knb-lter-sev.190.170532

Summary Information

Rio Grande River Sonde Data from Bernalillo County, New Mexico (2006-2007)

Creator:

Individual:

David Van Horn

Physical Address:
Phone:	US

Email:

vanhorn@unm.edu

Creator:

Individual:

Clifford Dahm

Physical Address:
Delivery Address:	Sevilleta LTER, 167 Castetter Hall, University of New Mexico
City:	Albuquerque
Locality:	NM
Postal Code:	87131
Phone:	US

Email:

cdahm@sevilleta.unm.edu

Metadata Provider:

Individual:

Information Manager Sevilleta LTER

Physical Address:
Delivery Address:	1 University of New Mexico
City:	Albuquerque
Postal Code:	87131
Phone:	US

Phone:

(505) 277-2109

Phone:

(505) 277.5355

Email:

data-use@sevilleta.unm.edu

Associated Party:

Individual:

David Van Horn

Physical Address:
Phone:	US

Email:

vanhorn@unm.edu

Role:

data manager

Associated Party:

Individual:

David Van Horn

Physical Address:
Phone:	US

Email:

vanhorn@unm.edu

Role:

field crew

Publication Date:

2016-03-09

Language:

English

Abstract:

Human populations in Colorado, New Mexico and Texas depend on the Rio Grande for municipal water, agricultural irrigation, and recreation. The Rio Grande and its riparian corridor also support thousands of speciesÂ of plants, invertebrates and vertebrates, some of which include over 300 species of migratory birds and the endangered Rio Grande silvery minnow and southwestern willow flycatcher. Eutrophication and salinization are the two most important types of water quality degradation which negatively impact the human and nonhuman biological communities in this water poor region. In spite of their significance, few published studies have investigated anthropogenic and natural sources of nutrients and dissolved solids to the Rio Grande. This study investigated the patterns and trends of nutrients and dissolved solids in the Middle Rio Grande (MRG) on a monthly basis from September 2005 â€“ January 2008. During all months, wastewater treatment plants were the major source of nutrients to the MRG. Under high flow conditions, nutrient levels remained elevated for 260 river kilometers below the wastewater inputs. During months when significant portions of the river flow were diverted for irrigation, nitrate and phosphate were removed from the MRG and concentrations at the downstream end of the reach were returned to levels comparable to the un-impacted northern reach of river. Dissolved solids were added to the river by both wastewater and saline tributary inputs. Both anthropogenic and natural inputs of dissolved solids were found to affect water quality in the MRG. Continuous real-time measurements of temperature, pH, turbidity, dissolved oxygen, and conductivity also were initiated at four sites above and through the urban reach of the City of Albuquerque. Preliminary results show increasing turbidity and dissolved oxygen depletions associated with storm runoff from urban areas.Â

Keywords:
Keyword:	inorganic nutrients
Keyword Thesaurus:	Core Areas

Keywords:
Keyword:	salinity
Keyword:	urban
Keyword:	turbidity
Keyword:	water quality
Keyword:	nutrients
Keyword:	dissolved oxygen
Keyword:	water
Keyword:	rivers
Keyword Thesaurus:	LTER Controlled Vocabulary

Additional Information:

