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Journal of Hydrology
Elsevier
Journal of Hydrology

Elsevier

0022-1694

Journal of Hydrology/Journal Journal of HydrologySCIISTPEIAHCI
正式出版
收录年代

    A satellite-based approach to estimating spatially distributed groundwater recharge rates in a tropical wet sedimentary region despite cloudy conditions

    Caicedo, Nelson O. L.da Paz, Adriano R.Xuan, YunqingBertrand, Guillaume F....
    15页
    查看更多>>摘要:Groundwater recharge (GWR) is one of the most challenging water fluxes to estimate, as it relies on observed data that are often limited in many developing countries. This study developed an innovative water budget method using satellite products for estimating the spatially distributed GWR at monthly and annual scales in tropical wet sedimentary regions despite cloudy conditions. The distinctive features proposed in this study include the capacity to address 1) evapotranspiration estimations in tropical wet regions frequently overlaid by substantial cloud cover; and 2) seasonal root-zone water storage estimations in sedimentary regions prone to monthly variations. The method also utilises satellite-based information of the precipitation and surface runoff. The GWR was estimated and validated for the hydrologically contrasting years 2016 and 2017 over a tropical wet sedimentary region located in North-eastern Brazil, which has substantial potential for groundwater abstraction. This study showed that applying a cloud-cleaning procedure based on monthly compositions of biophysical data enables the production of a reasonable proxy for evapotranspiration able to estimate groundwater by the water budget method. The resulting GWR rates were 219 (2016) and 302 (2017) mm yr(-1), showing good correlations (CC = 0.68 to 0.83) and slight underestimations (PBIAS =-13 to-9%) when compared with the referenced estimates obtained by the water table fluctuation method for 23 monitoring wells. Sensitivity analysis shows that water storage changes account for +19% to-22% of our monthly evaluation. The satellite-based approach consistently demonstrated that the consideration of cloud-cleaned evapotranspiration and root-zone soil water storage changes are essential for a proper estimation of spatially distributed GWR in tropical wet sedimentary regions because of their weather seasonality and cloudy conditions.

    Explaining water security indicators using hydrologic and agricultural systems models

    Veettil, Anoop ValiyaMishra, Ashok K.Green, Timothy R.
    15页
    查看更多>>摘要:Water security plays an important role in socio-economic development, ecosystem management, and environmental sustainability. Over the last four decades, water security assessment has attracted much political and economic attention. An improved understanding of the relationships between water demand and supply is needed to mitigate the impacts of diminishing water resources. This study provides an overview of water security assessment by focusing on the various water security indicators and the concept of water footprint (blue, green, and grey water). The water security indicators based on the water footprint concept is currently receiving more attention because it accounts for the return flow from the total water withdrawn from a watershed. We also investigate the application of different physically-based hydrological models, such as Soil and Water Assessment Tool (SWAT) and Variable Infiltration Capacity (VIC), on water security assessment at a regional to continental scale. However, hydrological/agricultural system models cannot quantify evapotranspiration from irrigation and rainwater separately. Therefore, independent quantification of blue and green water footprint from an irrigated field is challenging. For illustration purposes, we apply the fully distributed Agricultural Ecosystems Services (AgES) model in the Big Dry Creek Watershed (BDCW), an intensively managed and irrigated watershed located in semiarid Colorado. The results indicate that the blue water footprint is higher than the green water footprint in the watershed. In addition, the spatial distribution of grey water footprint is highly correlated with the amount of fertilizer application. The variation of grey water footprint among the irrigated fields is higher than blue and green water footprints. We conclude that applying a physically distributed model can provide useful insight into the impact of climate and anthropogenic activities on water security at different scales.

    What controls the surging of Karayaylak glacier in eastern Pamir? New insights from remote sensing data

    Zhang, ZhenTao, PengjieLiu, ShiyinZhang, Shasha...
    12页
    查看更多>>摘要:Glacier surges in the Pamir have been widely documented, but the surge mechanism remains poorly known. The Karayaylak Glacier is the first reported surging glacier in eastern Pamir but different dates and possible triggers were published. In this research, the Karayaylak Glacier was studied using an extensive Landsat and Ziyuan-3 (ZY-3) satellite image set. The active phase initiated in May to June 2014, and experienced a peak velocity of 20.1 +/- 0.7 m d(-1) in May 2015, terminating in October 2015. During 2014-2015, the reservoir zone experienced an average surface elevation reduction of 33.1 +/- 1.5 m, and the receiving zone experienced an average surface elevation gain of 36.8 +/- 1.5 m. The large basal sliding during the active phase (2014-2015) was likely driven by high water pressure at the bed in an inefficient drainage system. A large volume of water released at the end of the active phase indicated the drainage at the glacier base became more efficient. The abrupt peak velocity, the short active phase and the changes in drainage suggest that the Karayaylak Glacier surge was controlled by hydrology. The behaviour of the Karayaylak Glacier was similar to that of the Kyagar Glacier and Shispare Glacier in the Karakoram.

