Identification of Strong Karst Groundwater Runoff Belt by Cross Wavelet Transform

Jinjie Miao, Guoliang Liu, Bibo Cao, Yonghong Hao, Jianmimg Chen, Tian-Chyi J Yeh

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Karst aquifers are highly heterogeneous and exhibit hierarchical permeability structures or flow paths. Conduits and fractures typically account for less than 1 percent of the porosity of the aquifer, but more than 95 percent of the permeability. For the purposes of karst groundwater resources management, as well as of protection strategies against potential contamination, identifying the strong karst groundwater runoff belt of an entire aquifer system is generally more important than information about a specific spring. In this project, we introduce cross wavelet transform to analyze the relation between precipitation and spring discharge, and then identify the strong karst groundwater runoff belt. In highly concentrated karst areas, the precipitation signal can penetrate an aquifer relatively easily and will readily affect spring discharge. The precipitation and spring discharge are thus closely related, and the cross wavelet transform coefficients are large. Conversely, in areas of low karst concentration, the cross wavelet transform coefficients are small. We applied the method to Niangziguan Springs Basin in China to detect the strong karst groundwater runoff belt. Results showed that Pingding County and Yangquan City have a high degree of karstification (i.e. the strong karst groundwater runoff belt), Xiyang County and Shouyang County have a moderate degree of karstification, and Yuxian County, Heshun County, and Zuoquan County have a low degree of karstification. The results agree with the geological structure of Niangziguan Springs Basin.

Original languageEnglish (US)
Pages (from-to)2903-2916
Number of pages14
JournalWater Resources Management
Volume28
Issue number10
DOIs
StatePublished - 2014

Fingerprint

Runoff
Aquifers
Wavelet transforms
wavelet
karst
Groundwater
transform
runoff
Springs (water)
groundwater
karstification
aquifer
Groundwater resources
Contamination
Porosity
permeability
groundwater resource
geological structure
basin
resource management

Keywords

  • Cross wavelet transform
  • Heterogeneity
  • Niangziguan Springs
  • Precipitation
  • Spring discharge
  • Strong karst groundwater runoff belt

ASJC Scopus subject areas

  • Water Science and Technology
  • Civil and Structural Engineering

Cite this

Identification of Strong Karst Groundwater Runoff Belt by Cross Wavelet Transform. / Miao, Jinjie; Liu, Guoliang; Cao, Bibo; Hao, Yonghong; Chen, Jianmimg; Yeh, Tian-Chyi J.

In: Water Resources Management, Vol. 28, No. 10, 2014, p. 2903-2916.

Research output: Contribution to journalArticle

Miao, Jinjie ; Liu, Guoliang ; Cao, Bibo ; Hao, Yonghong ; Chen, Jianmimg ; Yeh, Tian-Chyi J. / Identification of Strong Karst Groundwater Runoff Belt by Cross Wavelet Transform. In: Water Resources Management. 2014 ; Vol. 28, No. 10. pp. 2903-2916.
@article{bdcc5f284e864310a6e627c34a49363b,
title = "Identification of Strong Karst Groundwater Runoff Belt by Cross Wavelet Transform",
abstract = "Karst aquifers are highly heterogeneous and exhibit hierarchical permeability structures or flow paths. Conduits and fractures typically account for less than 1 percent of the porosity of the aquifer, but more than 95 percent of the permeability. For the purposes of karst groundwater resources management, as well as of protection strategies against potential contamination, identifying the strong karst groundwater runoff belt of an entire aquifer system is generally more important than information about a specific spring. In this project, we introduce cross wavelet transform to analyze the relation between precipitation and spring discharge, and then identify the strong karst groundwater runoff belt. In highly concentrated karst areas, the precipitation signal can penetrate an aquifer relatively easily and will readily affect spring discharge. The precipitation and spring discharge are thus closely related, and the cross wavelet transform coefficients are large. Conversely, in areas of low karst concentration, the cross wavelet transform coefficients are small. We applied the method to Niangziguan Springs Basin in China to detect the strong karst groundwater runoff belt. Results showed that Pingding County and Yangquan City have a high degree of karstification (i.e. the strong karst groundwater runoff belt), Xiyang County and Shouyang County have a moderate degree of karstification, and Yuxian County, Heshun County, and Zuoquan County have a low degree of karstification. The results agree with the geological structure of Niangziguan Springs Basin.",
keywords = "Cross wavelet transform, Heterogeneity, Niangziguan Springs, Precipitation, Spring discharge, Strong karst groundwater runoff belt",
author = "Jinjie Miao and Guoliang Liu and Bibo Cao and Yonghong Hao and Jianmimg Chen and Yeh, {Tian-Chyi J}",
year = "2014",
doi = "10.1007/s11269-014-0645-8",
language = "English (US)",
volume = "28",
pages = "2903--2916",
journal = "Water Resources Management",
issn = "0920-4741",
publisher = "Springer Netherlands",
number = "10",

