CMIP5模式对中国近海海表温度的模拟及预估

基于观测和再分析资料;利用多种指标和方法评估了国际耦合模式比较计划（CMIP5）中21个模式对中国近海海温的月、季节和年际变化模拟能力。多模式集合能够再现气候平均意义下近海海温的空间分布特征;但量值上存在一定的低估。在渤海和黄海;集合平均与观测差别比较明显。在年际尺度上;与观测数据对比;模式模拟海温与Niño3指数相关性较小。中国近海海表面温度在1960-2002年有明显的升高趋势;从2003年开始增温趋缓。评估结果表明;ACCESS1.0、BCC-CSM1.1、HadGEM2-ES、IPSL-CM5A-MR、CMCC-CM、FGOALS-g2、CNRM-CM5-2、INMCM4八个模式对中国近海海温的变化有较好的模拟能力。利用ACCESS1.0、INMCM4、BCC-CSM1.1、IPSL-CM5A-MR、CMCC-CM这5个模式结果对中国近海海温未来的变化进行了预估。在RCP4.5、RCP8.5情景下;未来近100年中国近海海温有明显升高趋势;最优模式多模式集合平均增温分别可达到1.5℃、3.3℃;净热通量变化和平流变化共同促进了东海升温。     

Rainfall threshold determination for flash flood warning in mountainous catchments with consideration of antecedent soil moisture and rainfall pattern

Flash flood disaster is a prominent issue threatening public safety and social development throughout the world, especially in mountainous regions. Rainfall threshold is a widely accepted alternative to hydrological forecasting for flash flood warning due to the short response time and limited observations of flash flood events. However, determination of rainfall threshold is still very complicated due to multiple impact factors, particular for antecedent soil moisture and rainfall patterns. In this study, hydrological simulation approach (i.e., China Flash Flood-Hydrological Modeling System: CNFF-HMS) was adopted to capture the flash flood processes. Multiple scenarios were further designed with consideration of antecedent soil moisture and rainfall temporal patterns to determine the possible assemble of rainfall thresholds by driving the CNFF-HMS. Moreover, their effects on rainfall thresholds were investigated. Three mountainous catchments (Zhong, Balisi and Yu villages) in southern China were selected for case study. Results showed that the model performance of CNFF-HMS was very satisfactory for flash flood simulations in all these catchments, especially for multimodal flood events. Specifically, the relative errors of runoff and peak flow were within?±?20%, the error of time to peak flow was within?±?2 h and the Nash–Sutcliffe efficiency was greater than 0.90 for over 90% of the flash flood events. The rainfall thresholds varied between 93 and 334 mm at Zhong village, between 77 and 246 mm at Balisi village and between 111 and 420 mm at Yu village. Both antecedent soil moistures and rainfall temporal pattern significantly affected the variations of rainfall threshold. Rainfall threshold decreased by 8–38 and 0–42% as soil saturation increased from 0.20 to 0.50 and from 0.20 to 0.80, respectively. The effect of rainfall threshold was the minimum for the decreasing hyetograph (advanced pattern) and the maximum for the increasing hyetograph (delayed pattern), while it was similar for the design hyetograph and triangular hyetograph (intermediate patterns). Moreover, rainfall thresholds with short time spans were more suitable for early flood warning, especially in small rural catchments with humid climatic characteristics. This study was expected to provide insights into flash flood disaster forecasting and early warning in mountainous regions, and scientific references for the implementation of flash flood disaster prevention in China.     

基于GF5-AHSI遥感数据的横沙浅海水深反演

高光谱遥感水深反演是一种对传统水深测量方法的补充,具有方便、快捷、经济等突出优势。本文研究区位于上海横沙,属于典型滩涂浅水区,研究数据包括GF5-AHSI高光谱遥感数据和同时期的水深数据。通过数据变换和相关分析等方法提取建模参数,利用单波段比值模型、多元线性回归模型、最优标度回归模型和BP神经网络模型实现该区域水深反演,并对4种模型反演结果的准确性进行了验证和比较。研究发现：最优标度回归模型优于其他3种模型,R2达到了0.972,RMSE为0.47 m,适用于横沙浅海水深反演。     

