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Role Of Flood Storage Ability Of Lakes In The Changjiang River Catchment

机译:湖泊蓄洪能力在长江流域的作用

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摘要

Almost every year, China is affected by severe flooding, which causes considerable economic loss and serious damage to towns and farms, in particular, at the middle and lower regions of Changjiang (Yangtze) River. In addition to abnormal weather, previous research has concluded that artificial effects have also been significant causes of major flood disasters along this catchment. These have included (i) extreme deforestation and soil erosion in the upper reaches, (ii) shrinking of lake water volumes and their reduced connection with the Changjiang River due to reclamation of lakes that retarded water in the middle reaches, and (iii) restriction of channel capacity following levee construction. The present research focused on the flood storage ability of Dongting and Poyang Lake in the middle region and simulated the water/heat dynamics for the 1998 large-scale flood, which was one of the largest floods in the 20th century, in the entire Changjiang River catchment. The authors expanded the process-based model for application to broader catchments in order to evaluate large-scale flooding in the Changjiang River (NICE-FLD), and compared the severe flood-period of 1998 with the usual flood-period of 1987-1988. The model reproduced excellently the river discharge, soil moisture, evapotranspiration, groundwater level, and other factors. Furthermore, the authors conducted the back-casting simulation by recreating the areas of both lakes in the 1950s and by inputting the meteorological data in the 1998 severe flood in order to evaluate the role of flood storage ability of lakes. The simulation shows that the peak flow and groundwater level around the junction and downstream from it decrease as qualitatively described by the previous researches. This indicates that the increase of lake storage capacity moderates the peak value of lake water level during the flood periods and decreases the groundwater level surrounding the lakes. This result is very important for minimizing flood damage as far as possible and making the better decision on sustainable development in the catchment.
机译:几乎每年,中国都会遭受严重的洪灾,这会造成可观的经济损失,并对城镇和农场造成严重破坏,尤其是在长江中下游地区。除异常天气外,先前的研究得出的结论是,人为影响也是造成该流域重大洪灾的重要原因。其中包括(i)上游的极端森林砍伐和水土流失;(ii)由于开垦了阻碍中游水源的湖泊而造成的湖泊水量减少,以及与长江的联系减少,以及(iii)限制堤防建设后的通道容量本研究着眼于中部地区的洞庭湖和Po阳湖的蓄水能力,并模拟了1998年大洪水(整个20世纪最大的洪水之一)在整个长江中的水/热动力学。集水。作者将基于过程的模型扩展到更广泛的流域,以评估长江的大规模洪水(NICE-FLD),并将1998年的严重洪灾时期与1987-1988年的常规洪灾时期进行了比较。该模型很好地再现了河流流量,土壤湿度,蒸散量,地下水位和其他因素。此外,作者通过重建1950年代两个湖泊的面积并输入1998年大洪水的气象数据进行了反向模拟,以评估湖泊的洪水存储能力的作用。模拟表明,如先前研究定性描述的那样,交界处及其下游的峰值流量和地下水位降低。这表明,湖泊蓄水量的增加缓和了洪水期间湖泊水位的峰值,并降低了湖泊周围的地下水位。这一结果对于最大程度地减少洪灾破坏以及对流域的可持续发展做出更好的决策非常重要。

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