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32 results on '"Shoqeir, Jawad"'

1. Groundwater Quality Evaluation Following Long Lasting Pollution of the Western Mountain Aquifer

Author

Shoqeir, Jawad Hasan, Tarawneh, Esraa Radi, Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, Gawad, Iman O., Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Ksibi, Mohamed, editor, Sousa, Arturo, editor, Hentati, Olfa, editor, Chenchouni, Haroun, editor, Lopes Velho, José, editor, Negm, Abdelazim, editor, Rodrigo-Comino, Jesús, editor, Hadji, Riheb, editor, Chakraborty, Sudip, editor, and Ghorbal, Achraf, editor

Published
2024
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3. Performance analysis of ARIMA Model for wind speed forecasting in Jerusalem, Palestine.

Author

Alsamamra, Husain R., Salah, Saeed, and Shoqeir, Jawad H.

Abstract

Palestine lacks sufficient conventional energy sources that meet the daily needs of the Palestinian people, and consequently, it heavily relies on neighboring countries for its supply with energy compensations. Wind energy is recognized as an abundant, effective, and eco-friendly power source, but it poses several challenges in harnessing due to the inherent variability of wind characteristics. The main objective of this research study is to delve into the wind energy landscape in Palestine, and to offer some insights into the feasibility of wind speed forecasting for implementing sustainable energy solutions, with a special focus on ARIMA; a widely used statistical method for time series forecasting. It specifically explores the potential of using ARIMA models to forecast wind speed using a data captured from a meteorological station located in east Jerusalem, Palestine for a duration of 2 years—January 1, 2021 to December 31, 2022. To find the optimal values of ARIMA parameters (p, d, q) for the considered study site, a set of experiments were conducted and the model's forecasting accuracy was evaluated using three metrics: RMSE, MAE, and the coefficient of determination (R2). The results have shown that ARIMA (21,2) emerges as the most accurate structure with an input period that demonstrates superior estimation with minimal RMSE (1.74), minimal MAE (1.58) and higher R2 (0.76) values. This means that the optimal estimation is achieved when an autoregressive process is based on the previous two lagged observations and the moving average process incorporates the dependency between the observation and the residual error from a second-order moving average applied to the lagged observations. These findings give valuable insights into the feasibility and precision of wind speed forecasting models for sustainable energy solutions, and emphasize the potential for harnessing wind energy in the region as clarified by ARIMA forecasting accuracy. [ABSTRACT FROM AUTHOR]

Published
2024
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5. Assessment of Vulnerability and Risk Mapping at Marsaba—Feshcha Catchment

Author

Shoqeir, Jawad, Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, O. Gawad, Iman, Editorial Board Member, Amer, Mourad, Series Editor, Chaminé, Helder I., editor, Barbieri, Maurizio, editor, Kisi, Ozgur, editor, Chen, Mingjie, editor, and Merkel, Broder J., editor

Published
2019
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6. Characterizing CO2 residual trapping in-situ by means of single-well push-pull experiments at Heletz, Israel, pilot injection site – experimental procedures and results of the experiments

Author

Niemi, Auli, Bensabat, Jacob, Joodaki, Saba, Basirat, Farzad, Hedayati, Maryeh, Yang, Zhibing, Perez, Lily, Levchenko, Stanislav, Shklarnik, Alon, Ronen, Rona, Goren, Yoni, Fagerlund, Fritjof, Rasmusson, Kristina, Moghadasi, Ramin, Shoqeir, Jawad A.H, Sauter, Martin, Ghergut, Iulia, Gouze, Philippe, and Freifeld, Barry

Published
2020
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12. Structure and Ecosystem Services of Three Common Urban Tree Species in an Arid Climate City.

