Impact of land use change on groundwater recharge in Guishui River Basin, China

Pan, Yun; Gong, Huili; Zhou, Demin; Li, Xiaojuan; Nakagoshi, Nobukazu

doi:10.1007/s11769-011-0508-7

Cited by 65 publications

(30 citation statements)

References 15 publications

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“…For example, spatially averaged infiltration rates can be reduced by urbanization [ Dams et al ., ], deforestation, and certain agricultural practices [ Dias and Nortcliff , ; Hanson et al ., ]. Forest clearing for agriculture and urbanization has reduced recharge in east Java [ Bruijnzeel , ] and urbanization has decreased recharge in China's Guishui River Basin [ Pan et al ., ] as well as across the majority of the Upper Illinois River Basin [ Arnold and Friedel , ]. Apart from land cover, soil texture also influences recharge rates [ Anuraga et al ., ; Zhang et al ., ], with clayey soils generally accommodating less recharge than sandy soils [ Cook et al ., ; Keese et al ., ].…”

Section: Introductionmentioning

confidence: 99%

Identifying long‐term empirical relationships between storm characteristics and episodic groundwater recharge

Tashie

Mirus

Pavelsky

2016

Water Resources Research

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Shallow aquifers are an important source of water resources and provide base flow to streams; yet actual rates of groundwater recharge are difficult to estimate. While climate change is predicted to increase the frequency and magnitude of extreme precipitation events, the resulting impact on groundwater recharge remains poorly understood. We quantify empirical relations between precipitation characteristics and episodic groundwater recharge for a wide variety of geographic and land use types across North Carolina. We extract storm duration, magnitude, average rate, and hourly weighted intensity from long-term precipitation records over periods of 12-35 years at 10 locations. Using time series of water table fluctuations from nearby monitoring wells, we estimate relative recharge to precipitation ratios (RPR) to identify statistical trends. Increased RPR correlates with increased storm duration, whereas RPR decreases with increasing magnitude, average rate, and intensity of precipitation. Agricultural and urban areas exhibit the greatest decrease in RPR due to increasing storm magnitude, average rate, and intensity, while naturally vegetated areas exhibit a larger increase in RPR with increased storm duration. Though RPR is generally higher during the winter than the summer, this seasonal effect is magnified in the Appalachian and Piedmont regions. These statistical trends provide valuable insights into the likely consequences of climate and land use change for water resources in subtropical climates. If, as predicted, growing seasons lengthen and the intensity of storms increases with a warming climate, decreased recharge in Appalachia, the Piedmont, and rapidly growing urban areas of the American Southeast could further limit groundwater availability.

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Section: Introductionmentioning

confidence: 99%

Identifying long‐term empirical relationships between storm characteristics and episodic groundwater recharge

Tashie

Mirus

Pavelsky

2016

Water Resources Research

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“…Streamflow may increase with the finer classified LULC datasets [38]. However, a watershed modeling analysis of urban catchments based on the SWMM model resulted in an opposite observation that using LULC datasets with coarser spatial resolution and a lower level of classification produces a higher runoff volume and TSS prediction [1].…”

Section: Resultsmentioning

confidence: 99%

Assessing the Influence of Land Use and Land Cover Datasets with Different Points in Time and Levels of Detail on Watershed Modeling in the North River Watershed, China

Huang

Pei

Zhou

et al. 2012

IJERPH

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Land use and land cover (LULC) information is an important component influencing watershed modeling with regards to hydrology and water quality in the river basin. In this study, the sensitivity of the Soil and Water Assessment Tool (SWAT) model to LULC datasets with three points in time and three levels of detail was assessed in a coastal subtropical watershed located in Southeast China. The results showed good agreement between observed and simulated values for both monthly and daily streamflow and monthly NH4+-N and TP loads. Three LULC datasets in 2002, 2007 and 2010 had relatively little influence on simulated monthly and daily streamflow, whereas they exhibited greater effects on simulated monthly NH4+-N and TP loads. When using the two LULC datasets in 2007 and 2010 compared with that in 2002, the relative differences in predicted monthly NH4+-N and TP loads were −11.0 to −7.8% and −4.8 to −9.0%, respectively. There were no significant differences in simulated monthly and daily streamflow when using the three LULC datasets with ten, five and three categories. When using LULC datasets from ten categories compared to five and three categories, the relative differences in predicted monthly NH4+-N and TP loads were −6.6 to −6.5% and −13.3 to −7.3%, respectively. Overall, the sensitivity of the SWAT model to LULC datasets with different points in time and levels of detail was lower in monthly and daily streamflow simulation than in monthly NH4+-N and TP loads prediction. This research provided helpful insights into the influence of LULC datasets on watershed modeling.

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“…19 A strong feedback between groundwater and land use exists influencing water availability for plants and groundwater recharge. [20][21][22][23] With changing climate, the value of groundwater is expected to increase to sustain agriculture and domestic use needs. 24 A review of land cover relation to groundwater in Ref.…”

Section: Introductionmentioning

confidence: 99%

Assessing seasonal land cover dynamics in the tropical Kilombero floodplain of East Africa

Kirimi

Thiong’o

Gabiri

et al. 2018

J. Appl. Rem. Sens.

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, "Assessing seasonal land cover dynamics in the tropical Kilombero floodplain of East Africa," J. Appl. Remote Sens. 12(2), 026027 (2018), doi: 10.1117/1.JRS.12.026027. Abstract. Increasing demand for food in East Africa has created a shift to utilize wetlands for food production. Lack of spatial information hampers sustainable use of the Kilombero Valley floodplain. We take advantage of multispectral data from RapidEye, Landsat-8, and Sentinel-2 to derive high temporal resolution maps along three hydrological zones of the Kilombero Valley, assess seasonal land cover dynamics, and relate these dynamics to groundwater measurements. The depth of groundwater increases from June and declines from December, consistent with the end and the beginning of the rainy season, respectively. Bare land cover over the study area was 45% to 57% and increases to 62% to 69% as the season shifts from rainy to dry seasons while vegetation coverage, which was 34% to 47%, decreased to 25% to 27%. During the dry season, 68% to 81% of the total vegetation is within the riparian zone indicating the hydrological conditions favor plant growth. Vegetation growth in the fringe and middle zones mainly relies on precipitation whereas that in the riparian zone relies on saturation from the river. Our findings exemplify the relationship between seasonal land cover change and hydrological conditions and contribute to improved understanding of the spatial-temporal land cover dynamic in the Kilombero floodplain, required for planning sustained use of the wetland. © The Authors.Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Impact of land use change on groundwater recharge in Guishui River Basin, China

Cited by 65 publications

References 15 publications

Identifying long‐term empirical relationships between storm characteristics and episodic groundwater recharge

Identifying long‐term empirical relationships between storm characteristics and episodic groundwater recharge

Assessing the Influence of Land Use and Land Cover Datasets with Different Points in Time and Levels of Detail on Watershed Modeling in the North River Watershed, China

Assessing seasonal land cover dynamics in the tropical Kilombero floodplain of East Africa

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