Climate-change impacts in a regional karst aquifer, Texas, USA

Loáiciga, Hugo A.; Maidment, David R.; Valdés, Juan B.

doi:10.1016/s0022-1694(99)00179-1

Cited by 192 publications

(123 citation statements)

References 12 publications

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“…It consists of highly porous limestone rock, and slopes from an elevation of approximately 700 m on the Edwards Plateau to an average of 230 m along the Gulf Coast Plain (Loáiciga et al, 2000). The EA covers an area of about 5424 km 2 , which is 290 km long and between 8 and 64 km wide (Edwards Aquifer Authority, 2006).…”

Section: Study Sitementioning

confidence: 99%

“…Groundwater flows primarily from the West to the East and discharges into several large springs. Comal and San Marcos are the two largest springs discharging water from the aquifer (Loáiciga et al, 2000). According to the Edwards Aquifer Authority (2006) Figure 2) were collected from the United States Geological Survey (USGS) through the National Water Information System Web Interface (http://waterdata.usgs.gov).…”

Section: Study Sitementioning

confidence: 99%

“…It is one of the most productive regional aquifers in the United States and is the primary source of water for agricultural and municipal needs in south-central Texas (Loáiciga et al, 2000;Chen et al, 2001;Khorzad, 2003). Water extraction from the EA has been marked by protracted legal conflicts (Votteler, 2004).…”

Section: Introductionmentioning

confidence: 99%

“…Several studies describing discharge from the EA have been conducted previously (Loáiciga et al, 2000;Chen 2325Chen et al, 2001Khorzad, 2003;Ewing et al, 2006;Kurtzman and Scanlon, 2007). However, relationships between precipitation, recharge of the EA and discharge at Comal Springs are not straightforward.…”

Section: Introductionmentioning

confidence: 99%

“…Loáiciga et al (2000) examined the impact of climate change scenarios on ground water recharge in the EA and demonstrated that future climate changes are likely to result in significant reductions in aquifer discharge unless ground water pumping is curtailed. This result was not only reiterated by findings of Chen et al (2001) using a regional model that included parameters for both hydrological and economical activities, but (Chen et al, 2001) also found that water usage in the region will likely increase in the future.…”

Section: Introductionmentioning

confidence: 99%

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Discharge variability for an artesian spring of the Edwards Aquifer: Comal Springs (1933–2007)

Cox

Meng

Khedun

et al. 2009

Intl Journal of Climatology

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Daily discharge volumes of Comal Springs, the largest artesian spring of the Edwards Aquifer (EA) in Central Texas, were utilized to characterize the flow of Comal Springs for the period of record spanning . The influence of water extraction (pumping) on discharge characteristics during the record was examined and found to be statistically significant for both volume and variability of spring discharge (p < 0.01). Pumping explains approximately a quarter of the variation in annual discharge (r 2 = 0.25) and nearly a third of the daily variability (r 2 = 0.32) within the Comal Springs discharge record.Statistically significant teleconnections to flow are demonstrated within the discharge record of Comal Springs. The El Niño-Southern Oscillation (ENSO, as measured by the Southern Oscillation Index) and the Pacific Decadal Oscillation (PDO) are shown to exhibit statistically significant correlations with annual mean flow from Comal Springs. PDO modulation of ENSO results in mean flow anomalies of 21.9% between extreme quintile years. The Atlantic Multi-decadal Oscillation (AMO) appears to exert influence based on the magnitude of the index value, irrespective of its positive or negative condition (p < 0.01), with the highest quintile (based on magnitude) years correlating with strong positive flow anomalies. A composite index was developed which combines the AMO, PDO and SOI. The extreme quintile years of this index demonstrate a 32.4% divergence in flow (p < 0.01) while demonstrating a stronger skill at capturing negative flow anomalies than positive anomalies.Precipitation data, at 4-km spatial resolution, were utilized to examine the temporal and spatial correlation of water input to the EA with rates of average monthly discharge from Comal Springs. The spatial dependence of the correlation between precipitation and Comal Springs discharge indicates significant seasonal variability. Overall, the correlation between precipitation and discharge is significant for spring, summer and fall seasons and not significant for winter.

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Section: Study Sitementioning

confidence: 99%

Section: Study Sitementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Discharge variability for an artesian spring of the Edwards Aquifer: Comal Springs (1933–2007)

Cox

Meng

Khedun

et al. 2009

Intl Journal of Climatology

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Karst water resources in a changing world: Review of hydrological modeling approaches

et al. 2014

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Karst regions represent 7–12% of the Earth's continental area, and about one quarter of the global population is completely or partially dependent on drinking water from karst aquifers. Climate simulations project a strong increase in temperature and a decrease of precipitation in many karst regions in the world over the next decades. Despite this potentially bleak future, few studies specifically quantify the impact of climate change on karst water resources. This review provides an introduction to karst, its evolution, and its particular hydrological processes. We explore different conceptual models of karst systems and how they can be translated into numerical models of varying complexity and therefore varying data requirements and depths of process representation. We discuss limitations of current karst models and show that at the present state, we face a challenge in terms of data availability and information content of the available data. We conclude by providing new research directions to develop and evaluate better prediction models to address the most challenging problems of karst water resources management, including opportunities for data collection and for karst model applications at so far unprecedented scales.

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