Estimation of groundwater recharge using water balance coupled with base-flow-record estimation and stable-base-flow analysis

Lee, Cheng-Haw; Chen, Weiping; Lee, Ru-Huang

doi:10.1007/s00254-006-0305-2

Cited by 80 publications

(31 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some of the catchments used by Bullock et al [1997] were rather large (8% of the catchments were >10,000 km 2 and 2% >100,000 km 2 ), which may have led to inflated BFI values due to channel routing effects. Nevertheless, the BFI map of Bullock et al [1997] and the corresponding part of our map (Figure 9a) agree well in terms of spatial patterns-both maps showed markedly higher BFI values north of $15 S. Lee et al [2006] produced a BFI map for Taiwan by interpolation of BFI values computed from the Q records of 174 gauging stations. Again, our map and that of Lee et al [2006] showed very similar spatial patterns.…”

Section: Global Maps Of Bfi and Ksupporting

confidence: 86%

“…[39] To the best of our knowledge, our study is the first attempt to estimate BFI and k globally. However, several authors have produced regional BFI maps using various methods to compute and spatially estimate BFI [Bullock et al, 1997;Haberlandt et al, 2001;Wolock, 2003;Neff et al, 2005;Lee et al, 2006;Santhi et al, 2008]. Wolock [2003] and Santhi et al [2008] produced BFI maps for the conterminous USA by interpolating the BFI values of 8249 and $8600 catchments, respectively, using the inversedistance weighting (IDW) technique.…”

Section: Global Maps Of Bfi and Kmentioning

confidence: 99%

See 1 more Smart Citation

Global patterns in base flow index and recession based on streamflow observations from 3394 catchments

et al. 2013

View full text Add to dashboard Cite

[1] Numerous previous studies have constructed models to estimate base flow characteristics from climatic and physiographic characteristics of catchments and applied these to ungauged regions. However, these studies generally used streamflow observations from a relatively small number of catchments (<200) located in small, homogeneous study areas, which may have led to less reliable models with limited applicability elsewhere. Here, we use streamflow observations from a highly heterogeneous set of 3394 catchments (<10,000 km 2 ) worldwide to construct reliable, widely applicable models based on 18 climatic and physiographic characteristics to estimate two important base flow characteristics: (1) the base flow index (BFI), defined as the ratio of long-term mean base flow to total streamflow; and (2) the base flow recession constant (k), defined as the rate of base flow decay. Regression analysis results revealed that BFI and k were related to several climatic and physiographic characteristics, notably mean annual potential evaporation, mean snow water equivalent depth, and abundance of surface water bodies. Ensembles of artificial neural networks (ANNs; obtained by subsampling the original set of catchments) were trained to estimate the base flow characteristics from climatic and physiographic data. The catchment-scale estimation of the base flow characteristics demonstrated encouraging performance with R 2 values of 0.82 for BFI and 0.72 for k. The connection weights of the trained ANNs indicated that climatic characteristics were more important for estimating k than BFI. Global maps of estimated BFI and k were obtained using global climatic and physiographic data as input to the derived models. The resulting global maps are available for free download at http://www.hydrology-amsterdam.nl.

show abstract

Section: Global Maps Of Bfi and Ksupporting

confidence: 86%

Section: Global Maps Of Bfi and Kmentioning

confidence: 99%

Global patterns in base flow index and recession based on streamflow observations from 3394 catchments

et al. 2013

View full text Add to dashboard Cite

show abstract

“…Where there are data available, recharge models are typically calibrated by (i) incorporation of their outputs into water balances (Lee et al, 2006), by (ii) comparison against surface runoff components of river flow, estimated by baseflow separation (Mansour et al, 2011) and (iii) through adjustment as part of groundwater flow model calibration (Dripps et al, 2006). They are rarely tested against measured soil moisture contents.…”

Section: Introductionmentioning

confidence: 99%

Comparison of varied complexity models simulating recharge at the field scale

Sorensen¹,

Finch

Ireson

et al. 2013

Hydrological Processes

View full text Add to dashboard Cite

Numerical models are frequently used for the regional quantification of groundwater recharge. However there is a wide range of potential models available that represent the land surface with varying degrees of complexity, but which are rarely tested against observations at the field scale. We compared four models that simulate potential recharge at four intensively monitored sites with different vegetation and soil types in two adjacent catchments. These models were: Penman–Grindley, UN Food and Agricultural Organization, SPAtial Distributed Evaporation and Joint UK Land Environment Simulator. Standardized, unoptimized land surface datasets and pertinent literature were used for parameterization to reflect practice in regional water resource management and planning in the UK. The models were validated against soil moisture observations at all sites, as well as observed transpiration and interception and calculated total evaporation over a year at a woodland site. Soil moisture observations were generally reproduced well, but there were significant differences in how the models apportioned precipitation through the hydrological cycle. This demonstrates that soil moisture data alone are not a good diagnostic for groundwater recharge models. Significant differences in potential recharge were produced by models at both grassland sites, although simulated average annual potential recharge varied by only 15% at the grassland site on permeable soil. At the woodland sites, soil moisture contents were reproduced least accurately, and there were large differences in potential recharge at both woodland sites. This predominantly resulted from varied and inaccurate simulation of evaporation, particularly in the form of interception losses where this was explicitly represented in models. Differences in model structure, such as runoff representation, and parameter selection also influenced all results. Hydrological Processes © 2013 John Wiley & Sons, Ltd.

