Spatiotemporal variation in rainfall erosivity on the Chinese Loess Plateau during the period 1956–2008

Water resources and soil erosion are the most important environmental concerns on the Chinese Loess Plateau, where soil erosion and sediment yield are closely related to rainfall erosivity. Daily rainfall data from 60 meteorological stations were used to investigate the spatiotemporal variations in annual rainfall, annual erosive rainfall and annual rainfall erosivity on the Chinese Loess Plateau during the period 1956–2008. The annual rainfall, erosive rainfall and rainfall erosivity decreased over the past five decades, as determined by the Mann–Kendall test. A comparison of the annual averaged rainfall, erosive rainfall and rainfall erosivity from 1980 to 2008 with that from 1956 to 1979 revealed a remarkable spatial difference in the rainfall trends on the Loess Plateau. Regions of the plateau with major decreases in rainfall were primarily in the Hekouzhen-Longmen section of the middle Yellow River, especially in the Wuding River basin, the Fenhe basin and the northern-central Shanxi province, where the annual rainfall and erosive rainfall decreased by more than 10% and the annual rainfall erosivity decreased by more than 15%. The rainfall erosivity also decreased more than the annual rainfall. Because the annual rainfall has decreased significantly on the Chinese Loess Plateau over the past 50 years, it is important to better understand the ecological and hydrological processes affected by this climate change.     

基于TRMM卫星资料分析三峡蓄水前后的局地降水变化

为揭示三峡蓄水对局地气候的影响,利用TRMM 3B42卫星降水产品分析了三峡蓄水前后（以2003年为分界）库区的局地降水变化。分析表明,蓄水以后,库区西北部年累积降水量增加,东南部年累积降水量减少,这种降水变化是大尺度上降水变化的区域体现。蓄水对干流附近降水产生了一定影响,干流站点间降水量差别增大,但整个大库区平均的年累积降水量无明显变化。蓄水之后的降水变化具有季节差异。冬季几乎整个库区的降水量都有所增加;春季降水量在干流的上游个别地区和下游减少,中游增加;夏季除库区下游部分地区外,大部分库区降水量有所减少;秋季,库区的上游和中游降水增加,下游降水减少。区域平均的季节降水量无明显年际趋势。结果表明,三峡蓄水带来的降水变化空间尺度只局限在近库区,对整个大库区降水变化的影响可忽略不计     

Variability and trends in rainfall amount and extreme event indices in the Omo-Ghibe River Basin,Ethiopia

This study evaluates variability and trends in rainfall amount and extreme event indices in the Omo-Ghibe River Basin of Ethiopia based on observed records from six stations. Nine daily rainfall indices were defined and analyzed based on the World Meteorological Organization guideline. Sen’s slope estimator and Mann–Kendall’s trend test were used to determine the magnitude and statistical significance of the rainfall changes, respectively. The results show complex patterns of rainfall variability and local-scale trends. Statistically significant increasing changes were observed at Key Afer for most of the indices. On the other hand, the increasing trends in the number of very heavy rainfall events (R20 mm) were statistically significant at three (Jinka, Key Afer and Wolaita Sodo) out of the six stations. On the other hand, significant decreasing trends were found at Sawla for the maximum one day (Rx1 day) and the number of very heavy rainfall event (R20 mm). No systematic trends were found for the number of wet and dry day-related rainfall indices. However, the annual total rainfall averaged for the entire basin and at two stations (Key Afer and Wolaita Sodo) showed statistically significant increasing trends, both at the 0.01 level. Generally, the results of this study contradict with previous studies that reported significant declining trends in annual and Kiremt (main rainy season) rainfall amounts over this part of the country, suggesting the reviving of rainfall during the last two decades. Also, the results of this study agree with previous researches that reported the absence of systematic patterns of trends in daily rainfall indices in different parts of the country. The study has important implications for an effective management of water resources and climate risk management particularly in view of the fact that five hydropower plants and large-scale sugarcane plantations are planned, and some are under construction in the basin.     

