Article
Agronomy
A. T. B. Machakaire, J. M. Steyn, A. C. Franke
Summary: This study focuses on evapotranspiration and water use efficiency of irrigated potato crops in semi-arid South African climatic conditions, estimating K-C values at different growth stages and assessing the usefulness of the Penman-Monteith equation for irrigation management.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Environmental Sciences
Fatemeh Ghafarian, Ralf Wieland, Claas Nendel
Summary: This study investigates the potential of evaporative cooling using soybean as an example. The results show that the cooling effects caused by evapotranspiration within and above the canopy were, on average, 4.4 K and 2.9 K, respectively. The model performs better above the canopy than below.
Article
Meteorology & Atmospheric Sciences
Stephany Callanaupa Gutierrez, Hans Segura Cajachagua, Miguel Saavedra Huanca, Jose Flores Rojas, Yamina Silva Vidal, Joan Cuxart
Summary: This study provides insights into the mechanisms of evapotranspiration in the high central Peruvian Andes, revealing its modulation by water- and energy-limited states, as well as its correlations with meteorological variables and soil moisture. The variation of evapotranspiration with different seasons and meteorological conditions highlights the need for considering soil moisture in estimating evapotranspiration in this region.
ATMOSPHERIC RESEARCH
(2021)
Article
Agronomy
Douglas Nyolei, Jan Diels, Boniface Mbilinyi, Winfred Mbungu, Ann van Griensven
Summary: This study aimed to improve ET estimation by enhancing canopy and surface resistance estimation in the Penman-Monteith (PM) method. Results showed that accurately representing soil moisture at different crop development stages enhanced the ability of PM models to estimate ET correctly, especially under water-limiting conditions. The implementation of segmented surface resistance calibration further improved the models' performance, with PM-SW and PM-CO models performing superiorly, highlighting the importance of separating canopy and soil resistance terms during surface resistance calibration.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Environmental Sciences
D. C. D. Melo, J. A. A. Anache, V. P. Borges, D. G. Miralles, B. Martens, J. B. Fisher, R. L. B. Nobrega, A. Moreno, O. M. R. Cabral, T. R. Rodrigues, B. Bezerra, C. M. S. Silva, A. A. Meira Neto, M. S. B. Moura, T. Marques, S. Campos, J. S. Nogueira, R. Rosolem, R. M. S. Souza, A. C. D. Antonino, D. Holl, M. Galleguillos, J. F. Perez-Quezada, A. Verhoef, L. Kutzbach, J. R. S. Lima, E. S. Souza, M. Gassman, C. F. Perez, N. Tonti, G. Posse, D. Rains, P. T. S. Oliveira, E. Wendland
Summary: Multiple remote sensing-based evapotranspiration models were evaluated across various biomes, climate zones, and land uses in South America. All four models satisfactorily predicted evapotranspiration, with GLEAM and PT-JPL showing consistently higher correlations, and PM-MOD and PM-VI presenting better responses in terms of percent bias. Model skill seemed to be related to biome and climate, with wet to moderately wet environments yielding the best results. Further adaptation of individual algorithms may be necessary to account for the intrinsic characteristics of climates and ecosystems in South America.
WATER RESOURCES RESEARCH
(2021)
Article
Environmental Sciences
Fernando Onate-Valdivieso, Arianna Onate-Paladines, Deiber Nunez
Summary: This study analyzed the capabilities of four satellite sensors with different spatial and temporal resolutions (LANDSAT 8, ASTER, MODIS and SENTINEL 3) in calculating the reference crop evapotranspiration (ETo) using images and products obtained. The FAO Penman-Monteith equation was used in both traditional and remote sensing approaches to estimate ETo values. The accuracy of the satellite products was evaluated through cross-validation, comparing them with values obtained from meteorological stations. The study found that spatial resolution had a direct correlation with the accuracy of ETo estimates, with LANDSAT 8 products being the most accurate. However, SENTINEL 3 was preferred for continuous ETo monitoring.
Article
Engineering, Civil
Han Chen, Jinhui Jeanne Huang, Sonam Sandeep Dash, Yizhao Wei, Han Li
Summary: This study proposes an improved Penman-Monteith formula and integrates it into a deep learning model to create a hybrid DL model for ET simulation. The results show that the hybrid DL model improves the predictive capability of ET compared to the original DL model and performs well in predicting extreme events. Sensitivity analysis reveals that vegetation parameters have the highest influence on ET simulations. This research achieves the seamless integration of machine learning and physical mechanism-based ET models, providing a new dimension for ET simulation.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Tagele Mossie Aschale, Nunziarita Palazzolo, David J. Peres, Guido Sciuto, Antonino Cancelliere
Summary: Climate change and rising temperatures can lead to an increase in evapotranspiration, making the assessment of potential evapotranspiration (PET) trends crucial for identifying climate change signals and improving water resource management and irrigation efficiency. This study examines PET trends in Sicily, Italy using data from 46 meteorological stations over a 21-year period. The findings show that while there are significant monthly PET trends in many locations, only a few locations exhibit significant annual trends. The study's results contribute to climate change adaptation strategies in the region.
