城市陆面过程与边界层结构研究

通过城市边界层观测、卫星遥感以及城市边界层数值模拟等途径,获取对城市陆面过程特性的认识,研究建立精细城市边界层模式,引入合理城市区陆面过程参数化方案,并进行城市边界层结构影响研究。研究结果表明：①城市下垫面能量平衡过程迥异于自然地表,引入合理的参数化方案是改善数值模拟性能的关键。②高分辨卫星观测信息是认识城市地表参数状况及其变化的有效途径。 ③人为热排放参数化方案的合理引入是准确描述地表能量平衡过程的又一重要课题。需根据实际情况确定人为热排放的引入方案及量值变化。④应从合理描述城市建筑物下垫面对热力输送及大气动力场的影响出发,研究建立了多层城市冠层模式。⑤应建立更完善的多尺度城市边界层模式系统并引入更新的城市效应参数化方案和数据同化处理,以增强并完善城市边界层数值模拟能力。     

Evapotranspiration Estimation Based on MODIS Products and Surface Energy Balance Algorithms for Land （SEBAL） Model in Sanjiang Plain, Northeast China

In this study,the Surface Energy Balance Algorithms for Land(SEBAL) model and Moderate Resolution Imaging Spectroradiometer(MODIS) products from Terra satellite were combined with meteorological data to estimate evapotranspiration(ET) over the Sanjiang Plain,Northeast China.Land cover/land use was classified by using a recursive partitioning and regression tree with MODIS Normalized Difference Vegetation Index(NDVI) time series data,which were reconstructed based on the Savitzky-Golay filtering approach.The MODIS product Quality Assessment Science Data Sets(QA-SDS) was analyzed and all scenes with valid data covering more than 75% of the Sanjiang Plain were selected for the SEBAL modeling.This provided 12 overpasses during 184-day growing season from May 1st to October 31st,2006.Daily ET estimated by the SEBAL model was misestimaed at the range of-11.29% to 27.57% compared with that measured by Eddy Covariance system(10.52% on average).The validation results show that seasonal ET from the SEBAL model is comparable to that from ground observation within 8.86% of deviation.Our results reveal that the time series daily ET of different land cover/use increases from vegetation on-going until June or July and then decreases as vegetation senesced.Seasonal ET is lower in dry farmland(average(Ave):491 mm) and paddy field(Ave:522 mm) and increases in wetlands to more than 586 mm.As expected,higher seasonal ET values are observed for the Xingkai Lake in the southeastern part of the Sanjiang Plain(Ave:823 mm),broadleaf forest(Ave:666 mm) and mixed wood(Ave:622 mm) in the southern/western Sanjiang Plain.The ET estimation with SEBAL using MODIS products can provide decision support for operational water management issues.     

Estimation of monthly reference evapotranspiration using novel hybrid machine learning approaches

ABSTRACT

In this research, five hybrid novel machine learning approaches, artificial neural network (ANN)-embedded grey wolf optimizer (ANN-GWO), multi-verse optimizer (ANN-MVO), particle swarm optimizer (ANN-PSO), whale optimization algorithm (ANN-WOA) and ant lion optimizer (ANN-ALO), were applied for modelling monthly reference evapotranspiration (ET_o) at Ranichauri (India) and Dar El Beida (Algeria) stations. The estimates yielded by hybrid machine learning models were compared against three models, Valiantzas-1, 2 and 3 based on root mean square error (RMSE), Nash-Sutcliffe efficiency (NSE), Pearson correlation coefficient (PCC) and Willmott index (WI). The results of comparison show that the ANN-GWO-1 model with five input variables (T_min, T_max, RH, U_s, R_s) provides better estimates at both study stations (RMSE = 0.0592/0.0808, NSE = 0.9972/0.9956, PCC = 0.9986/0.9978, and WI = 0.9993/0.9989). Also, the adopted modelling strategy can build a truthful expert intelligent system for estimating the monthly ET_o at study stations.     

Sensitivity of hydrological variables to climate change in the Haihe River basin,China

Using the defined sensitivity index, the sensitivity of streamflow, evapotranspiration and soil moisture to climate change was investigated in four catchments in the Haihe River basin. Climate change contained three parts: annual precipitation and temperature change and the change of the percentage of precipitation in the flood season (P_f). With satisfying monthly streamflow simulation using the variable infiltration capacity model, the sensitivity was estimated by the change of simulated hydrological variables with hypothetical climatic scenarios and observed climatic data. The results indicated that (i) the sensitivity of streamflow would increase as precipitation or P_f increased but would decrease as temperature increased; (ii) the sensitivity of evapotranspiration and soil moisture would decrease as precipitation or temperature increased, but it to P_f varied in different catchments; and (iii) hydrological variables were more sensitive to precipitation, followed by P_f, and then temperature. The nonlinear response of streamflow, evapotranspiration and soil moisture to climate change could provide a reference for water resources planning and management under future climate change scenarios in the Haihe River basin. Copyright © 2011 John Wiley & Sons, Ltd.     