Author

Amer, Alaa, Franceschi, Eleonora, Hjazin, Amgad, Shoqeir, Jawad H., Moser-Reischl, Astrid, Rahman, Mohammad A., Tadros, Maher, Pauleit, Stephan, Pretzsch, Hans, and Rötzer, Thomas

Subjects
URBAN trees, TREE growth, PUBLIC spaces, ECOSYSTEM services, CITIES & towns, DATE palm, URBAN plants, SPECIES
Abstract

Urban forests play a critical role in improving the quality of life in cities, but in arid environments, little is known about the potential benefits and growth conditions of different tree species. Our study aimed to fill this gap by investigating the relationships between tree dimensions, above-ground biomass carbon storage, and shading potential in three common urban trees in the arid city of Jericho, Palestine, (i.e., Ficus nitida, Delonix regia, and Phoenix dactylifera). The trees were chosen according to their distribution in urban locations and tree vitality, with ages ranging from 20 to 90 years. Based on the results from tree structure measurements, the carbon storage and shading potential were calculated using the City Tree model. The results indicate a moderate to strong relationship between tree height, crown diameter, and crown volume for F. nitida and D. regia (R2 = 0.28–0.66), but no relationship for P. dactylifera (R2 = 0.03–0.06). The findings suggest that the analyzed tree species can considerably contribute to the potential benefits of trees in improving the climate of an arid city: D. regia shows a higher median of above-ground biomass carbon storage of 155 kg C tree−1, while P. dactylifera 91 kg C and F. nitida 76 Kg C. D. regia and F. nitida have a higher median of shading potential, (31 m2–41 m2), respectively. Information on the ecosystem services from urban trees and their relationships in terms of species, age, and tree planting urban location are very important for city planners, in relation to sustainable urban green spaces in arid cities. [ABSTRACT FROM AUTHOR]

Published
2023
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14. The perceptions about renewable energy among Al-Quds University students -Palestine.

Author

Shoqeir, Jawad H., Alsamamra, Husain R., and Zeidan, Afif

Subjects
RENEWABLE energy sources, COLLEGE students, CRONBACH'S alpha, QUESTIONNAIRES
Abstract

This study aims to assess the perceptions about renewable energy among The Palestinian youth. The study aimed to find out the impact of gender, specialization, accommodation, and level of learning among these students on their perceptions of renewable energy. Data was collected a total population of 371; (140) male and (231) female youth students from Al-Quds University. The Perceptions about Renewable Energy Questionnaire (PREQ) was used in this study; this questionnaire has six scales containing 35 items. In this study, PREQ was supported by the validity of factors, and alpha Cronbach reliability of the tool was found to be (0.90). The study revealed that the average elements in PREQ were (3.41) and is relatively high based on a five-point Scale of the Likert type. The result of the current study showed that there was a statistically significant difference in accommodation in students' responses to PREQ, as village students' perceptions of PREQ were more positive than their city and camp counterparts. The results also showed statistically significant differences in PREQ due to the academic level variable in favor of new students. Gender variables and student specialization have a major impact that is not important. [ABSTRACT FROM AUTHOR]

