Temporal dynamics of soil water balance components in a karst range in southeastern Spain: estimation of potential recharge

Abstract

This paper analyses the temporal dynamics of soil water balance components in a representative recharge area of the Sierra de Gádor (Almeria, southeastern Spain) in two hydrological years. Two approaches are used to estimate daily potential recharge (PR): Approach 1 based on deriving PR from the water balance as the difference between measurements of rainfall (P) and actual evapotranspiration (E) obtained by eddy covariance; and Approach 2 with PR obtained from the dynamic pattern of the soil moisture (θ) recorded at two depths in the site's thin soil (average 0.35 m thickess). For the hydrological year 2003/04, which was slightly drier than the 30-year average, E accounted for 64% of rainfall and occurred mainly in late spring and early summer. The PR estimated by Approach 1 was 181 ± 18 mm year^-1 (36% of rainfall), suggesting an effective groundwater recharge in the study area. In the unusually dry hydrological year 2004/05, E was about 215 mm year^-1, close to the annual rainfall input, and allowing very little (8 ± 12 mm year^-1) PR according to Approach 1. Estimation of PR based on Approach 2 resulted in PR rates lower than those found by Approach 1, because Approach 2 does not take into account the recharge that occurs through preferential flow pathways (cracks, joints and fissures) which were not monitored with the θ probes. Moreover, using Approach 2, the PR estimates differed widely depending on the time scale considered: with daily mean θ data, PR estimation was lower, especially in late spring, while θ data at 30 min resolution yielded a more reliable prediction of the fraction of total PR resulting from the downward movement of soil water by gravity.

Citation Cantón, Y., Villagarcía, L., Moro, M. J., Serrano-Ortíz, P., Were, A., Alcalá, F. J., Kowalski, A. S., Solé-Benet, A., Lázaro, R. & Domingo, F. (2010) Temporal dynamics of soil water balance components in a karst range in southeastern Spain: estimation of potential recharge. Hydrol. Sci. J. 55(5), 737–753.     

Seasonal climate patterns and their influence on calibration of the Hargreaves-Samani equation

Abstract

Annual patterns in climate parameters were studied to evaluate how these influence the quality of reference evapotranspiration (ETo) estimates obtained from the Hargreaves-Samani (HS) equation, since the method only uses the measured temperature directly. The work evaluates how these patterns can be used to improve the HS ETo estimates. Ten-year moving averages from a set of California Irrigation Management Information System (CIMIS) stations were used to evaluate the relationships between solar radiation (R_s), temperature (T) and ETo. The results indicate that T treads behind solar radiation and its value peaks some 25 days later. Thus, the main irrigation season in the Mediterranean climate (1 May–30 September) can be divided into three phases: increasing R_s and T; decreasing R_s with increasing T; and decreasing R_s and T. Non-univocal annual cycles were observed between R_s and T, ETo and R_s, and ETo and T. These annual patterns result in important seasonal changes in the ratio between the HS and Penman-Monteith (FAO PM) ETo estimates. The changes are particularly important during the irrigation season, where the FAO PM initially calculates greater ETo values than the HS methodology, and from the end of May to early September, where the HS equation overestimates the ETo values (by 17 mm, or 3%). These patterns obtained from 2000–2009 data were used to calibrate and improve HS ETo estimates at new sites for the 2010–2011 period. Calibration based on the proposed seasonal region-wide FAO PM/HS ETo ratios improved both the bias (decreased from 0.40 to 0.36 mm d^-1) and r² (increased from 0.67 to 0.87) of the ETo estimates for the irrigation season. The proposed methodology can be easily applied to other regions, even when the existing weather stations are sparse.

Editor Z.W. Kundzewicz     

利用中国静止气象卫星资料估算黄河源区蒸散发量

以黄河源区为研究区域,选取2009年9月该区域的中国静止气象卫星(FY-2D)观测资料,结合地面气象观测资料,基于能量平衡原理,估算了研究区域的逐时陆面蒸散发量。结果表明:在晴天条件下,利用陆表能量平衡系统模型求出蒸散发量的大小;在阴天条件下,利用FY-2D云顶反照率资料,根据太阳辐射在大气中的衰减过程,得出地表太阳辐射收支,进而求出蒸散发量的大小。卫星遥感估算的逐时蒸散发量与地面观测值相比,平均相对误差15.2%,估算误差在可接受的合理范围内,为实现陆面蒸散发量的业务化奠定了一定的基础。     

2002~2020年刚果河流域陆地水储量变化分析

利用德克萨斯大学空间研究中心（CSR）发布的GRACE时变重力场模型,基于最大信噪比准则确定RL06球谐系数模型（spherical harmonics,SH）的最优高斯滤波半径,在此基础上反演2002-04~2020-05刚果河流域陆地水储量变化,结合水文与降雨、蒸散资料分析其驱动因素。研究结果表明,GRACE模型估计的刚果河流域水储量变化和水文模型估计的地表水储量变化的周年振幅一致,表明刚果河流域的陆地水储量周年变化驱动因素为地表水。对于年际变化,2002-04~2020-05陆地水储量变化呈轻微增加趋势,2002-04~2006-12明显减少,RL06 SH模型估计结果为-2.30±0.24 cm/a;2007-01~2010-12呈现增加趋势,为0.38±0.24 cm/a;2011-01~2020-05水储量增速变大,为0.92±0.12 cm/a,该结果与CSR Mascon估计结果一致。     

