Suchergebnisse

This volume presents the proceedings of the 2nd International Conference of Geography and Geoinformatics for Sustainable Development (ICGGS), held in Phuket, Thailand, April 7-8, 2022. The collection focuses on the importance of spatial thinking and planning by applying geography concepts and geospatial technology innovations in solving global problems such as environmental degradation, urban pollution, and climate change. The proceedings consist of case studies on wide-ranging spatial issues in developing countries, addressing challenges in mainstreaming sustainable development paradigms into their economies to improve natural resource and environmental management. One of the main goals of the volume is to share and exchange different points of view regarding global, regional, and local spatial issues and how to use geography and geoinformatics for building resilience in multiple sectors, e.g., water, ecosystems, agriculture, and health. It offers the opportunity to learn about how geospatial concepts and technologies can contribute to environmental sustainability, while advancing education and research related to geography and geoinformatics. It will be a useful resource for students and researchers to initiate research ideas related to geospatial topics in regional and local scales.

Intro -- Contents -- Flood Susceptibility Mapping Using a Frequency Ratio Model: A Case Study of Chai Nat Province, Thailand -- 1 Introduction -- 2 Study Area -- 3 Methodology -- 3.1 Flood Inventory Map -- 3.2 Flood-Conditioning Factors -- 3.3 Frequency Ratio Method -- 3.4 Model Validation -- 4 Results and Discussion -- 5 Conclusion -- References -- Influence of Hydrosphere Material Knowledge on the Attitude of High School Students in Conducting Water Conservation in Brebes Regency, Indonesia -- 1 Introduction -- 2 Methods -- 2.1 Research Design -- 2.2 Sampling Techniques -- 2.3 Data Collection Techniques -- 2.4 Instrument Development -- 2.5 Data Analysis Techniques -- 3 Results and Discussion -- 3.1 Validity and Reliability -- 3.2 Classical Assumption Test -- 3.2.1 Normality Test -- 3.2.2 Linearity Test -- 3.2.3 Heteroscedasticity Test -- 3.3 Simple Linear Regression Analysis -- 4 Conclusion -- References -- Optimizing Multi-reservoir Systems with the Aid of Genetic Algorithm: Mahanadi Reservoir Project Complex, Chhattisgarh -- 1 Introduction -- 2 Study Area and Data Used -- 2.1 Data Used -- 3 Model Formulation -- 3.1 Fitness Function -- 3.2 Constraints -- 4 Methodology -- 4.1 Genetic Algorithm -- 4.2 Reservoir Performance Evaluations -- 4.2.1 Reliability -- 4.2.2 Resilience -- 4.2.3 Vulnerability -- 4.2.4 Sustainability Index -- 4.3 Model Performance Criteria -- 5 Results and Discussions -- 5.1 Sensitivity Analysis -- 5.2 Optimization Operation Policy -- 5.3 Performance Measures -- 6 Conclusions -- References -- Monitoring of Morphological Change in Lam Phachi River Using Geo-informatics System -- 1 Introduction -- 2 Study Area -- 3 Data and Method -- 3.1 Satellite Images -- 3.1.1 Thaichote Satellite -- 3.1.2 Sentinel-2A -- 3.2 River Extraction Method -- 3.2.1 Normalized Difference Water Index (NDWI).