玉米秸秆还田和有机配施提高黑土酸中和容量

长期施用化肥导致农田黑土酸化、盐基离子耗竭、养分失衡及作物重金属污染等诸多问题。本文依托吉林公主岭国家黑土肥效监测基地25 a的施肥试验,研究了不施肥对照（C）、N、NP、NK、PK、NPK、厩肥—化肥配施（MNPK）、玉米秸秆还田（SNPK）等8个施肥处理对土壤酸中和容量（ANC）的影响,N、P、K施用量分别为165 kg hm^-2 a^-1、36 kg hm^-2 a^-1、68.5 kg hm^-2 a^-1,MNPK和SNPK处理与NPK处理为等N量。结果表明,施化肥导致表土pH下降0.37~1.39,MNPK和SNPK处理分别提高土壤pH值0.21和0.53。以pH 5.0为参比,N、NP、NK、PK、NPK各处理的酸中和容量ANC_{pH 5.0}分别为对照的42.85%、61.79%、54.05%、82.26%、63.68%;MNPK处理的ANC_{pH 5.0}是对照的1.86倍;加酸160 mmol kg^-1,SNPK处理的土壤pH值仅从7.65降至6.42,表现出极强的酸中和能力。SNPK和MNPK处理的土壤交换性盐基总量SEB分别是对照的1.37和1.14倍,土壤有机质SOM分别是对照的1.32和1.63倍,二者是提高土壤ANC主要原因。总之,有机物料添加显著提高了黑土抗酸化性能及土壤基础肥力水平,研究结果可为东北黑土区玉米秸秆还田保护性耕作及有机肥部分替代化肥实践提供长期试验的理论依据和数据支撑。     

干旱绿洲农业区村庄多功能特征与类型划分研究——以临泽县为例

村庄是最能直接体现乡村经济社会活动规律的单元,落实到村级层面的功能类型划分是分类推进乡村振兴的关键。以行政村为基本单元,采用熵权法、泰尔指数及优势功能模型,构建适用于村庄发展功能识别与类型划分的研究思路,并以西北干旱绿洲农业区临泽县为例进行实证研究。结果表明：干旱绿洲农业区总体形成以农产品生产和生态保育为主的国土空间格局,村庄形成农业种植、畜牧养殖、工业加工、商贸旅游、劳务输出、生活保障等多功能地域综合体,其中农产品生产和生活保障功能总体空间差异较小,而非农生产功能空间差异较大。村庄因资源禀赋、规划引导、政策驱动和社会需求差异形成不同的优势功能类型,空间上呈现“外围生态、沿河种植、中部农牧、临城劳务,文旅、商旅、生活保障以政府驻地及附近村庄为主”的分布规律,并形成非农生产功能镶嵌于农业生产功能之中、生产生活功能被生态保育功能包围的分布格局。通过自上而下主体功能统筹与自下而上经济社会需求相结合的方法进行村庄发展功能识别和类型划分具有较强的适用性和实践指导价值,在巩固国家主体功能定位、保障国家粮食和生态安全的同时,可以调整优化县域资源要素配置,实现村庄发展功能互补与功能协调。     

近50年来淮河流域极端降水的时空变化及统计特征(英文)

Based on the daily precipitation data of 27 meteorological stations from 1960 to 2009 in the Huaihe River Basin, spatio-temporal trend and statistical distribution of extreme precipitation events in this area are analyzed. Annual maximum series (AM) and peak over threshold series (POT) are selected to simulate the probability distribution of extreme precipitation. The results show that positive trend of annual maximum precipitation is detected at most of used stations, only a small number of stations are found to depict a negative trend during the past five decades, and none of the positive or negative trend is significant. The maximum precipitation event almost occurred in the flooding period during the 1960s and 1970s. By the L-moments method, the parameters of three extreme distributions, i.e., Generalized extreme value distribution (GEV), Generalized Pareto distribution (GP) and Gamma distribution are estimated. From the results of goodness of fit test and Kolmogorov-Smirnov (K-S) test, AM series can be better fitted by GEV model and POT series can be better fitted by GP model. By the comparison of the precipitation amounts under different return levels, it can be found that the values obtained from POT series are a little larger than the values from AM series, and they can better simulate the observed values in the Huaihe River Basin.     

