after Bangladesh, of flood hazard-affected countries of the world,…
View article: Developing flood mapping procedure through optimized machine learning techniques. Case study: Prahova river basin, Romania
Developing flood mapping procedure through optimized machine learning techniques. Case study: Prahova river basin, Romania Open
Study region: Prahova river basin located in the central-southern region of Romania. Study focus: This study aims to assess the susceptibility to flooding by using state-of-the-art machine learning and optimization procedures. To achieve t…
View article: Spatiotemporal snowline status and climate variability impact assessment: a case study of Pindari River Basin, Kumaun Himalaya, India
Spatiotemporal snowline status and climate variability impact assessment: a case study of Pindari River Basin, Kumaun Himalaya, India Open
The snowline exhibits significant seasonal shifts upward and downward, reflecting the ever-changing dynamics of the seasons and being influenced by climate variations, which can vary annually. These fluctuations profoundly impact the cryos…
View article: Flood mapping based on novel ensemble modeling involving the deep learning, Harris Hawk optimization algorithm and stacking based machine learning
Flood mapping based on novel ensemble modeling involving the deep learning, Harris Hawk optimization algorithm and stacking based machine learning Open
Among the various natural disasters that take place around the world, flood is considered to be the most extensive. There have been several floods in Buzău river basin, and as a result of this, the area has been chosen as the study area. F…
View article: Assessment of groundwater potential zones in data-scarce regions using GIS-based multicriteria decision making approach
Assessment of groundwater potential zones in data-scarce regions using GIS-based multicriteria decision making approach Open
Groundwater is an essential natural resource that sustains numerous ecological systems and human lifestyles. The Jhargram district is facing persistent groundwater development issues, requiring comprehensive monitoring and planning, as mos…
View article: Sustainable Water Management for Small Farmers with Center-Pivot Irrigation: A Hydraulic and Structural Design Perspective
Sustainable Water Management for Small Farmers with Center-Pivot Irrigation: A Hydraulic and Structural Design Perspective Open
In Pakistan, surface water supply for irrigation is decreasing, while water demand is increasing for agriculture production. Also, due to the fast rate of population growth, land holding capacity is decreasing. So, there is a need to devel…
View article: Using fuzzy and machine learning iterative optimized models to generate the flood susceptibility maps: case study of Prahova River basin, Romania
Using fuzzy and machine learning iterative optimized models to generate the flood susceptibility maps: case study of Prahova River basin, Romania Open
In this work, the vulnerability to flooding in the Prahova River basin was calculated and analyzed using advanced methods and techniques. Thus, 2 hybrid models represented by Iterative Classifier Optimizer – Multiclass Alternating Decision…
View article: Land use and climate change-induced soil erosion mapping in a sub-tropical environment
Land use and climate change-induced soil erosion mapping in a sub-tropical environment Open
One of the most important aspects of the ‘sub-tropical’ monsoon-influenced environment is the issue of ‘soil erosion’ and its related ‘land degradation’. On the other hand, the climate in this area has become quite extreme. According to th…
View article: Unlocking the hidden potential: groundwater zone mapping using AHP, remote sensing and GIS techniques
Unlocking the hidden potential: groundwater zone mapping using AHP, remote sensing and GIS techniques Open
Groundwater resource problems are increasing development and planning challenges due to climate change and overexploitation, necessitating assessments of their potential and productivity. The study area has been facing a groundwater level …
View article: Simulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios
Simulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios Open
Assessing the impacts of climate change and land use/land cover changes on water resources within a catchment is essential because it helps us understand how these dynamic factors affect the quantity, quality, and availability of freshwate…
View article: Multivariate statistical algorithms for landslide susceptibility assessment in Kailash Sacred landscape, Western Himalaya
