A quantitative model for danger degree evaluation of staged operation of earth dam reservoir in flood season and its application

Based on the natural disaster risk evaluation mode, a quantitative danger degree evaluation model was developed to evaluate the danger degree of earth dam reservoir staged operation in the flood season. A formula for the overtopping risk rate of the earth dam reservoir staged operation was established, with consideration of the joint effect of flood and wind waves in the flood sub-seasons with the Monte Carlo method, and the integrated overtopping risk rate for the whole flood season was obtained via the total probability approach. A composite normalized function was used to transform the dam overtopping risk rate into the danger degree, on a scale of 0-1. Danger degree gradating criteria were divided by four significant characteristic values of the dam overtopping rate, and corresponding guidelines for danger evaluation are explained in detail in this paper. Examples indicated that the dam overtopping danger degree of the Chengbihe Reservoir in China was 0.33-0.57, within the range of moderate danger level, and the flood-limiting water level （FLWL） can be adjusted to 185.00 m for the early and main flood seasons, and 185.00-187.50 m for the late flood season. The proposed quantitative model offers a theoretical basis for determination of the value of the danger degree of an earth dam reservoir under normal operation as well as the optimal scheduling scheme for the reservoir in each stage of the flood season.

Frequency, Intensity Statistics and Cyclical Analysis of Rainstorm in the Flood Season in Guangzhou

[Objective] The research aimed to analyze the variations of rainstorm frequency, intensity and period in the flood season in Guangzhou. [Method] Based on the daily precipitation data in Guangzhou City during 1951-2010, the interannual and interdecadal variation characteristics of rainstorm in the flood season in recent 60 years were analyzed by using the linear regression analysis, correlation analysis, wavelet analysis and so on. Moreover, the relationship between the rainstorm in the flood season and annual average temperature was analyzed. [Result] In recent 60 years, the rainstorm amount and days in the flood season in Guangzhou respectively increased with 6.23 mm/10 a and 0.27 d/10 a linear trends. The most rainstorm days (rainfall) was in 2001 and was 15 d (1 085.7 mm). There was no rainstorm in the least year (1990). The interannual variations of rainstorm amount and days in the flood season in Guangzhou obviously increased in recent 20 years. The decadal and interannual variations of rainstorm in the prior and latter flood seasons had the difference. The trend in the prior flood season increased and in the latter flood season slightly decreased. The positive correlation between the rainstorm days and the annual average temperature in the flood season in Guangzhou was significant, and the relative coefficient was 0.22, which passed α=0.02 significance level test. The total rainstorm days in the prior flood season in Guangzhou City mainly had 4.2-year interannual and 52.9-year interdecadal periodic variations. The total rainstorm days in the latter flood season mainly had 5.5-year interannual and 18.4-year interdecadal periodic variations. [Conclusion] The research provided the scientific basis for the precipitation forecast in the flood season.

PREDICTION OF FLOOD SEASON PRECIPITATION IN SOUTHWEST CHINA BASED ON IMPROVED PSO-PLS

In order to achieve the best predictive effect of the Partial Least Squares(PLS) regression model, Particle Swarm Optimization(PSO) algorithm is applied to automatically filter the optimal subset of a set of candidate factors of PLS regression model in this study. An improved version of the Particle Swarm Optimization-Partial Least Squares(PSO-PLS) regression model is applied to the station data of precipitation in Southwest China during flood season.Using the PSO-PLS regression method, the prediction of flood season precipitation in Southwest China has been studied. By introducing the precipitation period series of the mean generating function(MGF) extension as an alternative factor, the MGF improved PSO-PLS regression model was also built up to improve the prediction results.Randomly selected 10%, 20%, 30% of the modeling samples were used as a test trial; random cross validation was conducted on the MGF improved PSO-PLS regression model. The results show that the accuracy of PSO-PLS regression model and the MGF improved PSO-PLS regression model are better than that of the traditional PLS regression model.The training results of the three prediction models with regard to the regional and single station precipitation are considerable, whereas the forecast results indicate that the PSO-PLS regression method and the MGF improved PSO-PLS regression method are much better than the traditional PLS regression method. The MGF improved PSO-PLS regression model has the best forecast performance on precipitation anomaly during the flood season in the southwest of China among three models. The average precipitation(PS score) of 36 stations is 74.7. With the increase of the number of modeling samples, the PS score remained stable. This shows that the PSO algorithm is objective and stable. The MGF improved PSO-PLS regression prediction model is also showed to have good prediction stability and ability.

