Assessment of urbanization impact on groundwater resources in Hanoi, Vietnam

Tam, Vu Thanh; Nga, Tran Thi Viet

doi:10.1016/j.jenvman.2018.08.087

Cited by 56 publications

(22 citation statements)

References 22 publications

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“…At least, one-third of the global population rely on groundwater for drinking (Panaskar et al 2016). While groundwater is increasingly exploited in response to population pressure (Bertrand et al 2016;Shang et al 2016;Parisi et al 2018;Cavalcante Júnior et al 2019), increased urbanization (Minnig et al 2018;Tam and Nga 2018;Hughes 2019), industrialization (Zheng et al 2019) and irrigation farming (Panaskar et al 2016;Fabbri et al 2016;Pulido-Bosch et al 2018), only about 22% of the Earth's 37 km 3 (freshwater) is found in aquifers as groundwater (Panaskar et al 2016). Remarkably, about 97% of this quantity is accessible for human use (Panaskar et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Hydrochemical characterization of shallow and deep groundwater in Basement Complex areas of southern Kebbi State, Sokoto Basin, Nigeria

et al. 2019

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Groundwater under Basement Complex areas of southern Kebbi has been characterized in order to determine its suitability for drinking and irrigation use. Water samples were drawn from shallow groundwater (hand-dug shallow wells < 5 m) and deep groundwater (boreholes > 40 m). Physical parameters (i.e., temperature, TDS, pH, and EC), were determined in situ, using handheld meters. Discrete water samples were obtained for determination of chemical parameters. Results from severalsample ANOVA (Kruskal-Wallis test) suggested that heterogeneity in water table appeared to exert significant influence on groundwater chemistry which is characterized by a significant difference in pH, EC TH, Na + , Zn 2+ , Mg 2+ , PO 4 3− , Cl − , HCO 3 − , SO 4 2− , and NO 3 − concentrations. Also, ions including Fe 3+ , Zn 2+ , Mg 2+ , Na + , PO 4 3− , and SO 4 2− are above World Health Organization (2011) and National Standard for Drinking Water Quality (2007) reference guidelines. Most of the groundwater sources are moderately hard. Groundwater classification based on chloride, EC, and TDS revealed water of excellent quality for all types of uses. However, groundwater classification based on nitrate pollution revealed water of poor quality. Rock mineral is the major mechanism controlling water chemistry, as revealed by the Gibbs model. Most of the water sources have positive Scholler index, indicative of overall base exchange reactions in the underlying aquifers. Such condition was well explained by Piper trilinear diagram, which revealed two types of faces: Ca-Mg-HCO 3 and Ca-Mg-SO 4-Cl. The HCA categorized wells into three groups according to their hydrogeochemical physiognomies. Despite the significant difference in ions concentration and chemical indices, groundwater composition is more influenced by rock weathering than anthropogenic inputs. Groundwater evaluation for irrigation use indicates a significant difference in SAR level which is related to poor permeability index in shallow groundwater. Higher values of Kelly's index and magnesium adsorption ratio threatened groundwater suitability for irrigation use in the study area.

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Section: Introductionmentioning

confidence: 99%

Hydrochemical characterization of shallow and deep groundwater in Basement Complex areas of southern Kebbi State, Sokoto Basin, Nigeria

et al. 2019

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“…Combining the calculation values with land use data can spatialize the ecological footprint, ecological capacity and ecological deficit, thus making up for the shortcomings in the spatial analysis of ecological footprint analysis. (5) In future studies, the accuracy of land use data needs to be improved. For example, the MODIS data could be replaced by Landsat data with a higher resolution.…”

Section: Discussionmentioning

confidence: 99%

“…With the rapid advancement of urbanization and the accelerated growth of urban populations per year, the demand for land and natural resources in production and life has increased rapidly, and a significant amount of cultivated land, forestland and other types of ecological land have been occupied for real estate [1,2]. The development and construction of commercial areas and industrial areas, the changes in land use, and especially the excessive spread of cities have had a negative impact on the ecosystem service function [3], by impacting on water [4,5], promoting urban climate change [6] and contributing to the destruction of biodiversity [7]. Urbanization has caused serious conflicts between humans and nature, and overload of the regional land ecological carrying capacity as well.…”