Published
2022

22. Early stage litter decomposition across biomes

Author

Djukic, Ika, Kepfer-Rojas, Sebastian, Schmidt, Inger Kappel, Larsen, Klaus Steenberg, Beier, Claus, Berg, Björn, Verheyen, Kris, Caliman, Adriano, Paquette, Alain, Gutiérrez-Girón, Alba, Humber, Alberto, Valdecantos, Alejandro, Petraglia, Alessandro, Alexander, Heather, Augustaitis, Algirdas, Saillard, Amélie, Fernández, Ana Carolina Ruiz, Sousa, Ana I., Lillebø, Ana I., da Rocha Gripp, Anderson, Francez, André-Jean, Fischer, Andrea, Bohner, Andreas, Malyshev, Andrey, Andrić, Andrijana, Smith, Andy, Stanisci, Angela, Seres, Anikó, Schmidt, Anja, Avila, Anna, Probst, Anne, Ouin, Annie, Khuroo, Anzar A., Verstraeten, Arne, Palabral-Aguilera, Arely N., Stefanski, Artur, Gaxiola, Aurora, Muys, Bart, Bosman, Bernard, Ahrends, Bernd, Parker, Bill, Sattler, Birgit, Yang, Bo, Juráni, Bohdan, Erschbamer, Brigitta, Ortiz, Carmen Eugenia Rodriguez, Christiansen, Casper T., Carol Adair, E., Meredieu, Céline, Mony, Cendrine, Nock, Charles A., Chen, Chi-Ling, Wang, Chiao-Ping, Baum, Christel, Rixen, Christian, Delire, Christine, Piscart, Christophe, Andrews, Christopher, Rebmann, Corinna, Branquinho, Cristina, Polyanskaya, Dana, Delgado, David Fuentes, Wundram, Dirk, Radeideh, Diyaa, Ordóñez-Regil, Eduardo, Crawford, Edward, Preda, Elena, Tropina, Elena, Groner, Elli, Lucot, Eric, Hornung, Erzsébet, Gacia, Esperança, Lévesque, Esther, Benedito, Evanilde, Davydov, Evgeny A., Ampoorter, Evy, Bolzan, Fabio Padilha, Varela, Felipe, Kristöfel, Ferdinand, Maestre, Fernando T., Maunoury-Danger, Florence, Hofhansl, Florian, Kitz, Florian, Sutter, Flurin, Cuesta, Francisco, de Almeida Lobo, Francisco, de Souza, Franco Leandro, Berninger, Frank, Zehetner, Franz, Wohlfahrt, Georg, Vourlitis, George, Carreño-Rocabado, Geovana, Arena, Gina, Pinha, Gisele Daiane, González, Grizelle, Canut, Guylaine, Lee, Hanna, Verbeeck, Hans, Auge, Harald, Pauli, Harald, Nacro, Hassan Bismarck, Bahamonde, Héctor A., Feldhaar, Heike, Jäger, Heinke, Serrano, Helena C., Verheyden, Hélène, Bruelheide, Helge, Meesenburg, Henning, Jungkunst, Hermann, Jactel, Hervé, Shibata, Hideaki, Kurokawa, Hiroko, Rosas, Hugo López, Rojas Villalobos, Hugo L., Yesilonis, Ian, Melece, Inara, Van Halder, Inge, Quirós, Inmaculada García, Makelele, Isaac, Senou, Issaka, Fekete, István, Mihal, Ivan, Ostonen, Ivika, Borovská, Jana, Roales, Javier, Shoqeir, Jawad, Lata, Jean-Christophe, Theurillat, Jean-Paul, Probst, Jean-Luc, Zimmerman, Jess, Vijayanathan, Jeyanny, Tang, Jianwu, Thompson, Jill, Doležal, Jiří, Sanchez-Cabeza, Joan-Albert, Merlet, Joël, Henschel, Joh, Neirynck, Johan, Knops, Johannes, Loehr, John, von Oppen, Jonathan, Þorláksdóttir, Jónína Sigríður, Löffler, Jörg, Cardoso-Mohedano, José-Gilberto, Benito-Alonso, José-Luis, Torezan, Jose Marcelo, Morina, Joseph C., Jiménez, Juan J., Quinde, Juan