Fractal Singularity–Based Multiobjective Monitoring Networks for Reactive Species Contaminant Source Characterization-Reference-Cited by-同舟云学术

Fractal Singularity–Based Multiobjective Monitoring Networks for Reactive Species Contaminant Source Characterization

Published:2018-06 Issue:6 Volume:144 Page:04018021
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Esfahani Hamed K.¹,Datta Bithin²

Affiliation:

1. Formerly, Ph.D. Student, Discipline of Civil Engineering, College of Science and Engineering, James Cook Univ., Townsville, QLD 4811, Australia (corresponding author).

2. Senior Lecturer, Discipline of Civil Engineering, College of Science and Engineering, James Cook Univ., Townsville, QLD 4811, Australia; CRC-CARE, Univ. of New Castle, Callaghan, NSW 2308, Australia.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0000880

Reference54 articles.

1. Delineation of mineralization zones in porphyry Cu deposits by fractal concentration–volume modeling

2. Optimisation approach for pollution source identification in groundwater: an overview

3. Uncertainty based optimal monitoring network design for a chlorinated hydrocarbon contaminated site

4. Identifying gravity anomalies caused by granitic intrusions in Nanling mineral district, China: a multifractal perspective

5. Mapping singularities with stream sediment geochemical data for prediction of undiscovered mineral deposits in Gejiu, Yunnan Province, China

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