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ALLENDE-PIEDRAS NEGRAS TRANSBOUNDARY AQUIFER: AN INITIAL MODELING ASSESSMENT ALLENDE-PIEDRAS NEGRAS TRANSBOUNDARY AQUIFER: AN INITIAL MODELING ASSESSMENT

ALLENDE-PIEDRAS NEGRAS TRANSBOUNDARY AQUIFER: AN INITIAL MODELING ASSESSMENT - PowerPoint Presentation

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ALLENDE-PIEDRAS NEGRAS TRANSBOUNDARY AQUIFER: AN INITIAL MODELING ASSESSMENT - PPT Presentation

1 Laura Rodriguez Lozada Rosario Sanchez Flores Hongbin Zhan LOCATION AREA 2 P500 mm yr T20º C ET433 mm yr 5368 km² 5368 km² 36 potential transboundary aquifers have been identified in the MexicanUS border Sanchez etal 2016 ID: 794903

aquifer water grace transboundary water aquifer transboundary grace remote sensing data rates levels 2002 boghici objectives level droughts aquifers

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Slide1

ALLENDE-PIEDRAS NEGRAS TRANSBOUNDARY AQUIFER: AN INITIAL MODELING ASSESSMENT

1

Laura Rodriguez Lozada

Rosario Sanchez Flores

Hongbin

Zhan

Slide2

LOCATION AREA

2

P=500 mm/

yr

T=20º C ET=433 mm/

yr

5368 km²

5368 km²

Slide3

36 potential transboundary aquifers have been identified in the Mexican-U.S border (Sanchez et.al., 2016).

16 aquifers were identified as transboundary. Only 11 aquifers recognized officially as transboundary by Mexico and the United States

.The Allende-Piedras

Negras

aquifer between Texas

and Mexico

, has been identified as transboundary

but

has not been recognized officially by both countries or at international level.

The purpose of this work is to demonstrate hydrogeological linkages of this aquifer at transboundary level to offer new information that could support its identification and recognition at international level.

3

BACKGROUND

Slide4

BACKGROUND

4

Previous studies:Castillo (2000), Boghici (2002), Lesser (2008) and Conagua

(2014).

M

ainly focused on the Mexico side.

Models developed for the central portion of the aquifer

.

Slide5

BACKGROUND

5

Castillo (2000)

Boghici

(2002)

Lesser (2008)

Conagua

(2014)

Slide6

OBJECTIVES

6

To include Texas and southern portions of the aquifer to better understand

the transboundary nature of the system

Boghici

(2002)

Slide7

OBJECTIVES

7

To understand how groundwater flow across and near border region and determine significant variables of change

Modified from

Boghici

(2002)

Slide8

8

To update the aquifer model with recent information (water wells, remote sensing data)Model comparison using remote sensing data (

GRACE-Gravity Recovery And Climate Experiment)

Water budget analysis

SPECIFIC OBJECTIVES

Slide9

9

Forecasting groundwater under different scenarios (pumping rates, droughts)Evaluation of the application of the methodology in other transboundary aquifers

SPECIFIC OBJECTIVES

Slide10

HYPOTHESIS

10Groundwater levels are significantly affected by higher pumping rates.

Severe drought periods affect groundwater levels.High pumping rates impacts water quality in the aquifer.

Slide11

METHODOLOGY

11Aquifer geometry and delineation

Data collection on:Water levels measured from wells.Annual river flow rates from river gages.

Annual precipitation and evapotranspiration from remote sensing images (TMPA and GLDAS).

Slide12

METHODOLOGY

12Data collection on:

GRACE water storativity changes (Gravity Recovery And Climate Experiment-total water

storativity

changes obtained from gravimetric measurements)

Hydraulic parameters selection

(n, K, T, S)

Slide13

METHODOLOGY

LimitationsThis research is considering only the modeling on the quaternary and tertiary alluvium deposits (Reynosa-Goliad formations and alluvium deposits)

13

Slide14

RESULTS

14

Burro Mountains

Rio Grande

Modified from

Grupo

Modelo

(2003)

Slide15

RESULTS

15

Burro Mountains

Rio Grande

Aquifer recharge (conglomerate) by water infiltration-springs

Recharge

Artisan

Well

Springs

Agriculture wells

Nava-Zaragoza area

Slide16

RESULTS

16

T = 0.4 m /s

2

TDS > 1000 ppm

Ss

= 0.001

n = Good (0.25)

b = 40 m (

Mx

) – 25 m (

Tx

)

K = 160 – 430 m/day

Slide17

RESULTS

17

*Taken from CONAGUA (2011)

0 to -2 m water levels change from 2008-2011

Aug-09

Sep-11

Aug-12

Sep-08

Feb-10

Apr-15

-0.35 m from GRACE

300

m

i

Slide18

18

PRECIPITATION (TMPA)

Identification of droughts from remote sensing data

TOTAL WATER STORATIVITY (GRACE)

TEMPERATURE (MODIS)

Slide19

19

Infiltration from precipitation takes from 2 to 4 weeks to reach the water table

PRECIPITATION (TMPA)

TOTAL WATER STORATIVITY (GRACE)

Slide20

CONCLUSIONS

20Using remote sensing data

to recognize the droughts described by Mexican institutions during past years. Combined parameters help identify dry and wet periods.

Allende –

Piedras

Negras

aquifer is a small area to

attempt an analysis based on GRACE. After comparing water

level changes of the period 2008-2011 and GRACE values, differences on water storage are considerable. It could be due to the low spatial resolution of remote sensing data.

Infiltration takes around 2 to 4 weeks to be reflected on the water table. It will be depending on the lithology of the aquifer, and can be an important feature to explain aquifer vulnerability to

droughts and recovery rates.