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Author |
Jin, Z.; Külls, C. |
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Title  |
FDM based OA-ICOS for high accuracy 13C quantification in gaseous CO2 |
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Journal Article |
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Year |
2020 |
Publication |
Earth and Environmental Science |
Abbreviated Journal |
EES |
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Volume |
446 |
Issue |
3 |
Pages |
032061 |
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THL @ christoph.kuells @ Jin2020fdm |
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16 |
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Author |
Kamruzzaman, M.; Chowdhury, A. |
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Title |
Flash flooding considerations aside: Knowledge brokering by the extension and advisory services to adapt a farming system to flash flooding |
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Journal Article |
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Year |
2023 |
Publication |
Heliyon |
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Volume |
9 |
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9 |
Pages |
19662 |
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Keywords |
Flash flooding, Knowledge brokering, Extension and advisory services, Farming system, Climate change |
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Abstract |
The development of agriculture sector and livelihood in Bangladesh are threatened by various climatic stressors, including flash flooding. Therefore, Extension and advisory services (EAS) need to navigate the knowledge landscape effectively to connect various farm actors and help secure the optimum benefits of knowledge and information for making rational decisions. However, little is known how EAS can perform this task to combat various effects of climate change. This study investigates the means of brokering knowledge by the EAS to help the farming sector adapt to flash flooding. The research was conducted in the north-eastern part of Bangladesh with 73 staff of the Department of Agricultural Extension (DAE), the largest public EAS in Bangladesh. The results showed that DAE primarily dealt with crop production-related information. However, EAS did not navigate knowledge and information about flash flooding, such as weather forecasting and crop-saving-embankments updates, among the farming actors. Moreover, they missed the broad utilization of internet-based-communication channels to rapidly navigate information and knowledge about possible flash flooding and its adaptation strategies. This article provides some policy implications to effectively support the adaptation of farming system to flash flooding through EAS. |
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2405-8440 |
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THL @ christoph.kuells @ KAMRUZZAMAN2023e19662 |
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235 |
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Grodek, T.; Enzel, Y.; Morin, E.; Jacoby, Y.; Dahan, O.; Benito, G.; Kulls, C.; Geller, A.; Van Langenhove, G.; Seely, M. |
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Flood hydrology, flood routing, paleohydrology and the estimation of water resources along the shallow alluvial aquifers of the Kuiseb River, Namibia |
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Conference Article |
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Year |
2008 |
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Abstracts – Israel Geological Society |
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2008 |
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37 |
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Israel Geological Society |
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THL @ christoph.kuells @ Grodek2008flood |
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56 |
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Morin, E.; Grodek, T.; Dahan, O.; Benito, G.; Külls, C.; Jacoby, Y.; Van Langenhove, G.; Seely, M.; Enzel, Y. |
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Title |
Flood routing and alluvial aquifer recharge along the ephemeral arid Kuiseb River, Namibia |
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Journal Article |
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2009 |
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Journal of Hydrology |
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368 |
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1-4 |
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262-275 |
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Elsevier |
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THL @ christoph.kuells @ Morin2009flood |
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26 |
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Author |
Zeng, S.; Shen, Y.; Sun, B.; Tan, K.; Zhang, S.; Ye, W. |
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Title |
Fractal kinetic characteristics of uranium leaching from low permeability uranium-bearing sandstone |
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Journal Article |
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2022 |
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Nuclear Engineering and Technology |
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54 |
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4 |
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1175-1184 |
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Fractal characteristics, In-situ leaching, Leaching kinetics, Pore structure, Uranium mine |
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Abstract |
The pore structure of uranium-bearing sandstone is one of the critical factors that affect the uranium leaching performance. In this article, uranium-bearing sandstone from the Yili Basin, Xinjiang, China, was taken as the research object. The fractal characteristics of the pore structure of the uranium-bearing sandstone were studied using mercury intrusion experiments and fractal theory, and the fractal dimension of the uranium-bearing sandstone was calculated. In addition, the effect of the fractal characteristics of the pore structure of the uranium-bearing sandstone on the uranium leaching kinetics was studied. Then, the kinetics was analyzed using a shrinking nuclear model, and it was determined that the rate of uranium leaching is mainly controlled by the diffusion reaction, and the dissolution rate constant (K) is linearly related to the pore specific surface fractal dimension (DS) and the pore volume fractal dimension (DV). Eventually, fractal kinetic models for predicting the in-situ leaching kinetics were established using the unreacted shrinking core model, and the linear relationship between the fractal dimension of the sample’s pore structure and the dissolution rate during the leaching was fitted. |
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1738-5733 |
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THL @ christoph.kuells @ zeng_fractal_2022 |
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193 |
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