Dario, Alatalo, Juha, Seeber, Julia, Stadler, Jutta, Kriiska, Kaie, Coulibaly, Kalifa, Fukuzawa, Karibu, Szlavecz, Katalin, Gerhátová, Katarína, Lajtha, Kate, Käppeler, Kathrin, Jennings, Katie A., Tielbörger, Katja, Hoshizaki, Kazuhiko, Green, Ken, Yé, Lambiénou, Pazianoto, Laryssa Helena Ribeiro, Dienstbach, Laura, Williams, Laura, Yahdjian, Laura, Brigham, Laurel M., van den Brink, Liesbeth, Rustad, Lindsey, Zhang, Lipeng, Morillas, Lourdes, Xiankai, Lu, Carneiro, Luciana Silva, Di Martino, Luciano, Villar, Luis, Bader, Maaike Y., Morley, Madison, Lebouvier, Marc, Tomaselli, Marcello, Sternberg, Marcelo, Schaub, Marcus, Santos-Reis, Margarida, Glushkova, Maria, Torres, María Guadalupe Almazán, Giroux, Marie-Andrée, de Graaff, Marie-Anne, Pons, Marie-Noëlle, Bauters, Marijn, Mazón, Marina, Frenzel, Mark, Didion, Markus, Wagner, Markus, Hamid, Maroof, Lopes, Marta L., Apple, Martha, Schädler, Martin, Weih, Martin, Gualmini, Matteo, Vadeboncoeur, Matthew A., Bierbaumer, Michael, Danger, Michael, Liddell, Michael, Mirtl, Michael, Scherer-Lorenzen, Michael, Růžek, Michal, Carbognani, Michele, Di Musciano, Michele, Matsushita, Michinari, Zhiyanski, Miglena, Pușcaș, Mihai, Barna, Milan, Ataka, Mioko, Jiangming, Mo, Alsafran, Mohammed, Carnol, Monique, Barsoum, Nadia, Tokuchi, Naoko, Eisenhauer, Nico, Lecomte, Nicolas, Filippova, Nina, Hölzel, Norbert, Ferlian, Olga, Romero, Oscar, Pinto, Osvaldo B., Peri, Pablo, Weber, Paige, Vittoz, Pascal, Turtureanu, Pavel Dan, Fleischer, Peter, Macreadie, Peter, Haase, Peter, Reich, Peter, Petřík, Petr, Choler, Philippe, Marmonier, Pierre, Muriel, Priscilla, Ponette, Quentin, Guariento, Rafael Dettogni, Canessa, Rafaella, Kiese, Ralf, Hewitt, Rebecca, Rønn, Regin, Adrian, Rita, Kanka, Róbert, Weigel, Robert, Gatti, Roberto Cazzolla, Martins, Rodrigo Lemes, Georges, Romain, Meneses, Rosa Isela, Gavilán, Rosario G., Dasgupta, Sabyasachi, Wittlinger, Sally, Puijalon, Sara, Freda, Sarah, Suzuki, Satoshi, Charles, Sean, Gogo, Sébastien, Drollinger, Simon, Mereu, Simone, Wipf, Sonja, Trevathan-Tackett, Stacey, Löfgren, Stefan, Stoll, Stefan, Trogisch, Stefan, Hoeber, Stefanie, Seitz, Steffen, Glatzel, Stephan, Milton, Sue J., Dousset, Sylvie, Mori, Taiki, Sato, Takanori, Ise, Takeshi, Hishi, Takuo, Kenta, Tanaka, Nakaji, Tatsuro, Michelan, Thaisa Sala, Camboulive, Thierry, Mozdzer, Thomas J., Scholten, Thomas, Spiegelberger, Thomas, Zechmeister, Thomas, Kleinebecker, Till, Hiura, Tsutom, Enoki, Tsutomu, Ursu, Tudor-Mihai, di Cella, Umberto Morra, Hamer, Ute, Klaus, Valentin H., Rêgo, Vanessa Mendes, Di Cecco, Valter, Busch, Verena, Fontana, Veronika, Piscová, Veronika, Carbonell, Victoria, Ochoa, Victoria, Bretagnolle, Vincent, Maire, Vincent, Farjalla, Vinicius, Zhou, Wenjun, Luo, Wentao, McDowell, William