The uncertainty of flash flood makes them highly difficult to predict through conventional models. physical hydrologic models prediction any large area is very compute as it requires lot data and time. Therefore remote sensing based (from statistical machine learning) have become popular due open access lesser times. There a continuous effort improve the accuracy these introducing new methods. This study focused on modeling novel hybrid learning models, which can accuracy. ensemble...

Droughts can be regarded as one of the most spatially complex geohazards, causing a severe impact on socio-economic aspects. Preparing comprehensive drought management plan is necessary to mitigate risks, and first step towards achieving it preparation vulnerability map. The present study integrates geospatial methods with Fuzzy-Analytical Hierarchy Process (Fuzzy-AHP) technique, prepare map for Odisha, India. Total 24 parameters under 2 separate categories, namely physical socio-economic,...

Wetland dynamics research primarily concentrates on individual wetland’s loss or gain of area where landscape specific approach is majorly ignored. While the fate floodplain wetlands depends largely actions parent rivers such as increased flow, channel migration path, flooding events, cut-offs and others that are rather episodic in nature, so overall situation may not be defined by any wetland. Therefore, instead using wetland-specific strategies if landscape-specific approaches adopted, it...

Gully erosion is the most active hydro-geomorphological phenomenon in continental areas due to high rates triggered by gully system. Monitoring and modelling development distribution will contribute understand landforms evolution risk assessment. The purpose of current research model head-cut susceptibility (HCGES) using support vector machine (SVM), random forest (RF) novel ensemble with four Oblique methods (Logistic Regression, Ridge Partial least squares (PLS) Support (SVM)) (hereafter...

Piping erosion is one form of water that leads to significant changes in the landscape and environmental degradation. In present study, we evaluated piping modeling Zarandieh watershed Markazi province Iran based on random forest (RF), support vector machine (SVM), Bayesian generalized linear models (Bayesian GLM) learning algorithms. For this goal, due importance various geo-environmental soil properties evolution creation erosion, 18 variables were considered for susceptibility watershed....

Floodplain wetlands in their optimum habitat condition act as the preventive mechanism from environmental degradation like pollution, lowering of groundwater table, flood, temperature control and others. Therefore, protection stability assessment these are very much indispensable for sake environment. In present work, a floodplain region produced by River Ganga has been done considering hydro-geomorphological (HGM) surface water availability (SWA) parameters. The fuzzy classification (FC)...

Abstract. The world’s largest mangrove ecosystem Sundarbans lies in the southwestern part of Ganges-Brahmaputra Delta. health, function, and services forest depend on availability freshwater flow within deltaic system. rivers, which used to feed delta nourish now stand disconnected from their upstream sources. unavailability restricts growth freshwater-loving mangroves has potential affect health existing limiting ability provide services. Due high salinity, natural reproduction these...

Abstract Mangroves are the most productive ecosystems that provide stabilization to coastlines, help in carbon sequestration, reduce storm surges, defend coastal inhabitants and play a role sustaining local economy. halophytic nature typically thrive along tropical subtropical coastlines saline intertidal zone. This paper explores potentiality of Sentinel-2 MSI Imagery separating different mangrove genus has been evaluated using classification algorithms like Maximum Likelihood Classifier...

Abstract The Indian Sundarbans partly hosts the world’s largest mangrove forest and support livelihood of almost five million people. Holocene delta was formed by river Ganges. decay distributaries Ganges in deltaic West Bengal began with eastward avulsion rivers now stand disconnected from their sources therefore do not get a significant amount freshwater upstreams. people depend on services ecosystem which is directly linked to upstream flow, rainfall groundwater. scarcity during dry...

Abstract Machine learning techniques offer powerful tools for the assessment and management of groundwater resources. Here, we evaluated potential maps (GWPMs) in Md. Bazar Block Birbhum District, India using four GIS-based machine-learning algorithms (MLA) such as predictive neural network (PNN), decision tree (DT), Naïve Bayes classifier (NBC), random forest (RF). We used a database 85 dug wells one piezometer location identified extensive field study, employed 12 influencing factors...

Soil erosion is threatening land sustainability. Piping one of the degradation processes that lead to significant landscape and environmental changes, request a proper mapping survey. The purpose this study survey piping susceptibility maps in Zarandeieh watershed Markazi province using Random Forest (RF), Support Vector Machine (SVM), Bayesian Generalized Linear Models (Bayesian GLM) machine learning methods. For purpose, due influence different physiographic, soil conditions on development...

This paper describes how logic programming provides flexibility in complex forms filing not previously available with hard-coded solutions. The Intelligent Filing Manager (INTELLIFM) software, a application, has been developed for high-volume publishing applications where large sets of varied need to be filed simultaneously. In the United States, insurers who wish do business every state, there are approximately 700 different forms. Logic programming, combined shrink-wrapped such as...