Spatio-temporal analysis of climatic variables in the western part of Bangladesh

Monitoring and detecting trends of climatic variables like rainfall and temperature are essential for agricultural developments in the context of climate change. The present study has detected trends in annual and cropping seasonal rainfall and temperature data for the period of 1961–2011 using Mann–Kendall (MK) test, Spearman’s rho (SR) test and modified Mann–Kendall test that has been applied to the significant lag-1 serial correlated time series data, and slope has been estimated using Sen’s Slope estimator for twelve meteorological stations located in the western part of Bangladesh covering about 41 % of the country. Almost 71 % trends explored by MK test in annual rainfall are statistically insignificant, and SR test also complies it. The spatial distribution of rainfall trend shows insignificant positive trends in major part of the area. Significant positive trends both by MK test and by SR test at 95 % confidence levels are observed at rates of 8.56, 11.15 and 13.66 mm/year at Dinajpur, Rangpur and Khepupara stations, respectively, and the Kharif season rainfall of these stations also shows significant increasing trends except Dinajpur. On the other hand, significant decreasing trends in annual rainfall are found at Bhola (?11.67 mm/year) and Rajshahi (?5.951 mm/year) stations and decreasing trends in rainfall dominated the Pre-Kharif season over the area. But, 83.33 % of the stations show rising trends in annual mean temperature with significant positive trends (as observed by both MK test and SR test) at Rangpur, Bogra, Faridpur, Jessore and Bhola stations where the rate of changes vary from 0.013 °C/year at Faridpur to 0.08 °C/year at Bhola. Most of the trends in Rabi and Pre-Kharif seasons of mean temperatures are not statistically significant. However, all stations except Barisal show significant rising trends in temperature in Kharif season. To cope with this changing pattern of rainfall and temperature, effective adaptation strategies should be taken to keep up the agricultural production that is related to livelihood of the most people and to ensure the country’s food security.     

Environmental implications of changes in the levels of lakes in the Ethiopian Rift since 1970

The Ethiopian rift is characterized by a chain of lakes of various sizes and hydrological and hydrogeological settings. The rift lakes and feeder rivers are used for irrigation, soda extraction, commercial fish farming, and recreation, and they support a wide variety of endemic birds and wild animals. The levels of some of these lakes have changed dramatically over the last three decades. Lakes that are relatively uninfluenced by human activities (Langano and Abaya) remain stable except for the usual inter-annual variations, strongly influenced by rainfall. Some lakes have shrunk due to excessive abstraction of water; others have expanded due to increases in surface runoff and groundwater flux from percolated irrigation water. Lakes Abiyata and Beseka, both heavily impacted by human activities, show contrasting lake level trends: the level of Abiayata has dropped by about 5 m over three decades because of the extraction of water for soda and an upstream diversion for irrigation. Beseka has expanded from an area of 2.5 to 40 km² over the last three decades because of increased groundwater inputs from percolated irrigation water. Lake Awassa has risen slightly due to land use changes resulting in increased runoff in its catchment. This paper addresses these lake level changes and their environmental repercussions, based on evidence from hydrometeorological records, hydrogeological field mapping supported by aerial photography and satellite imagery interpretations, water balance estimation, and hydrological modeling. A converging evidence approach is used to reconstruct the temporal and spatial variations of lake levels. The results reveal that the major changes in the rift valley are mainly related to anthropogenic factors. These changes appear to have grave environmental consequences for the fragile rift ecosystem. These consequences demand the very urgent implementation of integrated basin wide water management practice.     

土地利用变化对流域水文过程时空分异的影响 ——以赣江流域为例

土地利用变化引起的水文分量时空变化对认识流域产汇流过程,优化流域土地利用结构和水资源规划具有重要意义。基于SWAT模型,本研究以赣江流域为例,结合1980、2000、2015年3期土地利用数据从水文响应单元的角度,系统分析了单纯土地利用变化对流域产流、蒸发、入渗以及径流等主要水文过程时空分布的影响。结果表明：1980~2015年间,流域内的土地利用变化主要表现为耕地和林地的减少,城乡建设用地的增加;林地的减少和城乡建设用地的增加是产流增加,蒸发和入渗减少的主要原因;总体上,土地利用变化对局部地区水文过程影响较大,但因土地利用类型之间的相互转化和其影响的叠加,流域尺度上的综合水文效应明显降低;土地利用变化导致整个赣江流域平均径流量增加了2.33×108m3,相比较近年来赣江径流的减小幅度其影响十分有限。近年来,赣江入湖径流量的下降主要是由气候变化和其他人类活动作用特别是流域工农业用水的大幅增长所致。流域水文过程模拟应充分考虑土地利用变化水文效应的时空分异,注重天然和社会水循环的耦合,才能更为真实的反映流域水文过程,更好的为流域土地利用结构优化和水资源的高效管理提供科学依据。     