H., Hu, Yalin, Utsumi, Yasuhiro, Kominami, Yuji, Zaika, Yulia, Rozhkov, Yury, Kotroczó, Zsolt, Tóth, Zsolt, Djukic, Ika, Kepfer-Rojas, Sebastian, Schmidt, Inger Kappel, Larsen, Klaus Steenberg, Beier, Claus, Berg, Björn, Verheyen, Kris, Caliman, Adriano, Paquette, Alain, Gutiérrez-Girón, Alba, Humber, Alberto, Valdecantos, Alejandro, Petraglia, Alessandro, Alexander, Heather, Augustaitis, Algirdas, Saillard, Amélie, Fernández, Ana Carolina Ruiz, Sousa, Ana I., Lillebø, Ana I., da Rocha Gripp, Anderson, Francez, André-Jean, Fischer, Andrea, Bohner, Andreas, Malyshev, Andrey, Andrić, Andrijana, Smith, Andy, Stanisci, Angela, Seres, Anikó, Schmidt, Anja, Avila, Anna, Probst, Anne, Ouin, Annie, Khuroo, Anzar A., Verstraeten, Arne, Palabral-Aguilera, Arely N., Stefanski, Artur, Gaxiola, Aurora, Muys, Bart, Bosman, Bernard, Ahrends, Bernd, Parker, Bill, Sattler, Birgit, Yang, Bo, Juráni, Bohdan, Erschbamer, Brigitta, Ortiz, Carmen Eugenia Rodriguez, Christiansen, Casper T., Carol Adair, E., Meredieu, Céline, Mony, Cendrine, Nock, Charles A., Chen, Chi-Ling, Wang, Chiao-Ping, Baum, Christel, Rixen, Christian, Delire, Christine, Piscart, Christophe, Andrews, Christopher, Rebmann, Corinna, Branquinho, Cristina, Polyanskaya, Dana, Delgado, David Fuentes, Wundram, Dirk, Radeideh, Diyaa, Ordóñez-Regil, Eduardo, Crawford, Edward, Preda, Elena, Tropina, Elena, Groner, Elli, Lucot, Eric, Hornung, Erzsébet, Gacia, Esperança, Lévesque, Esther, Benedito, Evanilde, Davydov, Evgeny A., Ampoorter, Evy, Bolzan, Fabio Padilha, Varela, Felipe, Kristöfel, Ferdinand, Maestre, Fernando T., Maunoury-Danger, Florence, Hofhansl, Florian, Kitz, Florian, Sutter, Flurin, Cuesta, Francisco, de Almeida Lobo, Francisco, de Souza, Franco Leandro, Berninger, Frank, Zehetner, Franz, Wohlfahrt, Georg, Vourlitis, George, Carreño-Rocabado, Geovana, Arena, Gina, Pinha, Gisele Daiane, González, Grizelle, Canut, Guylaine, Lee, Hanna, Verbeeck, Hans, Auge, Harald, Pauli, Harald, Nacro, Hassan Bismarck, Bahamonde, Héctor A., Feldhaar, Heike, Jäger, Heinke, Serrano, Helena C., Verheyden, Hélène, Bruelheide, Helge, Meesenburg, Henning, Jungkunst, Hermann, Jactel, Hervé, Shibata, Hideaki, Kurokawa, Hiroko, Rosas, Hugo López, Rojas Villalobos, Hugo L., Yesilonis, Ian, Melece, Inara, Van Halder, Inge, Quirós, Inmaculada García, Makelele, Isaac, Senou, Issaka, Fekete, István, Mihal, Ivan, Ostonen, Ivika, Borovská, Jana, Roales, Javier, Shoqeir, Jawad, Lata, Jean-Christophe, Theurillat, Jean-Paul, Probst, Jean-Luc, Zimmerman, Jess, Vijayanathan, Jeyanny, Tang, Jianwu, Thompson, Jill, Doležal, Jiří, Sanchez-Cabeza, Joan-Albert, Merlet, Joël, Henschel, Joh, Neirynck, Johan, Knops, Johannes, Loehr, John, von Oppen, Jonathan, Þorláksdóttir, Jónína Sigríður, Löffler, Jörg, Cardoso-Mohedano, José-Gilberto, Benito-Alonso, José-Luis, Torezan, Jose Marcelo, Morina, Joseph C., Jiménez, Juan J., Quinde, Juan