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东江源碳储量与面源污染负荷权衡关系及影响因素分析
摘要点击 226  全文点击 15  投稿时间:2024-04-11  修订日期:2024-07-02
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中文关键词  碳储量  面源污染负荷  权衡关系  东江源流域  生态系统服务
英文关键词  carbon storage  non-point source pollution load  trade-off relationship  Dongjiang River Source Basin  ecosystem service
作者单位E-mail
刘星根 江西理工大学土木与测绘工程学院, 赣州 341000
河流源头水生态保护江西省重点实验室, 赣州 341000 
liuxinggen@jxust.edu.cn 
丘靖锋 江西理工大学土木与测绘工程学院, 赣州 341000  
曾金凤 江西理工大学土木与测绘工程学院, 赣州 341000
赣江上游水文水资源监测中心, 赣州 341000 
 
吴则禹 江西理工大学土木与测绘工程学院, 赣州 341000  
中文摘要
      自然界为人类提供多种生态系统功能服务,而高强度人类活动导致流域污染负荷增加,揭示流域碳储量与污染负荷关系有利于理解区域生态系统服务机制,为生态文明建设提供科技支撑.以东江源流域为研究区,基于卫星遥感解译、生态系统服务评估模型和流域污染负荷估算模型,分析碳储量与面源污染负荷的组成结构和空间特征,研究了两者权衡协同关系及影响因素.结果表明:①林地、耕地和果园地是东江源流域主要的土地利用类型,占比依次为74.7%、12.0%和9.7%;②东江源单位面积碳储量为140~180 t·hm-2,空间上呈现热点广布和冷点镶嵌格局;③污染负荷呈现天九-菖蒲-文峰-镇岗为高值区和三百山-三标-桂竹帽为低值区的镶嵌分布格局,畜禽养殖污染排放是面源污染的主要来源之一;④污染负荷与碳储量呈现协同-权衡的复杂关系;⑤两者均受自然条件和社会经济条件共同影响,碳储量受土地利用、归一化植被指数和人口的影响更为明显,而污染负荷主要受国内生产总值、气温和降水等制约.研究结果可为识别减污固碳的优先地区和区域高质量发展提供科技支撑.
英文摘要
      Revealing the relationship between carbon storage and pollution load is conducive to understanding the mechanism of regional ecosystem service. The carbon storage and pollution load of Dongjiang River Source Basin were analyzed using the ecosystem service assessment and pollution load assessment model. Land use was obtained using a supervised classification method based on a Landsat 8 image in 2018. The InVEST model and carbon density data from literature survey were used to evaluate the carbon storage of Dongjiang River Source Basin. The non-point source pollution load was estimated by the Johnes coefficient model. Regression analysis and redundancy analysis were used to explore the trade-offs and influencing factors between carbon storage and pollution load. The results showed that forest land, cultivated land, and orchard land were the main land use types in the Dongjiang River Source Basin, accounting for 74.7%, 12.0%, and 9.7%, respectively. The carbon storage of the Dongjiang River Basin was 140-180 t·hm-2, showing a pattern of a wide distribution of hot spots and mosaic of cold spots in space. The pollution load showed a mosaic distribution pattern with the high value area including Tianjiu, Changpu, Wenfeng, and Zhengang and the low value area including Sanbaishan, Sanbiao, and Guizhumao. The pollution discharge of livestock and poultry breeding was one of the main sources of non-point source pollution. Regressive analysis showed the complex relationship between pollution load and carbon storage of Dongjiang River Source Basin. Redundancy analysis showed that both were affected by natural conditions and socio-economic conditions, in which carbon storage was affected more significantly by land use, NDVI, and population and pollution load was affected more significantly by GDP, temperature, and precipitation. The results emphasize the use of ecosystem services trade-off collaborative analysis to identify priority areas for pollution reduction and carbon sequestration.

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