青海省黑河上游地区1961～2019年降水量时空变化特征研究

利用1961～2019年黑河上游托勒、野牛沟和祁连气象站降水资料,采用线性趋势、M-K检验、Molet小波等对年、汛期和非汛期降水进行了时空变化特征分析研究.年、汛期和非汛期的降水量呈显著性增加趋势,但年、汛期降水量增加趋势更为显著,区域降水量变化趋势跟年、汛期和非汛期降水量一致;年代际变化中年和汛期的降水量年代值变化...     

基于马尔可夫链模型的铝合金预腐蚀疲劳裂纹扩展表征

本文基于腐蚀疲劳裂纹扩展数据的分散性及统计特性,提出用马尔可夫链模型模拟腐蚀疲劳裂纹的扩展,得到给定应力循环次数时的裂纹长度概率分布。结果表明,马尔可夫链模型能够很好地模拟腐蚀疲劳裂纹扩展情况,为飞机结构的寿命预测和可靠性分析提供参考。     

沙漠生态系统与水分分布

从沙漠生态系统特征讨论它的限制因素是水分的分布特征，从而引导出沙漠区域内丘地、谷地、洼地植被的分布格局，是依赖降水和地下水的分布而形成，同时在塔克拉玛干腹地塔中－－进行降水随高度变化的实测资料，来证实这一论点，介绍了降水量在地形条件下，产生降水的动力因素－－垂直速度两种计算方法，并作了塔中实际观测与假设数据的实际例证和题解方法，最后，介绍沙漠区域水分分布的降水变率方法判据。阐述了有关沙漠地下水的稳     

成都雨水处理利用工程措施探讨

成都降水呈现极强的季节性特征,夏季降水占全年降水的50%左右;降雨水质呈现明显偏硝酸的混合酸性.针对成都地区雨水污染物特征,对当前雨水处理及回用工程中的中水工程、屋顶绿化、调蓄池、绿地系统以及湿地系统在成都应用时所应注意的一些关键因素进行了讨论.     

水资源利用与污染预测

1 用水预测 1.1 工业用水预测工业用水预测采用指数模型,在现状工业用水水平上根据历年工业用水水平进行预测。其基本假定为工业用水结构在近十年内不发生显著变化,随着工业经济的发展,工业技术进步和节水措施的实施预测工业用水的趋势性水平。指数增长模型为时序模型,基本形式为A(t)=A_o(1+a)~t     

基于多元回归分析的我国能源消费量预测研究

针对目前我国能源消费量预测中变量选取单一、预测误差较大等问题,结合我国能源消费实际情况,引入GDP、人口、煤炭消费量、通货膨胀率建立了我国能源消费量预测的多元回归模型.利用该模型对1985-2010年能源消费量进行拟合,拟合效果较好;利用该模型对2011-2013年能源消费量进行实际预测,最大误差为1.708％,平均误差为1.3269％,最小误差仅为0.6748％,预测精度较高,为我国能源消费量预测提供一种新的途径.     

基于地统计的区域气象要素空间插值与分布研究

利用地统计学的理论与方法,以黄土高原南部地区为例,分别运用径向基函数法、普通克里格法和反距离权重法对研究区内139个气象台站2010年的年平均气温和年降水量进行了空间插值,并利用交叉检验方法对插值精度进行了评估。评估结果表明,3种空间插值方法对研究区域内的气象要素进行统计内插的效果都较好。对气温来说,径向基函数法最好,其均方根预测误差值仅为2.263,其次是反距离权重法和普通克里格最好,均方根预测误差值分别仅为2.377和2.38;对降水来说,则是普通克里格法最优,均方根预测误差最小,且其标准均方根预测误差值为0.8205,接近于1。由此可见,对年均降水量采用普通克里格插值法的精度较高。     

主成分回归模型在农业需水量预测中的应用

农业需水量的准确预测对区域发展具有十分重要的意义。农业需水量受多重因素的影响,且这些因素大多存在较强的相关性。通过介绍主成分分析法的原理和计算分析,以实例（z市1998--2010年农业用水资料）建立回归模型对需水量进行预测。结果表明,该模型应用于农业用水量预测,其结果与当地实际情况较吻合,模型的拟合程度和预测准确度均较好。     

