考虑记忆时间的LSTM模型在赣江流域径流预报中的应用

在气候变化条件下,准确的径流预测对水资源的规划与管理十分重要。本文基于长短时记忆神经网络(LSTM)模型,采用赣江流域外洲、峡江以及栋背水文站的逐日流量以及CN05.1日降水数据构建3个不同面积流域的径流预测模型,并通过设置不同情景分析:模型的有效预见期与不同流域平均产汇流时间之间的关系,有效预见期内LSTM径流预测模型精度与记忆时间之间的关系,不同长度的预见期与模型最佳记忆时间之间的关系,同时探讨LSTM径流预测所需的记忆时间与流域面积的关系。结果表明:(1)综合考虑降水和前期径流情景下的径流预测效果最好,当预见期为1 d时,外洲、峡江、栋背站的纳什效率系数(NSE)分别可达0.98、0.96以及0.90;且其有效预见期与仅考虑降水信息的有效预见期相同,均与流域平均产汇流时间相近。(2)随着预见期的延长,不同情景下的预测精度均有不同程度的下降,其中仅考虑前期径流情景的下降率最大,说明降水信息较前期径流对径流预测效果的提升更重要。同时,随着流域面积的增加,相同预见期内径流预测精度均有所提升。(3)当预见期相同时,随记忆时间的延长,不同径流预测模型的预测精度均先上升至最高,接着具有下降趋势,最后逐渐趋于稳定。且在有效预见期内,随着预见期的延长,最佳记忆时间均有增大趋势,当达到最长的有效预见期时,对应的最佳记忆时间均为14 d。此外,在赣江流域的模拟结果表明,随着流域面积的增大,LSTM的最佳记忆时间减小。研究结果可为赣江流域的径流预报提供参考,同时有助于推求其他流域采用机器学习进行径流预测所需的最佳记忆时间。     

淮河流域径流过程变化时空特征及成因

径流变化特征及成因研究对于农业灌溉、流域水资源配置与管理等具有重要理论与现实意义,而淮河流域是我国重要农业区,因而淮河流域径流过程特征及机理研究更突显其重要性.利用非参数Mann-Kendall趋势检验和小波转换等方法系统分析了淮河中上游息县、王家坝和蒋家集等9个水文站点径流资料,分析淮河流域中上游径流年内分配、年际变化、径流趋势、突变特征及周期变化等径流过程变化特征,并探讨了径流变化特征的成因.研究发现:(1)淮河中上游径流量主要集中于5-9月,约占年径流总量的70.37%,变差系数介于0.16~0.85之间,径流年际极值比则介于1.7~23.9之间,径流年际变化剧烈;(2)淮河中上游径流量整体呈下降趋势,尤其是4-5月径流下降趋势显著,季节变化不明显;(3)各站点年径流量在2000s呈显著周期变化,班台、王家坝、鲁台子和蚌埠站在该尺度上存在2.0~3.4 a尺度的小周期,息县、潢川和蒋家集站处于高能区.季节和汛期与非汛期的显著周期集中出现在1960s、1980s和2000s,1960s周期主要为2~8a.(4)潢川站年径流量对气候因子的响应最为明显,其对混合ENSO指数和太平洋中高纬年代际振荡指数(PDO)的响应分别通过了95%和99%的显著性检验.PDO对各站点月径流的直接影响最为显著,且主要集中在6月份,多呈显著负相关关系,以班台站最为显著,分别在1、4和6月通过了95%的显著性检验.南方涛动指数、北大西洋涛动指数和Nino3.4区海表温度距平指数(Nino3.4)对研究区月径流量的响应存在显著滞后性,Nino3.4对研究区月径流量滞后期的影响主要发生在潢川和蒋家集站,而北极涛动指数和PDO指数无滞后性响应.     

东江流域典型子流域土地利用/覆被变化对地表径流影响

应用SWAT模型对东江上中下游典型流域的地表径流进行模拟,采用1977 - 1981年和1996-2000年胜前、顺天和九州三个出口控制站逐月实测径流资料进行模型校准和验证,确定模型的敏感性参数,采用相关系数R2和Nash-Suttclife模型效率系数ENS,对SWAT模型模拟结果进行评价,结果显示模拟精度较高,R2...     

海平面对大气压变化的空间响应

海平面对大气压变化的响应在理想情况下接近均衡态海洋响应.在这个假设下,任何海域的大气压变化都会瞬时传播到整个海洋上.通过比较大气压和海平面变化的标准差,可以发现,在空间尺度上,大气压变化主要是长波信号,而海平面变化除了长波信号外,还存在明显的短波长信号.由大气压变化驱动的海平面变化应与大气压变化在空间尺度上具有一致性.因此,可以对海平面数据进行空间高斯低通滤波,来得到与大气压变化更相近的空间标准差分布.通过阶振幅谱分析,表明海平面对大气压变化响应的空间尺度为800 km.     

