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干旱生态系统中不同土地利用类型下每小时二氧化碳浓度的监测。

Monitoring of hourly carbon dioxide concentration under different land use types in arid ecosystem.

作者信息

Biro Turk Khalid Guma, Alghannam Abdulrahman O, Zeineldin Faisal Ibrahim

机构信息

Water Studies Center, King Faisal University, Al-Ahsa, 31982, Saudi Arabia.

Department of Agriculture Systems Engineering, College of Agricultural and Food Sciences, King Faisal University, P.O. Box 420, Al-Hassa 31982, Saudi Arabia.

出版信息

Open Life Sci. 2022 Dec 31;18(1):20220534. doi: 10.1515/biol-2022-0534. eCollection 2023.

Abstract

Air pollution is a major factor affecting human life and living quality in arid and semiarid regions. This study was conducted in the Al-Ahsa district in the Eastern part of Saudi Arabia to measure carbon dioxide (CO) concentration over different land-use types. Initially, the study's land use/land cover (LULC) was classified using the spectral characteristics of Landsat-8 data. Then, sensors were placed in five sites of different LULC types to detect CO, air temperature, and relative humidity. The Friedman test was used to compare CO concentration among the five sites. Five LULC types were identified over the study area: date palm, cropland, bare land, urban land, and water. The results indicated that CO concentration showed a maximum mean value of 577 ppm recorded from a site dominated by urban lands. During the peak time of human transportation, a maximum value of 659 ppm was detected. The CO concentration mean values detected for the other LULC types showed 535, 515, and 484 ppm for the bare land, cropland, and date palm, respectively. This study's sensors and procedures helped provide information over relatively small areas. However, modelling CO fluctuations with time for LULC changes might improve management and sustainability.

摘要

空气污染是影响干旱和半干旱地区人类生活及生活质量的一个主要因素。本研究在沙特阿拉伯东部的艾哈萨地区开展,以测量不同土地利用类型上的二氧化碳(CO)浓度。最初,利用陆地卫星8号数据的光谱特征对该研究的土地利用/土地覆盖(LULC)进行分类。然后,在五种不同LULC类型的地点放置传感器,以检测CO、气温和相对湿度。采用弗里德曼检验来比较这五个地点的CO浓度。在研究区域内识别出了五种LULC类型:枣椰林、农田、裸地、城市用地和水体。结果表明,城市用地主导的地点记录到的CO浓度平均最大值为577 ppm。在人类交通高峰时段,检测到的最大值为659 ppm。其他LULC类型检测到的CO浓度平均值分别为:裸地535 ppm、农田515 ppm、枣椰林484 ppm。本研究中的传感器和程序有助于在相对较小的区域提供信息。然而,针对LULC变化对CO随时间的波动进行建模可能会改善管理和可持续性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2837/9816458/56e9d6156d1f/j_biol-2022-0534-fig001.jpg

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