    Estimation of maize evapotranspiration in semi-humid regions of northern China using Penman-Monteith model and segmentally optimized Jarvis model

    Wu, ZongjunCui, NingboZhao, LuHan, Le...
    14页
    查看更多>>摘要:Accurate estimation of maize evapotranspiration (ET) is of great significance for the improvement of crop water use efficiency and precision irrigation. The Penman-Monteith model (P-M) has been widely used to simulate crop ET. In the P-M model, the estimation accuracy of canopy resistance (r(c)) has a direct impact on ET. In this study, based on the eddy covariance system, large-scale lysimeter and meteorological station data from three sites (Yucheng, Yangling and Shangqiu) in semi-humid regions of northern China, the P-M model was applied to obtain canopy resistance (r(c)-(PM)) and correlation significances between r(c-PM )and different impact factors (R-n net radiation, T temperature, VPD saturated vapor pressure difference, theta soil moisture content, LAI leaf area index) were analysed. The whole growth period of maize was divided according to different LAI thresholds (0.1, 0.5, 1.0, 1.5, 2.0 and 3.0 m(2)m(- 2)). The Genetic Algorithms (GA) and Differential Evolution (DE) algorithms were used to optimize the empirical parameters of the Jarvis model, and the P-M model was applied to estimate ET under different LAI thresholds at the three stations. The correlation significances of r(c-PM) with different influencing factors followed the order R-n > LAI > theta > VPD > T, and it was extremely significant with Rn (P < 0.01) and significant with LAI and theta (P < 0.05). The GA and DE algorithm optimization results showed that the calculation accuracy of r(c) was highest when LAI=0.5 m(2) m(- 2 )at Yucheng station, with R(2 )of 0.80 and 0.81, respectively, and when LAI=1.0 m(2) m(-2), and the accuracy of r(c) was highest at Yangling station, with R-2 of 0.87 and 0.89, respectively, and when LAI = 1.0 m(2) m( -2), and the accuracy of r(c) was highest at Shangqiu station, with R-2 of 0.84 and 0.84, respectively. Combined with P-M model to calculate maize ET under different LAI thresholds, the simulation accuracy of ET was best when LAI = 0.5 m(2 )m(-2 )at Yucheng station, with averege R-2 of 0.85, the order of simulation ET accuracy was: 0.5 > 1.0 > 1.5 > 2.0 > 3.0 > 0.1 m(2) m(-2). When LAI = 1.0 m(2 )m(-2), and the accuracy of maize ET was highest at Yangling and Shangqiu stations, with averege R-2 of 0.83 and 0.85, respectively, the order of simulation ET accuracy was: 1.0 > 0.5 > 1.5 > 2.0 > 3.0 > 0.1 m(2) m-( 2). ET accuracy calculated by the DE optimization algorithm was better than that of the GA optimization algorithm, with R-2 of 0.40-0.84 and 0.58-0.86, respectively. This study suggests that the algorithm is of great importance to optimize the empirical parameters of the Jarvis model, of which DE optimization algorithm is recommended to simulate maize ET in semi-humid regions of northern China.

    Occurrence and controls of preferential flow in the upper stream of the Heihe River Basin, Northwest China

    Lai, YaoXu, ShaoyuanGao, ChaoHong, Weijie...
    13页
    查看更多>>摘要:Preferential flow (PF) has a faster migration speed and is an important process affecting hydrological, geochemical and ecological cycles. However, the factors that control PF during infiltration are not fully understood, especially in the data-scarce high and cold mountainous areas, where few studies have been focused on PF. We selected eight soil moisture observation stations in the upper reaches of the Heihe River Basin (HRB), Northwest China. During the growing season from 2014 to 2019, the soil moisture was monitored every 30 min at 5 depths (5, 15, 25, 40, and 60 cm) at each station in order to analyze the occurrence and spatial-temporal control of PF in a cold, mountainous environment. According to the difference in response time of shallower and deeper soil moisture to rainfall, infiltration events were classified into PF and matrix flow. Our results show that the frequency of PF events across all layers of these stations ranged from 0 to 22.28%. As depth increased, the average PF frequency gradually decreased, but the coefficient of variation of PF frequency increased. The effect of vegetation on the occurrence of PF was profound, because vegetation affects root distribution and fauna activities, which affects the occurrence of PF. Our results also show that the frequency of PF gradually decreases from scrubland, to grassland and meadow, and barren land. Low bulk density, low residual water content, high saturated hydraulic conductivity, and high soil organic carbon were found to be conducive to the occurrence of PF. In addition, we found that PF possessed a high degree of seasonal variability because of its strong dependence on soil moisture, rainfall and vegetation conditions. High rainfall was conducive to PF occurrence. In areas with high sand content, low initial soil moisture was conducive to PF occurrence (likely due to hydrophobicity), whereas high initial soil moisture was conducive to PF occurrence in areas with low sand content. Overall, vegetation, soil properties, and water conditions seem to jointly affect the factors that occur in spatial-temporal of PF, and the influence of initial soil moisture on PF varies across different sand content. Findings of this study reveal the occurrence and control factors of PF, which will improve our understanding of water cycling related to the infiltration process, recharge process and the runoff generation process at hillslope over the cold mountainous areas.

