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2. Revisiting the wet and dry ends of soil integral water capacity using soil and plant properties

Author

Meskini-Vishkaee, Fatemeh, Mohammadi, Mohammad Hossein, and Neyshabouri, Mohammad Reza

Subjects
Porosity -- Physiological aspects, Water -- Physiological aspects, Soil aeration -- Physiological aspects, Agricultural industry, Earth sciences, Soil Science Society of America
Abstract

The integral water capacity (IWC) approach takes into account various soil physical limitations for calculating plant available water. However, the IWC approach cannot distinguish the differences in water uptake between various plants. Therefore, the objectives of this study were i) to modify the approach to include plant physiological properties to redefine the wet and dry ends of the IWC, called [IWC.sub.plant] and ii) to evaluate the performance of the [IWC.sub.plant] approach using experimental data. The restrictions imposed by poor soil aeration and rapid drainage flux were calculated using both soil and plant properties to modify the wet end of the IWC. The soil hydraulic resistance was considered to redefine the dry end of the [IWC.sub.plant]. Based on these approaches, physically meaningful weighting functions were developed for three proposed limiting factors at both ends of the wet and dry ranges of soil. Experimental data were obtained from a greenhouse trial with wheat and canola plants in two soil textures (sandy loam and clay loam) for 2 years. The [IWC.sup.plant] obtained values of 0.202 and 0.205 [m.sup.3] [m.sup.-3] for wheat and 0.189 and 0.194 [m.sup.3] [m.sup.-3] for canola in sandy loam and clay loam soils, respectively. These differences in the [IWC.sub.plant] between wheat and canola in the same soils demonstrate the importance of plant properties to estimate actual plant available water using IWC. These differences would be even more appreciable for root systems with a wider range of different properties. Additional keywords: Critical aeration porosity, flux-based field capacity, soil available water, soil respiration rate, soil hydraulic resistance., Introduction The 'soil-water availability' concept illustrates the ease by which a plant uptakes and utilises soil moisture, and is an important foundation for irrigation practices (Shi et al. 2011). Various [...]

Published
2018
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5. On Infiltration and Infiltration Characteristic Times

Author

Rahmati, Mehdi, Latorre, Borja, Moret‐Fernández, David, Lassabatere, Laurent, Talebian, Nima, Miller, Dane, Morbidelli, Renato, Iovino, Massimo, Bagarello, Vincenzo, Neyshabouri, Mohammad Reza, Zhao, Ying, Vanderborght, Jan, Weihermüller, Lutz, Jaramillo, Rafael Angulo, Or, Dani, Genuchten, Martinus van, Vereecken, Harry, Hydrogeology, Environmental hydrogeology, Hydrogeology, Environmental hydrogeology, Latorre Garcés, Borja, Moret-Fernández, David, Department of Soil Science and Engineering, Faculty of Agriculture, University of Maragheh, Institute of Bio- and Geosciences [Jülich] (IBG), Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association-Helmholtz-Gemeinschaft = Helmholtz Association, Consejo Superior de Investigaciones Científicas [Spain] (CSIC), Departamento de Suelo y Agua, Pomology Department, Estación Experimental de Aula Dei, Équipe 5 - Impact des Aménagements et des Polluants sur les HYdrosystèmes (IAPHY), Laboratoire d'Ecologie des Hydrosystèmes Naturels et Anthropisés (LEHNA), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Centre National de la Recherche Scientifique (CNRS), Bond University [Gold Coast], Department of Civil and Environmental Engineering of the University of Perugia, Italy, Università degli Studi di Perugia = University of Perugia (UNIPG), Università degli studi di Palermo - University of Palermo, University of Tabriz [Tabriz], College of Resources and Environmental Engineering [Yantai], Ludong University, Desert Research Institute (DRI), Department of Environmental Systems Science [ETH Zürich] (D-USYS), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Department of Earth Sciences, Utrecht University, Center for Environmental Studies, CEA, São Paulo State University, Latorre Garcés, Borja [0000-0002-6720-3326], Moret-Fernández, David [0000-0002-6674-0453], Rahmati M., Latorre B., Moret-Fernandez D., Lassabatere L., Talebian N., Miller D., Morbidelli R., Iovino M., Bagarello V., Neyshabouri M.R., Zhao Y., Vanderborght J., Weihermuller L., Jaramillo R.A., Or D., Th. van Genuchten M., and Vereecken H.

Subjects
Science & Technology, EROSION, sorptivity, HYDRAULIC CONDUCTIVITY, INFILTROMETER, Infiltration, Environmental Sciences & Ecology, PARAMETERS, SOIL, MODEL, Physical Sciences, Limnology, [SDE]Environmental Sciences, ddc:550, Water Resources, EQUATION, Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali, WATER, steady state, time domain validity, Marine & Freshwater Biology, Life Sciences & Biomedicine, hydraulic conductivity, Environmental Sciences, Water Science and Technology
Abstract

