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Contrasting spatial distribution of the emission and export of phosphorus loss from a typical watershed in Yunnan Plateau Lakes Area |
LI Wen-chao1,2, ZHAI Li-mei1,2, LIU Hong-bin1,2, LEI Qiu-liang1,2, ZHANG Liang3, LIU Shen1,2, REN Tian-zhi4, HU Wan-li5, FU Bin5 |
1. Key Laboratory of Nonpoint Pollution Control, Ministry of Agriculture, Beijing 100081, China;
2. Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China;
3. Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China;
4. Institute of Agro-Environmental Protection, Ministry of Agriculture, Tianjin 300191, China;
5. Institute of Agricultural Environment and Resources, Yunnan Academy of Agricultural Sciences, Kunming 650205, China |
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Abstract Understanding the spatial distribution of phosphorus (P) loss is of value to identify the critical source areas (CSAs) for diffuse pollution control, but little is known about difference between the emission amount thatemitted to the reach and export amount that exported out from reach. Taking Fengyu River watershed, a typical sub-basin of Erhai Lake basin in Yunnan plateau lake area, as the case study area, this work studied on the spatial distribution of the emission and export of P loss using SWAT, furthermore, evaluated the role of P delivery through the reaches in the spatial distribution of P loss. High emission intensity of total Ploss was mostly located in the hydrological sensitive areas or soil erosion sensitive areas with slope arable lands. The highest emission intensity of total Ploss was 1.52~1.82kg/hm2. Moreover, the delivery process of emitted P toreaches decreased the distribution area of the highest export intensity of total P. The highest export intensity of total Ploss reduced to bethe soil erosion sensitive area. The retention coefficients of reaches in different sub-watersheds ranged from -25.6% to 21.6% because of the variation of transporting processes between sub-watersheds, which changed the spatial features of P loss.
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Received: 08 May 2016
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