基于SWAT模型的北江流域生态径流调节服务评估
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国家自然科学基金(41301627);中国气象局气候变化专项(CCSF201715)


Assessment of ecohydrological regulation service in the Beijiang River Basin based on SWAT model
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    摘要:

    为评估北江流域生态径流调节效果并分析径流调节量的时空变化,基于SWAT模型,考虑气象、水文、下垫面等因素,模拟北江流域水文过程,分别计算1980、2000、2015年的植被生态系统对径流的调节量及其经济价值。结果表明:2015年土地利用情况下,生态系统对北江流域的多年平均年调节径流深为-141.2 mm,调节比例为-12.2%,调节价值量为396.2亿元;丰水期的调节径流深为枯水期1.8倍,调节比例小于枯水期,而且丰水期的调节量主要集中在前汛期。流域上游的调节径流深比下游大,2000年与2015年北江流域调节径流深空间分布基本一致,但由于植被覆盖减少、建设用地扩张,北江流域径流调节量减少0.82亿m3,调节价值量降低5.85亿元。

    Abstract:

    To evaluate ecological runoff regulation in Beijiang River Basin and analyze the temporal and spatial changes of runoff regulation amount, the hydrological process of the basin was simulated based on SWAT model, considering meteorological, hydrological, underlying surface factors, etc. The runoff regulation amount and its economic value were calculated under the condition of vegetation ecosystem in 1980, 2000 and 2015. The results show that in the 2015 land use scenario, the average annual regulative runoff depth of the ecosystem in the basin was -141.2 mm which was worth 39.62 billion yuan, and the regulative ratio was -12.2%. Under the regulation of Ecosystem, the change of runoff depth in the flood season was 1. 8 times of that in the dry season but the regulative proportion in the flood season was smaller. In the flood season, the regulative amount of runoff was mainly concentrated in the pre-rainy season. The regulation of runoff in the upper reaches of the basin was larger than that in the lower reaches. In the 2000 and 2015 land use scenarios, the spatial distribution of regulative runoff depth in the basin were basically the same. But due to the reduction of vegetation coverage and increase of construction land, the regulative amount of runoff in the basin decreased by 0.082 billion m3 and the regulation value decreased by 0.585 billion yuan.

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林若兰,卓文珊,高延康,等.基于SWAT模型的北江流域生态径流调节服务评估[J].水资源保护,2020,36(6):131-136.(LIN Ruolan, ZHUO Wenshan, GAO Yankang, et al. Assessment of ecohydrological regulation service in the Beijiang River Basin based on SWAT model[J]. Water Resources Protection,2020,36(6):131-136.(in Chinese))

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  • 收稿日期:2019-10-01
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  • 在线发布日期: 2020-11-18
  • 出版日期: 2020-11-20