Dario, Alatalo, Juha, Seeber, Julia, Stadler, Jutta, Kriiska, Kaie, Coulibaly, Kalifa, Fukuzawa, Karibu, Szlavecz, Katalin, Gerhátová, Katarína, Lajtha, Kate, Käppeler, Kathrin, Jennings, Katie A., Tielbörger, Katja, Hoshizaki, Kazuhiko, Green, Ken, Yé, Lambiénou, Pazianoto, Laryssa Helena Ribeiro, Dienstbach, Laura, Williams, Laura, Yahdjian, Laura, Brigham, Laurel M., van den Brink, Liesbeth, Rustad, Lindsey, Zhang, Lipeng, Morillas, Lourdes, Xiankai, Lu, Carneiro, Luciana Silva, Di Martino, Luciano, Villar, Luis, Bader, Maaike Y., Morley, Madison, Lebouvier, Marc, Tomaselli, Marcello, Sternberg, Marcelo, Schaub, Marcus, Santos-Reis, Margarida, Glushkova, Maria, Torres, María Guadalupe Almazán, Giroux, Marie-Andrée, de Graaff, Marie-Anne, Pons, Marie-Noëlle, Bauters, Marijn, Mazón, Marina, Frenzel, Mark, Didion, Markus, Wagner, Markus, Hamid, Maroof, Lopes, Marta L., Apple, Martha, Schädler, Martin, Weih, Martin, Gualmini, Matteo, Vadeboncoeur, Matthew A., Bierbaumer, Michael, Danger, Michael, Liddell, Michael, Mirtl, Michael, Scherer-Lorenzen, Michael, Růžek, Michal, Carbognani, Michele, Di Musciano, Michele, Matsushita, Michinari, Zhiyanski, Miglena, Pușcaș, Mihai, Barna, Milan, Ataka, Mioko, Jiangming, Mo, Alsafran, Mohammed, Carnol, Monique, Barsoum, Nadia, Tokuchi, Naoko, Eisenhauer, Nico, Lecomte, Nicolas, Filippova, Nina, Hölzel, Norbert, Ferlian, Olga, Romero, Oscar, Pinto, Osvaldo B., Peri, Pablo, Weber, Paige, Vittoz, Pascal, Turtureanu, Pavel Dan, Fleischer, Peter, Macreadie, Peter, Haase, Peter, Reich, Peter, Petřík, Petr, Choler, Philippe, Marmonier, Pierre, Muriel, Priscilla, Ponette, Quentin, Guariento, Rafael Dettogni, Canessa, Rafaella, Kiese, Ralf, Hewitt, Rebecca, Rønn, Regin, Adrian, Rita, Kanka, Róbert, Weigel, Robert, Gatti, Roberto Cazzolla, Martins, Rodrigo Lemes, Georges, Romain, Meneses, Rosa Isela, Gavilán, Rosario G., Dasgupta, Sabyasachi, Wittlinger, Sally, Puijalon, Sara, Freda, Sarah, Suzuki, Satoshi, Charles, Sean, Gogo, Sébastien, Drollinger, Simon, Mereu, Simone, Wipf, Sonja, Trevathan-Tackett, Stacey, Löfgren, Stefan, Stoll, Stefan, Trogisch, Stefan, Hoeber, Stefanie, Seitz, Steffen, Glatzel, Stephan, Milton, Sue J., Dousset, Sylvie, Mori, Taiki, Sato, Takanori, Ise, Takeshi, Hishi, Takuo, Kenta, Tanaka, Nakaji, Tatsuro, Michelan, Thaisa Sala, Camboulive, Thierry, Mozdzer, Thomas J., Scholten, Thomas, Spiegelberger, Thomas, Zechmeister, Thomas, Kleinebecker, Till, Hiura, Tsutom, Enoki, Tsutomu, Ursu, Tudor-Mihai, di Cella, Umberto Morra, Hamer, Ute, Klaus, Valentin H., Rêgo, Vanessa Mendes, Di Cecco, Valter, Busch, Verena, Fontana, Veronika, Piscová, Veronika, Carbonell, Victoria, Ochoa, Victoria, Bretagnolle, Vincent, Maire, Vincent, Farjalla, Vinicius, Zhou, Wenjun, Luo, Wentao, McDowell, William H., Hu, Yalin, Utsumi, Yasuhiro, Kominami, Yuji, Zaika, Yulia, Rozhkov, Yury, Kotroczó, Zsolt, and Tóth, Zsolt