组合优化的能源消费量预测模型

针对非等间距灰色系统预测中存在误差较大的问题，结合序列本身的特点，利用世界能源消费的历史数据，采用3种灰色预测模型与神经网络进行组合优化，建立了灰色神经网络的能源消费量组合预测模型。实证分析结果表明，提高了模型的拟合和预测精度，拓宽了应用范围。该模型可对能源的消费趋势进行预测，为科学分析能源结构提供依据。     

青海南部地区近57年降水变化及区域差异分析

利用青南地区1961～2017年14个气象站逐日降水量,采用线性趋势、M-K突变检验和Morlet小波分析等方法,研究了该地区近57年降水的变化特征以及地域性差异。结果表明:青南地区年降水量、降水强度呈现增加趋势,降水日数反呈减少趋势,尤其以较小强度降水日数减少趋势明显,21世纪以来的近10多年是降水量最充沛、强度最强的时期;降水变化呈现季节性差异,除夏、秋两季降水日数呈减少趋势外,其余各季降水指数均呈增加趋势且春季增幅最大;降水强值区位于澜沧江源区南部和黄河源区,弱值区位于长江源区北部;年降水量和降水强度的突变增加发生在本世纪初;三代表源区中长江源区降水条件最差,黄河源区居中,澜沧江源区最理想,但长江源区为降水量及降水强度增长速率最快的源区。     

MODELING ACTUAL EVAPOTRANSPIRATION FROM FORESTED WATERSHEDS ACROSS THE SOUTHEASTERN UNITED STATES1

ABSTRACT: About 50 to 80 percent of precipitation in the southeastern United States returns to the atmosphere by evapotranspiration. As evapotranspiration is a major component in the forest water balances, accurately quantifying it is critical to predicting the effects of forest management and global change on water, sediment, and nutrient yield from forested watersheds. However, direct measurement of forest evapotranspiration on a large basin or a regional scale is not possible. The objectives of this study were to develop an empirical model to estimate long‐term annual actual evapotranspiration (ART) for forested watersheds and to quantify spatial AET patterns across the southeast. A geographic information system (GIS) database including land cover, daily streamflow, and climate was developed using long term experimental and monitoring data from 39 forested watersheds across the region. Using the stepwise selection method implemented in a statistical modeling package, a long term annual AET model was constructed. The final multivariate linear model includes four independent variables—annual precipitation, watershed latitude, watershed elevation, and percentage of forest coverage. The model has an adjusted R² of 0.794 and is sufficient to predict long term annual ART for forested watersheds across the southeastern United States. The model developed by this study may be used to examine the spatial variability of water availability, estimate annual water loss from mesoscale watersheds, and project potential water yield change due to forest cover change.     

Precipitation Amount and Intensity Trends Across Southwest Saudi Arabia

This study examines precipitation accumulation and intensity trends across a region in southwest Saudi Arabia characterized by distinct seasonal weather patterns and mountainous terrain. The region is an example of an arid/semiarid area faced with maintaining sustainable water resources with a growing population. Annual and seasonal trends in precipitation amount were examined from 29 rain gages divided among four geographically unique regions from 1945/1946 to 2009. Two of the regions displayed significantly declining annual trends over the time series using a Mann‐Kendall test modified for autocorrelation (α < 0.05). Seasonal analysis revealed insignificant declining trends in at least two of the regions during each season. The largest and most consistent declining trends occurred during wintertime where all regions experienced negative trends. Several intensity metrics were examined in the study area from four additional stations containing daily data from 1985 to 2011. Intensity metrics included total precipitation, wet day count, simple intensity index, maximum daily annual rainfall, and upper/lower precipitation distribution changes. In general, no coherent trends were found among the daily stations suggesting precipitation is intensifying across the study area. The work represents the first of its size in the study area, and one of few in the region due to the lack of available long‐term data needed to properly examine precipitation changes.     