The Operational Forecasting of Total Precipitation in Flood Seasons (April to September) of 5 Years (1983-1987)

Ⅰ.INTRODUCTION We have discovered that there exists a good corresponding relationship between theanomalous axes of soil temperature at a depth of 1.6m in winter (December to February) andprecipitations in following flood season (Tang et al., 1982a). We have also designed a simplethermodynamical model and applied it to the forecasting of precipitations in the flood season(Tang et al., 1982 b,c). The practical forecast started from 1975. Before 1980, however, therewere only 40-50 stations in China for measuring the soil temperature at a 1.6m depth. Since1980, the stations have been increased to a total of about 180, but no available mean valueshad been obtained from newly added stations before 1982. Therefore the analysis and map-ping of anomalies of soil temperature was not performed until 1983, and from then on theprecision of analysis has been greatly improved. The following is the actual situation of forecast in five years from 1983 to 1987.

Characteristics Analysis on Short-Time Heavy Rainfall during the Flood Season in Shanxi Province, China

In order to provide a reference for the correct forecasting of short-term heavy rainfall and better disaster prevention and mitigation services in Shanxi Province, China, it is very important to carry out systematic research on short-term heavy precipitation events in Shanxi Province. Based on hourly precipitation data during the flood season (May to September) from 109 meteorological stations in Shanxi, China in 1980-2015, the temporal and spatial variation characteristics of short-time heavy rainfall during the flood season are analyzed by using wavelet analysis and Mann-Kendall test. The results show that the short-time heavy rainfall in the flood season in Shanxi Province is mainly at the grade of 20 - 30 mm/h, with an average of 97 stations having short-time heavy rainfall each year, accounting for 89% of the total stations. The short-time heavy rainfall mainly concentrated in July and August, and the maximal rain intensity in history appeared at 23 - 24 on June 17, 1991 in Yongji, Shanxi is 91.7 mm/h. During the flood season, the short-time heavy rainfalls always occur at 16 - 18 pm, and have slightly different concentrated time in different months. The main peaks of June, July and August are at 16, 17 and 18 respectively, postponed for one hour. Short-time heavy rainfall overall has the distribution that the south is more than the north and the east less than the west in Shanxi area. In the last 36 years, short-time heavy rainfall has a slight increasing trend in Shanxi, but not significant. There is a clear 4-year period of oscillation and inter-decadal variation. It has a good correlation between the total precipitation and times of short-time heavy rainfall during the flood season.

PRECIPITATION PATTERNS IN FLOOD SEASON OVER CHINA ASSOCIATED WITH THE EL NI■O/SOUTHERN OSCILIATION

The precipitation patterns in flood season over China associated with the EI Nino/Southern Oscillation (ENSO) are investigated, especially in the eastern China, using the rather long period rainfall data in this century. The results show that there were remarkable differences between the precipitation patterns in flood seasons of ENSO warm phase (EI Nino year) and cold phase (La Nina year), as well as between the patterns in EI Nino years and their following you. The most parts of China received below normal rainfall in flood season of the onset years of EI Nino events, but the coastal area of Southeast China received above normal amounts. Comparatively, the most parts of China received above normal rainfall in flood season of the following years of EI Nino events, but the eastern part of the reaches among the Huanghe (Yellow) River, the Huaihe River and the Haihe River, and the Northeast China received less. During ENSO cold phase, the reaches of the Changjiang (Yangtze) River and the North China received more amounts than normal lainfall in flood season of the onset years of in Nina events, and the other regions of China received less. In the following years of La Nina events, the coastal area of the Southeast China, the most part of the Northeast China and the regions between the Huanghe River and the Huaihe River received more precipitation during flood seasons, but the other parts received below normal precipitation.