    Global rainfall partitioning by dryland vegetation: Developing general empirical models

    Whitworth-Hulse, Juan, ICid, Fabricio D.Leporati, Jorge L.Van Stan, John T....
    8页
    查看更多>>摘要:Rainfall partitioning by plant canopies can play key roles in dryland ecohydrology by altering the amount, timing and patterns of water receipt to soils. Here, we synthesized interception, throughfall and stemflow observations from 2,297 rainfall events across 40 dryland sites, including 48 plant species. Then, we developed general empirical models able to predict the response of rainfall partitioning into interception, throughfall and stemflow as a function of rainfall event size considering different functional factors (life form, bark type). Twelve linear models explained significant variability across all synthesized observations. In all cases, interception, throughfall and stemflow linearly increased as a function of rainfall event size with slope ranges of 0.149-0.174 mm of interception per mm of rainfall, 0.776-0.829 mm of throughfall per mm of rainfall, and 0.026-0.063 mm of stemflow per mm of rainfall. On the one hand, shrubs and rough-barked species presented more interception than trees and smooth-barked species, respectively. On the other hand, shrubs and smooth-barked species presented less throughfall than trees and rough-barked species, respectively. Finally, shrubs and smooth-barked species presented more stemflow than trees and rough-barked species, respectively. Our models confirm the scientific evidence found so far by other global meta-analyses but also allow us to explore the partitioning of rainfall against different scenarios. Our findings can be useful to help to predict and manage ecohydrological change in water-limited ecosystems in the context of shifting vegetation cover and climate conditions.

    The spatial hydrological structure of the western tropical Pacific derived from delta O-18 and delta D signatures

    Yang, JuanHan, LuweiSun, DongXing, Zhaohui...
    9页
    查看更多>>摘要:Lack the connection between the air-sea interaction and deep hydrological processes hinders to clarify the response of Western Pacific warm pool (WPWP) to recent global warming. In this paper, delta O-18, delta D, combined with other properties of seawater collecting during the 37th and 47th Chinese Research Expedition cruises, were measured to trace the potential hydrological processes in the tropical Pacific Ocean. The change in delta O-18 and dexcess signatures of surface water revealed that two different zones were separated at 155 degrees E along the transect. This coincided with the spatial evaporation-precipitation pattern of the Pacific Walker circulation (PWC). At station CTD03, O-18-enriched water (salinity similar to 35 psu, delta O-18 similar to 0.20 parts per thousand in average) at a depth of 100 similar to 150 m was potentially attributed to the recirculation of the Kuroshio Extension Flow (KEF). In contrast, the deep water with low delta O-18 (- 0.60 parts per thousand in average from 2000 m to 5680 m) indicated the dominant Lower Circumpolar Pacific Water (LCPW). These contributions of water mass sources to the hydrological structure of western Pacific warm pool (WPWP) were confirmed by a mass balance model. Furthermore, significant linear correlations between chlorophyll and delta O-18, as well as chlorophyll and d-excess within the upper 200 m at station CTD03, indicated that the seawater delta O-18 signature could be impacted by biogenic fractionation. The research highlights the validity of delta O-18 and d-excess to indicate both hydrological processes and watermass structure in WPWP. Further proofs based on investigation and experiments are required.

    Damming alters the particulate organic carbon sources, burial, export and estuarine biogeochemistry of rivers

    Wang, HaoRan, XiangbinBouwman, Alexander F.Wang, Junjie...
    14页
    查看更多>>摘要:The long-term changes in composition and export of particulate organic carbon (POC) by rivers due to dam construction are poorly known. Based on observations, incubation experiments and modelling, this study analyzed the sources, spatial and temporal distribution and annual export of POC in the Changjiang River during recent decades to explore the POC changes due to dam construction. Changes in POC composition resulted from both increasing POC sequestration and carbon fixation in the river basin. The allochthonous POC (from terrestrial input) export by the Changjiang River to its estuary decreased by ~90% between 1956 and 2002 and 2013-2019. We estimated that 2.3 & nbsp;+/- 0.5 Mt C/yr allochthonous POC has been sequestered in the Changjiang watershed since 2013. The autochthonous (entirely from in-stream riverine primary production) contribution increased from 1% to 55% of total POC export during the same period due to improved light transparency caused by decreased sediment discharge. Global POC trapping in nine large rivers strongly impacted by dams is 12% of the global riverine POC export. The reduced POC export and increase in labile autochthonous POC strongly impact the estuarine carbon cycle. Therefore, with continued dam construction in the future, important changes in the riverine and estuarine carbon cycle can be expected.

    Natural and reservoir-induced channel changes in the Yangtze River Tidal Reach (vol 60, 127398, 2022)

    Liu, XiaoqiangLi, MaotianChen, JingXu, Y. Jun...
    1页

    Rescue of groundwater level time series: How to visually identify and treat errors (vol 605, 127294, 2022)

    Retike, IngaBikse, JanisKalvans, AndisDelina, Aija...
    1页