Additional Site Information: site_number,site_name,site,latitude,longitude,river_kilometer,rgtrib,IsSonde 48,Alameda_Drain,ALMDRAIN,35.20,-106.64,98.91,T,0 49,Albuqerque_Riverside_Drai,ABQRSDRN,34.95,-106.68,131.13,T,0 14,Albuqerque_WWTP,ABQCWWTP,35.02,-106.67,122.86,T,0 17,Atrisco_Drain,ATRSCDRN,34.95,-106.68,131.08,T,0 2,Bernalillo_WWTP,BERNWWTP,35.31,-106.56,81.90,T,0 12,Central_Bride_Drain,CENDRAIN,35.10,-106.69,112.51,T,0 45,Elephant_Butte,ELEBUTTE,33.15,-107.22,375.41,M,0 8,LCRDR,LCRDRAIN,35.16,-106.67,104.48,M,0 33,LFCC_at_NB_Gate_BD,LFCCNGBD,33.87,-106.85,267.50,T,0 32,LFCC_at_NCP,FCCLNCP,33.96,-106.85,257.65,T,0 35,LFCC_at_SB_Gate_BD,LFCCSGBD,33.72,-106.91,287.09,T,0 44,LFCC_at_ST_PK_Gate,LFCCSTPK,33.63,-107.00,304.64,T,0 19,LL_WWTP,LOSLWWTP,34.78,-106.73,152.10,T,0 23,LPDR1,LPDR1DRN,34.66,-106.74,166.92,T,0 25,LPDR2,LPDR2DRN,34.59,-106.75,175.02,T,0 28,L_&_J_Drain,LNJDRAIN,34.37,-106.84,203.48,T,0 10,Oxbow_Drain,OXBDRAIN,35.14,-106.69,107.70,T,0 21,Peralta,Wasteway,PERALTWW,34.69,-106.74,162.83,T,0 41,RG_Above_Isleta_(I_25),RGABVISL,34.95,-106.68,131.11,M,1 7,RG_Alameda,RGALAMED,35.16,-106.67,104.46,M,0 40,RG_Angostura,RGANGOST,35.38,-106.50,70.84,M,0 13,RG_at_Central_Br,RGCENTBR,35.09,-106.68,113.59,M,0 9,RG_at_LCRDR,RGLCRDR,35.13,-106.69,107.81,M,0 42,RG_at_NCP,RGATNCP,33.96,-106.85,257.87,M,0 11,RG_at_Oxbow,RGOXBOW,35.11,-106.69,111.10,M,0 46,RG_at_Rio_Bravo,RGRIOBRV,35.03,-106.67,121.82,M,1 43,RG_at_Shirk,RGATSHRK,0.00,0.00,128.00,M,0 37,RG_at_ST_PK_Gate,RGSTPKGT,33.58,-107.06,312.87,M,0 24,RG_Belen_Bridge,RGBLENBR,34.59,-106.75,175.02,M,0 26,RG_Belen_Tower_Site,RGBLENTW,34.55,-106.76,180.91,M,0 15,RG_Below_ABQ_WWT,RGABQWWT,0.00,0.00,125.00,M,0 3,RG_Below_Bernalillo_WWTP,RGBERLWW,35.28,-106.60,86.65,M,0 18,RG_Below_Isleta,RGBELISL,34.87,-106.72,141.95,M,0 20,RG_Below_LL_WWTP,RGLLWWTP,34.69,-106.74,162.70,M,0 22,RG_Below_Peralta,RGBLPERT,0.00,0.00,162.50,M,0 5,RG_Below_RR_WWTP,RGRRWWTP,35.20,-106.64,99.13,M,1 30,RG_Below_San_F,RGBLSANF,34.31,-106.85,211.14,M,0 1,RG_Bernalillo_550,RGBER550,35.32,-106.56,80.29,M,1 39,RG_Buckman,RGBUCKMN,35.84,-106.16,0.00,M,0 47,RG_LL_Bridge,RGLLBRDG,34.81,-106.72,148.97,M,0 34,RG_NB_GATE_BD,RGNBGTBD,33.87,-106.85,267.55,M,0 31,RG_San_Acacia,RGACACIA,34.26,-106.89,220.86,M,0 36,RG_SB_GATE_BD,RGSBGTBD,33.72,-106.91,287.23,M,0 29,Rio_Puerco,RIOPUERC,34.41,-106.85,201.73,T,0 4,Rio_Rancho_WWTP,RIORWWTP,35.26,-106.60,89.02,T,0 38,Rock_House,ROCKHOUS,33.38,-107.16,338.72,M,0 27,SanFrancisco_Drain,SFRANDRN,34.37,-106.84,203.33,T,0 50,Unit_7_Drain,UNITSVDR,34.26,-106.89,220.74,T,0

Intellectual Rights:

Data Policies

This dataset is released to the public and may be freely downloaded. Please keep the designated contact person informed of any plans to use the dataset. Consultation or collaboration with the original investigators is strongly encouraged. Publications and data products that make use of the dataset must include proper acknowledgement of the Sevilleta LTER. A copy of any publications using these data must be supplied to the Sevilleta LTER Information Manager.