In his seminal paper on the solution of the infiltration equation, Philip (1969), https://doi.org/10.1016/b978-1-4831-9936-8.50010-6 proposed a gravity time, tgrav, to estimate practical convergence time and the time domain validity of his infinite time series expansion, TSE, for describing the transient state. The parameter tgrav refers to a point in time where infiltration is dominated equally by capillarity and gravity as derived from the first two (dominant) terms of the TSE. Evidence suggests that applicability of the truncated two-term equation of Philip has a time limit requiring higher-order TSE terms to better describe the infiltration process for times exceeding that limit. Since the conceptual definition of tgrav is valid regardless of the infiltration model used, we opted to reformulate tgrav using the analytic implicit model proposed by Parlange et al. (1982), https://doi.org/10.1097/00010694-198206000-00001 valid for all times and related TSE. Our derived gravity times ensure a given accuracy of the approximations describing transient states, while also providing insight about the times needed to reach steady state. In addition to the roles of soil sorptivity (S) and the saturated (Ks) and initial (Ki) hydraulic conductivities, we explored the effects of a soil specific shape parameter β, involved in Parlange's model and related to the type of soil, on the behavior of tgrav. We show that the reformulated tgrav (notably (Formula presented.) where F(β) is a β-dependent function) is about three times larger than the classical tgrav given by (Formula presented.). The differences between the classical tgrav,Philip and the reformulated tgrav increase for fine-textured soils, attributed to the time needed to attain steady-state infiltration and thus i + nfiltration for inferring soil hydraulic properties. Results show that the proposed tgrav is a better indicator of time domain validity than tgrav,Philip. For the attainment of steady-state infiltration, the reformulated tgrav is suitable for coarse-textured soils. Still neither the reformulated tgrav nor the classical tgrav,Philip are suitable for fine-textured soils for which tgrav is too conservative and tgrav,Philip too short. Using tgrav will improve predictions of the soil hydraulic parameters (particularly Ks) from infiltration data compared to tgrav,Philip., Water Resources Research, 58 (5), ISSN:0043-1397, ISSN:1944-7973

Published
2022

7. On Infiltration and Infiltration Characteristic Times

Author

Hydrogeology, Environmental hydrogeology, Rahmati, Mehdi, Latorre, Borja, Moret‐Fernández, David, Lassabatere, Laurent, Talebian, Nima, Miller, Dane, Morbidelli, Renato, Iovino, Massimo, Bagarello, Vincenzo, Neyshabouri, Mohammad Reza, Zhao, Ying, Vanderborght, Jan, Weihermüller, Lutz, Jaramillo, Rafael Angulo, Or, Dani, Genuchten, Martinus van, Vereecken, Harry, Hydrogeology, Environmental hydrogeology, Rahmati, Mehdi, Latorre, Borja, Moret‐Fernández, David, Lassabatere, Laurent, Talebian, Nima, Miller, Dane, Morbidelli, Renato, Iovino, Massimo, Bagarello, Vincenzo, Neyshabouri, Mohammad Reza, Zhao, Ying, Vanderborght, Jan, Weihermüller, Lutz, Jaramillo, Rafael Angulo, Or, Dani, Genuchten, Martinus van, and Vereecken, Harry

Published
2022

10. On infiltration and infiltration characteristic times

Author

Rahmati, Mehdi, primary, Latorre Garcés, Borja, additional, Moret-Fernandez, David, additional, Lassabatère, Laurent, additional, Talebian, Nima, additional, Miller, Dane Gerard, additional, Morbidelli, Renato, additional, Iovino, Massimo, additional, Bagarello, Vincenzo, additional, Neyshabouri, Mohammad Reza, additional, Zhao, Ying, additional, Vanderborght, Jan, additional, Weihermüller, Lutz, additional, Angulo-Jaramillo, Rafael, additional, Or, Dani, additional, van Genuchten, Rien, additional, and Vereecken, Harry, additional

Published
2021
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11. Simplified estimation of unsaturated soil hydraulic conductivity using bulk electrical conductivity and particle size distribution

Author

Neyshabouri, Mohammad Reza, Rahmati, Mehdi, Dousan, Claude, and Behroozinezhad, Boshra

Subjects
Soil chemistry -- Research, Soil permeability -- Testing, Agricultural industry, Earth sciences
Abstract

Unsaturated soil hydraulic conductivity K is a fundamental transfer property of soil but its measurement is costly, difficult, and time-consuming due to its large variations with water content (θ) or matric potential (h). Recently, C. Doussan and S. Ruy proposed a method/model using measurements of the electrical conductivity of soil core samples to predict K(h). This method requires the measurement or the setting of a range of matric potentials h in the core samples--a possible lengthy process requiring specialised devices. To avoid h estimation, we propose to simplify that method by introducing the particle-size distribution (PSD) of the soil as a proxy for soil pore diameters and matric potentials, with the Arya and Paris (AP) model. Tests of this simplified model (SM) with laboratory data on a broad range of soils and using the AP model with available, previously defined parameters showed that the accuracy was lower for the SM than for the original model (DR) in predicting K (RMSE of logK = 1.10 for SM v. 0.30 for DR; K in m [s.sup.-1]). However, accuracy was increased for SM when considering coarse- and medium-textured soils only (RMSE of logK= 0.61 for SM v. 0.26 for DR). Further tests with 51 soils from the UNSODA database and our own measurements, with estimated electrical properties, confirmed good agreement of the SM for coarse-medium-textured soils ( Additional keywords: electrical conductivity, hydraulic conductivity, particle size distribution, scaling parameter., Introduction Unsaturated soil hydraulic conductivity, K(θ) or K(h), which is a highly non-linear function of water content (θ) or matric potential (h), is a fundamental property for estimating transfer/transport processes [...]

