Can water composition and weather factors predict fecal indicator bacteria removal in retention ponds in variable weather conditions?
R Valenca, L Garcia, C Espinosa, D Flor… - Science of the Total …, 2022 - Elsevier
Retention ponds provide benefits including flood control, groundwater recharge, and water
quality improvement, but changes in weather conditions could limit the effectiveness in …
quality improvement, but changes in weather conditions could limit the effectiveness in …
Risk assessment of rice damage due to heavy rain in Taiwan
YC Su, BJ Kuo - Agriculture, 2023 - mdpi.com
Rice (Oryza sativa L.) is a crucial staple crop globally but is damaged under extreme
precipitation. Risk assessment for heavy rain (HR) damage events is essential for …
precipitation. Risk assessment for heavy rain (HR) damage events is essential for …
[HTML][HTML] Warning Models for Landslide and Channelized Debris Flow under Climate Change Conditions in Taiwan
HW Chen, CY Chen - Water, 2022 - mdpi.com
Climate change has caused numerous disasters around the world. It has also influenced the
climate of Taiwan, with urban areas exhibiting a temperature increase by 1 C between 1998 …
climate of Taiwan, with urban areas exhibiting a temperature increase by 1 C between 1998 …
[HTML][HTML] Climate Risk Assessment Framework in Real Estate: A Focus on Flooding
SH Wu, CL Chiang, YH Huang, J Huang, JH Tsao… - Sustainability, 2024 - mdpi.com
Climate change exacerbates flood hazards, resulting in risks to real estate values that
should be considered by long-term investors. Flood risk presents two major financial risks …
should be considered by long-term investors. Flood risk presents two major financial risks …
[HTML][HTML] Assessing Alterations of Rainfall Variability Under Climate Change in Zengwen Reservoir Watershed, Southern Taiwan
JT Shiau, CC Li, HW Tseng, ST Chen - Water, 2024 - mdpi.com
This study aims to detect changes in rainfall variability caused by climate change for various
scenarios in the CMIP6 (Coupled Model Intercomparison Project Phase 6) multi-model …
scenarios in the CMIP6 (Coupled Model Intercomparison Project Phase 6) multi-model …
Comparison of Accuracy between Random Forest Method and K-Nearest Neighbors Method for Recognizing Solar Panel Energy Conversion Temperature
H Satria, R Rosnelly… - … Conference on Science …, 2024 - conference.ft.uisu.ac.id
This study analyzes the classification of temperature image pattern recognition on solar
panels to improve the accuracy of energy conversion performance affected by weather …
panels to improve the accuracy of energy conversion performance affected by weather …