Climatic Characteristics of Rainstorm during the Flood Season in Shandong Province from 1961 to 2012

Based on daily precipitation data at 35 meteorological observation stations during the flood season in Shandong Province from 1961 to2012,the spatial and temporal variation characteristics of number of rainstorm days and rainstorm intensity were analyzed by conventional statistical methods. The results show that the number of rainstorm days and rainstorm intensity during the flood season in Shandong showed a decreasing trend from 1961 to 2012,but the decreases were not statistically significant at the 0. 05 level. Annual average number of rainstorm days during the flood season in Shandong over the past 52 years was 2.2d and had the changing periods of 3. 4 and quasi-8 a; the annual average rainstorm intensity was 67. 8 mm/d and had the changing periods of 2. 3,3. 3,6. 9 and quasi-12. 0 a. From 1961 to 2012,there was no abrupt climatic change in the number of rainstorm days and rainstorm intensity during the flood season in Shandong,and the number of rainstorm days and rainstorm intensity during the flood season in Shandong reduced from the middle and late 1970 s to the late 1980 s. The annual average number of rainstorm days and rainstorm intensity during the flood season in Shandong from 1961 to 2012 rose gradually from the northwest to the southeast. Rainstorm( continuous rainstorm) during the flood season appeared frequently,and rainstorm intensity was high in the south of Shandong Province,the south and east of Shandong Peninsula.

Application of Wavelet Fractal Dimension Estimation Method on Flood Season Staged

Floodwater utilization is an important content in flood management. Controlling the limit water level of reservoir by stage is one of important contents in the management of multi-purpose reservoir’s floodwater utilization for the sake of more benefits, and reasonable division of stage in flood season is precondition of controlling the limit water level by stage. On the background of Three Gorges Reservoir floodwater utilization management and on the foundation of self-similarity of hydrological series, determining the number of flood season staged in base of conventional statistical method, choosing the Db4 wavelet and Mallat algorithm, the computation mode of wavelet fractal dimension estimation method is proposed and each stage’s fractal dimension is computed, then the final flood season staged is obtained. The results demonstrate the stages of Three Gorges Reservoir determined by using wavelet fractal dimension method are consistent with that from conventional method, but the fractal dimension results by former method are easier, more stable and objective which ensures the feasibility of the wavelet fractal dimension method applying in flood season staged. The obtained results are the base of deep coping with floodwater utilization management, also are the decision-making gist for the flood forecast, flood control and water allocation reasonably of Three Gorges Reservoir.

STUDY ON THE POLLUTION OF URBAN SCENIC WATER BODY BY MUNICIPAL DRAINAGE IN FLOOD SEASON AND ITS CONTROL PLANNING

In this article, based on river quality simulation and system optimization, a water quality model was established for scenic river after rainfall discharge in flood season, with the target of making water pollutants meet the standard in priority and saving expenditure on pollution control. With the principle of reducing sewage from combined sewage pumping station and heavily polluted initial rainwater, a mathematical multiobjective planning model was constructed for rain sewage pollution control in flood season, and one scenic river in a northern city was taken for simulation example. The results show that： the optimization result meets the requirements of planning, among which, sewage reduction from the combined pumping station accounts for 17.38% in the total reduction of rain sewage, and the reduction in the heavily polluted rain water accounts for 77.24% in the total reduction of rainwater pumping station. The planning scheme can provide theoretical basis for pollution control of scenic river in flood season, and for rational reconstruction and layout of outfalls along two banks of the river.

Two new approaches to dividing flood sub-seasons in flood season using the fractal theory

This paper is an attempt to analyze the hydrological phenomena’s non-linearity, randomicity, credibility and similarity. In the same season each year, the flood hydrograph is self-similar and exhibits fractal characteristics. It is an argument about using fractal theory. This paper presents two new approaches to dividing flood sub-seasons by using the fractal theory. Two approaches to calculating fractal dimensions are both the magnitude measurement in the temporal scale and the similarity measurement in the spacial scale. This paper chooses the sample series of the daily maximum discharge in the flood season from 1960 to 2002 at the Zhanghe Reservoir. Both results of the two new approaches to dividing flood sub-seasons by using fractal theory are the same. Both results of dividing flood-periods by using the fractal theory are uniform with the traditional approach. Compared with the traditional approach, fractal approaches have quantitative and objective characteristics and are convenient in calculation, and are widely used in practice.

