Spatial mapping of groundwater potential using data-driven evidential belief function, knowledge-based analytic hierarchy process and an ensemble approach

Ghosh, Biman

doi:10.1007/s12665-021-09921-y

Cited by 24 publications

(13 citation statements)

References 71 publications

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“…However, many entrepreneurial bases in colleges and universities have problems such as late start-up time, insufficient operating funds, incomplete teachers, and incomplete entrepreneurial courses, which lead to college students unable to systematically master entrepreneurial knowledge, and their enthusiasm is not high. The role of ability is not obvious, and social support has no obvious incentive effect on college students' entrepreneurship [3]. As a result, college students have low entrepreneurial enthusiasm and do not actively participate in innovative and entrepreneurial activities.…”

Section: Introductionmentioning

confidence: 99%

Construction of Incentive Mechanism for College Students’ Innovation and Entrepreneurship Based on Analytic Hierarchy Process

Shen

Yao

Liu

et al. 2022

Wireless Communications and Mobile Computing

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In order to solve the current problem of low willingness of college students to innovate and start a business, this paper puts forward the method of college students’ innovation and entrepreneurship incentive mechanism based on analytic hierarchy process, improves the innovation and entrepreneurship incentive system for college students, optimizes the evaluation index of innovation and entrepreneurship of college students through the analytic hierarchy process, combines the triangular fuzzy number to express the weight evaluation value of the enterprise environmental behavior index, uses the binary semantics to express the evaluation value of the evaluation subcriteria to the enterprise environmental behavior, optimizes the evaluation algorithm, and selects a reasonable college students’ innovation and entrepreneurship incentive scheme. The experimental verification results show that the data of innovation and entrepreneurship activities of the proposed method based on analytic hierarchy process for the construction of incentive mechanism for innovation and entrepreneurship of college students are more than 70%, and the highest is 84.5%. The rationality of the method is more than 90%, and the highest is 96.1%. It has high practicability in practical application process and can better encourage college students to participate in innovation and entrepreneurship activities.

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Section: Introductionmentioning

confidence: 99%

Construction of Incentive Mechanism for College Students’ Innovation and Entrepreneurship Based on Analytic Hierarchy Process

Shen

Yao

Liu

et al. 2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…Al. [62], which showed 84% accuracy, and another study by Ghosh (2021) [63], which revealed validation results of 73%.…”

Section: Validationmentioning

confidence: 80%

Geospatial Multi-Criteria Evaluation Using AHP–GIS to Delineate Groundwater Potential Zones in Zakho Basin, Kurdistan Region, Iraq

Sulaiman,

Mustafa

2023

Earth

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Groundwater availability in the Zakho Basin faces significant challenges due to political issues, border stream control, climate change, urbanization, land use changes, and poor administration, leading to declining groundwater quantity and quality. To address these issues, this study utilized the Analytic Hierarchy Process (AHP) and geospatial techniques to identify potential groundwater sites in Zakho. The study assigned weights normalized through the AHP eigenvector and created a final index using the weighted overlay method and specific criteria such as slope, flow accumulation, drainage density, lineament density, geology, well data, rainfall, and soil type. Validation through the receiver operating characteristic (ROC) curve (AUC = 0.849) and coefficient of determination (R2 = 0.81) demonstrated the model’s accuracy. The results showed that 17% of the area had the highest potential as a reliable groundwater source, 46% represented high-to-moderate potential zones, and 37% had low potential. Flat areas between rivers and high mountains displayed the greatest potential for groundwater development. Identifying these potential sites can aid farmers, regional planners, and local governments in making precise decisions about installing hand pumps and tube wells for a regular water supply. Additionally, the findings contribute to the development of a sustainable groundwater management plan, focusing on improving water usage and protecting water-related ecosystems in the region. Identification of the optimum influencing factors, arrangement of the factors in a hierarchy, and creation of a GWPI map will allow further planning for groundwater preservation and sustainability. This project can be conducted in other areas facing droughts.

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“…This function is inversely proportional to the level of infiltration and permeability. A high drainage density indicates less infiltration, so it has less groundwater potential (Ghosh, 2021). The results of the analysis show that the drainage density is slightly spread over the Serayu watershed, especially in the middle and upper reaches of the river (Figure 6).…”

Section: Drainage Densitymentioning

confidence: 98%

Groundwater Potential Zone Classification Using Geospatial Approach

Hardanto

Mustofa

Ardiansyah

2023

JTEP-L

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Groundwater is an important process in the watershed hydrological system. Serayu watershed, the largest in Central Java Province, has bio-physic spatial variability that influences groundwater recharging. The aim is to derive the groundwater potential zone of the Serayu watershed. Five thematic maps used and applied for groundwater potential analysis, were lithology, land use land cover, lineament density, drainage density, and slope gradient. Distribution of Lithology data, Digital Elevation Model (DEM), and Landsat 8 image were analyzed to thematic raster with 1 x 1 km resolution. Weighted index was calculated regarding the relation of five influence parameters then were overlaid and calculated by using QGIS-calculator. Groundwater classified into five categories, namely poor, low, moderate, good, and very good. Based on the final groundwater potential map, 0.02% of 3,727 km2 is poor category, however most of Serayu watershed have moderate to good (48.77 and 29.77 %, respectively). The percentage of very good (10.57%) and low (10.87%) classes were rather similar. Spatial variability of groundwater distribution indicates the complex characteristics of the Serayu watershed, so more serious attention from the perspective of research and management of water resources in the future, is needed. Keywords: Groundwater, Multi-criteria, QGIS, Recharging, Serayu watershed.

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Spatial mapping of groundwater potential using data-driven evidential belief function, knowledge-based analytic hierarchy process and an ensemble approach

Cited by 24 publications

References 71 publications

Construction of Incentive Mechanism for College Students’ Innovation and Entrepreneurship Based on Analytic Hierarchy Process

Construction of Incentive Mechanism for College Students’ Innovation and Entrepreneurship Based on Analytic Hierarchy Process

Geospatial Multi-Criteria Evaluation Using AHP–GIS to Delineate Groundwater Potential Zones in Zakho Basin, Kurdistan Region, Iraq

Groundwater Potential Zone Classification Using Geospatial Approach

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