Spatiotemporal Analysis of Open Biomass Burning in Guangxi Province, China, from 2012 to 2023 Based on VIIRS
文献类型: 外文期刊
作者: He, Xinjie 1 ; Huang, Qiting 1 ; Yang, Dewei 2 ; Yang, Yingpin 3 ; Xie, Guoxue 1 ; Yang, Shaoe 1 ; Liang, Cunsui 1 ; Qin, Zelin 1 ;
作者机构: 1.Guangxi Acad Agr Sci, Agr Sci & Technol Informat Res Inst, Nanning 530007, Peoples R China
2.Ecol & Environm Monitoring Ctr Guangxi Prov, Nanning 530025, Peoples R China
3.Guangzhou Univ, Sch Geog & Remote Sensing, Guangzhou 510006, Peoples R China
关键词: open biomass burning; spatiotemporal variation; driving force; Guangxi province
期刊名称:FIRE-SWITZERLAND ( 影响因子:2.7; 五年影响因子:3.0 )
ISSN: 2571-6255
年卷期: 2024 年 7 卷 10 期
页码:
收录情况: SCI
摘要: Open biomass burning has significant adverse effects on regional air quality, climate change, and human health. Extensive open biomass burning is detected in most regions of China, and capturing the characteristics of open biomass burning and understanding its influencing factors are important prerequisites for regulating open biomass burning. The characteristics of open biomass burning have been widely investigated at the national scale, with regional studies often focusing on northeast China, but few studies have examined regional discrepancies in spatiotemporal variations over a long timescale in Guangxi province. In this study, we used the Visible Infrared Imaging Radiometer Suite (VIIRS) 375 m active fire product (VNP14IMG), combined with land cover data and high-resolution remote sensing images, to extract open biomass burning (crop residue burning and forest fire) fire points in Guangxi province from 2012 to 2023. We explored the spatial density distribution and temporal variation of open biomass burning using spatial analysis methods and statistical methods, respectively. Furthermore, we analyzed the driving forces of open biomass burning in Guangxi province from natural (topography, climate, and plant schedule), policy, and social (crop production and cultural customs) perspectives. The results show that open biomass burning is concentrated in the central, eastern, and southern parts of the study area, where there are frequent agricultural activities and abundant forests. At the city level, the highest numbers of fire points were found in Baise, Yulin, Wuzhou, and Nanning. The open biomass burning fire points exhibited large annual variation, with high levels from 2013 to 2015 and a remarkable decrease from 2016 to 2020 under strict control measures; however, inconsistent enforcement led to a significant rebound in fire points from 2021 to 2023. Forest fires are the predominant type of open biomass burning in the region, with forest fires and crop residue burning accounting for 76.82% and 23.18% of the total, respectively. The peak period for crop residue burning occurs in the winter, influenced mainly by topography, planting schedules, crop production, and policies, while forest fires predominantly occur in the winter and spring, primarily influenced by topography, climate, and cultural customs. The results indicate that identifying the driving forces behind spatiotemporal variations is essential for the effective management of open biomass burning.
- 相关文献
作者其他论文 更多>>
-
Investigating the Earliest Identifiable Timing of Sugarcane at Early Season Based on Optical and SAR Time-Series Data
作者:Yang, Yingpin;Wu, Zhifeng;Wang, Dakang;Wang, Yibo;Wang, Jinnian;Yang, Xiankun;Yang, Yingpin;Zou, Jiajun;Huang, Yu;Wu, Zhifeng;Fang, Ting;Xue, Jia;Wang, Dakang;Wang, Yibo;Wang, Jinnian;Yang, Xiankun;Huang, Qiting
关键词:sugarcane; early-season identification; time series; optical and SAR data
-
Sugarcane Phenology Retrieval in Heterogeneous Agricultural Landscapes Based on Spatiotemporal Fusion Remote Sensing Data
作者:Yang, Yingpin;Wu, Zhifeng;Wang, Dakang;Yang, Xiankun;Wang, Yibo;Wang, Jinnian;Hou, Lu;Wang, Zongbin;Chang, Xu;Yang, Yingpin;Wu, Zhifeng;Wang, Dakang;Yang, Xiankun;Wang, Yibo;Wang, Jinnian;Hou, Lu;Wang, Zongbin;Chang, Xu;Wang, Cong;Huang, Qiting
关键词:sugarcane; phenology retrieval; time series; remote sensing; spatiotemporal fusion; NDVI
-
A refined edge-aware convolutional neural networks for agricultural parcel delineation
作者:Lu, Rui;Zhang, Yingfan;Shi, Zhou;Ye, Su;Huang, Qiting;Ye, Su
关键词:Agricultural parcels; Convolutional neural networks; Edge detection; Deep supervision; Boundary refinement
-
YOLOv5s-ECCW: A Lightweight Detection Model for Sugarcane Smut in Natural Environments
作者:Yu, Min;Li, Fengbing;Zhou, Xia;Zhu, Guanghu;Yang, Yunhai;Song, Xiupeng;Zhang, Xiaoqiu;Lei, Jingchao;Huang, Hairong;Huang, Dongmei;Li, Qiufang;Yan, Meixin;Song, Xiupeng;Zhang, Xiaoqiu;Lei, Jingchao;Huang, Hairong;Huang, Dongmei;Li, Qiufang;Yan, Meixin;Song, Xiupeng;Zhang, Xiaoqiu;Lei, Jingchao;Huang, Hairong;Huang, Dongmei;Li, Qiufang;Yan, Meixin;Wang, Zeping;Huang, Qiting;Fang, Hui;Huang, Weihua;Chen, Xiaohang
关键词:sugarcane disease; smut; YOLOv5s; lightweight model; attention mechanism
-
Microbial and organic manure fertilization alters rhizosphere bacteria and carotenoids of Citrus reticulata Blanco 'Orah'
作者:Huang, Qichun;Zhou, Wei;Zeng, Zhikang;Wang, Nina;Huang, Yanxiao;Huang, Quyan;Liu, Jimin;Liu, Fuping;Liao, Huihong;Chen, Dongkui;Wei, Shaolong;Li, Chaosheng;Qin, Zelin;Huang, Qichun;Cheng, Hao;Hu, Chengxiao
关键词:Citrus reticulata Blanco 'Orah'; Bacterial communities; Carotenoids; Fertilization; Organic manure
-
Codon usage bias of secretory protein in Fusarium oxysporum f. sp. cubense tropical race 4
作者:Fang, Hui;Li, Min;Yu, Shenxin;Qin, Zelin;Fang, Hui;Fang, Hui;Sun, Jiaman;Fang, Hui
关键词:banana wilt; codon usage bias; Fusarium oxysporum f. sp. cubense tropical race 4; secreted protein
-
Soil bacterial communities associated with marbled fruit in Citrus reticulata Blanco 'Orah'
作者:Huang, Qichun;Wang, Nina;Liao, Huihong;Wei, Chizhang;Tan, Songyue;Liu, Fuping;Li, Guoguo;Huang, Hongming;Chen, Dongkui;Huang, Qichun;Hu, Chengxiao;Liu, Jimin;Liu, Jimin;Zeng, Zhikang;Qin, Zelin;Wei, Shaolong
关键词:orah; marbled fruit; 16S rRNA sequencing; soil bacterial communities; pathways