近50年来云贵高原太阳辐射变化特征及影响

到达地面的太阳辐射变化会对气候和生态环境产生较大影响。用云贵高原1961～2009年日射站辐射和气象观测资料,对多年来到达地面太阳总辐的年和季节变化趋势,及辐射变化对气候要素的影响进行了分析。结果表明：1961~1988年,总辐射呈明显下降趋势,之后发生逆转,1988~1994年总辐射呈显著上升趋势,1994年后其变化趋于缓和。总体呈现变暗－变亮－变缓的趋势。各季节总辐射变化的趋势为,秋季变化趋势极显著,春季变化的趋势显著,夏季变化的趋势较显著,冬季变化不明显。高原日照时数变化趋势与总辐射经历的变暗－变亮－变缓在时间上基本一致。总辐射变化对该地区的最高气温影响显著,但对蒸发量的影响不太明显。影响年辐射变化的各因子中,云量是影响高原总辐射变化的主要因素,相对湿度和能见度则影响较小     

近51年川滇地区气候暖干化与旱涝灾害趋势判断

为揭示川滇地区气候特征与旱涝灾害趋势,以川滇地区70个气象站点1961～2011年的逐月气温、降水资料为基础,采用线性回归、五年滑动平均、M K突变检验、反距离加权空间插值、Z指数法、Morlet小波变换等方法,对川滇地区气候变化特征与旱涝灾害进行了分析。结果表明：近51 a川滇地区气温以021℃/10 a的速率增加;降水量以1076 mm/10 a的速率减少;尤其是20世纪90年代末期以来正经历着以增温和变干为趋势的气候变化特征,气候暖干化趋势明显。近51 a川滇地区年旱涝灾害总的趋势是向干旱发展,以2000年为转折点,2000年以前该区多涝灾,2000年后多旱灾,这与该区的气温与降水变化一致,气候暖干化的结果直接导致了旱灾加剧。川滇地区春、冬两季旱涝年际周期变化规律强,Z指数呈上升趋势,降水量增加;夏季旱涝周期变化十分显著,旱涝灾害程度加剧,干旱化趋势明显;秋季旱涝变化周期性不强,呈弱干旱化趋势发展     

近50年重庆市农业气候资源变化特征分析

利用1960~2010年重庆34个气象台站的气象资料,运用统计学方法、IDW插值法分析了重庆市全年及温度生长期的平均气温、≥10℃积温、降水量和日照时数等农业气象资源的时空变化特征。结果表明：研究期内,重庆市年平均气温总体呈缓慢上升趋势,增幅为037℃/10 a,温度生长期内≥10℃积温亦呈上升趋势,平均增速为1162℃/10 a,以东北部偏东地区增加趋势尤为明显;全市年降水量和温度生长期内降水量均呈东南向西北逐渐减少态势,平均下降速率分别为1972 mm/10 a和1185 mm/10 a;约90%的站点年均日照时数和温度生长期内日照时数均呈减少趋势,且西部减少的趋势较东部更加显著     

