Comparative assessment of empirical and hybrid machine learning models for estimating daily reference evapotranspiration in sub-humid and semi-arid climates.

Improving the accuracy of reference evapotranspiration (RET) estimation is essential for effective water resource management, irrigation planning, and climate change assessments in agricultural systems. The FAO-56 Penman-Monteith (PM-FAO56) model, a widely endorsed approach for RET estimation, often encounters limitations due to the lack of complete meteorological data. This study evaluates the performance of eight empirical models and four machine learning (ML) models, along with their hybrid counterparts, in estimating daily RET within the Gharb and Loukkos irrigated perimeters in Morocco.

Modified bio-electrocoagulation system to treat the municipal wastewater for irrigation purposes.

A modified biological-integrated electrocoagulation method was explored to treat municipal wastewater (MWW) for irrigation purposes. To use treated wastewater for irrigation purposes a wide range of contaminants removal was focused on in this study (turbidity, hardness, conductivity, TDS, TSS, chloride, Ammonia nitrogen, BOD, COD, and total coliform). Raw municipal wastewater (RMWW) was treated in a modified Bio-Electrocoagulation (BEC) cell.

Morbidity and mortality after fragility hip fracture in a Saudi Arabian population: Report from a single center.

Objective To determine the functional morbidity and mortality after fragility hip fracture and compare the mortality with three other common diseases. Methods Data were collected from patients admitted to King Fahd Hospital of the University, AlKhobar from January 2010 to December 2014. Demographic data included the preoperative American Society of Anesthesiologists (ASA) score as assessed by the anesthetist and the type of surgery.