Fires are one of the most destructive forces in natural ecosystems. This study aims to develop and compare four hybrid models using two well-known machine learning models, support vector regression (SVR) adaptive neuro-fuzzy inference system (ANFIS), as well meta-heuristic whale optimization algorithm (WOA) simulated annealing (SA) map wildland fires Jerash Province, Jordan. For modeling, 109 f...

Gully erosion is the most intensive type of water and it leads to land degradation across world. Therefore, analyzing spatial occurrence this phenomenon crucial for management. The objective research was predict gully susceptibility in Kakia-Esamburmbur catchment Narok, Kenya, which badly affected by erosion. GIS ensemble techniques using weight evidence (WoE) logistic regression (LR) models we...

Forestry activities should be carried out within the purview of sustainable forestry while reaping benefits forestry. Accordingly, construction forest roads through forests carefully planned, especially in protection forests. Forest areas Turkey are generally widespread mountainous and high sloping that susceptible to landslides-landslide susceptibility is one most important criteria for select...

Landslides are a natural hazard that can endanger human life and cause severe environmental damage. A landslide susceptibility map is essential for planning, managing, preventing landslides occurrences to minimize losses. variety of techniques employed susceptibility; however, their capability differs depending on the studies. The aim research produce Langat River Basin in Selangor, Malaysia, u...

Many watershed models employ the Soil Conservation Service Curve Number (SCS-CN) approach for runoff simulation based on soil and land use information. These implicitly assume that is generated by Hortonian process and; therefore, cannot correctly account effects of topography, variable source area (VSA) and/or moisture distribution in a watershed. This paper presents new distributed CN-VSA met...

The main purpose of this paper is to present some potential applications of sophisticated data mining techniques, such as artificial neural network (ANN) and boosted tree (BT), for landslide susceptibility modeling in the Yongin area, Korea. Initially, landslide inventory was detected from visual interpretation using digital aerial photographic maps with a high resolution of 50 cm taken before ...

Flash flood has been increasing in the Khartoum area, Sudan due to geographical conditions and climatic change as heavy rainfall and high temperature, therefore the present work tried to estimate the sensitivity of flash flood. The present work proposes an advanced technique of flood sensitivity mapping using the method of analytical hierarchy process. Ten factors as elevation, slope, distance ...

Vegetation pattern and landscape structure intersect to exert strong control over ecohydrological dynamics at the watershed scale. The hydrologic implications of vegetation disturbance (e.g. fire, disease) depend on the spatial pattern and form of environmental change. Here, we investigate this intersection at Tenderfoot Creek Experimental Forest (TCEF), Montana, with a focus on the mountain pi...