Abstract

Through litter decomposition enormous amounts of carbon is emitted to the atmosphere. Numerous large-scale decomposition experiments have been conducted focusing on this fundamental soil process in order to understand the controls on the terrestrial carbon transfer to the atmosphere. However, previous studies were mostly based on site-specific litter and methodologies, adding major uncertainty to syntheses, comparisons and meta-analyses across different experiments and sites. In the TeaComposition initiative, the potential litter decomposition is investigated by using standardized substrates (Rooibos and Green tea) for comparison of litter mass loss at 336 sites (ranging from −9 to +26 °C MAT and from 60 to 3113 mm MAP) across different ecosystems. In this study we tested the effect of climate (temperature and moisture), litter type and land-use on early stage decomposition (3 months) across nine biomes. We show that litter quality was the predominant controlling factor in early stage litter decomposition, which explained about 65% of the variability in litter decomposition at a global scale. The effect of climate, on the other hand, was not litter specific and explained <0.5% of the variation for Green tea and 5% for Rooibos tea, and was of significance only under unfavorable decomposition conditions (i.e. xeric versus mesic environments). When the data were aggregated at the biome scale, climate played a significant role on decomposition of both litter types (explaining 64% of the variation for Green tea and 72% for Rooibos tea). No significant effect of land-use on early stage litter decomposition was noted within the temperate biome. Our results indicate that multiple drivers are affecting early stage litter mass loss with litter quality being dominant. In order to be able to quantify the relative importance of the different drivers over time, long-term studies combined with experimental trials are needed.