Published
2013
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16. Development and analysis of the Soil Water Infiltration Global database

Author

Rahmati, Mehdi, Weihermüller, Lutz, Vanderborght, Jan, Pachepsky, Yakov A., Mao, Lili, Sadeghi, Seyed Hamidreza, Moosavi, Niloofar, Kheirfam, Hossein, Montzka, Carsten, Van Looy, Kris, Toth, Brigitta, Hazbavi, Zeinab, Al Yamani, Wafa, Albalasmeh, Ammar A., Alghzawi, Ma'in Z., Angulo-Jaramillo, Rafael, Antonino, Antônio Celso Dantas, Arampatzis, George, Armindo, Robson André, Asadi, Hossein, Bamutaze, Yazidhi, Batlle-Aguilar, Jordi, Béchet, Béatrice, Becker, Fabian, Blöschl, Günter, Bohne, Klaus, Braud, Isabelle, Castellano, Clara, Cerdà, Artemi, Chalhoub, Maha, Cichota, Rogerio, Císlerová, Milena, Clothier, Brent, Coquet, Yves, Cornelis, Wim, Corradini, Corrado, Coutinho, Artur Paiva, de Oliveira, Muriel Bastista, de Macedo, José Ronaldo, Durães, Matheus Fonseca, Emami, Hojat, Eskandari, Iraj, Farajnia, Asghar, Flammini, Alessia, Fodor, Nándor, Gharaibeh, Mamoun, Ghavimipanah, Mohamad Hossein, Ghezzehei, Teamrat A., Giertz, Simone, Hatzigiannakis, Evangelos G., Horn, Rainer, Jiménez, Juan José, Jacques, Diederik, Keesstra, Saskia Deborah, Kelishadi, Hamid, Kiani-Harchegani, Mahboobeh, Kouselou, Mehdi, Kumar Jha, Madan, Lassabatere, Laurent, Li, Xiaoyan, Liebig, Mark A., Lichner, Lubomír, López, María Victoria, Machiwal, Deepesh, Mallants, Dirk, Mallmann, Micael Stolben, de Oliveira Marques, Jean Dalmo, Marshall, Miles R., Mertens, Jan, Meunier, Félicien, Mohammadi, Mohammad Hossein, Mohanty, Binayak P., Pulido-Moncada, Mansonia, Montenegro, Suzana, Morbidelli, Renato, Moret-Fernández, David, Moosavi, Ali Akbar, Mosaddeghi, Mohammad Reza, Mousavi, Seyed Bahman, Mozaffari, Hasan, Nabiollahi, Kamal, Neyshabouri, Mohammad Reza, Ottoni, Marta Vasconcelos, Ottoni Filho, Theophilo Benedicto, Pahlavan-Rad, Mohammad Reza, Panagopoulos, Andreas, Peth, Stephan, Peyneau, Pierre-Emmanuel, Picciafuoco, Tommaso, Poesen, Jean, Pulido, Manuel, Reinert, Dalvan José, Reinsch, Sabine, Rezaei, Meisam, Roberts, Francis Parry, Robinson, David, Rodrigo-Comino, Jesús, Rotunno Filho, Otto Corrêa, Saito, Tadaomi, Suganuma, Hideki, Saltalippi, Carla, Sándor, Renáta, Schütt, Brigitta, Seeger, Manuel, Sepehrnia, Nasrollah, Sharifi Moghaddam, Ehsan, Shukla, Manoj, Shutaro, Shiraki, Sorando, Ricardo, Stanley, Ajayi Asishana, Strauss, Peter, Su, Zhongbo, Taghizadeh-Mehrjardi, Ruhollah, Taguas, Encarnación, Teixeira, Wenceslau Geraldes, Vaezi, Ali Reza, Vafakhah, Mehdi, Vogel, Tomas, Vogeler, Iris, Votrubova, Jana, Werner, Steffen, Winarski, Thierry, Yilmaz, Deniz, Young, Michael H., Zacharias, Steffen, Zeng, Yijian, Zhao, Ying, Zhao, Hong, Vereecken, Harry, Rahmati, Mehdi, Weihermüller, Lutz, Vanderborght, Jan, Pachepsky, Yakov A., Mao, Lili, Sadeghi, Seyed Hamidreza, Moosavi, Niloofar, Kheirfam, Hossein, Montzka, Carsten, Van Looy, Kris, Toth, Brigitta, Hazbavi, Zeinab, Al Yamani, Wafa, Albalasmeh, Ammar A., Alghzawi, Ma'in Z., Angulo-Jaramillo, Rafael, Antonino, Antônio Celso Dantas, Arampatzis, George, Armindo, Robson André, Asadi, Hossein, Bamutaze, Yazidhi, Batlle-Aguilar, Jordi, Béchet, Béatrice, Becker, Fabian, Blöschl, Günter, Bohne, Klaus, Braud, Isabelle, Castellano, Clara, Cerdà, Artemi, Chalhoub, Maha, Cichota, Rogerio, Císlerová, Milena, Clothier, Brent, Coquet, Yves, Cornelis, Wim, Corradini, Corrado, Coutinho, Artur Paiva, de Oliveira, Muriel Bastista, de Macedo, José Ronaldo, Durães, Matheus Fonseca, Emami, Hojat, Eskandari, Iraj, Farajnia, Asghar, Flammini, Alessia, Fodor, Nándor, Gharaibeh, Mamoun, Ghavimipanah, Mohamad Hossein, Ghezzehei, Teamrat A., Giertz, Simone, Hatzigiannakis, Evangelos G., Horn, Rainer, Jiménez, Juan José, Jacques, Diederik, Keesstra, Saskia Deborah, Kelishadi, Hamid, Kiani-Harchegani, Mahboobeh, Kouselou, Mehdi, Kumar Jha, Madan, Lassabatere, Laurent, Li, Xiaoyan, Liebig, Mark A., Lichner, Lubomír, López, María Victoria, Machiwal, Deepesh, Mallants, Dirk, Mallmann, Micael Stolben, de Oliveira Marques, Jean Dalmo, Marshall, Miles R., Mertens, Jan, Meunier, Félicien, Mohammadi, Mohammad Hossein, Mohanty, Binayak P., Pulido-Moncada, Mansonia, Montenegro, Suzana, Morbidelli, Renato, Moret-Fernández, David, Moosavi, Ali Akbar, Mosaddeghi, Mohammad Reza, Mousavi, Seyed Bahman, Mozaffari, Hasan, Nabiollahi, Kamal, Neyshabouri, Mohammad Reza, Ottoni, Marta Vasconcelos, Ottoni Filho, Theophilo Benedicto, Pahlavan-Rad, Mohammad Reza, Panagopoulos, Andreas, Peth, Stephan, Peyneau, Pierre-Emmanuel, Picciafuoco, Tommaso, Poesen, Jean, Pulido, Manuel, Reinert, Dalvan José, Reinsch, Sabine, Rezaei, Meisam, Roberts, Francis Parry, Robinson, David, Rodrigo-Comino, Jesús, Rotunno Filho, Otto Corrêa, Saito, Tadaomi, Suganuma, Hideki, Saltalippi, Carla, Sándor, Renáta, Schütt, Brigitta, Seeger, Manuel, Sepehrnia, Nasrollah, Sharifi Moghaddam, Ehsan, Shukla, Manoj, Shutaro, Shiraki, Sorando, Ricardo, Stanley, Ajayi Asishana, Strauss, Peter, Su, Zhongbo, Taghizadeh-Mehrjardi, Ruhollah, Taguas, Encarnación, Teixeira, Wenceslau Geraldes, Vaezi, Ali Reza, Vafakhah, Mehdi, Vogel, Tomas, Vogeler, Iris, Votrubova, Jana, Werner, Steffen, Winarski, Thierry, Yilmaz, Deniz, Young, Michael H., Zacharias, Steffen, Zeng, Yijian, Zhao, Ying, Zhao, Hong, and Vereecken, Harry