Climate change and runoff response based on isotope analysis in an arid mountain watershed of the western Kunlun Mountains

Climate change and runoff response were assessed for the Tizinafu River basin in the western Kunlun Mountains, China, based on isotope analysis. We examined climate change in the past 50 years using meteorological data from 1957 to 2010. Results of the Mann-Kendall non-parametric technique test indicated that temperature in the entire basin and precipitation in the mountains exhibited significant increasing trends. Climate change also led to significant increasing trends in autumn and winter runoff but not in spring runoff. By using 122 isotope samples, we investigated the variations of isotopes in different water sources and analysed the contributions of different water sources based on isotope hydrograph separation. The results show that meltwater, groundwater and rainfall contribute 17%, 40% and 43% of the annual streamflow, respectively. Isotope analysis was also used to explain the difference in seasonal runoff responses to climate change. As the Tizinafu is a precipitation-dependent river, future climate change in precipitation is a major concern for water resource management.

EDITOR A. Castellarin; ASSOCIATE EDITOR S. Huang     

Recognition method for mid‐ to long‐term runoff forecasting factors based on global sensitivity analysis in the Nenjiang River Basin

Mid‐ to long‐term runoff forecasting is important to China. Forecasting based on physical causes has become the trend of this field, and recognition of key factors is central to recent development. Here, global sensitivity analysis based on back‐propagation arithmetic was used to calculate the sensitivity of up to 24 factors that affect runoff in the Nenjiang River Basin. The following five indices were found to be key factors for mid‐ to long‐term runoff forecasting during flood season: Tibetan Plateau B, index of the strength of the East Asian trough, index of the area of the northern hemisphere polar vortex, zonal circulation index over the Eurasian continent and index of the strength of the subtropical high over the western Pacific. The hydrological climate of the study area and the rainfall–runoff laws were then analysed in conjunction with its geographical position and topographic condition. The rationality of the results can be demonstrated from the positive analysis point of view. The results of this study provide a general method for selection of mid‐ to long‐term runoff forecasting factors based on physical causes. Copyright © 2012 John Wiley & Sons, Ltd.     

极端降雨事件对南方红壤区径流和输沙的影响——基于赣江支流濂江上游流域的长序列分析(1984—2020年)

为探究极端降雨对南方红壤区流域水沙的影响,本文基于江西省鄱阳湖水系赣江上游濂江流域1984—2020年逐日降雨量、径流量和输沙量数据,使用95百分位法计算极端降雨,并采用最小事件间隔时间法分割降雨事件,综合应用Pettitt检验和线性回归方法对水沙突变、影响因子进行定量分析。结果表明:(1)发生极端降雨事件的时期是流域泥沙输出的关键时期,极端降雨对输沙量的贡献率达85.58%～87.79%,而对径流量的贡献为38.33%～43.42%。(2)在极端降雨情景下,年径流量从1984—1995年的209.21×10⁶ m³下降到1996—2020年的165.23×10⁶ m³,而年输沙量从1984—1995年的3.65×10⁴ t增加到1996—2020年的12.8×10⁴ t,相比于1984—1995年,1996—2020年的极端降雨所产生的径流量和输沙量占比有缩小趋势,分别表现为从43.42%到38.33%和从87.79%到85.58%。(3)极端降雨情景下...     

Modeling the runoff and glacier mass balance in a small watershed on the Central Tibetan Plateau,China, from 1955 to 2008

The glaciers on Tibetan Plateau play an important role in the catchment hydrology of this region. However, our knowledge with respect to water circulation in this remote area is scarce. In this study, the HBV light model, which adopts the degree‐day model for glacial melting, was employed to simulate the total runoff, the glacier runoff and glacier mass balance (GMB) of the Dongkemadi River Basin (DRB) at the headwater of the Yangtze River on the Tibetan Plateau, China. Firstly, the daily temperature and precipitation of the DRB from 1955 to 2008 were obtained by statistical methods, based on daily meteorological data observed in the DRB (2005–2008) and recorded by four national meteorological stations near the DRB (1955–2008). Secondly, we used 4‐year daily air temperature, precipitation, runoff depth and monthly evaporation, which were observed in the DRB, as input to obtain a set of proper parameters. Then, the annual runoff, the glacier runoff and GMB (1955–2008) were calculated using the HBV model driven by interpolated meteorological data. The calculated GMB fits well with the observed results. At last, using the temperature and precipitation predicted by climate models, we predicted the changes of runoff depth and GMB of the DRB in the next 40 years. Under all climate‐change scenarios, annual glacier runoff shows a significant increase due to intensified ice melting. Copyright © 2011 John Wiley & Sons, Ltd.     

