JDZ02-1型翻斗式雨量计比测试验分析

水文自动测报技术装备和系统,JDZ02-1型翻斗式雨量计和传统虹吸式雨量计相比具有自动化程度高、操作简单且传输方便节省人力。通过对癿藏水文站两种仪器同步实测降雨资料比测分析得出:虹吸式雨量计与JDZ02-1型翻斗式雨量计所观测数据两个系列相关程度高,经分析误差符合翻斗雨量计使用要求。JDZ02-1型翻斗式雨量计可代替虹吸式雨量计广泛使用。     

大小双翻斗组合式雨量计的研发与应用

受变化雨强影响,高分辨率翻斗式雨量计有较大的误差。为解决这个难题,研究人员提出了很多提高精度措施,然而,增加的组件会影响翻斗式雨量计的稳定性,致使故障率升高。在充分研究大、小翻斗式雨量计误差来源的基础上,研究开发出上小下大双层翻斗组合式雨量计,内置控制器实时监测大、小翻斗信号,再进行综合逻辑比较输出高精度校准雨量值。组合式雨量计灵敏度高、蒸发误差小、测量精度不受降雨强度影响,高分辨率与高精度有机融合。室内试验成果和野外比测结果表明,大小双翻斗组合式雨量计在监测0.01～4mm/min雨强降雨时,测量误差小于±2%。     

JSP-1型虹吸校正翻斗雨量计研制与特点

翻斗式雨量计因雨强影响会产生很大的误差,虹吸雨量计不能数字化降雨过程,并需要人工测量虹吸水量进行虹吸订正.本研究成果利用翻斗计量降雨过程,用精确的虹吸计量值智能校正翻斗的误差,综合了翻斗计量和虹吸计量的优点,将分辨率为0.1mm的翻斗雨量计的测量误差从±15%减小到±2%.因此,JSP-1型虹吸校正翻斗雨量计具有很高的精度.     

基于多类型雨量计的降雨特性分析

为提高对降雨特性的认识,选择常用的6种测雨设备（翻斗式SL3-1、JDZ05、RG-3,称重式Pluvio2,雨滴谱仪Parsivel2和非计数式JQH-1）,成对布设在南京水利科学研究院滁州水文实验基地的同一个实验场地,同步观测了2019年4月1日至8月31日为期5个月的降雨过程。比测分析得到：在中大雨条件下（日雨量≥ 10 mm）,SL3-1和JDZ05测的降雨总量能够满足4%误差控制要求,RG-3、Pluvio2和Parsivel2测的降雨量比JQH-1测值小4%;在小雨条件下（日雨量<10 mm）,翻斗式和称重式雨量计的测量值小于JQH-1测值的4%;SL3-1、RG-3、Pluvio2、Parsivel2测得雨强≤ 0.1 mm/min的频率大于75%,雨强≤ 0.2 mm/min条件下的雨量累积比重大于50%;Pluvio2和Parsivel2监测的降雨开始时间比SL3-1分别早0.5 h和2 h以上,而结束时间分别晚0.5 h和2 h以上。比测结果有助于研究人员选择合适的测量设备获取所关注的降雨特性。     

基于多类型雨量计的降雨特性分析

为提高对降雨特性的认识,选择常用的6种测雨设备（翻斗式SL3-1、JDZ05、RG-3,称重式Pluvio2,雨滴谱仪Parsivel2和非计数式JQH-1）,成对布设在南京水利科学研究院滁州水文实验基地的同一个实验场地,同步观测了2019年4月1日至8月31日为期5个月的降雨过程。比测分析得到:在中大雨条件下（日雨量≥ 10 mm）,SL3-1和JDZ05测的降雨总量能够满足4%误差控制要求,RG-3、Pluvio2和Parsivel2测的降雨量比JQH-1测值小4%;在小雨条件下（日雨量 < 10 mm）,翻斗式和称重式雨量计的测量值小于JQH-1测值的4%;SL3-1、RG-3、Pluvio2、Parsivel2测得雨强≤ 0.1 mm/min的频率大于75%,雨强≤ 0.2 mm/min条件下的雨量累积比重大于50%;Pluvio2和Parsivel2监测的降雨开始时间比SL3-1分别早0.5 h和2 h以上,而结束时间分别晚0.5 h和2 h以上。比测结果有助于研究人员选择合适的测量设备获取所关注的降雨特性。     