Analysis of Causes and Seasonal Prediction of the Severe Floods in Yangtze／Huaihe Basins during Summer 1991

The present paper shows that a seasonal prediction for the large scale flooding and waterlogging of the mid-lower Yangtze/ Huaihe River basins in the summer of 1991 made successfully in early April 1991.The seasonal forecasting method and some predictors are also introduced and analyzed herein. Because the extra extent of the abnormally early onset of the plum rain period in 1991 was unexpected,great efforts have been made to find out the causes of this abnormality. These causes are mainly associated with the large scale warming of SST surrounding the south and east part of Asia during the preceding winter,while the ENSO-like pattern of SSTA occurred in the North Pacific.In addition,the possible influence of strong solar proton events is analyzed.In order to improve the seasonal pre4iction the usage of the predicted SOl in following spring/summer is also introduced.The author believes thatthe regional climate anomaly can be correctly predicted for one season ahead only on the basis of physical understanding of the interactions of many preceding factors.

INFLUENCE OF SEA－AIR INTERACTION ON THEDISCHARGE OF FLOOD SEASON IN THEUPPER REACHES OF THE CHANGJIANG RIVER

ＩＮＦＬＵＥＮＣＥＯＦＳＥＡ－ＡＩＲＩＮＴＥＲＡＣＴＩＯＮＯＮＴＨＥＤＩＳＣＨＡＲＧＥＯＦＦＬＯＯＤＳＥＡＳＯＮＩＮＴＨＥＵＰＰＥＲＲＥＡＣＨＥＳＯＦＴＨＥＣＨＡＮＧＪＩＡＮＧＲＩＶＥＲＺｈａｎｇＸｉｎｐｉｎｇ（章新平）（ＬａｎｚｈｏｕＩｎｓｔｉｔｕ...

A Typical Mode of Seasonal Circulation Transition: A Climatic View of the Abrupt Transition from Drought to Flood over the Middle and Lower Reaches of the Yangtze River Valley in the Late Spring and Early Summer of 2011

In this study, the seasonal transition of precipitation over the middle and lower reaches of the Yang-tze River Valley (YRV) from late spring to early summer is investigated. The results show that the seasonal transition of precipitation exhibits multi-modes. One of these modes is characterized by an abrupt transition from drought to flood (ATDF) over the middle and lower reaches of the YRV in the seasonal transition of precipitation. It is shown that the ATDF event from May to June 2011 is simply one prominent case of the ATDF mode. The ATDF mode exhibits an obvious decadal variability. The mode has occurred more frequently since 1979, and its amplitude has apparently strengthened since 1994. From the climatic view, the ATDF mode configures a typical seasonal circulation transition from winter to summer, for which the winter circulations are prolonged, and the summer circulations with the rainy season are built up early over the YRV.

NUMERICAL EXPERIMENTS FOR THE EFFECTS OF TWO MODEL INITIALIZATION SCHEMES ON RAINFALL FORECAST IN THE 2008 FLOODING SEASON

In this paper, based on heavy rain numerical forecast model AREM(Advanced Regional Eta Model), two different initialization schemes, LAPS and GRAPES-3DVAR, are used to run assimilation experiments of AREM-LAPS and AREM-3DVAR with the same data source(NCEP forecast field, surface data and radio-soundings) during the period from 21 May to 30 July 2008 to investigate the effect of the two initialization schemes on the rainfall simulation. The result suggests that:(1) the forecast TS score by the AREM-LAPS is higher than that by the AREM-3DVAR for rainfall in different areas, at different valid time and with different intensity, especially for the heavy rain, rainstorm and extremely heavy rain;(2) the AREM-3DVAR can generally simulate the average rainfall distribution, but the forecast area is smaller and rainfall intensity is weaker than the observation, while the AREM-LAPS significantly improves the forecast;(3) the AREM-LAPS gives a better forecast for the south-north shift of rainfall bands and the rainfall intensity variation than the AREM-3DVAR;(4) the AREM-LAPS can give a better reproduction for the daily change in the mean-rainfall-rate of the main rain band, and rainfall intensity changes in the eastern part of Southwest China, the coastal area in South China, the middle-lower valleys of Yangtze river, the Valleys of Huaihe river, and Shandong peninsula, with the rainfall intensity roughly close to the observation, while the rainfall intensity simulated by the AREM-3DVAR is clearly weaker than the observation, especially in the eastern part of Southwest China; and(5) the comparison verification between the AREM-LAPS and AREM-3DVAR for more than 10 typical rainfall processes in the summer of 2008 indicates that the AREM-LAPS gives a much better forecast than AREM-3DVAR in rain-band area, rainfall location and intensity, and in particular, the rainfall intensity forecast is improved obviously.