川西北高原畜牧业界限温度日期及资源的变化特征

利用川西高原31个气象观测站1961~2012年的观测资料,采用线性趋势法、Mann-Kendall突变检测法和Morlet小波分析方法,详细分析了川西北高原畜牧业界限温度0℃初日、5℃终日及0℃初日至5℃终日之间畜牧气候资源的变化特征。结果表明:(1)川西北高原稳定通过0℃初日及5℃终日在区域上有很大差异,主要受海拔高度、纬度的影响。(2)畜牧气候资源的年际变化总体呈增加趋势,但区域变化不均;(3)各要素年代际变化不同,积温在各个年代都比前一年代增加,而日照时数则呈现出一增两减一增的趋势,降水量的年代际变化型式与日照相反,呈现一减两增一减的趋势;(4)各因素突变特征明显,突变的时间主要出现在20世纪80年代,不同因素的突变类型不同;(5)畜牧业气候资源存在明显的周期性变化,各要素变化周期长短不一致,尤其是降水量以4a左右的短周期振荡为主。     

近53 a来长江流域极端降水指数特征

利用1963~2015年长江流域115个气象站点逐日降水数据,分析了不同极端降水指标的空间变化特点和时间变化趋势。结果表明,近53 a来,长江流域多年平均年极端降水量与年降水量从下游到上游逐渐递减,两者变化趋势大致呈现“增-减-增”的空间分布格局。年极端降水量对年降水量贡献（PEP）存在明显的空间分布差异,但贡献比例在流域内普遍呈现增加的趋势。持续1 d的极端降水事件的降水量分布及其变化趋势与年极端降水量的分布特征类似,其对年极端降水量的贡献比例高达65%以上,说明长江流域极端降水以持续1 d的极端降水事件为主。持续2 d及以上的极端降水事件主要集在中皖苏赣局部地区和四川中部地区,但其降水量对年极端降水量的贡献比例较小。从上游到下游,年最大日降水量（MDP）逐渐增大。其中,上游源头地区的沱沱河、曲麻莱和玉树3个站点MDP主要集中在0~25 mm之间,其他站点均以25~50 mm量级为主;长江流域中部地区的MDP大部分以50~100 mm的量级为主,处于100~150 mm之间的次之;长江流域东部地区主要以100~150 mm量级的MDP为主。 关键词： 极端降水;降水贡献;不同历时;长江流域     

Climate change and variability: perception and adaptation strategies of pastoralists and agro-pastoralists across different zones of Burkina Faso

Due to the dependence of its economy on rainfed agriculture and livestock husbandry, Burkina Faso, like other Sahelian countries, is particularly vulnerable to climate change. Adaptation is needed to counteract anticipated drawbacks of climate change on crop and livestock productivity; therefore, we examined climate change perceptions of pastoralists and agro-pastoralists and analysed their adaptation strategies. To this end, focus group discussions were held in six villages distributed across three agro-ecological zones. In three of these sites, 162 farmers were also individually interviewed. Perceptions of farmers were compared to actual trends of different climatic parameters extracted from official long-term meteorological records (1988–2008). Results showed that farmers in Burkina Faso were partly aware of climate change, particularly of changes in temperature and rainfall patterns, but their perception did not match well with the recorded annual rainfall data in the southern Sahelian and Sudanian zones. The most important adaptation strategies mentioned by agro-pastoralists were crop diversification, combination of cropping and livestock operations, use of water harvesting technologies and anti-erosive measures such as half-moons or stone dikes. Strategies of pastoralists included seasonal, annual and permanent migration and taking up of cereal cropping. Logistic regression analysis indicated that agro-ecological zone, cultivated surface, ruminant herd size, household size and education were the most important variables affecting farmers’ choice of adaptation strategies. These factors should be taken into account in the development and implementation of any programme of adaptation to climate change in Burkina Faso.     

Impacts of climatic change and low frequency variability in reference series on daily maximum and minimum temperature in southern South America

Understanding the climate and its variability, in particular with regard to their socioeconomic impact, requires specific measurements of precipitation and temperature and their circulations. This becomes more important in applications to diverse systems. In order to improve knowledge about temporal changes and trends in temperature, we analyzed series of maximum and minimum daily surface temperatures at eight reference stations in southeastern South America during variable periods, with the longest periods of around 100 years. To study the evolution of the temperature series and to reduce the number of parameters, a nonhierarchical cluster analysis was performed. The algorithm assigns each day to one of four groups: warm, wet, cold and dry. Low frequency variations were found in these groups and their association with circulation structure, circulation patterns and precipitation. We concluded that the set of wet days is one of the main factors driving secular variations of maximum and minimum temperature and variations in precipitation. We also inferred that after 1920 till 1930, a low frequency oscillation is observed in the form of linear trends (increase of warm days and decrease of cold days).     

