Alherbawi Mohammad, McKay Gordon, Govindan Rajesh, Haji Maryam, Al-Ansari Tareq
College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
J Environ Manage. 2022 Dec 1;323:116223. doi: 10.1016/j.jenvman.2022.116223. Epub 2022 Sep 21.
Jatropha curcas L. (JCL) is one of the most prominent energy crops due to its superior agronomical traits, where it can grow in non-arable lands and harsh climates with minimal water requirements. A significant number of studies were published on the utilisation of JCL for biofuel production, whereas there are no studies on its use in greenbelt (GB) or windbreak technologies reported thus far. Meanwhile, a few approaches on the delineation of greenbelts to fight desertification in the arid regions exist in literature. This study presents a novel approach to delineate a multipurpose energy-greenbelt using JCL crop for biofuel production, as well as to preserve the soil and enhance air quality, thereby helping to combat desertification and sand-dust storms (SDS). The methodology is demonstrated using a case study in the state of Qatar for the diversification of its renewable energy resources. Moreover, Qatar is also suffering from land degradation due to erosion factors and desert creep. A multi-dimensional approach is proposed for this purpose using satellite and meteorological data to initially select the optimal plantation sites that potentially contribute to the highest possible biofuel yield. The spatial analysis was carried out using the analytical hierarchy process (AHP) technique for multi-criteria decision making in the geographic information system (ArcGIS). In addition, the Landsat and MODIS satellite imagery were utilised in combination with historical records from the weather stations to evaluate the patterns of SDS, land degradation and urban expansion, to best define optimal GB pathway. COMSOL Multiphysics software was subsequently employed to evaluate the performance of Jatropha-GB and determine its optimal density. The different solutions for GB delineation spans 166.6-227.8 km length and (6 × 6 m) of field density. It is expected that the economic and environmental benefits from the derived GB configuration include: (a) protection of up to 87% of Qatar farms against further deterioration; (b) yield of up to 36 M gallon of green liquid fuels; (c) capture of 0.33 M tonnes of CO per 1 km GB-depth annually; and (d) provide a better air quality for around 95% of the Qatar population.
麻疯树(Jatropha curcas L.,JCL)因其优良的农艺性状,成为最突出的能源作物之一,它能在非耕地和恶劣气候条件下生长,对水的需求极少。已有大量关于利用麻疯树生产生物燃料的研究发表,然而,目前尚无关于其用于绿化带(GB)或防风技术的研究报道。同时,文献中存在一些在干旱地区划定绿化带以防治荒漠化的方法。本研究提出了一种新颖的方法,利用麻疯树作物划定多功能能源绿化带用于生物燃料生产,同时保护土壤和改善空气质量,从而有助于防治荒漠化和沙尘暴(SDS)。该方法通过卡塔尔国的一个案例研究进行了演示,以实现其可再生能源资源的多样化。此外,卡塔尔也因侵蚀因素和沙漠蔓延而遭受土地退化。为此,提出了一种利用卫星和气象数据的多维度方法,初步选择可能有助于实现最高生物燃料产量的最佳种植地点。在地理信息系统(ArcGIS)中,使用层次分析法(AHP)技术进行多标准决策,开展了空间分析。此外,结合气象站的历史记录,利用陆地卫星和中分辨率成像光谱仪(MODIS)卫星图像评估沙尘暴、土地退化和城市扩张模式,以最佳地确定最佳绿化带路径。随后使用COMSOL Multiphysics软件评估麻疯树绿化带的性能并确定其最佳密度。绿化带划定的不同方案长度为166.6 - 227.8千米,田间密度为(6×6米)。预计从得出的绿化带配置中获得的经济和环境效益包括:(a)保护多达87%的卡塔尔农场免受进一步恶化;(b)生产多达3600万加仑的绿色液体燃料;(c)每千米绿化带深度每年捕获0.33百万吨二氧化碳;(d)为约95%的卡塔尔人口提供更好的空气质量。