}

TY - JOUR

T1 - Identification of Strong Karst Groundwater Runoff Belt by Cross Wavelet Transform

AU - Miao, Jinjie

AU - Liu, Guoliang

AU - Cao, Bibo

AU - Hao, Yonghong

AU - Chen, Jianmimg

AU - Yeh, Tian-Chyi J

PY - 2014

Y1 - 2014

N2 - Karst aquifers are highly heterogeneous and exhibit hierarchical permeability structures or flow paths. Conduits and fractures typically account for less than 1 percent of the porosity of the aquifer, but more than 95 percent of the permeability. For the purposes of karst groundwater resources management, as well as of protection strategies against potential contamination, identifying the strong karst groundwater runoff belt of an entire aquifer system is generally more important than information about a specific spring. In this project, we introduce cross wavelet transform to analyze the relation between precipitation and spring discharge, and then identify the strong karst groundwater runoff belt. In highly concentrated karst areas, the precipitation signal can penetrate an aquifer relatively easily and will readily affect spring discharge. The precipitation and spring discharge are thus closely related, and the cross wavelet transform coefficients are large. Conversely, in areas of low karst concentration, the cross wavelet transform coefficients are small. We applied the method to Niangziguan Springs Basin in China to detect the strong karst groundwater runoff belt. Results showed that Pingding County and Yangquan City have a high degree of karstification (i.e. the strong karst groundwater runoff belt), Xiyang County and Shouyang County have a moderate degree of karstification, and Yuxian County, Heshun County, and Zuoquan County have a low degree of karstification. The results agree with the geological structure of Niangziguan Springs Basin.

AB - Karst aquifers are highly heterogeneous and exhibit hierarchical permeability structures or flow paths. Conduits and fractures typically account for less than 1 percent of the porosity of the aquifer, but more than 95 percent of the permeability. For the purposes of karst groundwater resources management, as well as of protection strategies against potential contamination, identifying the strong karst groundwater runoff belt of an entire aquifer system is generally more important than information about a specific spring. In this project, we introduce cross wavelet transform to analyze the relation between precipitation and spring discharge, and then identify the strong karst groundwater runoff belt. In highly concentrated karst areas, the precipitation signal can penetrate an aquifer relatively easily and will readily affect spring discharge. The precipitation and spring discharge are thus closely related, and the cross wavelet transform coefficients are large. Conversely, in areas of low karst concentration, the cross wavelet transform coefficients are small. We applied the method to Niangziguan Springs Basin in China to detect the strong karst groundwater runoff belt. Results showed that Pingding County and Yangquan City have a high degree of karstification (i.e. the strong karst groundwater runoff belt), Xiyang County and Shouyang County have a moderate degree of karstification, and Yuxian County, Heshun County, and Zuoquan County have a low degree of karstification. The results agree with the geological structure of Niangziguan Springs Basin.

KW - Cross wavelet transform

KW - Heterogeneity

KW - Niangziguan Springs

KW - Precipitation

KW - Spring discharge

KW - Strong karst groundwater runoff belt

UR - http://www.scopus.com/inward/record.url?scp=84903614524&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84903614524&partnerID=8YFLogxK

U2 - 10.1007/s11269-014-0645-8

DO - 10.1007/s11269-014-0645-8

M3 - Article

AN - SCOPUS:84903614524

VL - 28

SP - 2903

EP - 2916

JO - Water Resources Management

JF - Water Resources Management

SN - 0920-4741

IS - 10

ER -