Abstract

In this paper, we present and analyze a novel global database of soil infiltration measurements, the Soil Water Infiltration Global (SWIG) database. In total, 5023 infiltration curves were collected across all continents in the SWIG database. These data were either provided and quality checked by the scientists who performed the experiments or they were digitized from published articles. Data from 54 different countries were included in the database with major contributions from Iran, China, and the USA. In addition to its extensive geographical coverage, the collected infiltration curves cover research from 1976 to late 2017. Basic information on measurement location and method, soil properties, and land use was gathered along with the infiltration data, making the database valuable for the development of pedotransfer functions (PTFs) for estimating soil hydraulic properties, for the evaluation of infiltration measurement methods, and for developing and validating infiltration models. Soil textural information (clay, silt, and sand content) is available for 3842 out of 5023 infiltration measurements ( ∼ 76%) covering nearly all soil USDA textural classes except for the sandy clay and silt classes. Information on land use is available for 76% of the experimental sites with agricultural land use as the dominant type ( ∼ 40%). We are convinced that the SWIG database will allow for a better parameterization of the infiltration process in land surface models and for testing infiltration models. All collected data and related soil characteristics are provided online in *.xlsx and *.csv formats for reference, and we add a disclaimer that the database is for public domain use only and can be copied freely by referencing it. Supplementary data are available at https://doi.org/10.1594/PANGAEA.885492 (Rahmati et al., 2018). Data quality assessment is strongly advised prior to any use of this database. Finally, we would like to encourage scientists to extend and update the SWI

Published
2018

17. Development and analysis of the Soil Water Infiltration Global database

Author

Rahmati, Mehdi, primary, Weihermüller, Lutz, additional, Vanderborght, Jan, additional, Pachepsky, Yakov A., additional, Mao, Lili, additional, Sadeghi, Seyed Hamidreza, additional, Moosavi, Niloofar, additional, Kheirfam, Hossein, additional, Montzka, Carsten, additional, Van Looy, Kris, additional, Toth, Brigitta, additional, Hazbavi, Zeinab, additional, Al Yamani, Wafa, additional, Albalasmeh, Ammar A., additional, Alghzawi, Ma'in Z., additional, Angulo-Jaramillo, Rafael, additional, Antonino, Antônio Celso Dantas, additional, Arampatzis, George, additional, Armindo, Robson André, additional, Asadi, Hossein, additional, Bamutaze, Yazidhi, additional, Batlle-Aguilar, Jordi, additional, Béchet, Béatrice, additional, Becker, Fabian, additional, Blöschl, Günter, additional, Bohne, Klaus, additional, Braud, Isabelle, additional, Castellano, Clara, additional, Cerdà, Artemi, additional, Chalhoub, Maha, additional, Cichota, Rogerio, additional, Císlerová, Milena, additional, Clothier, Brent, additional, Coquet, Yves, additional, Cornelis, Wim, additional, Corradini, Corrado, additional, Coutinho, Artur Paiva, additional, de Oliveira, Muriel Bastista, additional, de Macedo, José Ronaldo, additional, Durães, Matheus Fonseca, additional, Emami, Hojat, additional, Eskandari, Iraj, additional, Farajnia, Asghar, additional, Flammini, Alessia, additional, Fodor, Nándor, additional, Gharaibeh, Mamoun, additional, Ghavimipanah, Mohamad Hossein, additional, Ghezzehei, Teamrat A., additional, Giertz, Simone, additional, Hatzigiannakis, Evangelos G., additional, Horn, Rainer, additional, Jiménez, Juan José, additional, Jacques, Diederik, additional, Keesstra, Saskia Deborah, additional, Kelishadi, Hamid, additional, Kiani-Harchegani, Mahboobeh, additional, Kouselou, Mehdi, additional, Kumar Jha, Madan, additional, Lassabatere, Laurent, additional, Li, Xiaoyan, additional, Liebig, Mark A., additional, Lichner, Lubomír, additional, López, María Victoria, additional, Machiwal, Deepesh, additional, Mallants, Dirk, additional, Mallmann, Micael Stolben, additional, de Oliveira Marques, Jean Dalmo, additional, Marshall, Miles R., additional, Mertens, Jan, additional, Meunier, Félicien, additional, Mohammadi, Mohammad Hossein, additional, Mohanty, Binayak P., additional, Pulido-Moncada, Mansonia, additional, Montenegro, Suzana, additional, Morbidelli, Renato, additional, Moret-Fernández, David, additional, Moosavi, Ali Akbar, additional, Mosaddeghi, Mohammad Reza, additional, Mousavi, Seyed Bahman, additional, Mozaffari, Hasan, additional, Nabiollahi, Kamal, additional, Neyshabouri, Mohammad Reza, additional, Ottoni, Marta Vasconcelos, additional, Ottoni Filho, Theophilo Benedicto, additional, Pahlavan-Rad, Mohammad Reza, additional, Panagopoulos, Andreas, additional, Peth, Stephan, additional, Peyneau, Pierre-Emmanuel, additional, Picciafuoco, Tommaso, additional, Poesen, Jean, additional, Pulido, Manuel, additional, Reinert, Dalvan José, additional, Reinsch, Sabine, additional, Rezaei, Meisam, additional, Roberts, Francis Parry, additional, Robinson, David, additional, Rodrigo-Comino, Jesús, additional, Rotunno Filho, Otto Corrêa, additional, Saito, Tadaomi, additional, Suganuma, Hideki, additional, Saltalippi, Carla, additional, Sándor, Renáta, additional, Schütt, Brigitta, additional, Seeger, Manuel, additional, Sepehrnia, Nasrollah, additional, Sharifi Moghaddam, Ehsan, additional, Shukla, Manoj, additional, Shutaro, Shiraki, additional, Sorando, Ricardo, additional, Stanley, Ajayi Asishana, additional, Strauss, Peter, additional, Su, Zhongbo, additional, Taghizadeh-Mehrjardi, Ruhollah, additional, Taguas, Encarnación, additional, Teixeira, Wenceslau Geraldes, additional, Vaezi, Ali Reza, additional, Vafakhah, Mehdi, additional, Vogel, Tomas, additional, Vogeler, Iris, additional, Votrubova, Jana, additional, Werner, Steffen, additional, Winarski, Thierry, additional, Yilmaz, Deniz, additional, Young, Michael H., additional, Zacharias, Steffen, additional, Zeng, Yijian, additional, Zhao, Ying, additional, Zhao, Hong, additional, and Vereecken, Harry, additional