Distribution:

Online:
URL:	http://sev.lternet.edu/data/sev-190

Coverage:

Geographic Goverage:

Geographic Description:

The Rio Grande River, Bernalillo 550 Bridge, is located north of Albuquerque where NM 550 to Cuba cross the river.

Bounding Coordinates:

West Bounding Coordinates:

-106.558

East Bounding Coordinates:

-106.558

North Bounding Coordinates:

35.3215

South Bounding Coordinates:

35.3215

Bounding Altitude:
Altitude Minimum:	1534
Altitude Maximum:	1534
Altitude Units:	meter

Geographic Goverage:

Geographic Description:

This site is located on the Rio Grande River Below Rio Rancho Waste Water Treatment Plant

Bounding Coordinates:

West Bounding Coordinates:

-106.641

East Bounding Coordinates:

-106.641

North Bounding Coordinates:

35.1969

South Bounding Coordinates:

35.1969

Bounding Altitude:
Altitude Minimum:	1532
Altitude Maximum:	1532
Altitude Units:	meter

Geographic Goverage:

Geographic Description:

This site is located on the Rio Grande River where Rio Bravo Blvd cross the river in the southern part of Albuquerque

Bounding Coordinates:

West Bounding Coordinates:

-106.674

East Bounding Coordinates:

-106.674

North Bounding Coordinates:

35.027

South Bounding Coordinates:

35.027

Bounding Altitude:
Altitude Minimum:	1509
Altitude Maximum:	1509
Altitude Units:	meter

Geographic Goverage:

Geographic Description:

This site is located on the Rio Grande River above Isleta and I-25

Bounding Coordinates:

West Bounding Coordinates:

-106.682

East Bounding Coordinates:

-106.682

North Bounding Coordinates:

34.9502

South Bounding Coordinates:

34.9502

Bounding Altitude:
Altitude Minimum:	1493
Altitude Maximum:	1493
Altitude Units:	meter

Temporal Coverage:

Date Range:

Begin Date:
Calendar Date:	2006-06-01

End Date:
Calendar Date:	2008-12-31

Purpose:

The objectives of this study were to: 1) conduct a detailed assessment of the temporal and spatial trends in water quality of the MRG, 2) determine sources of eutrophication and salinization along the MRG, 3) estimate instream nutrient processing and retention, 4) calculate the effects of urbanization on dissolved oxygen and stream metabolism values in the MRG, and 5) provide baseline data for future water-quality monitoring and assessment in the MRG.Â

Contact:

Position Title:

Information Manager

Organization:

LTER Network Office

Physical Address:
Delivery Address:	UNM Biology Department, MSC03-2020
Delivery Address:	1 University of New Mexico
City:	Albuquerque
Locality:	NM
Postal Code:	87131-0001
Phone:	USA

Phone:

505 277-2535

Phone:

505 277-2541

Email:

tech-support@lternet.edu

URL:

http://www.lternet.edu

Contact:

Individual:

Information Manager Sevilleta LTER

Physical Address:
Delivery Address:	1 University of New Mexico
City:	Albuquerque
Postal Code:	87131
Phone:	US

Phone:

(505) 277-2109

Phone:

(505) 277.5355

Email:

data-use@sevilleta.unm.edu

Publisher:

Individual:

Information Manager Sevilleta LTER

Physical Address:
Delivery Address:	1 University of New Mexico
City:	Albuquerque
Postal Code:	87131
Phone:	US

Phone:

(505) 277-2109

Phone:

(505) 277.5355

Email:

data-use@sevilleta.unm.edu

Publication Place:

Sevilleta LTER

Method Step:

Description:

Experimental Design: Â Four sites were chosen within the Albuquerque reach for continuous measurement of five water-quality field parameters; temperature, conductivity, pH, turbidity, and dissolved oxygen. Sites were chosen to provide instrument stability and a gradient of urban influence with the most northern site located above urban wastewater inputs and the southern site below the Bernalillo, Rio Rancho, and Albuquerque wastewater treatment plants.Â Sampling Design: Â Readings were collected every fifteen minutes.Â Field methods:Â Sondes were recalibrated in the field every two to four weeks following manufacturers specifications.

