Rainfall forecasting is one of the most challenging factors of weather forecasting all over the
planet. Due to climate change, Thailand has experienced extreme weather events, including …

Noise pollution poses a significant environmental challenge in Iranian urban areas,
particularly within Small Urban Green Parks (SUGPs). This study investigates the extent of …

Rainfall–runoff models are valuable tools for flood forecasting, management of water
resources, and drought warning. With the advancement in space technology, a plethora of …

Computer software is an effective tool for simulating urban rainfall–runoff. In hydrological
analyses, the storm water management model (SWMM) is widely used throughout the world …

The foremost part of the leisure tourism enterprise management system is evaluated and
studied to explore the financial risk of leisure tourism enterprise and find the loopholes in …

Machine learning methods are continuously being used for forecasting prices of different
commodities with good accuracy but forecasting of prices of agricultural commodities is a …

This study analyzes the LTE-A network based on actual field measurements. Measurements
were conducted at 80 locations in the Samsun, Turkey, city center, using TEMS Investigation …

Rainfall–runoff models are valuable tools for flood forecasting, management of water
resources, and drought warning. With the advancement in space technology, a plethora of …

Este estudio analiza la disminución significativa del caudal del Río Valles, un recurso
hídrico crucial para la región de la Huasteca Norte en San Luis Potosí, México. La …

Irrigation scheduling is determining the amount of water to be applied and when to achieve
desired crop production and quality, to maximize water conservation, and to limit any …