鄱阳湖流域1960～2018年极端气温变化及其与大气环流的关系

为进一步揭示鄱阳湖流域极端气温事件变化及其影响因素,基于鄱阳湖流域24个气象站点连续59年观测资料,选取8个极端气温指数,分析鄱阳湖流域极端气温动态变化,并探讨了大气环流与极端气温变化的联系.结果表明:(1)鄱阳湖流域极端气温暖指数(暖昼天数、暖夜天数和夏日天数)及极值指数(日最低气温最小值和日最高气温最大值)均呈增加趋势;冷指数(冷昼天数、冷夜天数和霜冻天数)均呈逐渐减少趋势.(2)从空间分布来看,极端气温空间变化趋势与年际变化一致,极端气温暖指数和极值指数呈增加趋势,冷指数均呈减少趋势,但在不同地区变化趋势存在差异.流域各站点霜冻天数和冷昼天数均呈显著下降趋势,但在赣北地区下降趋势最显著.大部分站点(23/24)暖夜天数、夏日天数和日最低气温最小值均呈显著增加趋势;(3)鄱阳湖流域极端气温指数的变化与大气环流的变化存在相关性,其中西太平洋副高强度指数、夏季东亚季风指数、亚洲区极涡强度指数和北极涛动指数对极端气温事件影响显著.研究结果可为极端气候风险评估、灾害预警提供参考.     

Simulation of Indian summer monsoon rainfall and its intraseasonal variability in the NCAR climate system model

The broad climatological features associated with the Asian monsoon circulation, including its mean state and intraseasonal and interannual variability over the Indian subcontinent as simulated in the National Center for Atmospheric Research (NCAR) global coupled climate system model (CSM) in its control reference experiment, are presented in this paper. The CSM reproduces the seasonal cycle as well as basic observed patterns of key climatic parameters reasonably well in spite of some limitations in simulation of the monsoon rainfall. However, while the seasonality in rainfall over the region is simulated well, the simulated area-averaged monsoon rainfall is underestimated to only about 60% of the observed rainfall. The centers of maxima in simulated monsoon rainfall are slightly displaced southward as compared to the climatological patterns. The cross-equatorial flow in simulated surface wind patterns during summer is also stronger than observed with an easterly bias. The transient experiment with a 1% per year compound increase in CO₂ with CSM suggests an annual mean area-averaged surface warming of about 1.73 °C over the region at the time of CO₂ doubling. This warming is more pronounced in winter than during the monsoon season. A net increase in area-averaged monsoon rainfall of about 1.4 mm day^–1, largely due to increased moisture convergence and associated convective activity over the land, is obtained. The enhanced intraseasonal variability in the monsoon rainfall in a warmer atmosphere is confined to the early part of the monsoon season which suggests the possibility of the date of onset of summer monsoon over India becoming more variable in future. The enhanced interannual and intraseasonal variability in the summer monsoon activity over India could also contribute to more intense rainfall spells over the land regions of the Indian subcontinent, thus increasing the probability of extreme rainfall events in a warmer atmosphere. Electronic Publication     

Sensitivity of streamflow and microbial water quality to future climate and land use change in the West of Ireland

Regional Environmental Change - This study applied catchment modeling to examine the potential effects of climate change and future land management variations on streamflow and microbial transport...     

汉江流域1956~2016年汛期降水时空演变格局

基于汉江流域96个雨量站点1956~2016年长系列降水数据，采用数理统计法诊断了汉江流域汛期降水时空演变特征。研究发现汉江流域汛期面平均降水历年总体变化趋势不显著，但在1989年存在较强跳跃性，并伴随有22 a、8 a和3 a主周期震荡；受流域气候及地形影响，流域汛期降水空间分布不均。流域上游西南区和汉江下游等地常成降水中心，易形成“辐射型”、“南北型”和“东北-西南型”3种空间分布模态，方差贡献率分别为41.1%、12.4%和7.6%；近年来流域西南部汉中、安康、神农架地区及汉江下游天门、仙桃一带局地降水显著上升，流域东北部商州、凤镇一带及唐白河流域局地降水显著下降，汛期降水“东北-西南型”分布模态日渐走强。流域降水时空分布及演变特性直接关系到流域水资源合理开发与利用，进一步加深了对汉江流域降水要素变化规律的认识，研究成果对流域洪涝灾害应对、雨洪资源利用及水资源优化配置具有参考借鉴价值。     

