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Modelling spatial and temporal variability of hydrologic impacts under climate changes over the Nenjiang River Basin, China

机译:嫩江流域气候变化下水文影响时空变化模拟

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The Variable Infiltration Capacity (VIC) hydrologic model was adopted for investigating spatial and temporal variability of hydrologic impacts of climate change over the Nenjiang River Basin (NRB) based on a set of gridded forcing dataset at 1/12th degree resolution from 1970 to 2013. Basin-scale changes in the input forcing data and the simulated hydrological variables of the NRB, as well as station-scale changes in discharges for three major hydrometric stations were examined, which suggested that the model was performed fairly satisfactory in reproducing the observed discharges, meanwhile, the snow cover and evapotranspiration in temporal and spatial patterns were simulated reasonably corresponded to the remotely sensed ones. Wetland maps produced by multi-sources satellite images covering the entire basin between 1978 and 2008 were also utilized for investigating the responses and feedbacks of hydrological regimes on wetland dynamics. Results revealed that significant decreasing trends appeared in annual, spring and autumn streamflow demonstrated strong affection of precipitation and temperature changes over the study watershed, and the effects of climate change on the runoff reduction varied in the sub-basin area over different time scales. The proportion of evapotranspiration to precipitation characterized several severe fluctuations in droughts and floods took place in the region, which implied the enhanced sensitiveness and vulnerability of hydrologic regimes to changing environment of the region. Furthermore, it was found that the different types of wetlands undergone quite unique variation features with the varied hydro-meteorological conditions over the region, such as precipitation, evapotranspiration and soil moisture. This study provided effective scientific basis for water resource managers to develop effective eco-environment management plans and strategies that address the consequences of climate changes.
机译:采用可变渗入能力(VIC)水文模型,以1970年至2013年基于1/12度分辨率的网格强迫数据集为基础,研究嫩江流域(NRB)气候变化的水文影响的时空变化。研究了输入强迫数据的流域规模变化和NRB的模拟水文变量,以及三个主要水文站的流量站规模变化,这表明该模型在再现观测到的流量方面表现令人满意,同时,模拟了时空分布的积雪和蒸散量与遥感的合理对应。 1978年至2008年之间,由覆盖整个盆地的多源卫星图像制作的湿地图还用于调查水文状况对湿地动力学的响应和反馈。结果表明,年流,春季和秋季的流量显着下降趋势,表明该研究流域的降水和温度变化具有强烈影响,并且气候变化对流域减少的影响在不同的时间尺度上有所不同。蒸散量与降水量的比值表明该地区发生了几次干旱和洪灾的严重波动,这意味着水文状况对该地区环境变化的敏感性和脆弱性增强。此外,还发现,随着该地区水文气象条件的变化,不同类型的湿地经历了非常独特的变化特征,例如降水,蒸散和土壤湿度。该研究为水资源管理者制定有效的生态环境管理计划和战略提供了有效的科学依据,以应对气候变化的后果。

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