A Statistical Sediment Yield Prediction Model Incorporating the Effect of Fires and Subsequent Storm Events1

Abstract: Alluvial fans are continuously being developed for residential, industrial, commercial, and agricultural uses in southern California. Development and alteration of alluvial fans need to consider the possibility of mud and debris flows from upstream mountain watersheds affected by fires. Accurate prediction of sediment yield (or hyper‐concentrated sediment yield) is essential for the design, operation, and maintenance of debris basins to safeguard properly the general populace. This paper presents a model for the prediction of sediment yields that result from a combination of fire and subsequent storm events. The watersheds used in this analysis are located in the foothills of the San Gabriel Mountains in southern California. A multiple regression analysis is first utilized to establish a fundamental statistical relationship for sediment yield as a function of relief ratio, drainage area, maximum 1‐h rainfall intensity and fire factor using 45 years of data (1938‐1983). In addition, a method for multi‐sequence sediment yield prediction under fire conditions was developed and calibrated using 17 years of sediment yield, fire, and precipitation data for the period 1984‐2000. After calibration, this model was verified by applying it to provide a prediction of the sediment yields for the 2001‐2002 fire events in southern California. The findings indicate a strong correlation between the estimated and measured sediment yields. The proposed method for sequence sediment yield prediction following fire events can be a useful tool to schedule cleanout operations for debris basins and to develop an emergency response strategy for the southern California region where plentiful sediment supplies exist and frequent fires occur.     

1961—2008年新疆阿克苏地区降水、温度变化特征

利用阿克苏地区5个气象站1961—2008年的降水和温度资料,对近50 a来该地区气候变化及其趋势进行了分析。各气象站年降水量变化趋势基本一致,总体上都呈增加趋势。除库车县气象站年平均温度呈降低趋势外,其余呈上升趋势。总体上,阿克苏地区年降水量和年平均温度均呈上升趋势。     

CLIMATE,SNOW COVER,GLACIERS, AND RUNOFF IN THE TIEN SHAN,CENTRAL ASIA1

ABSTRACT: The Pica Shan, a mountainous region located on the northern periphery of central Asia, has a wide range of climatic and hydrological conditions. On the basis of long term data from 348 meteorological and glaciological stations, the annual distribution of precipitation in different regions and elevational zones of the Tien Shan was calculated. Major climatic features are the entrance of moisture during spring-summer, small winter precipitation, decrease of precipitation towards the east and the center of the mountains or with distance up valleys, and increase of precipitation with altitude up to crest-lines of ranges. Annual total evaporation from snow can be 50–60 mm per year, reaching 30 percent of snow accumulation. Four main groups of rivers were identified: rivers with mainly snow nourishment, rivers with mainly glacial nourishment, rivers with mainly rain nourishment, and rivers with mainly ground water nourishment. Coefficient of runoff variation in Tien Shan's rivers is about 0.20, and coefficient of glacial runoff variation is about 0.15. Glacial runoff is 15–20 percent of the total volume of river runoff.     

PREDICTION OF MEAN ANNUAL FLOWS IN NORTH AND CENTRAL FLORIDA1

ABSTRACT: A frequency analysis approach for the prediction of flow characteristics at ungaged locations is applied to a region of high annual precipitation and low topography in north and central Florida. Stationary time series of annual flows are fitted with the lognormal distribution and estimated parameters of the distribution are fitted by third order trend surfaces. These explain 65 and 74 percent of the observed variances in the mean and standard deviation, respectively. Predictions of parameters are then made for several locations previously unused in the study and they are used to estimate the return periods of various flows from the lognormal distribution. Application of the Kolmogorov-Smirnov goodness-of-fit test suggests that only one of the five test stations can be considered significantly different from the observed data, confirming the applicability of this technique.     

FOREST GROWTH IMPACT ON PEAK SNOW PACK MEASUREMENTS AT LONG TERM SNOW COURSES1

ABSTRACT: Snow course surveys in late winter provide stream‐flow forecasters with their best information for making water supply and flood forecasts for the subsequent spring and summer runoff period in mountainous regions of western North America. Snow survey data analyses are generally based on a 30‐year “normal” period. It is well documented that forest cover changes over time will affect snow accumulation on the ground within forests. This paper seeks to determine if forest cover changes over decades at long term snow courses decrease measured peak snow water equivalent (SWE) enough to affect runoff prediction. Annual peak SWE records were analyzed at four snow courses in two different forest types having at least 25 years of snowpack data to detect any decreases in SWE due to forest growth. No statistically significant decreases in annual peak SWE over time were found at any of these four snow courses. The wide range of annual winter precipitation and correspondingly highly variable peak snowpack accumulation, as well as many other weather and site variables, masked any minor trends in the data.     