降雨发生装置空间均匀性的研究

为提高降雨发生装置的空间均匀性,对通过测试平台旋转提高降雨场空间均匀性的方法进行研究,设计、研制了旋转测试平台,解决了旋转过程中的信号传输问题,建立了转速与降雨发生装置空间均匀性之间的关系,结合翻斗式雨量计在降雨场中的测试与流量式雨量雨强标准装置的测试,论证了降雨发生装置作为雨量和雨强的测试环境是可行的。结果表明,随着转台转速的增加,降雨场的空间均匀性先增大后减小,且随着测试面积的减小,不同转速呈现出不一样的变化趋势,转台转速为1 RPM时,测试面积为1.6 m×1.6 m和1.2 m×1.2 m时,其均匀度系数最大(95%);随着测试平台转速的增加,翻斗式雨量计累积降雨量和降雨强度之间的一致性增强,在转速为1 RPM和2 RPM时,翻斗式雨量计累积降雨量的最大偏差最小,为0.2 mm;流量式雨量雨强标准装置测试的累积降雨量的平均值与旋转测试平台在转速为1 RPM和2 RPM时测得的结果一致,充分说明通过旋转式测试工作平台可得到与流量式雨量雨强标准装置相一致的结果,证明了该方法提高降雨发生装置空间均匀性是可行的,且能得到累积降雨量的动态测量误差。     

JDZ1翻斗式自动雨量计雨量误差对比试验研究

近年来,国家相继投资在甘肃省建成了中小河流山洪预警预报系统工程,在防汛抗旱减灾中发挥着重要作用。为了解JDZ1翻斗式自动雨量计在降水量采集、传输及其精度和仪器稳定性等方面情况,选用黄河流域一级支流洮河、大夏河具有代表性的19个自动雨量站采集的雨量数据与虹吸式雨量计记录的降水量资料进行对比分析,探求自动雨量计产生误差的原因及解决办法。为准确评价中小河流山洪预警系统雨量站的预警功能提供科学依据。     

黔南州不同雨量观测精度与降水特征值的对比分析

将水文站的虹吸式雨量计全部替换为无人值守的翻斗式遥测雨量计,极大地缩短了降水信息传播时间,但由于翻斗式遥测雨量计分辨率(0.5mm)与虹吸式雨量计分辨率(0.1mm)不同,其观测资料的一致性将受到影响。通过对贵州省黔南州三个水文站各种时段不同观测精度降水特征值的对比,定量分析了其误差范围,可为水文资料的一致性分析提供参考。     

基于诱发机理的降雨型滑坡预警研究——以花岗岩风化壳二元结构斜坡为例

降雨型滑坡是我国主要的滑坡灾害类型,具有区域群集发生的特点,滑坡预警研究是防灾减灾的重要途径。传统的区域降雨型滑坡预报模型多采用统计结果建立降雨参数模型,对降雨诱发机理和斜坡失稳的力学机制考虑不足,预报可靠性和精度有限。本文以花岗岩风化壳地区某典型二元结构斜坡为原型,以实际勘查数据为基础,提取该斜坡结构特征,基于饱和-非饱和渗流理论,分析研究降雨入渗过程和斜坡失稳机制,建立典型斜坡的预警判据。1花岗岩风化壳地区典型二元结构斜坡为类土质斜坡,覆盖土层较厚,剖面上可分为两层,上层为坡积黏性土,土质松散,透水性强,下层为残积黏性土,土质相对致密,透水性较差。2采用不同降雨工况模拟分析降雨入渗过程。以50mm·d-1雨强为例,降雨持时30h以内时,降雨入渗主要集中在上层的坡积黏性土,斜坡前缘优先饱和,滑带开始出现积水现象;降雨持时40～50h时,斜坡表面降水持续入渗,在坡体后缘拉裂缝处,雨水沿着裂缝快速入渗坡体形成静水压力,增加坡体重量,增大下滑力,坡脚渗透路径短,最先饱和破坏,造成斜坡失稳。3监测斜坡不同部位（坡脚、中部、后缘）的孔隙水压力情况,随降雨入渗,斜坡土体孔隙水压力持续增大,由负趋近于零到大于零,斜坡土体由非饱和状态向饱和状态过渡,坡脚最先饱和,中部持续入渗,后缘土体饱和后,裂缝扩大致使大量雨水进入,使本已大量积水的滑带变形错动,斜坡失稳。4模拟分析得到斜坡失稳的不同降雨条件:中雨雨强（10mm·d-1）,历时约13d;大雨雨强（25mm·d-1）,历时约5d;暴雨雨强（50mm·d-1）,历时约2.2d;特大暴雨雨强（100mm·d-1）,历时约1.1d。在暴雨雨强时,降雨对该类斜坡的滞后作用约为5h。最后,建立了该类斜坡的临界降雨判据（I-D曲线）。     