Published
2018
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18. Development and Analysis of Soil Water Infiltration Global Database

Author

Rahmati, Mehdi, primary, Weihermüller, Lutz, additional, Vanderborght, Jan, additional, Pachepsky, Yakov A., additional, Mao, Lili, additional, Sadeghi, Seyed Hamidreza, additional, Moosavi, Niloofar, additional, Kheirfam, Hossein, additional, Montzka, Carsten, additional, Van Looy, Kris, additional, Toth, Brigitta, additional, Hazbavi, Zeinab, additional, Al Yamani, Wafa, additional, Albalasmeh, Ammar A., additional, Alghzawi, Ma'in Z., additional, Angulo-Jaramillo, Rafael, additional, Antonino, Antônio Celso Dantas, additional, Arampatzis, George, additional, Armindo, Robson André, additional, Asadi, Hossein, additional, Bamutaze, Yazidhi, additional, Batlle-Aguilar, Jordi, additional, Bechet, Beatrice, additional, Becker, Fabian, additional, Blöschl, Günter, additional, Bohne, Klaus, additional, Braud, Isabelle, additional, Castellano, Clara, additional, Cerdà, Artemi, additional, Chalhoub, Maha, additional, Cichota, Rogerio, additional, Císlerová, Milena, additional, Clothier, Brent, additional, Coquet, Yves, additional, Cornelis, Wim, additional, Corradini, Corrado, additional, Coutinho, Artur Paiva, additional, de Oliveira, Muriel Bastista, additional, de Macedo, José Ronaldo, additional, Durães, Matheus Fonseca, additional, Emami, Hojat, additional, Eskandari, Iraj, additional, Farajnia, Asghar, additional, Flammini, Alessia, additional, Fodor, Nándor, additional, Gharaibeh, Mamoun, additional, Ghavimipanah, Mohamad Hossein, additional, Ghezzehei, Teamrat A., additional, Giertz, Simone, additional, Hatzigiannakis, Evangelos G, additional, Horn, Rainer, additional, Jiménez, Juan José, additional, Jacques, Diederik, additional, Keesstra, Saskia Deborah, additional, Kelishadi, Hamid, additional, Kiani-Harchegani, Mahboobeh, additional, Kouselou, Mehdi, additional, Kumar Jha, Madan, additional, Lassabatere, Laurent, additional, Li, Xiaoyan, additional, Liebig, Mark A., additional, Lichner, Lubomír, additional, López, María Victoria, additional, Machiwal, Deepesh, additional, Mallants, Dirk, additional, Mallmann, Micael Stolben, additional, de Oliveira Marques, Jean Dalmo, additional, Marshall, Miles R., additional, Mertens, Jan, additional, Meunier, Félicien, additional, Mohammadi, Mohammad Hossein, additional, Mohanty, Binayak P., additional, Moncada, Mansonia Pulido, additional, Montenegro, Suzana, additional, Morbidelli, Renato, additional, Moret-Fernández, David, additional, Moosavi, Ali Akbar, additional, Mosaddeghi, Mohammad Reza, additional, Mousavi, Seyed Bahman, additional, Mozaffari, Hasan, additional, Nabiollahi, Kamal, additional, Neyshabouri, Mohammad Reza, additional, Ottoni, Marta Vasconcelos, additional, Ottoni Filho, Theophilo Benedicto, additional, Pahlavan Rad, Mohammad Reza, additional, Panagopoulos, Andreas, additional, Peth, Stephan, additional, Peyneau, Pierre-Emmanuel, additional, Picciafuoco, Tommaso, additional, Poesen, Jean, additional, Pulido, Manuel, additional, Reinert, Dalvan José, additional, Reinsch, Sabine, additional, Rezaei, Meisam, additional, Roberts, Francis Parry, additional, Robinson, David, additional, Rodrigo-Comino, Jesús, additional, Rotunno Filho, Otto Corrêa, additional, Saito, Tadaomi, additional, Suganuma, Hideki, additional, Saltalippi, Carla, additional, Sándor, Renáta, additional, Schütt, Brigitta, additional, Seeger, Manuel, additional, Sepehrnia, Nasrollah, additional, Sharifi Moghaddam, Ehsan, additional, Shukla, Manoj, additional, Shutaro, Shiraki, additional, Sorando, Ricardo, additional, Stanley, Ajayi Asishana, additional, Strauss, Peter, additional, Su, Zhongbo, additional, Taghizadeh-Mehrjardi, Ruhollah, additional, Taguas, Encarnación, additional, Teixeira, Wenceslau Geraldes, additional, Vaezi, Ali Reza, additional, Vafakhah, Mehdi, additional, Vogel, Tomas, additional, Vogeler, Iris, additional, Votrubova, Jana, additional, Werner, Steffen, additional, Winarski, Thierry, additional, Yilmaz, Deniz, additional, Young, Michael H., additional, Zacharias, Steffen, additional, Zeng, Yijian, additional, Zhao, Ying, additional, Zhao, Hong, additional, and Vereecken, Harry, additional