Section: Introductionmentioning

confidence: 99%

Temporal-Spatial Evolution of the Urban Ecological Footprint Based on Net Primary Productivity: A Case Study of Xuzhou Central Area, China

et al. 2019

Sustainability

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The urbanization process all over the world has caused serious ecological and environmental problems which have recently become a focus for study. Ecological footprint analysis, which is widely used to assess the sustainability of regional development, can quantitatively measure the human occupation of natural capital. In this study, the ecological footprint based on net primary production (EF-NPP) and MODIS data were used to measure the ecological footprint in Xuzhou central area from 2005 to 2014. The results showed that from 2005 to 2014, the per capita ecological footprint increased from 1.06 to 1.17 hm2/person; the per capita ecological capacity decreased from 0.10 to 0.09 hm2/person; the per capita ecological deficit increased from −0.96 to −1.09 hm2/person; and the ecological pressure index increased from 6.87 to 11.97. The composition of the ecological footprint showed that grassland contributed most to the ecological footprint and deficit, and cultivated land contributed most to the ecological capacity. The spatial distribution of the ecological footprint changed significantly, especially in the expansion of the area of lower value. The ecological capacity and deficit changed little. The ecological situation in Xuzhou central area was unbalanced. Based on this study, Xuzhou city was recommended to control the increase of the ecological footprint, improve the ecological capacity and balance the ecological pattern for sustainable development.

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“…Rapid urbanization is accelerating the transformation of urban natural surfaces, usually by reducing ecological land and increasing the impervious cover areas, which prevents rainwater from penetrating the soil [1][2][3][4][5][6][7][8]. Urban streets act as streams by collecting rainwater, thereby increasing the volume of surface runoff, which is one of the most common causes of urban waterlogging [9][10][11]. In the context of climate change, waterlogging due to rainstorms is becoming more frequent and serious in developing countries and is causing losses to the economy, as well as affecting the living environment, people's daily life, and the sustainable development strategies of cities [12].…”

Section: Introductionmentioning

confidence: 99%

Predicting Urban Waterlogging Risks by Regression Models and Internet Open-Data Sources

Tran

Dang

et al. 2020

Water

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In the context of climate change and rapid urbanization, urban waterlogging risks due to rainstorms are becoming more frequent and serious in developing countries. One of the most important means of solving this problem lies in elucidating the roles played by the spatial factors of urban surfaces that cause urban waterlogging, as well as in predicting urban waterlogging risks. We applied a regression model in ArcGIS with internet open-data sources to predict the probabilities of urban waterlogging risks in Hanoi, Vietnam, during the period 2012–2018 by considering six spatial factors of urban surfaces: population density (POP-Dens), road density (Road-Dens), distances from water bodies (DW-Dist), impervious surface percentage (ISP), normalized difference vegetation index (NDVI), and digital elevation model (DEM). The results show that the frequency of urban waterlogging occurrences is positively related to the first four factors but negatively related to NDVI, and DEM is not an important explanatory factor in the study area. The model achieved a good modeling effect and was able to explain the urban waterlogging risk with a confidence level of 67.6%. These results represent an important analytic step for urban development strategic planners in optimizing the spatial factors of urban surfaces to prevent and control urban waterlogging.

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Assessment of urbanization impact on groundwater resources in Hanoi, Vietnam

Cited by 56 publications

References 22 publications

Hydrochemical characterization of shallow and deep groundwater in Basement Complex areas of southern Kebbi State, Sokoto Basin, Nigeria

Hydrochemical characterization of shallow and deep groundwater in Basement Complex areas of southern Kebbi State, Sokoto Basin, Nigeria

Temporal-Spatial Evolution of the Urban Ecological Footprint Based on Net Primary Productivity: A Case Study of Xuzhou Central Area, China

Predicting Urban Waterlogging Risks by Regression Models and Internet Open-Data Sources

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