Evaluating gridded BIOME-BGC for simulating LAI at Kasilian watershed-Iran

Ramezani, Mohammad Reza; Bavani, Alireza Massah; Jafari, Mostafa; Binesh, Ali

doi:10.1080/24749508.2017.1389453

Cited by 6 publications

(2 citation statements)

References 26 publications

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“…For example, BIOME-BGC is a well-known biogeochemical model. Its capability to simulate LAI has been demonstrated in several studies [20,37,39,55,66].…”

Section: Introductionmentioning

confidence: 99%

Investigating the leaf area index changes in response to climate change (case study: Kasilian catchment, Iran)

et al. 2020

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Vegetation cover plays an important role in the hydrologic cycle of Kasilian catchment in Iran. This study aimed to estimate leaf area index (LAI), as an important vegetation factor in hydrologic loses, in response to climate change in the future period (2020-2039) over Kasilian catchment located in the north of Iran. For this purpose, LAI was simulated by gridded BIOME-BGC in 319 pixels within the case study domain over the study period (2004-2013) for three dominant land covers of the Kasilian catchment including deciduous broadleaf forest (DBF), shrubs, and C3 grasses, and BIOME-BGC accuracy has been assessed using MODIS-derived LAI. Then, monthly projections of climate variables obtained from the average of 9 AOGCMs-AR5 in the future period (2020-2039) and annual projection of CO 2 level from 2004 to 2039 under RCP2.6 and RCP8.5 scenarios were used to assess the impact of climate change on LAI. Results show that LAI will increase in response to the overall predicted rise in temperature, precipitation, and CO 2 level under both scenarios in all pixels. This increase under the RCP8.5 scenario is predicted to be more than RCP2.6 scenario so that the mean LAI in Kasilian catchment will increase by 3.1% and 2.2% under RCP8.5 and RCP2.6 scenarios, respectively. In addition, our analysis showed that DBF land cover will be more sensitive to climate change in this catchment.

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“…For example, BIOME-BGC is a well-known biogeochemical model. Its capability to simulate LAI has been demonstrated in several studies [20,37,39,55,66].…”

Section: Introductionmentioning

confidence: 99%

Investigating the leaf area index changes in response to climate change (case study: Kasilian catchment, Iran)

et al. 2020

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“…For example, Bhaskar reported that a hydrocyclone was capable of separating fine particles rich in Pb and Zn from lead-zinc ore (Bhaskar et al 2005, Sharma and. Park adopted the hydrocyclone technology to reduce contaminated dredged material (Park et al 2006, Ramezani et al 2017). Sierra used hydrocyclones to treat the grain-size fraction below 125μm for contaminated soil (Sierra et al 2010, Fu andLiu 2017).…”

Section: Introductionmentioning

confidence: 99%

Heavy Metal Removal From Dredging Slurry Using a Parabolic Hydrocyclone

Yang

Liu

Zhang

et al. 2019

Rev. Int. Contam. Ambie.

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Heavy metals usually aggregate as fine particles in dredging slurry and need to be removed or reduced before recycling of the slurry. However, traditional hydrocyclone method often leads to low separation efficiency because of the difficulties in the complete separation of fine particles. To address this problem, this paper proposes a new type of parabolic hydrocyclone for the removal of heavy metals from dredging slurry. The computational fluid dynamics (CFD) software together with mixture and Reynolds stress model (RSM) have been used to simulate the internal flow field of the parabolic hydrocyclone, which was then verified with experimental tests. The simulation results show that, compared with traditional hydrocyclones, the flow field inside the parabolic hydrocyclone is more stable, which effectively help to avoid the mixture of coarse and fine particles caused by the flow field disturbance. Further experimental results demonstrate that the cumulative percentage of fine particles in the underflow product decreases. The cut size increases from 30 μm to 49 μm and the steepness index rises from 0.13 to 0.2, which proves that the separation accuracy can be improved, and the fine particles mixed in the underflow can be removed effectively. Moreover, the recovery rate of heavy metalas Zn and Cr in the overflow products reaches 97.21 % and 78.27 %, respectively, verifying the enrichment effect. Therefore, after the parabolic hydrocyclone separation process, the underflow products contain less heavy metals and become both non-hazardous and recyclable. Palabras clave: metales pesados, hidrociclón parabólico, CFD, eficiencia de separación, tamaño de corte RESUMEN Los metales pesados usualmente se agrupan como partículas finas en los lodos dragados y necesitan ser removidas o reducidas antes de reciclar el lodo. Sin embargo, el método tradicional del hidrociclón con frecuencia lleva una eficiencia de separación baja debido a las dificultades para lograr la separación de las partículas finas. Para resolver este problema, este artículo propone un nuevo tipo de hidrociclón parabólico para remover metales pesados durante el dragado de los lodos finos. Para simular el campo del flujo interno del hidrociclón parabólico, que después fue verificado con pruebas experimentales, se utilizaron la dinámica de fluídos computacional (CFD, por sus siglas en inglés) junto con el modelo de mezcla y el modelo de estrés de Reynolds (RSM). Los resultados

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