Seasonal Prediction Experiments of the Summer Droughts and Floods during the Early 1990′s in East Asia with Numerical Models

It has been shown by the observed data that during the early 1990′s, the severe disastrous climate occurred in East Asia. In the summer of 1991, severe flood occurred in the Yangtze River and the Huaihe River basin of China and in South Korea, and it also appeared in South Korea in the summer of 1993. However, in the summer of 1994, a dry and hot summer was caused in the Huaihe River basin of China and in R. O. K.. In order to investigate the seasonal predictability of the summer droughts and floods during the early 1990′s in East Asia, the seasonal prediction experiments of the summer droughts and floods in the summers of 1991-1994 in East Asia have been made by using the Institute of Atmopsheric Physics-Two-Level General Circulation Model (IAP-L2 AGCM), the IAP-Atmosphere/Ocean Coupled Model (IAP-CGCM) and the IAP-L2 AGCM including a filtering scheme, respectively. Compared with the observational facts, it is shown that the IAP-L2 AGCM or IAP-CGCM has some predictability for the summer droughts and floods during the early 1990′s in East Asia, especially for the severe droughts and floods in China and R. O. K.. In this study, a filtering scheme is used to improve the seasonal prediction experiments of the summer droughts and floods during the early 1990′s in East Asia. The predicted results show that the filtering scheme to remain the planetary-scale disturbances is an effective method for the improvement of the seasonal prediction of the summer droughts and floods in East Asia.

Precipitation Change and Agricultural Drought and Flood Degrees during Crop Growth Season in Binzhou City

[Objective]The research aimed to analyze precipitation change and agricultural drought and flood degrees during crop growth season in Binzhou.[Method]Based on monthly rainfall and average temperature data at Binzhou meteorological observatory during March-November of1981-2010,by using linear regression,climatic tendency rate and dry-wet coefficient,precipitation change and agricultural drought and flood degrees during crop growth season of the past 30 years in Binzhou were analyzed from natural precipitation tendency change and satisfaction degree of agricultural water demand during crop growth season.[Result]In the past 30 years,precipitation during growth season in Binzhou presented increasing tendency.Spring,summer and autumn precipitation all increased somewhat,especially summer precipitation.Monthly average rainfall distribution was very uneven,and rainfall in July and August was more.In the past 30 years,average dry-wet coefficient K value during crop growth season in Binzhou was 0.60,it overall belonged to moderate drought climate type,and occurrence frequency of drought was 97%.It belonged to serious drought climate type in spring and autumn and light drought climate type in summer.Dry-wet coefficient presented rising tendency,illustrating that climate was developing toward wet direction.Seen from mean over the years,except humid in July,it was over light drought in other months.[Conclusion]Climate was overall arid during crop growth season in Binzhou,but precipitation somewhat increased in the past 30 years.Therefore,we suggested that artificial rainfall work should be enhanced.