Instrumentation:

* Instrument Name: Multi-Parameter Water Quality Sonde * Manufacturer: Yellow Spring Instruments * Model Number: YSI 6920Â

Quality Control:

Description:
This data has been visually inspected to: 1) identify outliers and periods when the units were buried by sediment or were not functioning properly, and 2) examine the data for consistency of individual observations with temporal and spatial trends seen at upstream and downstream units.

Data Table:

Entity Name:

sev190_rgsonde_20121022.txt

Entity Description:

Data for SEV190

Object Name:

sev190_rgsonde_20121022.txt

Size:

10462491

Data Format:

Text Format:

Number of Header Lines:

Number of Footer Lines:

Record Delimiter:

\r\n

Attribute Orientation:

column

Simple Delimited:
Field Delimiter:	,

Distribution:

Online:
URL:	https://pasta.lternet.edu/package/data/eml/knb-lter-sev/190/170532/bf1bd93cc9b1802b83e7fa731052eeb3

Coverage:

Temporal Coverage:

Date Range:

Begin Date:
Calendar Date:	2007-12-21

End Date:
Calendar Date:	2007-12-31

Attribute List:

Attribute Name:

site_number

Attribute Label:

site_number

Attribute Definition:

Sampling site number

Storage Type:

string

Measurement Scale:

Nominal:

Non Numeric Domain:

Text Domain:
Definition:	Sampling site number

Attribute Name:

site

Attribute Label:

site

Attribute Definition:

Abbreviated sampling site name.

Storage Type:

string

Measurement Scale:

Nominal:

Non Numeric Domain:

Text Domain:
Definition:	Abbreviated sampling site name.

Attribute Name:

date

Attribute Label:

date

Attribute Definition:

Date reading was taken

Storage Type:

date

Measurement Scale:

Datetime:
Format String:	MM/DD/YYYY

Attribute Name:

time

Attribute Label:

time

Attribute Definition:

Time reading was taken

Storage Type:

date

Measurement Scale:

Datetime:
Format String:	HH:MM:SS

Attribute Name:

Temperature

Attribute Label:

Temperature

Attribute Definition:

Temperature of the water

Measurement Scale:

Ratio:

Unit:

Standard Unit:

celsius

Precision:

0.01

Numeric Domain:

Number Type:

real

Bounds:
Minimum:	0
Maximum:	100

Missing Value Code:
Code:	na
Code Explanation:	missing

Attribute Name:

Specific_Conductivity

Attribute Label:

Specific_Conductivity

Attribute Definition:

Water specific conductance

Measurement Scale:

Ratio:

Unit:

Custom Unit:

millisiemensPerCentimeter

Precision:

0.001

Numeric Domain:

Number Type:

real

Bounds:
Minimum:	0
Maximum:	100

Missing Value Code:
Code:	na
Code Explanation:	missing

Attribute Name:

Dissolved_Oxygen

Attribute Label:

Dissolved_Oxygen

Attribute Definition:

Dissolved oxygen concentration of the water

Measurement Scale:

Ratio:

Unit:

Standard Unit:

milligramsPerLiter

Precision:

0.01

Numeric Domain:

Number Type:

real

Bounds:
Minimum:	0
Maximum:	15

Missing Value Code:
Code:	na
Code Explanation:	missing

Attribute Name:

Attribute Label:

Attribute Definition:

pH of the water

Measurement Scale:

Ratio:

Unit:

Custom Unit:

Precision:

0.01

Numeric Domain:

Number Type:

real

Bounds:
Minimum:	0
Maximum:	14

Missing Value Code:
Code:	na
Code Explanation:	missing

Attribute Name:

Turbidity

Attribute Label:

Turbidity

Attribute Definition:

Turbidity of the water

Measurement Scale:

Ratio:

Unit:

Custom Unit:

nephelometric turbidity unit

Precision:

0.01

Numeric Domain:
Number Type:	real

Missing Value Code:
Code:	na
Code Explanation:	missing