Probabilistic Determination of Groundwater Using Semi-Qualitative MCDA-Based Analytic Hierarchy Process Approach in Sunsari District, Nepal

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 Geographic Information System analysis determining factors, distance from stream river, precipitation, pond frequency, normalized difference index, land-use/land cover, drainage density, slope gradient, soil, topographic wetness index. Receiver Operating Characteristics were used check accuracy final calculated map zone. 5 points Likert scale ranges very poor (1) high (5) analyse zones. result shows that 0.81 percent area potentiality area. Other contained 8.13 poor, moderate (19.94%), (39.72%) zones (31.41%). showed under curve success rate 0.64% prediction 0.76%. a reliable degree predictability near spatial distribution marshes, lakes, bodies finding are by factors river stream, this empirical can be applied analyze sustainable effective resources management activities.