北京“7·20”特大暴雨的时空多要素分析

基于高站点密度的场次降雨数据对2016年7月20日发生在北京地区的特大暴雨过程进行分析,明晰其时空演变过程。主要结论如下:(1)暴雨中心降雨总量在350mm以上,大致呈带状分布,主要位于海拔高度在200~400m范围内的山麓平原,说明地形抬升作用对暴雨的形成有明显的促进作用;(2)暴雨中心处发生的是长历时、高强度的降雨过程,而位于怀柔区和密云区交界处的暴雨副中心处发生的是短历时、高强度的降雨过程;(3)暴雨过程为一小一大的双峰雨型,第二阶段是整个降雨过程的主过程,降雨总量达到184.7mm,与北京"7·21"暴雨的降雨总量基本持平,超过20年一遇标准;(4)随着降雨总量的增加,各站点最大1h雨强呈线性增加的趋势,且最大雨强出现时刻有所提前,随着统计时段的增加,最大降雨总量增加的速率逐渐变缓,可由对数函数进行拟合。     

Inconsistency in rainfall characteristics estimated from records of different rain gauges

The goal of this work is to assess the effect of utilizing different types of tipping bucket rain gauges in investigating rainfall characteristics. A dual tipping bucket (TB) rain gauge station is installed in the upper catchment of Numan basin in Saudi Arabia. The main difference between the two gauges is that the Hydrological Services (HS) gauge is equipped with a siphon tube which reduces undercatchment particularly during heavy rainfall. Records of both gauges for the period 2006 to 2013 are collected, analyzed, and compared, focusing on the characteristics of rainfall events as well as rainfall temporal variability. The HS gauge recorded higher values of total rainfall depth compared to the Texas Electronics (TEMM) gauge. For the individual storms as well as the 5-min rainfall, HS gauge also reported higher mean rainfall depths. Regarding temporal characteristics of reported rainfall, no significant variations are observed between the values of storm duration of the two gauges. The TEMM gauge has the advantage of recoding more storms with depth less than 1 mm. The current study suggests the use of a corrective factor for rainfall record of the TEMM gauge.     

Extreme rainfall events: evaluation with different instruments and measurement reliability

With regard to extreme events, it is well documented that an intensity of about 1 mm/min already represents an extreme intensity. Under alpine conditions, a precipitation event with an intensity of 3 mm/min has occurred. Therefore, the rain gauges in this region have to be able to measure in this and even in higher intensity ranges. This study deals with basic automated tipping-bucket rain (TBR) gauge and Bulk precipitation samplers, which are able to hold more than 95 % of the cumulative rainfall, that are verified within the space of the week without losses during the extreme events and with minimal evaporation loss. Bulk samplers collected more rainfall than TBR gauges in 110 of 221 extreme events analysed over the past 10 years. In 17 extreme events, an underestimation greater than 10 % was evaluated. The objective was to single out the counting errors associated with TBR gauge, during extreme events, so as to help the understanding of the measured differences between instruments in the field. We want to determine whether the automated precipitation gauge can provide a reliable and precise measurement of precipitation with particular interest regarding heavy and extreme events.     

挑坎体型对下游雾化影响的试验研究

以解决挑流消能工在泄洪期间为提高消能率而加重下游雾化问题为目标,探究不同体型挑坎的下游雾化特性。通过水力学模型试验,对典型的非对称舌型坎、标准舌型坎、扭面贴坎和连续坎的下游水舌风分布、下游溅水雨强和不同液滴体积分布以及挑流水舌水力特性与冲刷特性进行了研究。研究表明:① 各种工况下,非对称舌型坎、标准舌型坎、扭面贴坎的下游水舌风风速均大于连续坎。② 对于非对称舌型坎,其溢洪道轴线左侧溅水强度大于右侧,其雨强左右两侧峰值差值最大为5.625 g/(m²·min);对于扭面贴坎,其溢洪道轴线右侧溅水强度更大,其雨强左右两侧峰值差值最大为45.125 g/(m²·min)。③ 随着距离水舌入水点长度增大,大粒径水滴数量和体积占比均剧烈下降;连续坎和舌型坎的挑宽均随着角度的增加而增加;冲坑深度随着角度的减小而增大。④ 在挑坎合适边墙侧设置扭面贴角能改善下游雾化危害,同时适当增加挑角可以减弱下游冲刷破坏。     

降雨入渗条件下非饱和膨胀土边坡原位监测

为了对降雨诱发的非饱和膨胀土边坡失稳的机理有较深入的了解,在湖北枣阳选取了一个11 m高的典型的非饱和膨胀土挖方边坡进行人工降雨模拟试验和原位综合监测。监测成果表明：降雨入渗造成2 m深度以内土层中孔隙水压力和含水量大幅度增加,致使膨胀土体的抗剪强度由于有效应力的减少及土体吸水膨胀软化而降低;同时,降雨入渗造成土体中水平应力与竖向应力比显著增加,并接近理论的极限状态应力比,以致软化的土体有可能沿着裂隙面发生局部被动破坏,此破裂面在一定条件下（如持续降雨条件下）可能会逐渐扩展,最后发展成为膨胀土中常见的渐进式滑坡。     

