Review on status of groundwater database and application prospect in deep-time digital earth plan

Qiu, Wenkai; Ma, Teng; Wang, Yanxin; Cheng, Jianmei; Su, Chunli; Li, Junxia

doi:10.1016/j.gsf.2022.101383

Cited by 16 publications

(6 citation statements)

References 35 publications

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“…The heterogeneity of variations in hydrological fluxes with LULC change over the years challenges how to realize the possible effects [54]. Qualifying and quantifying the spatiotemporal variations of groundwater recharge based on updated spatial information are indispensable for watershed sustainability [13,55]. Nonetheless, basic information on the spatiotemporal patterns of LULC change and its effect on GRSURQ in Ethiopia is rarely understood, while water and food security are central issues.…”

Section: Introductionmentioning

confidence: 99%

Impacts and Implications of Land Use Land Cover Dynamics on Groundwater Recharge and Surface Runoff in East African Watershed

Mengistu

Chung

Kim

et al. 2022

Water

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Assessing the spatiotemporal dynamics of land use land cover (LULC) change on water resources is vital for watershed sustainability and developing proper management strategies. Evaluating LULC scenarios synergistically with hydrologic modeling affords substantial evidence of factors that govern hydrologic processes. Hence, this study assessed the spatiotemporal effects and implications of LULC dynamics on groundwater recharge and surface runoff in Gilgel Gibe, an East African watershed, using the Soil and Water Assessment Tool (SWAT) model. Three different LULC maps (2000, 2010, and 2020) were derived from Landsat images, and the comparisons pointed out that the land-use pattern had changed significantly. The agricultural land and grassland cover increased by 3.76% and 1.36%, respectively, from 2000 to 2020. The implications acquired for 2000 show that forested land covers decreased by 5.49% in 2020. The SWAT simulation process was executed using a digital elevation model, soil, LULC, and weather data. The model was calibrated and validated using streamflow data to understand the surface runoff and groundwater recharge responses of each Hydrologic Response Units on reference simulation periods using the Calibration and Uncertainty Program (SWAT-CUP), Sequential Uncertainty Fitting (SUFI-2) algorithm. The observed and simulated streamflows were checked for performance indices of coefficient of determination (R2), Nash–Sutcliffe model efficiency (NSE), and percent bias (PBIAS) on monthly time steps. The results show that there is good agreement for all LULC simulations, both calibration and validation periods (R2 & NSE ≥ 0.84, −15 < PBIAS < +15). This reveals that for the LULC assessment of any hydrological modeling, the simulation of each reference period should be calibrated to have reasonable outputs. The study indicated that surface runoff has increased while groundwater decreased over the last two decades. The temporal variation revealed that the highest recharge and runoff occurred during the wet seasons. Thus, the study can support maximizing water management strategies and reducing adverse driving environmental forces.

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Section: Introductionmentioning

confidence: 99%

Impacts and Implications of Land Use Land Cover Dynamics on Groundwater Recharge and Surface Runoff in East African Watershed

Mengistu

Chung

Kim

et al. 2022

Water

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“…Moreover, UG water resource databases are relatively well established in many countries. For example, the United States' National Water Information System provides groundwater data for all states, and China's Water Resources and Environmental Geology Confidence Platform includes 10,168 national-level groundwater monitoring stations [162]. With the support of such rich data resources, future economic value assessments of underground spaces may no longer simply involve the straightforward application of traditional direct assessment methods.…”

Section: Economic Value Evaluation Will Attempt To Incorporate Automa...mentioning

confidence: 99%

A Review of Research on the Value Evaluation of Urban Underground Space

Wu,

Wen,

2024

Land

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The contradiction between urban construction and sustainable development has led to an increasing demand for urban underground space (UUS). The value evaluation of urban underground space (UUSVE) is of great significance in promoting the rational development of UUS. Currently, no study has reviewed the literature on UUSVE. This paper provides a preliminary review of the legal basis and element composition of UUS, and the themes, evaluation objects, and evaluation methods of UUSVE, attempting to clarify the current status of UUSVE and analyze its future development trends. Finally, by summarizing the legal basis, element composition, research status and trends of UUSVE, three suggestions to strengthen UUSVE are proposed: (1) to strengthen the research on the shortcomings of UUSVE methods; (2) to build an evaluation index library and case library; and (3) to emphasize interdisciplinary collaboration, with a particular focus on the application research of machine learning.

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“…Existing groundwater databases focus on one or several properties or characteristics of groundwater, such as water levels, hydrochemistry, water resources, and basin recharge rates. Therefore, applying big data technology to groundwater associated with other earth sciences proves challenging, requiring original data and relatively comprehensive groundwater properties [36]. It is indeed recognized that many environmental/hydrological management questions cannot be adequately addressed by single-discipline studies [37].…”

Section: Criteria For Group Discriminationmentioning

confidence: 99%

Groundwaters in the Auvergne-Rhône-Alpes Region, France: Grouping Homogeneous Groundwater Bodies for Optimized Monitoring and Protection

Ayach,

Lazar,

Lamat

et al. 2024

Water

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The number and diversity of groundwater bodies (GWBs) in large French administrative regions pose challenges to their monitoring and protection by regional health agencies. To overcome this obstacle, we propose, for the Auvergne-Rhône-Alpes region (about 70,000 km2), a grouping of GWBs into homogeneous groups based on the sources of variability within a large dataset of groundwater physico-chemical and bacteriological characteristics (8078 observations and 13 parameters). This grouping involved a dimensional reduction in the data hyperspace by principal component analysis (PCA) and a clustering based on the mean values of each GWB on the factorial axes. The information lost when clustering from the sample point scale to the GWB scale and then to that of the GWB group was quantified by analysis of variance and showed that grouping GWBs is accompanied by a small loss of information. A discriminant analysis confirmed the high spatial and temporal variability within the dataset, as well as the effectiveness of the proposed method for establishing homogeneous sets. Some roadmaps for more targeted monitoring of water resources were briefly proposed.

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Review on status of groundwater database and application prospect in deep-time digital earth plan

Cited by 16 publications

References 35 publications

Impacts and Implications of Land Use Land Cover Dynamics on Groundwater Recharge and Surface Runoff in East African Watershed

Impacts and Implications of Land Use Land Cover Dynamics on Groundwater Recharge and Surface Runoff in East African Watershed

A Review of Research on the Value Evaluation of Urban Underground Space

Groundwaters in the Auvergne-Rhône-Alpes Region, France: Grouping Homogeneous Groundwater Bodies for Optimized Monitoring and Protection

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