Article
Geochemistry & Geophysics
Hao Duan, Xin He, Hongli Zhao, Xiaohui Jin, Haowei Xu, Rong Wang
Summary: This study investigates the influences of seasonal change and diverse land surface conditions on evapotranspiration by optimizing sensitive parameters. The results show that model parameters vary significantly in different seasons and spatially, and seasonal calibration method improves accuracy effectively. This emphasizes the need for dynamically adjusting model parameters.
Article
Agronomy
Evandro H. Figueiredo Moura da Silva, Gerrit Hoogenboom, Kenneth J. Boote, Alexandre Ortega Gonsalves, Fabio R. Marin
Summary: This study evaluated the CSM-CROPGRO-Soybean model for simulating evapotranspiration and crop water productivity in a tropical environment. The model provided good predictions, but with a systematic underprediction.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Environmental Sciences
R. D. Moore, J. A. Leach
Summary: Stream temperature studies often use the Penman combination equation or empirical wind functions to calculate latent heat flux, which can impact daily maximum water temperature. The method for computing sensible heat flux from latent heat flux faces challenges, as the Penman combination equation is not suitable for subdaily stream evaporation and empirical wind functions have uncertainty due to the wide range of coefficient values and lack of meteorological data.
WATER RESOURCES RESEARCH
(2021)
Article
Water Resources
Elahe Zoratipour, Amir Soltani Mohammadi, Amin Zoratipour
Summary: This study aimed to accurately estimate daily wheat evapotranspiration in central Khuzestan province during 2019-2020 using two remote sensing algorithms: Surface Energy Balance System (SEBS) and Surface Energy Balance Algorithm for Land (SEBAL). The results were compared with various direct and indirect methods, and the SEBS and SEBAL algorithms showed the highest compatibility with lysimeter data. The study recommends the use of energy balance algorithms in Khuzestan province due to their high accuracy.
APPLIED WATER SCIENCE
(2023)
Article
Agricultural Engineering
Mardiana Idayu Ahmad, Wardah Senusi, Fozy Binhweel, Sami Alsaadi
Summary: The current reliance on fossil fuels for energy consumption has led to various issues related to energy resources, economic stability, and environmental pollution. Biodiesel is a potential sustainable alternative, but its commercialization is hindered by high production costs. Azolla macroalgae, particularly Azolla filiculoides, is a promising feedstock for biodiesel production due to its high fatty acid content.
INDUSTRIAL CROPS AND PRODUCTS
(2023)
Article
Environmental Sciences
Lei Zhang, Xin Zhao, Jiankun Ge, Jiaqi Zhang, Seydou Traore, Guy Fipps, Yufeng Luo
Summary: Accurate short-term forecasts of daily reference evapotranspiration are crucial for irrigation scheduling. This study compared five temperature-dependent models for forecasting ET0 in the North China Plain and found that the calibrated RPM model performed the best. Sensitivity analysis revealed that changes in maximum temperature had the greatest impact on the accuracy of ET0 forecasting.
Article
Environmental Sciences
Qingyun Li, Wenjie Liu, Lu Zheng, Shengyuan Liu, Ang Zhang, Peng Wang, Yan Jin, Qian Liu, Bo Song
Summary: A multi-technology study was conducted on a tropical seasonal forest in Nonggang Karst of Guangxi to estimate the evapotranspiration. Three different methods were used and the results varied. By comparing with reference evapotranspiration and potential evapotranspiration, the Penman-Monteith method was found to be relatively reasonable.
Article
Agronomy
D. J. Hunsaker, A. N. French, P. M. Waller, E. Bautista, K. R. Thorp, K. F. Bronson, P. Andrade-Sanchez
AGRICULTURAL WATER MANAGEMENT
(2015)
Article
Biotechnology & Applied Microbiology
Ben Xu, Peiwen Li, Peter Waller, Michael Huesemann
ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS
(2015)
Article
Green & Sustainable Science & Technology
Ben Xu, Peiwen Li, Peter Waller
Article
Environmental Sciences
Hadiqa Maqsood, Douglas J. J. Hunsaker, Peter Waller, Kelly R. R. Thorp, Andrew French, Diaa Eldin Elshikha, Reid Loeffler
Summary: The WINDS model was developed to support irrigated-crop management in the U.S. Southwest by simulating soil water balance and evapotranspiration dynamics. The model demonstrated its accuracy through calibration and comparison with field measurements. It also successfully reproduced measured crop evapotranspiration during the growing season. This paper introduces the online WINDS model.
