|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | 基于SWAT模型的气候变化对泾河径流量的影响显示文摘在收集、处理大量空间及属性数据资料的基础上,构建泾河流域SWAT模型,运用流域出口站张家山水文站点11年的月实测径流量数据对模型进行率定和验证,并以Nash-Sutcliffe系数(Ns)和决定系数(R2)2个指标综合评价模拟效果,率定期及验证期的2个指标值均大于0.7,表明模型对泾河径流量的模拟具有较好的适用性。通过历史降水量数据频率分析计算,选取3个典型水文年作为基准年,并根据前人对Had CM3模式在A2、B2情景下的输出数据作统计降尺度处理得到流域未来3个时段(2020s、2050s和2080s)降水量、气温的变化结果,设定2种未来气候变化情景,并分别输入已验证的SWAT模型,预测未来典型水文年月径流量的变化趋势。结果表明:相比基准年,2种情景下未来3个时段典型水文年年径流量均减小,丰水年在2种情景下的减幅分别为26%~42%和25%~35%,平水年的减幅为23%~37%和21%~25%,枯水年的减幅为23%~38%和20%~31%;2种情景下未来3个时段典型水文年内的月径流量分配趋势与基准年大致相同,且月径流量的变化特征与降水量的变化基本一致,径流量在月峰值处的变化幅度较大,在其他月份变幅较小;A2情景下,3个时段的丰水年月径流量在8月份减幅分别为41%、43%和61%,平水年月径流量在7月份减幅依次为15%、23%和38%,枯水年的月径流量在6月份减幅依次为20%、36%和46%;B2情景下,3个时段的丰水年月径流量在8月份减幅分别为34%、37%和56%,平水年月径流量在7月份减幅依次为15%、23%和38%,而在2月份的径流量分别从17.71 m3/s增加到24.93、38.79、63.63 m3/s,枯水年的月径流量在6月份减幅依次为24%、31%和28%;2种情景下,丰水年的径流量年内分配不均匀系数从1.06分别减小到0.71和0.74,年内分配不均匀程度降低,而平水年及枯水年的径流量年内分配不均匀系数变化较小;对比2种情景,无论是典型年的年径流量还是各月径流量,其在各时段的变化趋势基本一致,且变幅相差不大。 | 降亚楠 王蕾 魏晓妹 丁星臣 | 2017 | 农业机械学报2017,48,2: | 14 |
| 2 | Uncertainty analysis of hydrological model parameters based on the bootstrap method:A case study of the SWAT model applied to the Dongliao River Watershed,Jilin Province,Northeastern China显示文摘As an important tool for the description and analysis of hydrological processes,the watershed hydrological model has been increasingly applied to watershed hydrological simulations and water resource management.However,in most cases,model parameters are only determined in a calibration scheme which fits the modeled data to observations,thus significant uncertainties exist in the model parameters.How to quantitatively evaluate the uncertainties in model parameters and the resulting uncertainty impacts on model simulations has always been a question which has attracted much attention.In this study,two methods based on the bootstrap method(specifically,the model-based bootstrap and block bootstrap)are used to analyze the parameter uncertainties in the case of the SWAT(Soil and Water Assessment Tool)model applied to a hydrological simulation of the Dongliao River Watershed.Then,the uncertainty ranges of five sensitivity parameters are obtained.The calculated variation coefficients and the variable parameter contributions show that,among the five parameters,ESCO and CN2 have relatively high uncertainties:the variation coefficients and contribution rates are 23.98 and 70%,14.43 and 18%,respectively.The three remaining parameters have relatively low uncertainties.We compare the two uncertainty ranges of parameters acquired by the two bootstrap methods,and find that the uncertainty ranges of parameters acquired by the block bootstrap are narrower than those acquired by the model-based bootstrap.Further analysis of the effects of parameter uncertainties on the model simulation reveals that the parameter uncertainties have great impacts on results of the model simulation,and in the model calibration stage 60%70%of runoff observations were within the corresponding 95%confidence interval.The uncertainty in the model simulation during the flood season(i.e.the wet period)is relatively higher than that during the dry season. | ZHANG Zheng LU WenXi CHU HaiBo CHENG WeiGuo ZHAO Ying | 2014 | Science China(Technological Sciences)2014,57,1: | 9 |
| 3 | 吉林省湿地调蓄洪水功能价值动态评估显示文摘【目的】动态评估吉林省的湿地调蓄洪水功能价值,为吉林省的湿地安全及湿地环境管理提供理论支撑。【方法】通过机会成本法对吉林省2013、2017年的湿地调蓄洪水功能价值进行对比和评估,分析不同类型湿地及各市的湿地调蓄洪水功能价值变化。【结果】2013和2017年吉林省湿地调蓄洪水功能的总价值分别为2910.10亿元和2685.49亿元,受湿地面积降低的影响,2017年比2013年减少了224.61亿元,对应减少比例为7.72%。在吉林省各市中,湿地调蓄洪水功能价值增加最大的为吉林市(157.47亿元),降低最大的为松原市(−218.77亿元)。虽有部分城市的洪水调蓄功能价值上涨,但吉林省湿地调蓄洪水功能价值整体呈下降状态,而且各市的湿地调蓄洪水功能价值的单位面积(每公顷湿地面积)和人均拥有量均有所变化。在各湿地类型的调蓄洪水功能价值中,沼泽湿地由2013年的510.97亿元增加至2017年的777.60亿元,是唯一增加的湿地类型,而人工湿地、河流湿地和湖泊湿地这3种湿地类型均有所下降。【结论】相比2013年,2017年吉林省的湿地调蓄洪水功能价值整体呈下降趋势,各市和各类湿地的单位面积和人均的湿地调蓄洪水功能价值有明显的地域差异。 | 王泽成 赵欣胜 崔丽娟 马琼芳 蔡杨 左雪燕 陆韵茜 窦志国 雷茵茹 李伟 | 2023 | 陆地生态系统与保护学报2023,3,4: | 0 |