Multivariate statistical algorithms for landslide susceptibility assessment in Kailash Sacred landscape, Western Himalaya Open
Landslide susceptibility mapping plays an imperative role in mitigating hazards and determining the future direction of developmental activities in mountainous regions. Here, we used 518 landslide occurrences and nine landslide-conditionin…
View article: Novel ensemble models and their optimization based flood susceptibility modelling in Indian Himalayan Foreland Basin
Novel ensemble models and their optimization based flood susceptibility modelling in Indian Himalayan Foreland Basin Open
This study focuses on the mapping of flood susceptibility in a specific region characterized by a low-altitude-range, sub-tropical monsoonal climate, and a riverine floodplain environment within the Middle Ganga Plain. To achieve this, fou…
View article: Flood Susceptibility Modeling Using an Advanced Deep Learning-Based Iterative Classifier Optimizer
Flood Susceptibility Modeling Using an Advanced Deep Learning-Based Iterative Classifier Optimizer Open
We developed a novel iterative classifier optimizer (ICO) with alternating decision tree (ADT), naïve Bayes (NB), artificial neural network (ANN), and deep learning neural network (DLNN) ensemble algorithms to build novel ensemble computat…
View article: Predicting Distribution and Range Dynamics of Three Threatened Cypripedium Species under Climate Change Scenario in Western Himalaya
Predicting Distribution and Range Dynamics of Three Threatened Cypripedium Species under Climate Change Scenario in Western Himalaya Open
Climate change and anthropogenic pressure have significantly contributed to the decline of biodiversity worldwide, particularly in mountain ecosystems such as the Himalaya. In addition to being relatively sensitive to disturbances, orchids…
View article: Landslide Susceptibility Assessment of a Part of the Western Ghats (India) Employing the AHP and F-AHP Models and Comparison with Existing Susceptibility Maps
Landslide Susceptibility Assessment of a Part of the Western Ghats (India) Employing the AHP and F-AHP Models and Comparison with Existing Susceptibility Maps Open
Landslides are prevalent in the Western Ghats, and the incidences that happened in 2021 in the Koottickal area of the Kottayam district (Western Ghats) resulted in the loss of 10 lives. The objectives of this study are to assess the landsl…
View article: Linking hydrological connectivity to gully erosion in the lateritic badland of sub-tropical environment: An in-situ experimental study within the Grand Canyon of Bengal, Eastern India
Linking hydrological connectivity to gully erosion in the lateritic badland of sub-tropical environment: An in-situ experimental study within the Grand Canyon of Bengal, Eastern India Open
Geomorphological processes that occur on the surface structure of the region are included in badland geomorphology. Rapid soil erosion and the production of various geomorphic characteristics are related to badland development. The expansi…
View article: Wildfire Risk Zone Mapping in Contrasting Climatic Conditions: An Approach Employing AHP and F-AHP Models
Wildfire Risk Zone Mapping in Contrasting Climatic Conditions: An Approach Employing AHP and F-AHP Models Open
Wildfires are one of the gravest and most momentous hazards affecting rich forest biomes worldwide; India is one of the hotspots due to its diverse forest types and human-induced reasons. This research aims to identify wildfire risk zones …
View article: Multivariate statistical algorithms for landslide susceptibility assessment in Kailash Sacred landscape, Western Himalaya
Multivariate statistical algorithms for landslide susceptibility assessment in Kailash Sacred landscape, Western Himalaya Open
Landslide susceptibility mapping plays an imperative role in mitigating hazards and determining the future direction of developmental activities in mountainous regions. Here, we used 518 landslide occurrences and nine landslide-conditionin…
View article: Spatial implementation of frequency ratio, statistical index and index of entropy models for landslide susceptibility mapping in Al-Balouta river basin, Tartous Governorate, Syria
Spatial implementation of frequency ratio, statistical index and index of entropy models for landslide susceptibility mapping in Al-Balouta river basin, Tartous Governorate, Syria Open
Landslide vulnerability prediction maps are among the most important tools for managing natural hazards associated with slope stability in river basins that affect ecosystems, properties, infrastructure and society. Landslide events are am…