Published
2018

24. Early stage litter decomposition across biomes

Author

Djukic, Ika, primary, Kepfer-Rojas, Sebastian, additional, Schmidt, Inger Kappel, additional, Larsen, Klaus Steenberg, additional, Beier, Claus, additional, Berg, Björn, additional, Verheyen, Kris, additional, Caliman, Adriano, additional, Paquette, Alain, additional, Gutiérrez-Girón, Alba, additional, Humber, Alberto, additional, Valdecantos, Alejandro, additional, Petraglia, Alessandro, additional, Alexander, Heather, additional, Augustaitis, Algirdas, additional, Saillard, Amélie, additional, Fernández, Ana Carolina Ruiz, additional, Sousa, Ana I., additional, Lillebø, Ana I., additional, da Rocha Gripp, Anderson, additional, Francez, André-Jean, additional, Fischer, Andrea, additional, Bohner, Andreas, additional, Malyshev, Andrey, additional, Andrić, Andrijana, additional, Smith, Andy, additional, Stanisci, Angela, additional, Seres, Anikó, additional, Schmidt, Anja, additional, Avila, Anna, additional, Probst, Anne, additional, Ouin, Annie, additional, Khuroo, Anzar A., additional, Verstraeten, Arne, additional, Palabral-Aguilera, Arely N., additional, Stefanski, Artur, additional, Gaxiola, Aurora, additional, Muys, Bart, additional, Bosman, Bernard, additional, Ahrends, Bernd, additional, Parker, Bill, additional, Sattler, Birgit, additional, Yang, Bo, additional, Juráni, Bohdan, additional, Erschbamer, Brigitta, additional, Ortiz, Carmen Eugenia Rodriguez, additional, Christiansen, Casper T., additional, Carol Adair, E., additional, Meredieu, Céline, additional, Mony, Cendrine, additional, Nock, Charles A., additional, Chen, Chi-Ling, additional, Wang, Chiao-Ping, additional, Baum, Christel, additional, Rixen, Christian, additional, Delire, Christine, additional, Piscart, Christophe, additional, Andrews, Christopher, additional, Rebmann, Corinna, additional, Branquinho, Cristina, additional, Polyanskaya, Dana, additional, Delgado, David Fuentes, additional, Wundram, Dirk, additional, Radeideh, Diyaa, additional, Ordóñez-Regil, Eduardo, additional, Crawford, Edward, additional, Preda, Elena, additional, Tropina, Elena, additional, Groner, Elli, additional, Lucot, Eric, additional, Hornung, Erzsébet, additional, Gacia, Esperança, additional, Lévesque, Esther, additional, Benedito, Evanilde, additional, Davydov, Evgeny A., additional, Ampoorter, Evy, additional, Bolzan, Fabio Padilha, additional, Varela, Felipe, additional, Kristöfel, Ferdinand, additional, Maestre, Fernando T., additional, Maunoury-Danger, Florence, additional, Hofhansl, Florian, additional, Kitz, Florian, additional, Sutter, Flurin, additional, Cuesta, Francisco, additional, de Almeida Lobo, Francisco, additional, de Souza, Franco Leandro, additional, Berninger, Frank, additional, Zehetner, Franz, additional, Wohlfahrt, Georg, additional, Vourlitis, George, additional, Carreño-Rocabado, Geovana, additional, Arena, Gina, additional, Pinha, Gisele Daiane, additional, González, Grizelle, additional, Canut, Guylaine, additional, Lee, Hanna, additional, Verbeeck, 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Published
2018
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28. Photodegradation using TiO2-activated borosilicate tubes.

Author

Khalaf, Samer, Shoqeir, Jawad H., Scrano, Laura, Karaman, Rafik, and Bufo, Sabino A.

Subjects
PHOTODEGRADATION, PERSISTENT pollutants, TUBES, MEFENAMIC acid, TITANIUM oxides, TITANIUM dioxide
Abstract

This study examines the photocatalytic activity of titanium dioxide (TiO2) semiconductor supported on borosilicate tubes (cut-off 290 nm) towards removal of a mix of persistent organic pollutants (POPs) from water. For this purpose, two widely used analgesic and anti-inflammatory drugs (NSAIDs), ibuprofen (IBU) and mefenamic acid, along with MCPA sodium monohydrate, which is a common herbicide frequently used in the agricultural activities, were selected as a case study. Borosilicate tubes were coated with titanium oxide through two different approaches: sol-gel dip-coating and a hybrid nanoparticle dip-coating and plasma-enhanced chemical vapour deposition (PECVD) process. The photochemical reactor that hosts the titania-coated tubes was designed to permit continuous throughput of liquid feed stream. The photodegradation experiments were performed in laboratory conditions under artificial irradiation simulating solar light. The efficiency of direct photolysis and heterogeneous photocatalysis (TiO2) was investigated, and the performance of each coating method was evaluated. Kinetic studies for each experiment were accomplished, the overall results showed poor efficiency and insufficient removal for NSAIDs through direct photolysis, whereas applying heterogeneous photacatalysis with TiO2 coated on borosilicate tubes was found to accelerate their degradation rate with complete decomposition. Concomitantly, kinetic experimental results showed a critical difference of performance for the two coating methods used; in particular, the degradation rates of pollutants by the sol-gel-coated tubes were much faster than the degradation by the nanoparticle/PECVD-coated tubes. Using TiO2 supported on borosilicate tubes appears to be a promising alternative to conventional TiO2 suspension and avoid post-separation stages. The results achieved in this study can be used to optimise large-scale applications, and expanding the study to cover a wide range of pollutants will lead to achieve more representative results. [ABSTRACT FROM AUTHOR]

Published
2019
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