干旱区生态环境知识资源中心(Arid): Sustainable coastal halophyte farming for biofuel in arid regions: site and feedwater screening using geochemical modeling

Arid

DOI	10.1007/s12517-021-06691-6
	Sustainable coastal halophyte farming for biofuel in arid regions: site and feedwater screening using geochemical modeling
	Ning, Qingqian; Wan, Abdul Matiin; Ahmad, Farrukh
通讯作者	Ahmad, F (corresponding author), Environm Hlth Solut Inc, 4604 Echo Springs Circle, El Dorado Hills, CA 95762 USA. ; Ahmad, F (corresponding author), Masdar Inst Sci & Technol, Inst Ctr Water & Environm iWATER, Dept Chem & Environm Engn, BioEnergy & Environm Lab BEEL, POB 54224, Abu Dhabi, U Arab Emirates.
来源期刊	ARABIAN JOURNAL OF GEOSCIENCES
ISSN	1866-7511
EISSN	1866-7538
出版年	2021
卷号	14 期号:5
英文摘要	Halophyte agriculture in marginal soils using saline water offers a sustainable solution for generating biomass feedstock for carbon-neutral aviation biofuels. A full-scale sustainable energy and agriculture system (SEAS) demonstration is planned for the Abu Dhabi coast, where evaporitic gypsiferous soils pose a challenge to long-term operation because of the potential for land degradation. In this study, geochemical modeling on the Geochemist's Work Bench (GWB((R))) platform was employed to (1) evaluate the feasibility of using coastal groundwater versus seawater as irrigation feedwater, (2) determine the change in agricultural return water salinity through site-specific soils upon different seawater irrigation rates, and (3) assess mineral deposition effects in the soil column as a function of site-specific soil characteristics at candidate sites over a 1-year period of continuous seawater irrigation. Evaporation modeling was used to evaluate potential feedwater sources while varying feedwater composition and electrolyte activity coefficient models. 1-D saturated-flow advection-precipitation/dissolution modeling was utilized to assess return water quality and mineral deposition as a function of both the electrolyte activity coefficient model and the mineral composition of site-specific soils. Results pointed to seawater as the more viable feedwater option compared to coastal groundwater because of slower onset of precipitation. This effort demonstrated that soil type did not influence agricultural return water salinity (except for strongly gypsic soils) but influenced mineral precipitation under surficial evaporation conditions. Porosity loss correlated with layers of mineral deposition. The study points to the need for careful screening of land and saline water resources for the sustainable farming of halophytes.
英文关键词	Sustainable energy and agriculture system (SEAS) Halophyte agriculture Aviation biofuel Geochemical modeling Salinity Coastal land degradation
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000621087300003
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/349541
作者单位	[Ning, Qingqian] Xian Jiaotong Liverpool Univ, Dept Hlth & Environm Sci, Suzhou 215123, Jiangsu, Peoples R China; [Ning, Qingqian] Univ Liverpool, Sch Environm Sci, Liverpool L69 72T, Merseyside, England; [Wan, Abdul Matiin] Plaza Mont Kiara,Block C,Level 3A, Kuala Lumpur 50480, Malaysia; [Ahmad, Farrukh] Environm Hlth Solut Inc, 4604 Echo Springs Circle, El Dorado Hills, CA 95762 USA; [Ning, Qingqian; Wan, Abdul Matiin; Ahmad, Farrukh] Masdar Inst Sci & Technol, Inst Ctr Water & Environm iWATER, Dept Chem & Environm Engn, BioEnergy & Environm Lab BEEL, POB 54224, Abu Dhabi, U Arab Emirates
推荐引用方式 GB/T 7714	Ning, Qingqian,Wan, Abdul Matiin,Ahmad, Farrukh. Sustainable coastal halophyte farming for biofuel in arid regions: site and feedwater screening using geochemical modeling[J],2021,14(5).
APA	Ning, Qingqian,Wan, Abdul Matiin,&Ahmad, Farrukh.(2021).Sustainable coastal halophyte farming for biofuel in arid regions: site and feedwater screening using geochemical modeling.ARABIAN JOURNAL OF GEOSCIENCES,14(5).
MLA	Ning, Qingqian,et al."Sustainable coastal halophyte farming for biofuel in arid regions: site and feedwater screening using geochemical modeling".ARABIAN JOURNAL OF GEOSCIENCES 14.5(2021).