Developing Infiltration Model: Random Forest for Micro-Hydro Power Planning DOI Open Access

Annisa R. Varhana,

Widya Utama, Rista Fitri Indriani

и другие.

IOP Conference Series Earth and Environmental Science, Год журнала: 2024, Номер 1418(1), С. 012055 - 012055

Опубликована: Дек. 1, 2024

Abstract The goal of this study is to determine the classification infiltration for Micro-Hydro Power Planning using Random Forest (RF) machine learning algorithm. Utilizing Landsat 8 satellite imagery, data provides a comprehensive basis analyzing various environmental factors relevant infiltration. RF algorithm models and classifies rates, ensuring precise reliable predictions essential effective micro-hydro power planning. model evaluation results demonstrate excellent performance, with an Overall Accuracy 0.97 Kappa Coefficient 0.96, indicating strong agreement between predicted actual classifications. High Sensitivity, Specificity (0.99 all classes), User values (all above 0.95) underscore model’s ability correctly identify categories maintain consistency in positive negative predictions. Feature importance analysis highlights that certain spectral bands significantly enhance predictive capability, Band 3 playing crucial role (importance score 100), followed by Bands 7 6. These capture specific signatures associated different improving performance reliability. research contributes Sustainable Development Goals (SDGs), supporting SDG 6 (clean water sanitation), (affordable clean energy), 9 (industry, innovation, infrastructure), 13 (climate action), 15 (life on land) through improved resource management stewardship.

Язык: Английский

Hydrogeological Characterization of the Multilayer Aquifer System in the Tunisian-Algerian Border Region Using Geological and Geophysical Techniques DOI
Abdelmouhcene Chibani, Riheb Hadji, Younes Hamed

и другие.

Earth Systems and Environment, Год журнала: 2025, Номер unknown

Опубликована: Фев. 18, 2025

Язык: Английский

Процитировано

1

The impact of neonicotinoid insecticides on amphibians: A comprehensive review and future research challenges DOI
Aline Arantes de Oliveira, Marcelino Benvindo‐Souza, Hellem Victória Ribeiro dos Santos

и другие.

Environmental Research, Год журнала: 2024, Номер 267, С. 120595 - 120595

Опубликована: Дек. 10, 2024

Язык: Английский

Процитировано

3

CO2 emissions in the datong monogenetic volcanic field, eastern China: Implications for the carbon cycle in a continental rift system DOI
Yutao Sun, Xiaoyong Zhao, Yue Zhang

и другие.

Journal of Hydrology, Год журнала: 2025, Номер unknown, С. 132644 - 132644

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

The Sun affects Deep Geothermal Energy DOI
Jifu He, Kewen Li,

Dongguang Wen

и другие.

Renewable Energy, Год журнала: 2025, Номер unknown, С. 122782 - 122782

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Urban Wetlands as EcoHaven Oasis: Hydrogeochemical Insights from the Inciralti-Cakalburnu Urban Wetland (ICUW) in Izmir, Turkiye DOI Creative Commons
Melis Somay‐Altas,

Emre Sanli

Water Air & Soil Pollution, Год журнала: 2025, Номер 236(4)

Опубликована: Март 8, 2025

Язык: Английский

Процитировано

0

Kernel-free quadratic proximal support vector machine with Lp-norm regularization DOI

Xue Yang,

Zhixia Yang,

Junyou Ye

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2025, Номер 151, С. 110658 - 110658

Опубликована: Апрель 5, 2025

Язык: Английский

Процитировано

0

Mathematical model of artificial groundwater recharge DOI
Rakesh Chandra Bhadula,

Ganesh Prasad Pokhariyal,

Mayank Sisodia

и другие.

Journal of Environmental Engineering and Science, Год журнала: 2025, Номер unknown, С. 1 - 12

Опубликована: Апрель 18, 2025

In this paper, four cities in India having different geographical structures, climates, and hydrological components were selected. An area of 500 m 2 from each city has been studied. A mathematical model with three-dimensional hydraulic conductivity, head the aquifer, other factors was adopted, which additional artificial recharge added. The is numerically solved help C++ software, details provided Appendix, graphs plotted to depict status groundwater level after recharge. It found that during study period 2014 2021, increase Bhopal 9 m, for Jaipur 6 Dehradun 6.5 Bangalore 5 m.

Язык: Английский

Процитировано

0

Improving soil water, heat and salt transport simulation under freezing conditions considering salt crystallization and its effect on hydrothermal parameters DOI

Dongmei Ruan,

Jianmin Bian,

Yu-Hsing Wang

и другие.

Journal of Hydrology, Год журнала: 2025, Номер 660, С. 133402 - 133402

Опубликована: Апрель 29, 2025

Язык: Английский

Процитировано

0

Field experiment and numerical simulation on sequence dewatering of a sand inrush tunnel under high water pressure in semi-diagenetic rock: a case study DOI
Jianxiu Wang, Qianyuan Zhang, M.K. Lei

и другие.

Environmental Earth Sciences, Год журнала: 2025, Номер 84(11)

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

Seasonal Geochemical Analysis of Toxic Metal Contamination and Ecological Risk Assessment in Sediments of the Değirmendere River Basin and Estuary, Türkiye DOI Creative Commons
Koray Özşeker, Yahya Terzi̇

Water Air & Soil Pollution, Год журнала: 2025, Номер 236(8)

Опубликована: Июнь 2, 2025

Abstract This study investigates toxic metal contamination in the sediments of Değirmendere River Basin (riverbed and estuary) Türkiye, with aim assessing pollution levels, ecological risks, seasonal variability concentrations. Sediment samples were collected from 20 stations during summer winter 2022 analyzed using geochemical statistical methods. The metals evaluated include Cu, Pb, Zn, Ni, As, Co, V, La. findings reveal that Cu (79.46 ± 20.17 μg g -1 ) Pb (63.83 15.11 exceeded thresholds, highest concentrations observed winter, particularly estuarine areas affected by industrial urban activities. Seasonal variations significant for Zn (Mann-Whitney U, p < 0.05), higher likely due to increased runoff erosion. Geoaccumulation Index (I geo Enrichment Factor (SEF) indicated moderate As. risk index (RI) categorized estuary as a considerable area, RI values ranging 150 319.2. These highlight anthropogenic impacts on sediment quality Basin, emphasizing urgent need continuous monitoring targeted mitigation measures.

Язык: Английский

Процитировано

0