Water Quality Impacts of Climate and Land Use Changes in Southeastern Pennsylvania*

This study investigates potential changes in nitrogen and phosphorus loads under a warmer and wetter climate, urban growth, and combined changes in the Conestoga River Basin and its five subbasins in southeastern Pennsylvania. A GIS‐based hydrochemical model was employed for assessing the sensitivity of the basins to the projected changes in 2030. Under the HadCM2 climate change scenario, mean annual nitrogen and phosphorus loads are expected to increase, with great increases in spring but slight decreases in fall primarily because of changes in monthly precipitation. When climate change and urbanization occur concurrently, mean annual nitrogen loads further increase by 50% in the most urbanizing subbasin. Point source nitrogen control could mitigate negative effects of climate and land use changes, reducing mean annual nitrogen loads to the contemporary baseline level.     

青藏高原季风对西北降水影响的相关分析

通过对高原季风指数与西北地区月降水量遥相关关系的分析,论述了１月份高原冬季批指数与西北地区年降水和夏季月降水相关显著,其相关分布型与西北夏季三种降水类型相似;６月高原季风指数对西北降水量的影响也最明显。高原季风异常可能与高原下垫热力异常有关,从而推测冬季风异常通过高原这个巨大的热载体而影响夏季风异常。     

自贡市近50年来气候变化特征分析

本文利用自贡市1955~2006年的气温、降水资料,采用线性倾向估计、累计距平、Mann-Kendall等方法,研究了自贡市近52年来气温、降水的年、季变化特征。结果表明:在全球气候变化背景下,近52年来,自贡年平均气温略上升,年降水量略减少。秋季气候表现为明显的暖干趋势,春季气候则具有明显的变湿趋势。近10年来自贡气候变暖趋势明显。     

Wintertime Cyclone Activity and Its Relation to Precipitation over China

The authors examined the variability in wintertime cyclone activity and storm tracks and their relation to precipitation over China for the period 1951–2006 using the observational data.Two apparent modes of variability were assumed for the cyclone activity and storm tracks.The first mode describes the oscillation in the strength of the storm tracks in East Asia,which significantly increased since the mid-1980s,whereas the second mode describes a seesaw oscillation in the storm track strength between the Central-Southeast China and northern East Asia.The storm tracks over the Central-Southeast China have increased since the late 1960s.The possible causes for the variation of the cyclone activity and storm tracks are also explored.It is shown that wintertime precipitation,which has increased since the mid-1980s,concentrates in Central-Southeast China.The enhancement may be caused by the first mode of variability of storm tracks,whereas the interannual variability of precipitation may be linked to the second mode of the storm track variability.     

COMPARATIVE ANALYSIS OF THE INTENSITY AND DISTRIBUTION OF HEAVY RAINS IN ZHEJIANG PROVINCE CAUSED BY TYPHOONS HAITANG AND MATSA

Study was carried out on two landfall typhoons Haitang and Matsa, which affected Zhejiang province seriously in 2005. Firstly, the similarity and difference between the two typhoon-induced heavy rains were compared and it was pointed out that both of them brought strong large-scale precipitation and the maximum centers of rainfall were located on the north side of the landfall site. Making landfall on Fujian, Haitang was weaker than Matsa in intensity but surpassed it in rainfall. Then with focus on intensity, moving speed, structure of typhoon, circulation and terrain, the two typhoon-related heavy rains were compared and analyzed. Results show that the asymmetrical distribution of rainfall was closely related to the structure of typhoons themselves, moisture transportation and mesoscale terrain. In contrast to the south side, the north side was hotter and wetter and water vapor was also more abundant. The phenomenon of more rainfall induced by Haitang was in connection with the following reasons. Invading cold air led to rainfall increases, weakened dynamic field and slower movement both benefited precipitation. For the last part, the cold characteristic of air mass over Zhejiang was also a favorable factor for the rain.     