氮磷钾配施对茉莉花产量及花汛期的影响

为了探寻氮磷钾配施最佳方案,为茉莉花科学施肥提供参考,选择立地条件具有区域代表性的地块为试验地,以试验地原有种植的树龄15年的广西壮族自治区横州市主栽品种横州市双瓣茉莉为供试材料,采用“3414”试验设计开展施肥效应试验,研究氮磷钾配施对横州市茉莉花产量及花汛的影响,以明晰横州市茉莉花种植区域环境条件下鲜花产量对氮磷钾的需求差异,为茉莉花科学施肥及鲜花增产提供理论依据。结果表明:(1)广西横州市茉莉花种植试验地的土壤养分对横县双瓣茉莉生产而言,速效氮含量过剩,而有效磷和速效钾处于中等偏低水平;(2)在氮磷钾3种肥料的互作效应中,磷肥和钾肥的互作效应最高,其次为氮磷钾肥和氮钾肥的互作效应;(3)不同的施肥处理的茉莉花日产量消长同步,不同氮磷钾配施对茉莉花花汛期的影响不显著;(4)在茉莉花的稳定花期(6—9月)中,各月均有花汛期出现,其中,7月平均日产量最高,8月平均日产量最稳定;(5)氮磷钾配施对茉莉花产量有显著影响,影响由大到小为磷肥>钾肥>氮肥;(6)本研究中,三元二次方程拟合不成功,一元二次方程方面仅有N的效应方程拟合成功,P、K的效应方程均拟合失败,而在二元二次方程中,NP、NK、PK的3个效应方程均拟合成功;对拟合成功的方程进行求解,排除实际操作中无法达到的施肥量,综合考虑试验地土壤速效氮含量过剩及减少种植户的投资成本等因素,推荐施肥方式及施肥量为磷肥393.64 kg/hm^(2),钾肥381.59 kg/hm^(2)。

近50年滇池流域汛期降水时空演变特征分析

以滇池流域1970—2020年汛期(5—10月)降水量资料为依据,利用地理信息技术,采用Mann-Kendall检验法、小波分析等方法,分析近50年来滇池流域汛期降水年际变化的趋势性、周期性以及集中度、集中期、降水中心和旱涝发生频率等演变特征。结果表明:(1)近50年来,滇池流域汛期降水总体呈减少趋势,中部地区降水呈增加趋势,盘龙江上游的松华坝水库以上区域及南部地区降水呈减少趋势;(2)汛期降水年际变化存在31 a的主周期,中部主城区降水集中度高于南部地区;(3)汛期降水的中心整体呈现向东部、南部方向偏移的态势,且移动趋势显著;(4)滇池流域旱涝频发,尤其盘龙江中段昆明主城区为旱涝多发区。该成果对滇池流域水旱灾害防御及水资源管理具有参考意义。

鄂尔多斯盆地二叠系盒8段河流扇沉积模式及勘探意义

根据野外露头及岩心的分析化验资料,在源-汇系统分析的基础上,对鄂尔多斯盆地二叠系盒8段的古气候环境及沉积相特征进行了详细研究。研究结果表明:(1)鄂尔多斯盆地二叠系盒8段Sr/Cu的值多大于10,V/Cr值多小于2.0,地层厚度差小于30 m,未出现明显的突变,古沉积坡度为0.5°~1.0°,古地貌开阔平缓且无明显坡折带,沉积水体较浅,是在古气候干旱、古地形平缓的背景下,受阶段性洪水作用主导的事件沉积。(2)盒8段沉积期,盆地不存在大面积汇水区,沉积体系中河流并未进入湖泊水体,而是向东南流出盆地或是消失在内陆干旱地区,全盆地以洪泛平原沉积为主,表现为河道与泛滥平原交互分布的沉积格局,形成了河流扇沉积模式。(3)湖水进退往复,洪水期与枯水期间歇发育,洪水期多期次决口河道接力搬运使得粗粒级砂岩向湖盆长距离延伸,枯水期发育厚层泥质沉积可作为区域性盖层,形成了良好的储盖组合,勘探潜力大。

2023年汛期我国主要天气气候特征

利用中国气象局国家气象信息中心提供的气象观测数据,对2023年汛期(3月24日至11月16日)我国的天气气候特征进行了综合分析。结果表明,2023年汛期,我国气候状况总体偏差,呈现暖干特征,涝旱灾害明显。2023年汛期,全国平均降水量为2012年以来同期第2少(仅多于2022年同期),平均气温为历史同期第2高(仅低于2022年同期)。华北、东北、华南等地暴雨洪涝灾害重;华北和黄淮地区高温日数多、极端性强;西南地区春秋干旱明显;初台偏晚,登陆台风影响重。