基于土壤植被不同参数化方法的流域蒸散发模拟

植被和土壤是水循环中的重要载体,模拟流域水循环时植被和土壤的参数化也显得尤为重要。通过对比流域蒸散发模拟中分布式模型和集总式概念模型的土壤植被参数化方法,计算了潘家口水库流域不同时间尺度上的流域蒸散发,分析了不同时间尺度下流域蒸散发的影响因素。通过分析得出:(1)分布式水文模型中的植被参数化方法包括对植被时空分布与变化的描述,以及与之相关的土壤-植被-大气中水分和能量的传输过程的描述。(2)从GBHM模型与流域水热耦合平衡模型的对比分析可知,在流域尺度上,年实际蒸散发与潜在蒸散发之间呈互补的高度非线性关系;但在山坡和小时时间尺度上,实际蒸散发与潜在蒸散发之间呈正比关系,并可近似为线性正比关系。(3)基于流域水热耦合平衡模型在不同时间尺度的参数化分析可知,考虑植被土壤水分和植被覆盖度能改善对流域蒸散发的年际和季节变化的模拟精度;土壤水分和植被的影响随着时间尺度变小表现得越来越显著。     

基于辐射的潜在蒸散量估算方法适用性分析

根据不同气候区4个站的历史数据,选取8种基于辐射的PET估算方法,以FAO56-PM法计算的PET作为参考值进行比较分析,最后用20 cm蒸发皿蒸发量对所有方法在不同气候区的适用性进行评价.其结果表明,采用初始参数时,Hargreaves法在不同气候区估算的逐月以及多年月平均PET误差均较小,其它方法则产生较大误差.校...     

近48 a新疆干湿气候时空变化特征

 根据新疆101个气象台站1961—2008年的逐月气候资料,采用线性回归、Morlet小波、自然正交分解（EOF）、累计距平、t-检验和Kriging空间插值等方法,对近48 a反映新疆干湿气候的年降水量、潜在蒸散量和地表干燥度等要素的时空变化特征进行了分析,结果表明:①新疆年降水量在空间分布上表现为山区多于平原和盆（谷）地,北疆多于南疆,西部多于东部的格局;近48 a,新疆各地年降水量均为增多趋势,增多倾向率的空间分布为:天山山区>北疆>南疆,全疆平均年降水量以9.123 mm/10a的倾向率增多;新疆年降水量空间异常分布主要表现为“全疆一致型”和“南北疆反向变化”两种模态;全疆平均年降水量主要存在3～4 a、6～8 a、11 a和16 a的振荡周期,并于1987年发生了突变性的增多。②新疆年潜在蒸散量总体表现为南疆大于北疆、东部大于西部、盆（谷）地大于山区的分布格局;近48 a,新疆各地年潜在蒸散量总体为减少趋势,其中南疆为递减倾向率高值区,北疆大部和天山山区为递减倾向率低值区,全疆平均年潜在蒸散量以-23.8 mm/10a的倾向率减少;新疆年潜在蒸散量空间异常分布也主要表现为“全疆一致型”和“南北疆反向变化”两种模态;潜在蒸散量主要存在准22 a的振荡周期,并于1984年发生了突变性的减小。③受降水量和潜在蒸散量时空变化的共同影响,新疆年干燥度指数总体表现为南疆大于北疆、东部大于西部、盆（谷）地大于山区的分布格局;近48 a,新疆各地年干燥度指数均表现为不同程度的减小趋势,其中,吐鲁番、哈密盆地以及塔里木盆地东部地区是干燥度指数减小最明显的区域,全疆平均年干燥度指数以-3.164/10a的倾向率减少;新疆年干燥度指数空间异常分布主要表现为“全疆一致型”;干燥度指数主要存在准5 a、8 a和18 a的振荡周期,并于1987年发生了突变性的减小。     

Diurnal surface temperature difference index derived from ground-based meteorological measurements for assessment of moisture availability

Droughts have become widespread in the Northern Hemisphere, including in China, where they have affected farmland resources on the Loess Plateau. Given this background, we proposed a new index, the Normalized Day-Night Surface Temperature Index (NTDI), to estimate moisture availability (m_a), defined as the ratio of actual to reference evapotranspiration. The NTDI is defined as the ratio of the difference between the maximum daytime surface temperature and the minimum nighttime surface temperature, to the difference between the maximum and minimum surface temperatures estimated from meteorological data by applying energy balance equations.To calculate the index, we used data of 20 clear-sky meteorological observations made during the 2005 growing season at a natural grassland station in the Liudaogou River basin on the Loess Plateau. The NTDI showed a significant inverse exponential correlation with m_a (R² = 0.97, p < 0.001), whereas the numerator of the index (the maximum daytime surface temperature minus the minimum nighttime surface temperature) was only weakly correlated with m_a (R² = 0.24, p = 0.03). This result indicates that normalization relative to the index denominator (maximum surface temperature − minimum surface temperature) dramatically improved the accuracy of the estimate.     

M5 model tree based modelling of reference evapotranspiration

This paper investigates the potential of M5 model tree based regression approach to model daily reference evapotranspiration using climatic data of Davis station maintained by California irrigation Management Information System (CIMIS). Four inputs including solar radiation, average air temperature, average relative humidity, and average wind speed whereas reference evapotranspiration calculated using a relation provided by the CIMIS was used as output. To compare the performance of M5 model tree in predicting the reference evapotranspiration, FAO–56 Penman–Monteith equation and calibrated Hargreaves–Samani relation was used. A comparison of results suggests that M5 model tree approach works well in comparison to both FAO–56 and calibrated Hargreaves–Samani relations. To judge the generalization capability of M5 model tree approach, model created by using the Davis data set was tested with the datasets of four different sites. Results from this part of the study suggest that M5 model tree could successfully be employed in modeling the reference evapotranspiration. Further, sensitivity analysis with M5 model tree approach suggests the suitability of solar radiation, average air temperature, average relative humidity, and average wind speed as input parameters to model the reference evapotranspiration Copyright © 2009 John Wiley & Sons, Ltd.