全球增暖1.5/2℃下中国区域极端降水的风险变化及其影响因子

利用24个CMIP6全球气候模式的逐日降水模拟资料,基于广义极值分布(GEV)模型,研究了全球增暖1.5/2℃下我国20、50和100 a重现期极端降水的未来风险变化。可以发现,相对于历史时期(1995—2014年),全球升温1.5和2℃下极端降水发生概率风险空间分布相近,总体上呈现增加趋势,但额外增暖0.5℃将导致更高的风险。如50 a重现期极端降水,在增暖1.5/2℃下其重现期将分别变为17/14 a,极端降水将变得更加频繁。不同区域对气候变暖的响应存在区域差异,其中中国西部长江黄河中上游和青藏高原地区、中国东部长江黄河中下游及其以南地区,极端降水发生概率比达到3以上,局部更是达到5以上,为我国极端降水气候变化响应高敏感区域。进一步,基于概率分布函数从理论角度探讨了位置和尺度参数对发生概率风险的影响与贡献度量,并用于探讨极端降水气候平均态和变率变化对极端降水发生风险的影响,结果显示：位置和尺度参数的增量变化、风险变化率存在着显著的东西部差异,从而导致极端降水发生风险的影响因素存在差异。如中国西部尽管极端降水气候平均态和变率变化幅度不大,但因风险变化率较高,从而导致该区域的发生风险大...     

IMERG卫星降水数据在嘉陵江流域的干旱监测效用评估

针对嘉陵江流域存在雨热同期,水旱灾害频发的现象,为快速且准确地把握流域内降水与干旱情况,利用覆盖范围广且分辨率高的网格化IMERG卫星降水数据对嘉陵江流域进行多时空尺度反演,并基于卫星降水数据采用标准化降水指数(SPI)对流域实行干旱监测。结果表明：1)根据分类指标与统计指标的计算结果,三种卫星降水数据中的IMERG-F能更准确地反映流域内的日降水量,与地面降水数据CC达0.737,整体高估地面降水2.6%,具有在干旱监测方面的应用潜力。2)三种卫星降水数据驱动的SPI指数在干旱监测方面存在一定的差异,IMERG-F驱动的SPI指数与地面降水数据驱动的SPI指数保持较高的一致性(CC>0.9),较近实时产品IMERG-F更能准确地呈现出流域的干湿特征。3)卫星识别降水与干旱监测的能力受地形地貌的影响,IMERG卫星降水数据在平原丘陵地带具有较好的适用性。     

中国长序列资料测站月降水、月均温相关联系的稳定性分析

选取我国长序列资料测站点中月降水与月均温资料较全的6个站点：西安、广州、汉口、沈阳、重庆、上海,以10a为一次成组实验,时域分辨率定为季,计算出各季月降水与月均温的相关系数,然后用相关分析和贝努里概型分析月均温与月降水之间的相关联系,初步得出我国长序列资料测站点春、夏、秋、冬月降水与月均温的相关稳定性联系。结果表明：①我国月降水与月均温在春、夏、秋、冬季均存在相关关系,以夏、秋季节最显著且为负相关,故我国常见干热或湿凉型夏、秋季;②我国华南地区春季月降水与月均温负相关关系显著,故常呈现干热或湿冷型春季;西北地区冬季月降水与月均温负相关关系较为明显,常呈现干热或湿冷型冬季。     

影响中国的热带气旋极端事件年代际变化

利用1949—2009年影响中国的热带气旋风雨资料以及登陆信息,研究影响热带气旋极端事件的年代际变化特征。结果表明：热带气旋登陆极端偏早或偏晚事件在1970和2000年代发生较少。热带气旋登陆强度（中心附近最大风力和最低气压）极端事件在2000年代发生频数最高。热带气旋降水影响时间极端事件在1970年代频数最多,大风影响时间极端事件在1980年代频数最多。日降水量和过程降水量的极值站数在1960年代最多,日最大风速极值站数在1980年代最多。