Published
2018
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19. Supplementary material to "Development and Analysis of Soil Water Infiltration Global Database"

Author

Rahmati, Mehdi, primary, Weihermüller, Lutz, additional, Vanderborght, Jan, additional, Pachepsky, Yakov A., additional, Mao, Lili, additional, Sadeghi, Seyed Hamidreza, additional, Moosavi, Niloofar, additional, Kheirfam, Hossein, additional, Montzka, Carsten, additional, Van Looy, Kris, additional, Toth, Brigitta, additional, Hazbavi, Zeinab, additional, Al Yamani, Wafa, additional, Albalasmeh, Ammar A., additional, Alghzawi, Ma'in Z., additional, Angulo-Jaramillo, Rafael, additional, Antonino, Antônio Celso Dantas, additional, Arampatzis, George, additional, Armindo, Robson André, additional, Asadi, Hossein, additional, Bamutaze, Yazidhi, additional, Batlle-Aguilar, Jordi, additional, Bechet, Beatrice, additional, Becker, Fabian, additional, Blöschl, Günter, additional, Bohne, Klaus, additional, Braud, Isabelle, additional, Castellano, Clara, additional, Cerdà, Artemi, additional, Chalhoub, Maha, additional, Cichota, Rogerio, additional, Císlerová, Milena, additional, Clothier, Brent, additional, Coquet, Yves, additional, Cornelis, Wim, additional, Corradini, Corrado, additional, Coutinho, Artur Paiva, additional, de Oliveira, Muriel Bastista, additional, de Macedo, José Ronaldo, additional, Durães, Matheus Fonseca, additional, Emami, Hojat, additional, Eskandari, Iraj, additional, Farajnia, Asghar, additional, Flammini, Alessia, additional, Fodor, Nándor, additional, Gharaibeh, Mamoun, additional, Ghavimipanah, Mohamad Hossein, additional, Ghezzehei, Teamrat A., additional, Giertz, Simone, additional, Hatzigiannakis, Evangelos G, additional, Horn, Rainer, additional, Jiménez, Juan José, additional, Jacques, Diederik, additional, Keesstra, Saskia Deborah, additional, Kelishadi, Hamid, additional, Kiani-Harchegani, Mahboobeh, additional, Kouselou, Mehdi, additional, Kumar Jha, Madan, additional, Lassabatere, Laurent, additional, Li, Xiaoyan, additional, Liebig, Mark A., additional, Lichner, Lubomír, additional, López, María Victoria, additional, Machiwal, Deepesh, additional, Mallants, Dirk, additional, Mallmann, Micael Stolben, additional, de Oliveira Marques, Jean Dalmo, additional, Marshall, Miles R., additional, Mertens, Jan, additional, Meunier, Félicien, additional, Mohammadi, Mohammad Hossein, additional, Mohanty, Binayak P., additional, Moncada, Mansonia Pulido, additional, Montenegro, Suzana, additional, Morbidelli, Renato, additional, Moret-Fernández, David, additional, Moosavi, Ali Akbar, additional, Mosaddeghi, Mohammad Reza, additional, Mousavi, Seyed Bahman, additional, Mozaffari, Hasan, additional, Nabiollahi, Kamal, additional, Neyshabouri, Mohammad Reza, additional, Ottoni, Marta Vasconcelos, additional, Ottoni Filho, Theophilo Benedicto, additional, Pahlavan Rad, Mohammad Reza, additional, Panagopoulos, Andreas, additional, Peth, Stephan, additional, Peyneau, Pierre-Emmanuel, additional, Picciafuoco, Tommaso, additional, Poesen, Jean, additional, Pulido, Manuel, additional, Reinert, Dalvan José, additional, Reinsch, Sabine, additional, Rezaei, Meisam, additional, Roberts, Francis Parry, additional, Robinson, David, additional, Rodrigo-Comino, Jesús, additional, Rotunno Filho, Otto Corrêa, additional, Saito, Tadaomi, additional, Suganuma, Hideki, additional, Saltalippi, Carla, additional, Sándor, Renáta, additional, Schütt, Brigitta, additional, Seeger, Manuel, additional, Sepehrnia, Nasrollah, additional, Sharifi Moghaddam, Ehsan, additional, Shukla, Manoj, additional, Shutaro, Shiraki, additional, Sorando, Ricardo, additional, Stanley, Ajayi Asishana, additional, Strauss, Peter, additional, Su, Zhongbo, additional, Taghizadeh-Mehrjardi, Ruhollah, additional, Taguas, Encarnación, additional, Teixeira, Wenceslau Geraldes, additional, Vaezi, Ali Reza, additional, Vafakhah, Mehdi, additional, Vogel, Tomas, additional, Vogeler, Iris, additional, Votrubova, Jana, additional, Werner, Steffen, additional, Winarski, Thierry, additional, Yilmaz, Deniz, additional, Young, Michael H., additional, Zacharias, Steffen, additional, Zeng, Yijian, additional, Zhao, Ying, additional, Zhao, Hong, additional, and Vereecken, Harry, additional