Impacts of Multiple Stresses on Water Demand and Supply Across the Southeastern United States1

Abstract: Assessment of long‐term impacts of projected changes in climate, population, and land use and land cover on regional water resource is critical to the sustainable development of the southeastern United States. The objective of this study was to fully budget annual water availability for water supply (precipitation ? evapotranspiration + groundwater supply + return flow) and demand from commercial, domestic, industrial, irrigation, livestock, mining, and thermoelectric uses. The Water Supply Stress Index and Water Supply Stress Index Ratio were developed to evaluate water stress conditions over time and across the 666 eight‐digit Hydrologic Unit Code basins in the 13 southeastern states. Predictions from two Global Circulation Models (CGC1 and HadCM2Sul), one land use change model, and one human population model, were integrated to project future water supply stress in 2020. We found that population increase greatly stressed water supply in metropolitan areas located in the Piedmont region and Florida. Predicted land use and land cover changes will have little effect on water quantity and water supply‐water demand relationship. In contrast, climate changes had the most pronounced effects on regional water supply and demand, especially in western Texas where water stress was historically highest in the study region. The simulation system developed by this study is useful for water resource planners to address water shortage problems such as those experienced during 2007 in the study region. Future studies should focus on refining the water supply term to include flow exchanges between watersheds and constraints of water quality and environmental flows to water availability for human use.     

南充市近十年酸雨变化特征及降水化学组成研究

依据南充市2003~2012年城区降水环境监测统计资料,分析了酸雨变化特征及降水离子化学组成。研究表明:这十年,酸雨频率平均为50.4%,2007年降雨量为最高,呈波动递减趋势变化,降水年平均pH值为4.88,呈现"低—高—低"的变化特征,城区酸雨频率和降水pH值月均值变化呈现高低交替的波动趋势。城区降水中主要阳离子成分是Ca2+,主要阴离子成分是SO2-4和NO-3。(SO2-4/NO-3)比值逐年下降,平均比值为7.82,酸雨污染类型仍以硫酸型为主;降水(NH+4+Ca2+)/(SO2-4+NO-3)和Ca2+/NH+4比值呈波动性变化,2007年分别达到最高值为6.71和50.27,除2010年比值均较低小于1外,近年来均有增加趋势,表明碱性离子缓冲能力增强了,降水酸度降低,pH值增加,但2007年pH值较低,主要与降雨量有关。综合分析,降水酸度不仅是酸性离子和碱性离子中和作用,也受其他离子浓度和降雨量、风向等气候条件、距离传输以及地形等影响。     

EFFECTS OF INTERANNUAL VARIATION OF PRECIPITATION ON STREAM DISCHARGE FROM RHODE RIVER SUBWATERSHEDS1

ABSTRACT: The purpose of this study was to determine the relationships between precipitation at the seasonal and annual scale and water discharge per surface area for seven contiguous first - and second-order tributaries of the Rhode River, a small tidal tributary to Chesapeake Bay, Maryland, USA. The goal was to quantify the effects of a wide range of precipitation, representative of inter-annual variations in weather in this region. The discharges measured included both overland storm flows and groundwater, since the aquifers were perched on a clay aquiclude. Precipitation varied from 824 to 1684 mm/yr and area-weighted Rhode River watershed discharge varied from 130 to 669 mm/yr with an average of 332 mm/yr or 29.1 percent of average precipitation. Average annual dis. charges from three first-order watersheds were significantly lower per surface area and varied from 16.0 to 21.9 percent of precipitation. Winter season precipitation varied from 125 to 541 mm. Area-weighted Rhode River winter discharge varied from 26.3 to 230 mm with an average of 115 mm or 43.9 percent of average precipitation. Spring season precipitation varied from 124 to 510 mm and watershed discharge varied from 40.0 to 321 mm with an average of 138 mm or 46.9 percent of average precipitation. In the summer and fall seasons, watershed discharge averaged 40.6 and 40.9 mm or 13.5 and 14.3 percent of average precipitation, respectively. Except in winter, the proportion of precipitation discharged in the streams increased rapidly with increasing volume of precipitation. Stream order showed a higher correlation with volume of discharge than vegetative cover on the watershed.