Relative effects of human activities and climate change on the river runoff in an arid basin in northwest China

Understanding the mechanisms of river runoff variation is important for the effective management of water resources in arid and semi‐arid regions. This study uses long‐term observational data as a basis for examining the effects of human activities and climate change on the runoff variation of Jinghe River Basin, a typical arid inland basin in northwest China. A distributed hydrological model called the Soil and Water Assessment Tool, combined with a sequential cluster method and a separation approach, was used to quantify and distinguish the effects of human activities and climate change on runoff. The hydrological sequence before 1981 can be considered natural. However, human activities have significantly affected runoff since 1981. The runoff reduction caused by human activities between 1981 and 2008 accounted for 85.7% of the total reduction in the downstream of Jinghe River, whereas that caused by climatic variation was only 14.3%. This observation suggests that human activities are the major driver of runoff variation in the basin. Although the role of climate change in driving runoff variation has been identified to be prevalent and dominant in arid regions, this study highlights the importance of human activities. Copyright © 2013 John Wiley & Sons, Ltd.     

基于双源蒸散和混合产流的分布式水文模型构建及应用--以辽河老哈河流域为例

以北方半干旱地区的辽河老哈河流域为研究对象,采用网格离散化方法进行水文模拟单元划分,利用具有物理基础的双源蒸散发能力估算模型,计算每个栅格单元的截留蒸发、植被蒸腾能力和土壤蒸发能力,并取代蒸发皿资料作为混合产流模型的蒸散发能力输入,从而构建摹于双源蒸散与混合产流的分布式水文模型,并对老哈河流域1970-1979年的日径...     

平凉C11井水位异常变化的地震前兆信息分析

着重分析1998年以来平凉C11井水位在西海固一平凉地区5次Ms〉4．0地震前的异常特征。通过分析得到的认识是，该井水位在Ms4．0以上地震前大都存在0．5a以上的趋势异常和年变规律的变化，震前1～2个月出现较丰富的短临前兆信息，如水位固体潮畸变、日潮差波幅增大、阶跃等微动态异常，这些分析结果曾在地震预报实践中发挥较好的作用。     

Temporal trends of hydro‐climatic variables and runoff response to climatic variability and vegetation changes in the Yiluo River basin,China

The Yiluo River is the largest tributary for the middle and lower reaches of the Yellow River below Sanmenxia Dam. Changes of the hydrological processes in the Yiluo River basin, influenced by the climatic variability and human activities, can directly affect ecological integrity in the lower reach of the Yellow River. Understanding the impact of the climatic variability and human activities on the hydrological processes in the Yiluo River basin is especially important to maintain the ecosystem integrity and sustain the society development in the lower reach of the Yellow River basin. In this study, the temporal trends of annual precipitation, air temperature, reference evapotranspiration (ET₀) and runoff during 1961–2000 in the Yiluo River basin were explored by the Mann‐Kendall method (M‐K method), Yamamoto method and linear fitted model. The impacts of the climatic variability and vegetation changes on the annual runoff were discussed by the empirical model and simple water balance model and their contribution to change of annual runoff have been estimated. Results indicated that (i) significant upwards trend for air temperature and significant downwards trend both for precipitation and ET₀ were detected by the M‐K method at 95% confidence level. And the consistent trends were obtained by the linear fitted model; (ii) the abrupt change started from 1987 detected by the M‐K method and Yamamoto method, and so the annual runoff during 1961–2000 was divided into two periods: baseline period (1961–1986) and changeable period (1987–2000); and (iii) the vegetation changes were the main cause for change of annual runoff from baseline period to changeable period, and climatic variability contributed a little to the change of annual runoff of the Yiluo River. Copyright © 2009 John Wiley & Sons, Ltd.     

Effect of rainfall uncertainty on the performance of physically based rainfall–runoff models

This paper analyses the effect of rain data uncertainty on the performance of two hydrological models with different spatial structures: a semidistributed and a fully distributed model. The study is performed on a small catchment of 19.6 km² located in the north‐west of Spain, where the arrival of low pressure fronts from the Atlantic Ocean causes highly variable rainfall events. The rainfall fields in this catchment during a series of storm events are estimated using rainfall point measurements. The uncertainty of the estimated fields is quantified using a conditional simulation technique. Discharge and rain data, including the uncertainty of the estimated rainfall fields, are then used to calibrate and validate both hydrological models following the generalized likelihood uncertainty estimation (GLUE) methodology. In the storm events analysed, the two models show similar performance. In all cases, results show that the calibrated distribution of the input parameters narrows when the rain uncertainty is included in the analysis. Otherwise, when rain uncertainty is not considered, the calibration of the input parameters must account for all uncertainty in the rainfall–runoff transformation process. Also, in both models, the uncertainty of the predicted discharges increase in similar magnitude when the uncertainty of rainfall input increase.     

