We studied the relationships between streamwater chemistry and the topography of subcatchments in the Dorokawa watershed in Hokkaido Island, northern Japan, to examine the use of topography as a predictor of streamwater chemistry in a watershed with relatively moderate terrain compared with other regions of Japan. Topographic characteristics of the Dorokawa watershed and its subcatchments were ...

Groundwater served as the major source of water for existing biophysical species in an ecosystem. In recent years, depletion level groundwater becomes emerging serious environmental issue due to anti-reciprocal man and human activities such global climate change. This study aims examine potential areas using semi-qualitative research design, based on Analytic Hierarchy Process. The focused is G...

Taita Taveta County (TTC) is one of the world’s biodiversity hotspots in highlands with some megafaunas lowlands. Detailed mapping terrestrial ecosystem whole county global significance for conservation. Here, we present a land cover map 2020 based on satellite observations, machine learning algorithm, and reference database accuracy assessment. For production processing chain, temporal metrics...

Abstract In this research, the main objective is to model and map flood susceptibility in Que Son district, Quang Nam province, Vietnam using one of effective machine learning namely CatBoost. With purpose, a total 96 non-flood locations set 10 conditioning factors were collected construct geospatial database. Thereafter, Shap feature importance method was used validate select most important fo...

This study deals with landslide susceptibility mapping in the northern part of Lecco Province, Lombardy Region, Italy. In so doing, a valid inventory map and thirteen predisposing factors (including elevation, slope aspect, degree, plan curvature, profile distance to waterway, road, fault, soil type, land use, lithology, stream power index, topographic wetness index) form spatial database withi...

Landslides are a natural disasters that frequently occur in the northern mountainous region of Vietnam. This study aims to compare efectiveness Analytical Hierarchy Process (AHP) and Frequency Ratio (FR) modeling mapping susceptibility landslides with support Geographic Information System (GIS). The area is Van Yen district Bai province, which experiences high frequency annually. Ten factors we...

Ground surface changes caused by freeze-thaw action affect agriculture and forestry, as well artificial structures such roads. In this study, an area is examined in which reforestation urgently needed but the growth of naturally restored seedlings planted trees impaired action. Thus, a method measuring induced ground mitigating their negative impacts needed. Real-time kinematic unmanned aerial ...

Gully erosion susceptibility mapping is an essential land management tool to reduce soil damages. This study investigates gully based on multiple diagnostic analysis, support vector machine and random forest algorithms, also a combination of these models, namely the ensemble model. Thus, map in Kondoran watershed Iran was generated by applying models occurrence non-occurrence points (as target ...

Abstract For the globally degrading groundwater resources in terms of quantity and quality, proper assessment management become crucial for their sustainable use. This study aims to delineate potential zones using an integrated approach geographic information system (GIS) Analytical Hierarchy Process (AHP) Siwalik Kankai River Basin, Eastern Nepal. Different thematic layers like hydrogeomorphol...