Recharge and baseflow constrained by surface-water and groundwater chemistry: case study of the Chari River, Chad basin

Gonçalvès, Julio; Nour, Abdallah Mahamat; Bouchez, Camille; Deschamps, Pierre; Vallet‐Coulomb, Christine

doi:10.1007/s10040-020-02259-y

Cited by 4 publications

(1 citation statement)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Given that base ow is released slowly when it ows through the soil matrix and maintains a relatively stable ow volume for a long time (Beck et al 2013), it has important ecological functions, such as regulating the seasonal distribution of river ow (Gan et al 2015), maintaining the aquatic habitat under extreme weather conditions (Fan et al 2013), and transferring physical and chemical substances (Bosch et al 2017). Su cient river discharge must be ensured based on the e cient quanti cation or prediction of base ow source (Goncalves et al 2020). However, the spatial variation and generation of base ow remain unclear due to the small number of gauging stations and the complex aquifer condition.…”

Section: Introductionmentioning

confidence: 99%

Catchment natural driving factors and prediction of baseflow index for Continental United States based on Random Forest technique

Huang

Dong

Zhang

et al. 2021

Stoch Environ Res Risk Assess

View full text Add to dashboard Cite

Base ow plays a critical role in maintaining the aquatic environmental health. However, the driving factors and predictions of base ow have not been rigorously investigated on a large scale, partly preventing hydrologist from deeply understanding runoff generation. To this end, the Lyne-Hollick (LH) digital lter method and the automatic base ow identi cation technique (ABIT) were used to estimate the long-term and seasonal base ow index (BFI) of 619 catchments across Continental United States (CONUS) from 1981 to 2014. Six natural driving factors are selected from the 31 catchment attributes about topography and location, soil, geology, land cover, and climate characteristics. The Random Forest (RF) technique was used to predict the BFI with the selected six driving factors as predictors. Results show that the long-term average BFI was 0.49, and the BFI value was different in four seasons, with the highest value of 0.55 in winter and the lowest value of 0.46 in autumn. The forest fraction, clay proportion and snow fraction were the most powerful factors affecting the long-term average BFI. The RF technique predicts the BFI across the 619 sites in CONUS with a R 2 of 0.59 after Leave-One-Location cross-validation, which was more satisfactory than the multiple linear regression method. This study can provide a deep insight into the generation and variation of base ow and guide the annual base ow prediction for water resources management.

show abstract

Section: Introductionmentioning

confidence: 99%

Catchment natural driving factors and prediction of baseflow index for Continental United States based on Random Forest technique

Huang

Dong

Zhang

et al. 2021

Stoch Environ Res Risk Assess

View full text Add to dashboard Cite

show abstract

The Role of Space-Based Observations for Groundwater Resource Monitoring over Africa

et al. 2023

View full text Add to dashboard Cite

Africa is particularly vulnerable to climate change impacts, which threatens food security, ecosystem protection and restoration initiatives, and fresh water resources availability and quality. Groundwater largely contributes to the mitigation of climate change effects by offering short- to long-term transient water storage. However, groundwater storage remains extremely difficult to monitor. In this paper, we review the strengths and weaknesses of satellite remote sensing techniques for addressing groundwater quantity issues with a focus on GRACE space gravimetry, as well as concepts to combine satellite observations with numerical models and ground observations. One particular focus is the quantification of changes in groundwater resources in the different climatic regions of Africa and the discussion of possible climatic and anthropogenic drivers. We include a thorough literature review on studies that use satellite observations for groundwater research in Africa. Finally, we identify gaps in research and possible future directions for employing satellite remote sensing to groundwater monitoring and management on the African continent. Article Highlights Overview on the distribution and characteristics of African groundwater resources including future projections Combination of satellite and in situ observations with numerical models allows us to obtain a synoptic view of groundwater-related processes Summary of current concepts and achievements of satellite remote sensing-based groundwater monitoring and decision making over Africa

show abstract

The Lake Chad transboundary aquifer. Estimation of groundwater fluxes through international borders from regional numerical modeling

Vaquero

Siavashani

Garcia-Martínez

et al. 2021

Journal of Hydrology: Regional Studies

View full text Add to dashboard Cite

Recharge and baseflow constrained by surface-water and groundwater chemistry: case study of the Chari River, Chad basin

Cited by 4 publications

References 58 publications

Catchment natural driving factors and prediction of baseflow index for Continental United States based on Random Forest technique

Catchment natural driving factors and prediction of baseflow index for Continental United States based on Random Forest technique

The Role of Space-Based Observations for Groundwater Resource Monitoring over Africa

The Lake Chad transboundary aquifer. Estimation of groundwater fluxes through international borders from regional numerical modeling

Contact Info

Product

Resources

About