Impact of urbanization on groundwater recharge and urban water balance for the city of Hyderabad, India

Wakode, Hemant Balwant; Baier, Klaus; Jha, Ramakar; Azzam, Rafig

doi:10.1016/j.iswcr.2017.10.003

Cited by 179 publications

(72 citation statements)

References 10 publications

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“…On the one hand, various studies reported an increase in the surface runoff due to the increase in urban areas [78,79], resulting in the rising frequency of flood occurrences. On the other hand, it has been stated that the groundwater recharge might be reduced with the urbanization expansion because of the increase in impervious cover [80]. As a consequence, the negative correlation between the total runoff coefficient and the percentage of urban land in both the wet and dry seasons in the long-term span figured out in the present study potentially lead to the high risk of the water scarcity and flooding, especially the flash and urban floods in the future.…”

Section: Discussionmentioning

confidence: 55%

Long-Term Variation of Runoff Coefficient during Dry and Wet Seasons Due to Climate Change

Ghafouri‐Azar

Bae

2019

Water

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This study investigates the future long-term variation of the runoff coefficient during dry and wet seasons in five major basins in South Korea. The variation is estimated from the Soil and Water Assessment Tool (SWAT) model outputs based on an ensemble of 13 different Coupled Model Intercomparison Project Phase 5 (CMIP5) general circulation models (GCMs) in representative concentration pathway (RCP) 4.5 and RCP 8.5 scenarios. The estimates show a temporal non-considerable increase rate of the runoff coefficient during the 21st century in both RCPs, in which the trend and uncertainty of the runoff coefficient in the dry season is projected as higher than that in the wet season. A sharp contrast between the trends of the two components of the runoff coefficient is found during the dry and wet seasons. Over the five major basins, a higher increase rate of runoff coefficient is projected in the northeastern part of the Han River basin and most of the area of the Nakdong River basin. The spatial variation in the runoff coefficient change also represents a relationship with the change in the percentage of each land cover/land use type over 109 subbasins, where the correlation of the wet-season runoff coefficient is calculated as higher than that of the dry season. This relationship is expected to vary with changes in temperature and precipitation during both seasons in three future periods.

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Section: Discussionmentioning

confidence: 55%

Long-Term Variation of Runoff Coefficient during Dry and Wet Seasons Due to Climate Change

Ghafouri‐Azar

Bae

2019

Water

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“…The effect of urbanization on water recharge is complex and the impact will depend on the features of the area, construction density, infrastructure to manage storm water, sewage systems, and water supply infrastructure [62]. However, the effect of urban growth can be mitigated by reducing evapotranspiration rates, and other, maybe new, matters may consequentially enhance recharge in some urban environments, such as leaks from sewage and water distribution systems and directing runoff into recharge infrastructure [45,63]. Unfortunately, urban growth is usually caused by population growth, which increases groundwater abstraction to meet the increasing water demand, and this can lead to increasing groundwater depletion.…”

Section: Discussionmentioning

confidence: 99%

Climate Change, Land Use/Land Cover Change, and Population Growth as Drivers of Groundwater Depletion in the Central Valleys, Oaxaca, Mexico

et al. 2019

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Groundwater depletion is an important problem driven by population growth, land use and land cover (LULC) change, climate change, and other factors. Groundwater depletion generates water stress and encourages unstainable resource use. The aim of this study is to determine how population growth, LULC change, and climate change relate to groundwater depletion in the Alto Atoyac sub-basin, Oaxaca, Mexico. Twenty-five years of dry season water table data from 1984 to 2009 are analyzed to examine annual groundwater depletion. Kriging is used to interpolate the region’s groundwater levels in a geographic information system (GIS) from mapped point measurements. An analysis of remotely sensed data revealed patterns of LULC change during a 34-year (1986–2018) period, using a supervised, machine-learning classification algorithm to calculate the changes in LULC. This analysis is shown to have an 85% accuracy. A global circulation model (GFDL-CM3) and the RCP4.5 and RCP8.5 scenarios were used to estimate the effects of climate change on the region’s groundwater. Estimates of evapotranspiration (using HELP3.5 code) and runoff (USDA-SCS-CN), were calculated. Since 1984, the region’s mean annual temperature has increased 1.79 °C and urban areas have increased at a rate of 2.3 km2/year. Population growth has increased water consumption by 97.93 × 106 m3/year. The volume of groundwater is shrinking at a rate of 284.34 × 106 m3/year, reflecting the extreme pressure on groundwater supply in the region. This research reveals the nature of the direct impacts that climate change, changing LULCs, and population growth have in the process of groundwater depletion.

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“…Foster () raises awareness for the interdependence between groundwater and urbanization, studying developing cities of Asia and South America. Many case studies model the urban groundwater systems with different approaches and at different scales (Zhu et al ; Held et al ; Kelly ; Umezawa et al ; Christian et al ; Hosono et al ; Kumar et al ; Passerello et al ; Kruse et al ; Abe et al ; Di Salvo et al ; Gessner et al ; Hyndman et al ; Wakode et al ).…”

Section: Introductionmentioning

confidence: 99%

Groundwater Complexity in Urban Catchments: Shenzhen, Southern China

Lancia

Chen

et al. 2019

Groundwater

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Groundwater interactions with surface water and sewers in an urban setting are complex, and classic hydrogeological approaches must be combined with anthropogenic elements to characterize them. The level of detail needed to understand these interactions is illustrated by the analysis of an urban subcatchment in the megacity of Shenzhen in southern China that has had a drastic urban expansion in the last 40 years. The study area is characterized by the Yanshanian granite that is widespread across southern-eastern China. The urban setting is studied using multitemporal analysis of satellite images, borehole investigations and field surveys. Given the local hydrostratigraphy, a conceptual model was developed to identify the physical and anthropogenic factors that regulate the urban groundwater system. Based on the conceptual model and the data collected from the field or compiled from the literature, the average annual effective recharge is estimated to be 290 mm/year, after the urbanization process. From rural to urban conditions, it is estimated that the effective recharge increased by 170% and sewers intercept at least 23% of the effective recharge. Groundwater captured by sewers reduces river flows and increases the required capacity and costs for waste water treatment plants.

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Impact of urbanization on groundwater recharge and urban water balance for the city of Hyderabad, India

Cited by 179 publications

References 10 publications

Long-Term Variation of Runoff Coefficient during Dry and Wet Seasons Due to Climate Change

Long-Term Variation of Runoff Coefficient during Dry and Wet Seasons Due to Climate Change

Climate Change, Land Use/Land Cover Change, and Population Growth as Drivers of Groundwater Depletion in the Central Valleys, Oaxaca, Mexico

Groundwater Complexity in Urban Catchments: Shenzhen, Southern China

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