基于岩石声发射实验结果探讨地震活动状态变化的预测意义

根据室内岩石破裂实验声发射结果, 论证了地震非均匀度参数(GL值)在识别声发射活动状态变化的有效性, 同时也考察了状态变化参量计算结果的稳定性。 在此基础上, 借用前苏联地震学家Mjachkin等提出的地震孕育至发生的雪崩不稳定裂隙形成模式, 探讨了部分强地震孕育过程中, 区域地震活动由无序到有序状态变化的可能形成机理。 利用地震状态参数, 即地震非均匀度(GL值)尝试开展了对我国未来一个时期地震大形势的定量分析预测。     

Projection of runoff characteristics as a response to regional climate change in a Central/Eastern European catchment

ABSTRACT

The impact of climate change on runoff characteristics is investigated for the Upper Tisza basin, in eastern Central Europe. For a reliable estimation of uncertainty, an appropriate stochastic weather generator is embedded into a Monte Carlo cycle capable of generating any large number of independent, equally probable, 100-year-long daily sequences of synthetic data with which a hydrological model is driven in order to obtain the hydrological responses to the meteorological data sequences. According to our results, a decrease of daily average runoff is likely to occur in the future in the Upper Tisza basin, especially in July and August. The occurrence of water levels below the critical low level is estimated to increase between July and October. Level-3 flood warnings are projected to be less frequent in the future; however, they will tend to be more severe than in the historical period.     

基于长短时记忆神经网络的鄱阳湖水位预测

湖泊水位是维持其生态系统结构、功能和完整性的基础.鄱阳湖受流域"五河"和长江来水双重影响,水位变化复杂.为了准确预测鄱阳湖水位变化,采用长短时记忆神经网络方法(LSTM)构建了鄱阳湖水位预测模型.该模型以赣江、抚河、信江、饶河和修水"五河"入湖流量和长江干流流量作为输入条件,预测鄱阳湖湖区不同代表站(湖口、星子、都昌、吴城和康山)的水位过程.研究以1956—1980年的水文时间序列数据作为训练集,1981—2000年作为验证集,探讨了LSTM模型输入时间窗、隐藏神经元数目、初始学习率等模型参数对预测精度的影响,并确定了鄱阳湖水位预测模型的最优参数.结果表明,采用LSTM神经网络方法可基于流域"五河"和长江来水量历时数据合理预测鄱阳湖不同湖区的水位过程,五站水位预测的均方根误差为0.41～0.50 m,纳什效率系数和决定系数达0.96～0.98.为考察模型训练数据集对鄱阳湖水位预测结果的影响,进一步选取了随机5年(1956—1960年)的资料和5个典型水文年(1954年、1973年、1974年、1977年和1978年)的日均流量资料来训练模型.结果显示随机5年资料作为训练数据的预测精度要...     

基于BTOPMC模型的土地覆被变化径流响应模拟

为分析土地覆被变化的水文效应.构建4种土地覆被情景,采用BTOPMC模型对淮河流域黄泥庄集水区1982-1986年的日径流过程进行模拟.结果表明,土地覆被变化对蒸散发量和径流量计算影响显著,与现状覆被情景的模拟结果相比,森林覆被情景蒸散发量增加,径流量减少,而林地草原和耕地覆被情景下情况相反,且各土地覆被变化情景下枯季径流深的变化幅度明显小于雨季的变化幅度.该模型能较好地分析和评价土地覆被变化下的径流响应.     

钢筋混凝土剪力墙结构基于自平衡力的非线性地震反应分析

本文简要评述了现有钢筋混凝土剪力墙的非线性分析模型，着重介绍了多竖线单元模型，并对其竖向单元的轴向刚度和水平弹簧的剪切刚度分别建议了改进的滞变模型，最后将基于自平衡力的非线性动力反应分析方法应用于求解剪力墙结构的非线性地震反应，并用传统分析方法对其结果进行了检验，表明该分析方法计算简便，而且是有效和可靠的。     

云南宁洱井低水位异常分析及地震预测

宁洱井的水位自2014年10月25日以来持续下降39.2cm,低于正常水位谷值8.335m,2015年的年变幅度为正常年变的57.8%,呈破年变现象。经现场调查,发现周围观测环境干扰小,水位变化量相对可靠;通过分析水位与降雨量的相关性,以及GNSS监测网的位移资料,认为持续低水位异常与降雨量关系不大,属于地震前兆异常,其原因可能与该区域构造的拉张活动有关。总结地震前兆异常的地震活动规律,认为该异常可能对近期滇西南-滇缅交界地区中强地震危险性有指示意义。