Article
Agricultural Engineering
S. Attalah, P. M. Waller, G. Khawam, R. D. Ryan, M. H. Huesemann
APPLIED ENGINEERING IN AGRICULTURE
(2015)
Article
Agricultural Engineering
G. Khawam, P. Waller, S. Attallah, R. Ryan
TRANSACTIONS OF THE ASABE
(2014)
Proceedings Paper
Remote Sensing
Douglas Hunsaker, Andrew French, Peter Waller, Eduardo Bautista, Patrick Royer, Kelly Thorp, Pedro Andrade-Sanchez, John Heun
REMOTE SENSING AND HYDROLOGY
(2012)
Article
Agronomy
D. M. El-Shikha, P. Waller, D. Hunsaker, T. Clarke, E. Barnes
AGRICULTURAL WATER MANAGEMENT
(2007)
Article
Agricultural Engineering
S Wedwick, B Lakhani, J Stone, P Waller, J Artiola
TRANSACTIONS OF THE ASAE
(2001)
Article
Agricultural Engineering
J. A. Haberland, P. D. Colaizzi, M. A. Kostrzewski, P. M. Waller, C. Y. Choi, E. E. Eaton, E. M. Barnes, T. R. Clarke
APPLIED ENGINEERING IN AGRICULTURE
(2010)
Article
Agricultural Engineering
D. M. El-Shikha, E. M. Barnes, T. R. Clarke, D. J. Hunsaker, J. A. Haberland, P. J. Pinter, P. M. Waller, T. L. Thompson
TRANSACTIONS OF THE ASABE
(2008)
Article
Agricultural Engineering
M Kostrzewski, P Waller, P Guertin, J Haberland, P Colaizzi, E Barnes, T Thompson, T Clarke, E Riley, C Choi
TRANSACTIONS OF THE ASAE
(2003)
Article
Agricultural Engineering
PD Colaizzi, EM Barnes, TR Clarke, CY Choi, PM Waller
JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING
(2003)
Article
Agricultural Engineering
PD Colaizzi, EM Barnes, TR Clarke, CY Choi, PM Waller, J Haberland, M Kostrzewski
JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING
(2003)
Article
Agricultural Engineering
G. Grasa, I. Martinez, R. Murillo
Summary: Gasification kinetics of six chars from residual origin were studied under relatively low temperature, low CO2, and high H2O partial pressures. The Random Pore Model (RPM) showed the best fit to experimental results, but the selection of the reaction model depended on the ash composition, specifically the presence of alkali and alkaline earth metals. Chars with ash content higher than 30% wt. were modeled with the RPM model, while chars with the highest K/Si ratio required modified versions of the RPM to accurately predict reaction rates. Textural properties played a key role in determining reaction parameters, such as the pre-exponential factor and activation energy, for chars with similar ash content and composition.
BIOMASS & BIOENERGY
(2024)
Review
Agricultural Engineering
V. Godvin Sharmila, Surya Prakash Shanmugavel, J. Rajesh Banu
Summary: Proper treatment and disposal of biomass waste is crucial to prevent environmental deposition and its negative impacts. Biofuel has emerged as a potential alternative to fossil fuels, reducing carbon emissions and meeting global energy demands. This review examines different biomass waste conversion techniques and explores the production of biofuels with zero carbon emissions. Research on anaerobic treatment, metabolic engineering, and artificial intelligence has been conducted to enhance biofuel production efficiency.
BIOMASS & BIOENERGY
(2024)
Review
Agricultural Engineering
Selvakumar Periyasamy, Adane Asefa Adego, P. Senthil Kumar, G. G. Desta, T. Zelalem, V. Karthik, J. Beula Isabel, Mani Jayakumar, Venkatesa Prabhu Sundramurthy, Gayathri Rangasamy
Summary: Valorizing agricultural waste into valuable products is crucial for environmental protection and bioeconomy advancement. Preprocessing of agricultural waste is a critical step to convert free carbohydrate molecules for final conversion, and factors such as biomass nature, feed loading, pH, temperature, and time influence the process. This review provides comprehensive information on agricultural waste availability, preprocessing techniques, and factors influencing performance.
BIOMASS & BIOENERGY
(2024)
Article
Agricultural Engineering
Aqueel Ahmad, Ashok Kumar Yadav, Achhaibar Singh, Dinesh Kumar Singh
Summary: The study focuses on predicting and optimizing the yield of biogas production in an anaerobic digester using co-digestion. Experimental data was used to develop a machine learning-based prognostic model, and the Response Surface Methodology (RSM) was employed to optimize the parameters. The results demonstrate that RSM coupled with machine learning is an effective technique for modeling, predicting, and optimizing biogas production yield.
BIOMASS & BIOENERGY
(2024)
Article
Agricultural Engineering
Yijing Zhong, Wenxiang Zhai, Xinli Wei
Summary: This paper studies the thermal stability and decomposition of cork materials with and without silica aerogel filler. The results show that the decomposition is inhibited and the pyrolysis is significantly reduced with the addition of silica aerogel. This finding suggests that silica aerogel-infused cork may be a promising raw material for biofuel production with reduced environmental pollution.
BIOMASS & BIOENERGY
(2024)
