引用本文:尚婷婷,温飞,黄莉,张亚群.黄河流域甘肃段面源污染估算与空间分析[J].环境监控与预警,2022,14(3):27-34
SHANG Ting-ting, WEN Fei, HUANG Li, ZHANG Ya-qun.Estimation and Spatial Analysis of Diffuse Pollution in Gansu Section of Yellow River Basin[J].Environmental Monitoring and Forewarning,2022,14(3):27-34
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黄河流域甘肃段面源污染估算与空间分析
尚婷婷,温飞,黄莉,张亚群1,2
1. 甘肃省生态环境科学设计研究院,甘肃 兰州 730000;2.生态环境部卫星环境应用中心,北京 100094
摘要:
采用遥感分布式面源污染评估模型(DPeRS),对2018年黄河流域(甘肃段)面源污染空间分布特征进行分析,具体包括多类型污染量产排特征解析和流域优先管控单元识别。结果表明,污染量上,2018年黄河流域(甘肃段)总氮(TN)、总磷(TP)、氨氮(NH3-N)、化学需氧量(CODCr)的面源污染排放负荷分别为65.6,11.8,19.1和77.2 kg/km2,入河量分别为836.7,33.3,220.2和1 353.3 t;空间分布上,氮型(TN和NH3-N)排放负荷高值区主要分布在流域中部和东部局部地区,流域大部分地区TP排放负荷均较高,CODCr面源污染排放负荷高值区分布较为零散。与排放负荷相比,黄河流域(甘肃段)面源污染入河负荷并不突出,这与该地区水资源量少有密切关系。筛选出黄河流域(甘肃段)面源污染优先控制单元15个,面积占比为85.2%,I类优控单元主要分布在庆阳市、天水市、兰州市和白银市等地区,II类优控单元主要分布在甘南藏族自治州,且TN、TP、NH3-N和CODCr面源污染优控单元识别结果的平均精度达到80%。
关键词:  面源污染  遥感分布式面源污染评估模型  优控单元  空间分析  黄河流域甘肃段
DOI:
分类号:X824
基金项目:甘肃省科技计划基金资助项目(20JR10RA442)
Estimation and Spatial Analysis of Diffuse Pollution in Gansu Section of Yellow River Basin
SHANG Ting-ting, WEN Fei, HUANG Li, ZHANG Ya-qun1,2
1.Gansu Academy of Ecoenvironment Sciences, Lanzhou, Gansu 730000, China;2. Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing 100094, China
Abstract:
This paper analyzed the spatial distribution characteristics of diffuse pollution in the Gansu section of the Yellow River Basin in 2018 with DPeRS (Diffuse Pollution estimation with Remote Sensing) model, including the analysis of the characteristics of multi type pollution mass production and discharge and the identification of priority control units(PCU) in the basin. The results showed that in terms of pollution, the non point source pollution discharge loads of total nitrogen (TN), total phosphorus (TP), ammonia nitrogen (NH3-N) and chemical oxygen demand (CODCr) were 65.6 , 11.8 , 19.1 and 77.2 kg/km2, respectively, and the river inflow was 836.7 , 33.3 , 220.2 and 1 353.3 t in the Gansu section of the Yellow River Basin in 2018. As for spatial distribution, nitrogen-type (TN and NH3-N) emission load areas with high values mainly distributed in the central and eastern parts of the basin. Most areas of the basin have high TP emission loads, and the high value areas of CODCr diffuse pollution discharge load were relatively scattered. Compared with the discharge load, the load of diffuse pollution into the river in the Gansu section of the Yellow River Basin was not prominent, which is closely related to the lack of water resources in the region. There are 15 PCUs of diffuse pollution in the Gansu section of the Yellow River Basin, with an area accounting for 85.2 %. Class I PCUs are mainly located in Qingyang City, Tianshui City, Lanzhou City and Baiyin City, and Class II PCUs are mainly located in Gannan Tibetan Autonomous Prefecture. The average accuracy of PCUs of diffuse pollution identification results of TN, TP, NH3-N and CODCr are about 80%.
Key words:  Diffuse pollution  DPeRS model  Priority control units  Spatial analysis  Gansu Section of Yellow River Basin