Major element chemistry of the Huai River basin, China

The chemistry of major ions (Ca, Mg, Na, K, HCO₃, SO₄, Cl and Si) in the water of the Huai River basin was studied, based on samples from 52 sites from nine different water bodies in July 2008. Ions and total dissolved solids (TDS) displayed clear spatial patterns with lower concentrations in the south and higher in the north of the basin; the same conditions were also found in the East Line of South-North Water Transfer Project (SNWTP) in this region. The Huai River main channel and Hongze Lake have moderate ion concentrations relative to the whole basin. TDS concentrations versus the weight ratios of Na/(Na + Ca) and ternary ions demonstrate that the southern rivers (Shi R. and Pi R.) are mainly controlled by the weathering of carbonates, whereas the northern water systems (Guo R., Shaying R., Nansi Lake and its tributaries) are dominated by the weathering of evaporites. The Huai River main channel, Hongze Lake and the East Line of SNWTP are synergistically influenced by weathering of evaporites and carbonates, yet Hongze Lake and the East Line of SNWTP are mainly controlled by evaporation and crystallization processes. This study also confirmed that the Huai River is the geographic division between southern and northern China. Most rivers of this basin have very high ionic composition relative to the global median and other world rivers. The spatial patterns and ionic composition also suggest that intensive anthropogenic activities in northern areas of this basin are well characterized. A comparison with WHO and Chinese standards for drinking water indicates that the northern water systems of this basin are not suitable for use as drinking water sources, and pollution control should be improved and enhanced in northern areas of the basin.     

宁夏旅游经济与生态环境系统空间错位研究

为了研究旅游经济发展与生态环境系统之间的空间错位程度,定量分析其空间错位关系,以宁夏为研究对象,基于空间错位理论与模型,综合利用熵权法、TOPSIS(Technique for order prefer?ence by similarity to ideal solution)模型、重力模型以及ArcGIS空间可视化表...     

Discrete wavelet transform-based investigation into the variability of standardized precipitation index in Northwest China during 1960–2014

This study analyses spatio-temporal trends in precipitation, temperature, and river discharge in the northeast of Iran during recent decades (1953–2013). The Pettitt, SNHT, Buishand, Box-Pierce, Ljung-Box, and McLeod-Li methods were applied to examine homogeneity in time series studied. The nonparametric Mann-Kendall and Sen’s slope estimator tests were used to detect possible significant (p < 0.05) temporal trends in hydrometeorological time series and their magnitude, respectively. For time series with autocorrelation, the trend-free pre-whitening (TFPW) method was used to determine significant trends. To explore spatial distributions of trends, their magnitudes were interpolated by the inverse distance whitening (IDW) method. Trend analysis shows that for daily, monthly, and annual precipitation time series, 12.5, 19, and 12.5 % of the stations revealed significant increasing trends, respectively. For mean temperature, warming trends were found at 38, 23, and 31 % of the stations on daily, monthly, and annual timescales, in turn. Daily and monthly river discharge decreased at 80 and 40 % of the stations. Overall, these results indicate significant increases in precipitation and temperature but decreases in river discharge during recent decades. Hence, it can be concluded that decreasing trends in river discharge time series over the northeast of Iran during 1953–2013 are in response to warming temperatures, which increase the rate of evapotranspiration. Differences between the results of our comprehensive large-scale study and those of previous researches confirm the necessity for more model-based local studies on climatic and environmental changes across the northeast of Iran.     

三江源区径流演变及其对气候变化的响应(英文)

Runoff at the three time scales(non-flooding season,flooding season and annual period) was simulated and tested from 1958 to 2005 at Tangnaihai(Yellow River Source Region:YeSR),Zhimenda(Yangtze River Source Region:YaSR) and Changdu(Lancang River Source Region:LcSR) by hydrological modeling,trend detection and comparative analysis.Also,future runoff variations from 2010 to 2039 at the three outlets were analyzed in A1B and B1 scenarios of CSIRO and NCAR climate model and the impact of climate change was tested.The results showed that the annual and non-flooding season runoff decreased significantly in YeSR,which decreased the water discharge to the midstream and downstream of the Yellow River,and intensified the water shortage in the Yellow River Basin,but the other two regions were not statistically significant in the last 48 years.Compared with the runoff in baseline(1990s),the runoff in YeSR would decrease in the following 30 years(2010-2039),especially in the non-flooding season.Thus the water shortage in the midstream and downstream of the Yellow River Basin would be serious continuously.The runoff in YaSR would increase,especially in the flooding season,thus the flood control situation would be severe.The runoff in LcSR would also be greater than the current runoff,and the annual and flooding season runoff would not change significantly,while the runoff variation in the non-flooding season is uncertain.It would increase significantly in the B1 scenario of CSIRO model but decrease significantly in B1 scenario of NCAR model.Furthermore,the most sensitive region to climate change is YaSR,followed by YeSR and LcSR.