show abstract

“…In the area under study, due to the lack of periodic assessment of the discharge of large springs, such methods produce limitations and problems in calculation of recharge (Guardiola-Albert et al 2015). Recent years showed significant improvements in assessment methods which are in direct relation to GIS software and many researchers have used these methods (Jyrkama & Sykes 2007;Scibek & Allen 2006;Marechal et al 2006;Lee et al 2006;Samper et al 2005;Conrad et al 2004;Tapia Silva & Mora Flores 2004;Peña & Arcos 2004;Bouraoui et al 1998;Burke 1995). These methods make the calculation of groundwater recharge easier through a quicker and more concise analysis (Peña & Arcos 2004).…”

Section: Hossein Alem Akbar Esmaeilzadeh Soudejani and Saba Nahas Farmmentioning

confidence: 99%

Groundwater Recharge Assessment in the Karstic Aquifers of North Khorasan, Iran in APLIS Method

Alem¹,

Soudejan²,

Farmanieh³

2017

View full text Add to dashboard Cite

IzvlečekUDK 556.33:551.44(55) Hossein Alem, Akbar Esmaeilzadeh Soudejani & Saba Nahas Farmanieh: Ocenjevanje napajanja podzemne vode v kraških vodonosnikih v severnem Horasanu, v Iranu, z uporabo metode APLIS Za optimizacijo porabe, vzdrževanja in nadzora nivoja podzemne vode je ocena napajanja vodonosnika zelo pomembna. Zato raziskava z uporabo metode APLIS, ki temelji na GIS, raziskuje vodonosnike v provinci Severni Horasan v Iranu. Pri tem smo upoštevali več pomembnih hidrogeoloških parametrov, ki vplivajo na napajanje vodonosnika, vključno z nadmorsko višino, naklonom, litologijo, tipom tal in infiltracijo. Za vsakega od parametrov smo pripravili informacije v ustreznih oblikah. Po obdelavi in integraciji podatkov smo izračunali hitrost polnjenja vodonosnika. Različne regije smo ustrezno ovrednotili. Rezultati kažejo, da se v kraških formacijah Severnega Horasana letne povprečne vrednosti v 30-letnem časovnem obdobju gibljejo med 103 mm in 362 mm, s povprečno vrednostjo 192 mm. Najmanjše, najvišje in povprečne stopnje polnjenja vodonosnika v študijskem območju so 42-, 73-in 54-odstotne. Tudi potencial polnjenja vodonosnika je v 83-odstotnih kraških formacij ocenjen kot zmeren, za preostale predele je ocenjen kot visok. Območja z nizkim potencialom polnjenja so povezana z nižje ležečimi zakraselimi apnenci in dolomiti, višje ležeča območja predstavljajo apnenci in dolomiti z višjim potencialom polnjenja. Ključne besede: upravljanje podzemnih vodnih virov, napajanje, APLIS, GIS, kras, Severni Horasan. In order to optimize consumption, maintenance and control of underground water, an estimation of the groundwater recharge is highly important. Therefore, this research investigates the aquifers in North Khorasan province using APLIS (Applied Physics Laboratory Ice Station) based on a GIS. For this purpose, several significant hydrogeological parameters affecting groundwater recharge including altitude, slope, lithology, soil type and infiltration are considered. Therefore, corresponding layers for these parameters were provided and prioritized. In the end and after integrating the data, the recharge rate was measured qualitatively and different regions were mapped accordingly. The results indicate that the annual average values on a 30-year timescale in karst formations of the North Khorasan vary between 103 mm and 362 mm, with the mean value of 192 mm. Minimum, maximum and mean recharge rates of aquifer in the study area are 42 %, 73 % and 54 %, respectively. Also, aquifer recharge potential in 83 % of the karst formations is moderate while it is high for the remaining. Low recharge regions correlate to lower karst limestone and dolostone areas in the lower altitudes while high recharge regions represent upper karst limestone and dolostone areas, especially in the high altitudes.

show abstract

Estimation of groundwater recharge using water balance coupled with base-flow-record estimation and stable-base-flow analysis

Cited by 80 publications

References 19 publications

Global patterns in base flow index and recession based on streamflow observations from 3394 catchments

Global patterns in base flow index and recession based on streamflow observations from 3394 catchments

Comparison of varied complexity models simulating recharge at the field scale

Groundwater Recharge Assessment in the Karstic Aquifers of North Khorasan, Iran in APLIS Method

Contact Info

Product

Resources

About