Jamshid Piri
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View article: Deep learning approach to energy consumption modeling in wastewater pumping systems
Deep learning approach to energy consumption modeling in wastewater pumping systems Open
A novel deep learning approach combining ResNet, self-attention mechanisms, and Grey Wolf Optimizer is developed for wastewater pumping energy optimization. Compared to traditional PID control (baseline: 5–8% savings), our method achieves …
View article: Water-efficient forage production in arid regions: Environmental and economic sustainability assessment using integrated emergy and Monte Carlo analysis
Water-efficient forage production in arid regions: Environmental and economic sustainability assessment using integrated emergy and Monte Carlo analysis Open
This study evaluates four forage crop systems (Kochia, Millet, Sorghum, Barley) in Iran's drought-prone Sistan region using emergy analysis integrated with Monte Carlo uncertainty modeling. A number of new sustainability indices were devel…
View article: Investigation of heavy metals adsorbed on microplastics in drinking water and water resources of Zabol
Investigation of heavy metals adsorbed on microplastics in drinking water and water resources of Zabol Open
This study investigates the presence and adsorption of heavy metals (HMs) on microplastics (MPs) in the drinking water and water resources of Zabol, Iran. Sampling was conducted at five stations in Zabol and two Chah-Nimeh reservoirs (CHWR…
View article: Comparing the Efficiency of Particle Swarm and Harmony Search Algorithms in Optimizing the Muskingum–Cunge Model
Comparing the Efficiency of Particle Swarm and Harmony Search Algorithms in Optimizing the Muskingum–Cunge Model Open
Climate change-induced alterations in monsoon patterns have exacerbated flooding challenges in Balochistan, Iran. This study addresses the urgent need for improved flood prediction methodologies in data-scarce arid regions by integrating t…
View article: Machine learning-aided enhancement of white tea extraction efficiency using hybridized GMDH models in microwave-assisted extraction
Machine learning-aided enhancement of white tea extraction efficiency using hybridized GMDH models in microwave-assisted extraction Open
White tea is valuable for having a high antioxidant content, which is considered to possess numerous beneficial effects on health. This study investigated the application of microwave-assisted extraction (MAE) for the extraction of total p…
View article: Comparing the Efficiency of Particle Swarm and Harmony Search Algorithms in Optimizing the Muskingum-Cunge Model
Comparing the Efficiency of Particle Swarm and Harmony Search Algorithms in Optimizing the Muskingum-Cunge Model Open
Floods in various regions cause irreparable damage to infrastructure, agricultural lands, and industrial centers. In recent years, due to the effects of climate change and, in particular, the increased activity of the monsoon system in the…
View article: Prediction of Sediment Yields Using a Data-Driven Radial M5 Tree Model
Prediction of Sediment Yields Using a Data-Driven Radial M5 Tree Model Open
Reliable estimations of sediment yields are very important for investigations of river morphology and water resources management. Nowadays, soft computing methods are very helpful and famous regarding the accurate estimation of sediment lo…
View article: Intelligent ground vibration prediction in surface mines using an efficient soft computing method based on field data
Intelligent ground vibration prediction in surface mines using an efficient soft computing method based on field data Open
Ground vibration induced by blasting operations is considered one of the most common environmental effects of mining projects. A strong ground vibration can destroy buildings and structures, hence its prediction and minimization are of hig…
View article: Estimation of river high flow discharges using friction-slope method and hybrid models
Estimation of river high flow discharges using friction-slope method and hybrid models Open
Severe flood is considered as one of the most important hydro-geomorphic hazards in catchment and urban scales. The correct estimation of flood flow in rivers is an important issue and plays a significant role in the optimal use of water r…
View article: Comparison and Application of Artificial Neural Network, Support Vector Machine and Decision Trees in Predicting the Hydraulic Conductivity of Soil Saturation (Case Study: Hirmand City)
Comparison and Application of Artificial Neural Network, Support Vector Machine and Decision Trees in Predicting the Hydraulic Conductivity of Soil Saturation (Case Study: Hirmand City) Open
Comparison and Application of Artificial Neural Network, Support Vector Machine and Decision Trees in Predicting the Hydraulic Conductivity of Soil Saturation (Case Study: Hirmand City)
View article: Predicting Daily Streamflow in a Cold Climate Using a Novel Data Mining Technique: Radial M5 Model Tree
Predicting Daily Streamflow in a Cold Climate Using a Novel Data Mining Technique: Radial M5 Model Tree Open
In this study, the viability of radial M5 model tree (RM5Tree) is investigated in prediction and estimation of daily streamflow in a cold climate. The RM5Tree model is compared with the M5 model tree (M5Tree), artificial neural networks (A…
View article: Probabilistic Modeling and Estimation of Flow Rate of Sewage Treatment Plant Using Monte Carlo Hybrid Method
Probabilistic Modeling and Estimation of Flow Rate of Sewage Treatment Plant Using Monte Carlo Hybrid Method Open
One of the most important results of hydraulic and hydrological modeling of the urban drainage network is hydrograph estimation. Annual journals on hydraulic and hydrological problems, especially in developing countries, are full of missin…
View article: Comparison of SVM, ANFIS and GEP in modeling monthly potential evapotranspiration in an arid region (Case study: Sistan and Baluchestan Province, Iran)
Comparison of SVM, ANFIS and GEP in modeling monthly potential evapotranspiration in an arid region (Case study: Sistan and Baluchestan Province, Iran) Open
Evapotranspiration is an important component in planning and management of water resources. It depends on climatic factors and the influence of these factors on each other makes evapotranspiration estimation difficult. This study attempts …