Evaluation of rain gauge network in arid regions using geostatistical approach: case study in northern Oman

A geostatistical approach based on ordinary kriging is presented for the evaluation and the augmentation of an existing rain gauge network. The evaluation is based on estimating the percentage of the area that achieves a targeted level of acceptable accuracy. The variances of kriging estimation erros at un-gauged locations were assumed to be normally distributed. Kriging estimation erros with a probability that equals to or exceeds a given threshold value of acceptance probability were assumed to have satisfactory accuracies. The percentage of the area that achieved the targeted probability of acceptance is delineated and used to judge the overall performance of the existing rain gauge network. A study area in northern Oman located in Sohar governorate is selected as the pilot case. The area has 34 rain gauges and it is characterized by a terrain surface that varies from coastal plain to mountains. For a threshold value of 0.85, and 0.90 of acceptance probability, the existing network achieved area of acceptable probability of 88.71 and 77.72 %, respectively. For a success criterion of 80 %, the existing rain gauge network indicated acceptable performance for acceptance probability threshold of 0.85 and inadequate performance is noticed in the case of probability threshold of 0.90, which necessitated further network augmentation. A sequential algorithm for ranking and prioritization of the existing rain gauges is used to classify the existing rain gauges into base and non-base rain gauges. The base rain gauge network for mean annual rainfall comprised about 29 of the existing rain gauges. The identified non-base rain gauges were sequentially relocated to achieve higher levels of percentage of area with acceptable accuracy. The percentage of area with acceptable accuracy increased from 88.71 % for the original rain gauge network to about 94.51 % for the augmented network by adding four rain gages at probability acceptance threshold of 0.85. It also increased from 77.72 % for the existing network to 90.50 % for the augmented rain gauge network at acceptance threshold of 0.9.     

Bias adjustment of satellite-based precipitation estimation using artificial neural networks-cloud classification system over Saudi Arabia

Precipitation is a key input variable for hydrological and climate studies. Rain gauges can provide reliable precipitation measurements at a point of observations. However, the uncertainty of rain measurements increases when a rain gauge network is sparse. Satellite-based precipitation estimations SPEs appear to be an alternative source of measurements for regions with limited rain gauges. However, the systematic bias from satellite precipitation estimation should be estimated and adjusted. In this study, a method of removing the bias from the precipitation estimation from remotely sensed information using artificial neural networks-cloud classification system (PERSIANN-CCS) over a region where the rain gauge is sparse is investigated. The method consists of monthly empirical quantile mapping of gauge and satellite measurements over several climate zones as well as inverse-weighted distance for the interpolation of gauge measurements. Seven years (2010–2016) of daily precipitation estimation from PERSIANN-CCS was used to test and adjust the bias of estimation over Saudi Arabia. The first 6 years (2010–2015) are used for calibration, while 1 year (2016) is used for validation. The results show that the mean yearly bias is reduced by 90%, and the yearly root mean square error is reduced by 68% during the validation year. The experimental results confirm that the proposed method can effectively adjust the bias of satellite-based precipitation estimations.     

Analysis of rainfall preceding debris flows on the Smědavská hora Mt., Jizerské hory Mts., Czech Republic

In August 2010, extreme rainfall affected the north of the Czech Republic and caused regional floods and landslides. Three torrential debris flows originated in the Jizerské hory Mts., close to Bílý Potok on the north slope of the Smědavská hora Mt. The rainfall situation which triggered the debris flow was analyzed and compared with the rainfall situation in 1958 when a debris flow occurred in the same area. The rainfall data were obtained from rain gauges of the Czech Hydrometeorological Institute. Four rain gauges were chosen close to the Smědavská hora Mt. with data of daily amounts from 1983 to 2013 and 10-min intensity or hourly amounts from the specific period. The data from 1958 were available from three different rain gauges (only daily amounts). The data series were not complete so linear regression was applied to interpolate them. A number of analyses were carried out including daily rainfall, 2-day/3-day moving values, antecedent precipitation index (API) of 5/10/30 days, 10-min intensity, and hourly amounts, and the trigger factor of the debris flow in the study area was also investigated. It was determined that for the triggering of debris flows, both high API values as well as high-intensity short-duration rainfall is needed. It was documented that in cases of solely high API indices or high-intensity short-duration rainfalls, no debris flows were initiated.