Published
2018
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22. Large scale evaluation of single storm and short/long term erosivity index models

Author

KARAMI, Alidad, HOMAEE, Mehdi, NEYSHABOURI, Mohammad Reza, and AFZALINIA, Sadegh

Subjects
Key words: Rainfall erosivity,RUSLE,single storm
Abstract

Rainfall erosivity of the Revised Universal Soil Loss Equation (RUSLE) is influenced by the type, amount, and intensity of storm. In this research, rainfall data from 18 recording rain gauge stations were collected and analyzed. Further, their single storm, daily, monthly, and annual erosion indices were calculated and estimated by different models. Duration of each rainfall was divided into 15 min intervals. Intensity and energy of each interval, maximum rainfall intensity of 30 min, total energy of each rainfall, and erosivity index of every single storm were calculated. Furthermore, Cooley's model for single storm was evaluated and its coefficients were estimated. For daily rainfall erosion index prediction, Richardson's model was assessed and its coefficients were also estimated. A new power model based on monthly rainfall was proposed in order to predict monthly rainfall erosion index. For the estimation of the annual rainfall erosion index, the Arnoldus model was evaluated and its coefficients were estimated. The coefficients for all equations were also determined using multiple regression. According to the calibrated Arnoldus model, an iso-rainfall erosion index map was drawn for the studied area consisting of 150 rain gauge information. The results indicated that models of Cooley, Richardson, Arnoldus, and the newly proposed model for monthly rainfall erosion index provide a reasonable agreement with the rainfall characteristics of the studied area.

Published
2014

23. Comparing Neural Networks, Linear and Nonlinear Regression Techniques to Model Penetration Resistance

Author

BAYAT, Hossein, NEYSHABOURI, Mohammad Reza, and HAJABBASI, Mohammad Ali

Subjects
Artificial neural networks,bulk density,cone index,regression models,water content
Abstract

Penetration resistance (PR) is an important property of soils, and can be expressed as cone index (CI). Because of high variability, there are no accurate and representative PR data in most cases. Variable PR is considerably affected by gravimetric soil water content (GWC) and bulk density (BD). In this study, artificial neural networks (ANNs) were used to simulate relationship between BD, GWC, and CI. A data set of 381 samples was collected from 2 study sites, Hamadan and Maragheh. Pedotransfer functions (PTFs) were developed using ANNs and linear and nonlinear regression models to predict CI for the combined data set and each data set separately. For the combined and Hamadan data sets, ANNs produced a greater correlation coefficient (R = 0.85) and lower root mean square error (RMSE) compared with the linear regression model (R = 0.70). For the Maragheh data set, however, the regression model yielded better results. Introducing TP and relative saturation (Qv/TP) into the models improved the prediction of CI. The results further showed that ANN models performed better than nonlinear regression models. Therefore, ANNs were recognized as powerful tools to predict CI by BD, GWC, TP, and Qv/TP as the independent variables under the very diverse conditions of the soils and treatments employed.

Published
2014

27. Potassium fixation as affected by moisture conditions in some soils of Azerbaijan

Author

Oustan, Shahin, Asghari, Massood, Neyshabouri, Mohammad Reza, Bybordi, Ahmad, and University of Tabriz, Faculty of Agriculture,Soil Science Department, Tabriz

Subjects
Wetting-Drying Cycles, Soil Matric Potential, Potassium Fixation
Abstract

Potassium is the third macronutrient provided in a complete fertilizer. Exhaustive cropping of potassiumdemanding crops like potato, sunflower and sugar beet leads to depletion of soil non-exchangeable potassium and subsequent fixation of added potassium. In this study the effects of different soil moisture conditions on potassium fixation were investigated in some potassium-depleted soils of Azerbaijan province. For this purpose 6 soil samples were selected from among 17 locations where the amounts of boiling nitric acid extractable-K were considerably lower in cultivated soils compared to the adjacent non-cultivated soils. The amount of potassium added to the soils (250 mg K kg-1) was equivalent to the amount of depleted K. Results showed that the amounts of K fixation were significantly (P

Published
2008

28. Spatial modeling of soil salinity using multiple linear regression, ordinary kriging and artificial neural network methods.

