文章摘要
王赵飞,林晨,许金朵,金平华,熊俊峰,闵敏,马荣华.巢湖流域非点源颗粒态磷负荷的空间差异及关键影响因子研究[J].农业环境科学学报,2019,38(3):659-670.
巢湖流域非点源颗粒态磷负荷的空间差异及关键影响因子研究
Spatial differences in non-point source particle phosphorus loads and critical influence factors in the Chaohu Basin
投稿时间:2018-02-03  
DOI:10.11654/jaes.2018-0188
中文关键词: 土地利用  颗粒态磷负荷模数  巢湖流域  泥沙输移分布模型
英文关键词: land use  particulate phosphorus loading modulus  Chaohu Basin  sediment delivery distributed model
基金项目:国家自然科学基金项目(41671284);中国科学院前沿重点科学研究计划项目(QYZDB-SSW-DQC038);中国科学院一三五部署项目(NIGLAS2018GH02);国家重点研发计划项目(2016YFC0500201-05)
作者单位E-mail
王赵飞 东华理工大学测绘工程学院, 流域生态与地理环境监测国家测绘地理信息局重点实验室, 南昌 330013
中国科学院南京地理与湖泊研究所, 中国科学院流域地理学重点实验室, 南京 210008 
 
林晨 中国科学院南京地理与湖泊研究所, 中国科学院流域地理学重点实验室, 南京 210008 clin@niglas.ac.cn 
许金朵 中国科学院南京地理与湖泊研究所, 中国科学院流域地理学重点实验室, 南京 210008  
金平华 江苏省土地勘测规划院, 南京 210017  
熊俊峰 中国科学院南京地理与湖泊研究所, 中国科学院流域地理学重点实验室, 南京 210008
中国科学院大学, 北京 100049 
 
闵敏 中国科学院南京地理与湖泊研究所, 中国科学院流域地理学重点实验室, 南京 210008
中国科学院大学, 北京 100049 
 
马荣华 中国科学院南京地理与湖泊研究所, 中国科学院流域地理学重点实验室, 南京 210008  
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中文摘要:
      首先选取巢湖流域内的7个二级流域作为研究区,同时为了使研究结果更具可靠性,利用县级行政区划数据对研究区进行细化;然后构建泥沙输移分布模型,定量估算2015年巢湖流域颗粒态磷负荷模数;最后在不同土地利用模式下,综合考虑地理位置、资源条件、社会经济等影响因子,剖析产生颗粒态磷流失的差异并分析其原因。结果表明:巢湖流域平均颗粒态磷负荷模数为0.308 t·km-2·a-1,主要用地类型为林地0.759 t·km-2·a-1 > 耕地0.256 t·km-2·a-1 > 建设用地0.138 t·km-2·a-1,细分研究区使研究结果更具可靠性。颗粒态磷负荷模数具有空间差异,高值区集中在坡度较大、降水充沛的杭埠河流域(岳西县、霍山县、舒城县);低值区分布在地势平缓、经济发展水平较高的派河流域(肥西县)、南淝河流域(合肥市、长丰县)。坡度大、降水丰沛是造成林地、耕地颗粒态磷负荷模数较高的主要原因;化肥、农药不合理施用、地膜污染等导致耕地负荷较高;畜禽养殖提高建设用地负荷;磷矿的分布也会增加磷背景值。
英文摘要:
      In this study, we selected seven sub-basins of the Chaohu Basin as the target area. Furthermore, county-level administrative division data were used to refine the units of the study area to ensure more reliable results. A sediment delivery distribution model was then established to quantitatively estimate the particulate phosphorus loading modules (PPLM) of the Chaohu Basin in 2015. Finally, multiple factors, including the geographical location, resource conditions, and socio-economic indicators, are comprehensively integrated to determine the differences in the loss of particulate phosphorus and their causes under different land use patterns. The main conclusions are as follows:The average PPLM of the entire Chaohu Basin is 0.308 t·km-2·a-1, while, among the different land-use types, the lowest level is observed in construction land (0.138 t·km-2·a-1), which is lower than that of woodland (0.759 t·km-2·a-1) and cultivated land (0.256 t·km-2·a-1). This differs from previous studies, demonstrating that subdividing the research units can improve the reliability of the results. There are spatial differences in PPLM. High-value areas are concentrated in the Hangbu River Basin (Yuexi, Huoshan, and Shucheng counties), with steep slopes and abundant rainfall, while low-value regions are distributed in the flat terrain and developed economic basins, such as the Paihe (Feixi County) and Nanfei River basins (Hefei City and Changfeng County). Steep slopes and abundant rainfall could be the main reasons for the higher PPLM in woodland and cultivated land, and the unsustainable use of chemical fertilizers, pesticides, and plastic film pollution have led to higher arable land loadings. In addition, the breeding of livestock and poultry increases the loadings of construction land, and the distribution of phosphorite also increased the background phosphorus values.
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