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All Journal International Journal of Hydrological and Environmental for Sustainability Smart Society: Community Service and Empowerment Journal
Hadap, Arti
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Mapping Blue Economy Potential Using Spatial Statistical Downscaling Model: Analysis of the Impact of Climate Change on Freshwater Fish Resources Aghnyn, Mutiara; Rachmawati, Rofah Nur; Abdurrazzaq, Achmad; Brahme, Nameeta; Dixit, Aparna; Hadap, Arti
International Journal of Hydrological and Environmental for Sustainability Vol 3, No 1 (2024): International Journal of Hydrological and Environmental for Sustainability
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/ijhes.v3i1.440

Abstract

Blue Economy is a sustainable economic concept that focuses on utilizing economic resources in marine, coastal and land ecosystems. Sustainable use of freshwater resources in the blue economy for inland waters supports economic growth with environmental balance. The Statistical Downscaling method is used to understand the impact of climate change on freshwater fish resources. To carry out mapping of the potential of the blue economy, it is carried out by statistical downscaling modeling with satellite variables with Integrated Nested Laplace Approximation parameter estimates. The response variable is satellite variables in the form of average rainfall. The modeling results show that Kalipuro District has the highest blue economy potential, while Kalibaru has the lowest. From the research results, that satellite data on average rainfall is a strong basis for printing statistical downscaling, increasing efficiency with open source digital data sources. Satellite data integration, maximizing analysis and comprehensive blue economy potential efficiency.
Enhancing Students’ Creative Thinking through Project-Based Physics E-Modules Diani, Rahma; Yuberti, Yuberti; Kurnia, Adek Erni; Hadap, Arti
Smart Society Vol 4, No 1 (2024): June 2024
Publisher : FOUNDAE (Foundation of Advanced Education)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/smartsociety.v4i1.615

Abstract

The creative thinking ability of students in physics learning is still relatively low, especially because the strategies, methods or learning media are less varied and do not involve students actively in the learning process. This study aims to determine the effect of project-based learning physics e-modules on students' creative thinking abilities. This study is a pre-experimental study using a one group pretest-posttest design. The sample consisted of 90 students selected using the purposive sampling technique. This project-based learning physics e-module product is effective in improving students' creative thinking abilities as seen from the results of the n-gain test to the three schools, an average n-gain of 0.71 was obtained in the high category. Based on the interpretation of the effectiveness of the n-gain value of 71% obtained, it is classified into the fairly effective category. And seen from the hypothesis test, it produces sig. less than 0.05. This study has implications for the effectiveness of students' creative thinking abilities because of the influence of project-based learning physics e-modules.
Alkalinity, Major and Trace Elements as Hydrological Tracers in Different Seasons: Implications for the Origin of Hot Springs in Non-Volcanic Areas, Odisha, India Dewalkar, Snehal V; Shinde, Nishant; Kaur, Manmeet; Bhuie, Prabhjot Singh; Hadap, Arti; Kshetri, Shivmurti B
International Journal of Hydrological and Environmental for Sustainability Vol 3, No 3 (2024): International Journal of Hydrological and Environmental for Sustainability
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/ijhes.v3i3.518

Abstract

During the rainy season, surface water can infiltrate and mix with groundwater, making it difficult to identify different groundwater sources. In addition, mixing of water from different sources over time can obscure the original characteristics of groundwater. Continuous monitoring equipment can be affected by seasonal weather conditions, leading to data gaps or inaccuracies. In this study, we used geochemical analyses such as alkalinity, major elements, hydrological modelling and long-term monitoring before, during and after the rainy season to understand the changes in concentrations, and determine the origin of groundwater sources despite different seasonal conditions. The data from this study was taken from a previous study and examined 18 water samples with different locations and weather conditions. Determination of 9 elements including alkalinity and trace elements was conducted as the main elements in this study. In the experiment, water temperature, pH, alkalinity, and free CO content were measured in situ from non-volcanic hot water, Odisha, India. In the process, the water was put into two polypropylene bottles, and cation and anion analyses were conducted in the laboratory. The results showed that seasonal differences clearly affected the changes in alkalinity concentration of each hot spring. However, hot springs with higher alkalinity experienced larger changes. In contrast, the analysed chlorine (Cl) concentrations 100 mg/L were more susceptible to shifts due to monsoon, whereas Cl concentrations 100 mg/L were more homogeneous despite the influence of monsoon (seasonal differences). Differences in the rainy season affected the concentration changes in Attri, Tarabalo and Deulajhari hot springs. Meanwhile, hot springs dominated by meteoric water such as Badaberena, Taptapani and Boden are less affected. This proves that Attri, Tarabalo and Deulajhari hot springs originate and are dominated by deep groundwater.
Co-Authors Abdurrazzaq, Achmad Aghnyn, Mutiara Bhuie, Prabhjot Singh Brahme, Nameeta Dewalkar, Snehal V Dixit, Aparna Kshetri, Shivmurti B Kurnia, Adek Erni Manmeet Kaur Rachmawati, Rofah Nur Rahma Diani, Rahma Shinde, Nishant Yuberti