Author

Shahabi, Mahmoud, Jafarzadeh, Ali Asghar, Neyshabouri, Mohammad Reza, Ghorbani, Mohammad Ali, and Valizadeh Kamran, Khalil

Subjects
ARTIFICIAL neural networks, SOIL salinity, REGRESSION analysis, KRIGING, STANDARD deviations, PEARSON correlation (Statistics)
Abstract

Salinity as an important property of soil plays a major role in reducing the fertility in the world. Accurate information about the spatial change of soil salinity is essential for sustainable soil management and utilization in agriculture lands. For this purpose, 150 soil samples were collected from Dashte-e-Tabriz Iran and tested and soil salinity was estimated by land surface parameters including elevation, aspect, length of slope, wetness index, slope and normalized difference vegetation index as basic parameters. In order to model and predict the salinity, ordinary kriging (OK), artificial neural networks (ANN) and multiple linear regressions (MLR) were used. Accuracy of models was evaluated by the coefficient of determination (R2), root mean square error (RMSE) and mean absolute error (MAE). Based on Pearson correlation, elevation, normalized difference vegetation and wetness indices were selected for soil salinity spatial modeling from six land surface parameters. The results showed that the ANN had the lowest RMSE and highest R2. The values of R2, RMSE and MAE were 0.36, 25.89 and 17.06 for regression and 0.56, 17.70 and 13.05 for OK and 0.69, 16.06 and 11.60 for ANN, respectively, which indicated more accuracy of ANN in comparison with MLR and OK. [ABSTRACT FROM AUTHOR]

Published
2017
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32. EFFECT OF BIOLOGICAL SLUDGE AND POLYACRYLAMIDE ON IMPROVEMENT OF TOP SOIL AGGREGATION IN TYPIC CALCIXEREPTS OF KARKAJ, IRAN.

Author

Sheikhavandi, Tarlan, Jafazadeh, Ali Asghar, Neyshabouri, Mohammad Reza, and Asghari, Shokrollah

Subjects
SLUDGE management, POLYACRYLAMIDE, BIOLOGICAL aggregation, SOIL management, MICROSCOPY
Abstract

Based on different studies, organic conditioners either natural or synthetic increase the biological activity of soil in order to improve soil condition. This research aimed to reveal the change in soil after using polyacrylamide and biological sludge in two rates (0.25 , 0.5 gram per kilogram soil polyacrylamide and 1.7 , 3.4 gram per kilogram soil biological soil sludge) and incubation times (30 and 180 days) in comparison with control. Obtained results from thin sections using polarized microscope illustrated salient alteration in aggregation and structure. Polyacrylamide in first application rate and in first incubation time made an improvement in soil aggregation with moderately developed aggregates, while second incubation time results illustrated moderately and highly developed aggregates. Structure occurred during the application approaches, the granular structure in early stage of formation and biological sludge has made remarkable improvement in aggregation just in first application rate and incubation time. [ABSTRACT FROM AUTHOR]

Published
2013

33. Comparing Neural Networks, Linear and Nonlinear Regression Techniques to Model Penetration Resistance.

Author

Bayat, Hossein, Neyshabouri, Mohammad Reza, Hajabbasi, Mohammad Ali, Mahboubi, Ali Akbar, and Mosaddeghi, Mohammad Reza

Subjects
*SOIL moisture potential, *SOIL testing, *SOIL solutions, *ARTIFICIAL neural networks, *REGRESSION analysis
Abstract

Penetration resistance (PR) is an important property of soils, and can be expressed as cone index (CI). Because of high variability, there are no accurate and representative PR data in most cases. Variable PR is considerably affected by gravimetric soil water content (GWC) and bulk density (BD). In this study, artificial neural networks (ANNs) were used to simulate relationship between BD, GWC, and CI. A data set of 381 samples was collected from 2 study sites, Hamadan and Maragheh. Pedotransfer functions (PTFs) were developed using ANNs and linear and nonlinear regression models to predict CI for the combined data set and each data set separately. For the combined and Hamadan data sets, ANNs produced a greater correlation coefficient (R = 0.85) and lower root mean square error (RMSE) compared with the linear regression model (R = 0.70). For the Maragheh data set, however, the regression model yielded better results. Introducing TP and relative saturation (?v/TP) into the models improved the prediction of CI. The results further showed that ANN models performed better than nonlinear regression models. Therefore, ANNs were recognized as powerful tools to predict CI by BD, GWC, TP, and θv/TP as the independent variables under the very diverse conditions of the soils and treatments employed. [ABSTRACT FROM AUTHOR]

Published
2008

34. Effects of mycorrhizal colonization on growth parameters of onion under different irrigation and soil conditions.

Author

Bolandnazar SA, Neyshabouri MR, Aliasgharzad N, and Chaparzadeh N

Subjects
Glomeromycota metabolism, Glomeromycota ultrastructure, Onions anatomy & histology, Plant Leaves anatomy & histology, Soil Microbiology, Mycorrhizae metabolism, Onions growth & development, Onions microbiology, Soil
Abstract

The effects of three Arbuscular Mycorrhizal Fungi (AMF), Glomus versiforme, G. intraradices and G. etonicatum) and three irrigation intervals (7, 9 and 11 days) on growth of onion (Allium cepa L.) cv. Red Azar Shahr were studied under two soil conditions (sterilized and non-sterilized). The results indicated that, AMF colonization improved plant height, Leaf Area Index (LAI), total biomass, bulb dry mass and diameter, Harvest Index (HI) and chlorophyll content (p < 0.001). Bulbing occurred 10-15 days earlier in mycorrhizal plants. Irrigation interval decreased biomass, LAI, Leaf Area Ratio (LAR), bulb diameter and dry mass and chlorophyll content (b and total) at 11 day irrigation interval. In term of interaction, G. versiforme at 9 day and non-mycorrhizal plants at 11 day produced the greatest and the lowest LAI (8.56 vs. 1.57), respectively. Mycorrhizal onions in contrary to non-mycorrhizal ones produced more LAI and biomass in sterilized soil and inoculation with G. etonicatum and the non-mycorrhizal onions in sterilized soil had the highest and the lowest biomass, respectively.

Published
2007
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