岷江径流变化特征及其对青藏高原气候变化的响应

依据1961~2003年水文气象资料,运用Mann Kendall检验和线性倾向估计方法进行了岷江年径流、青藏高原年气温与年降水长期变化特征分析及其变化趋势显著性检验,利用Pearson相关分析研究了岷江径流变化与青藏高原气温和降水间的相关性。结果表明：(1)在青藏高原年平均气温显著升高而年降水略有增加但不显著的气候环境下,岷江径流量总体呈减少的变化趋势,年变化率分别为上游紫坪铺站-2619 0 m3/s、下游高场站-6538 5m3/s,其中紫坪铺站径流减少趋势十分显著,通过了5%显著水平的信度检验;从季节变化上看,岷江径流减少主要发生在夏季和秋季,而以春季变化最少;从时间变化特性看,在60~80年代,岷江年径流呈现出年代际的周期性波动变化。(2)岷江径流随青藏高原平均气温的升高而减小;青藏高原降水与岷江径流间的相关性在上下游及季节上则表现不同,与春季径流的相关性最强,与上游紫坪铺站径流具有弱负相关性,而与下游高场站径流具有显著的正相关性;同时,岷江径流变化对青藏高原气温和降水变化在时间响应上还表现出季节上的滞后性。     

分布式TOPMODEL模型在清江流域降雨径流模拟中的应用

以清江流域上游为研究区域,探讨TOPMODEL模型在大流域的应用;对比了SRTM和地形图两种DEM数据在流域地形指数计算及降雨径流模拟中的差异,结果表明,虽然不同DEM计算得到的地形指数和模型率定参数存在较大差异,但是模拟效率基本相同,SRTM数据作为全球覆盖的免费高分辨率DEM数据将极大促进TOPMODEL模型的应用;分析了TOPMODEL模型在大流域中应用存在的局限性,在此基础上,构建了基于子流域的松散耦合的分布式TOPMODEL模型,提出了利用流域实际下垫面数据进行模型参数率定的方法,探讨了子流域划分详细程度对模拟结果的影响,结果表明,分布式TOPMODEL模型充分考虑了流域降雨和下垫面属性空间不均匀性对水文过程的影响,模拟效率高于传统TOPMODEL模型,随着子流域数目的增加,模型在率定期和校验期的效率均呈上升趋势,但是到达一定程度之后,受降雨等输入参数及模型计算误差所限,增加子流域个数不能继续提高模拟效率.     

近50年来四川干能见度霾日数及消光系数时空变化特征

利用四川省147个气象观测站1961～2010年能见度、相对湿度、降水等观测资料,分析了四川省近50 a来干能见度的时空变化特征,以及四川盆地霾日数和干消光系数的变化趋势。结果表明:四川盆地及盆缘区域干能见度较差（12~20 km）,而西部高海拔山区较好(40~50 km),与青藏高原接壤的地区最好(＞50 km)。从20世纪70年代到20世纪末,四川盆地的干能见度呈现明显减少趋势,而川西高原的干能见度却出现显著增加趋势;21世纪近10 a来四川干能见度变化趋势趋于停止。近50 a来,有544%台站出现干能见度减少趋势,且主要集中在盆地和攀枝花地区;另有456%台站干能见度有增加趋势,且多集中在高海拔山区。四川盆地的干消光系数和霾日数的变化趋势较为一致。干消光系数1996年之前迅速增加,1996年以后有小幅度的减小,增加的气候倾向率为003/10 a,霾日数的增加速率为104 d/10 a。能见度下降、消光系数和霾日数增加与人为排放污染物浓度增加有密切关系