近20 a中亚净初级生产力与实际蒸散发特征分析

中亚碳、水循环在气候变异和人为活动的影响下呈现新的时空特征。但由于观测数据稀缺,生态过程特殊,植被、土壤空间异质性强,中亚植被净初级生产力(NPP)、实际蒸散发(AET)的时空特征相关信息相对不足,且时效性不高。利用全球尺度的NPP、AET、土地覆被数据,气象站点与区域气候数据分析近20 a中亚地区NPP和AET的时空特征。结果表明：与1990年相比,2000年中亚地区农田NPP增幅小于自然植被,植被总固碳量增加了254.65 Tg C;近20 a中亚地区实际总蒸散量先增后降,农田对中亚水资源散失的贡献减小,自然植被的贡献增大,自然植被与农田面积变化决定中亚总蒸散量动态;北部农田区、东部山区及山前绿洲为NPP和AET的高值区,中西部荒漠为低值区。     

辽河三角洲不同干湿气候区参考蒸散发敏感因子时空变化

根据辽河三角洲19个气象台站1961~2010年气象观测资料,采用Penman-Monteith参考蒸散发计算方法,分析辽河三角洲半湿润区、半干旱区以及滨海干湿过渡区3个气候亚区参考蒸散发对平均气温、风速、相对湿度和太阳辐射的敏感性及其时空分异。结果表明：在半干旱区,敏感系数由大到小依次是相对湿度、风速、太阳辐射和平均气温;在半湿润区和滨海干湿过渡区,敏感系数由大到小依次是相对湿度、太阳辐射、平均气温和风速。不同气候亚区参考蒸散发对气象因子的敏感系数具有较大的差异和变化趋势。     

“蒸发悖论”在黑河流域的探讨

利用黑河流域12个气象站点1960-2010年的气象资料,运用FAO Penman-Monteith模型计算潜在蒸散量,采用旋转经验正交函数、Mann-Kendall检验等方法系统分析了过去51 a间潜在蒸散量及气温的变化趋势,重点对"蒸发悖论"在黑河流域的规律进行分析.结果表明:根据潜在蒸散量的旋转经验正交函数分区结果,黑河流域可以划分为4个子区."蒸发悖论"仅于1960-1993年存在于黑河流域河西走廊区(Ⅱ区、Ⅲ区);其它各区无"蒸发悖论".1994-2010年由于潜在蒸散量的显著上升,河西走廊区"蒸发悖论"消失.1993年是黑河流域潜在蒸散量变化趋势的一个转折点,1994-2010年黑河流域的潜在蒸散量表现为统计显著的上升趋势.风速的变化是影响黑河流域河西走廊区"蒸发悖论"出现和消失的重要因素.     

Spatiotemporal variation and driving forces of reference evapotranspiration in Jing River Basin,northwest China

Evapotranspiration is an important component of the hydrological cycle, which integrates atmospheric demands and surface conditions. Research on spatial and temporal variations of reference evapotranspiration (ET_o) enables understanding of climate change and its effects on hydrological processes and water resources. In this study, ET_o was estimated by the FAO‐56 Penman–Monteith method in the Jing River Basin in China, based on daily data from 37 meteorological stations from 1960 to 2005. ET_o trends were detected by the Mann–Kendall test in annual, seasonal, and monthly timescales. Sensitivity coefficients were used to examine the contribution of important meteorological variables to ET_o. The influence of agricultural activities, especially irrigation on ET_o was also analyzed. We found that ET_o showed a decreasing trend in most of the basin in all seasons, except for autumn, which showed an increasing trend. Mean maximum temperature was generally the most sensitive parameter for ET_o, followed by relative humidity, solar radiation, mean minimum temperature, and wind speed. Wind speed was the most dominant factor for the declining trend in ET_o. The more significant decrease in ET_o for agricultural and irrigation stations was mainly because of the more significant decrease in wind speed and sunshine hours, a mitigation in climate warming, and more significant increase in relative humidity compared with natural stations and non‐irrigation stations. Changes in ET_o and the sensitivity coefficient of meteorological variables in relation to ET_o were also affected by topography. Better understanding of ET_o response to climate change will enable efficient use of agricultural production and water resources, which could improve the ecological environment in Jing River Basin. Copyright © 2015 John Wiley & Sons, Ltd.     

华北平原蒸散和GPP格局及其对气候波动的响应

华北平原水资源不足影响农业和经济的可持续发展,威胁国家的粮食安全。有效地预测区域的蒸散量和用水效率是合理配置农业和生态用水的前提。本文发展了一个基于遥感植被指数的蒸散和植被生产力模型,利用MODIS遥感信息模拟了华北平原2000-2009 年的蒸散和第一性生产力(GPP)。结果表明,年和生长季累积蒸散和GPP的分布具有纬度地带性,冬小麦季则更为明显。水分盈亏分析表明,降水显著低于蒸散的地区主要分布在黄河流域以北,南部地区降水有盈余。年尺度上,黄河以北地区水分亏缺0~300 mm;在小麦生长发育期,几乎全区水分亏缺0~400 mm;在玉米生长发育期,黄河以北地区水分亏缺0~100 mm。此外,蒸散和GPP的年际变化明显,既受气候波动的影响,也受植被的动态响应调节。     

阿克苏河流域气候变化对潜在蒸散量影响评价(英文)

Evapotranspiration is one of the key components of hydrological processes. Assessing the impact of climate factors on evapotranspiration is helpful in understanding the impact of climate change on hydrological processes. In this paper, based on the daily meteorological data from 1960 to 2007 within and around the Aksu River Basin, reference evapotranspiration (RET) was estimated with the FAO Penman-Monteith method. The temporal and spatial variations of RET were analyzed by using ARCGIS and Mann-Kendall met...