Concepedia

Ambient Near-source Sampling

Ambient Near-Source Sampling is a methodological approach within source sampling that involves the systematic collection of data from environments in close proximity to the origin of a phenomenon while preserving ambient contextual conditions to capture naturally occurring variations with minimal interference.

1

Publications

55

Citations

9

Authors

3

Institutions

Publications per year

2017–2026

1

Parents

Publications

1

1–1 of 1

Authors

9

  1. LE
    Liya E. Yu

    National University of Singapore, Singapore

    1 publications · 55 citations

    1

    h-index

  2. SJ
    Shiguo Jia

    Sun Yat-sen University, China

    1 publications · 55 citations

    1

    h-index

  3. CN
    Choon Nam Ong

    National University of Singapore, Singapore

    1 publications · 55 citations

    1

    h-index

  4. JT
    Jackson Tham

    United States Naval Research Laboratory, United States

    1 publications · 55 citations

    1

    h-index

  5. IM
    I Made Sudiana

    Indonesian Institute of Sciences, Indonesia

    1 publications · 55 citations

    1

    h-index

1–5 of 9

Institutions

3

  1. National University of Singapore

    Singapore, Singapore

    1 h-index

    7 publications

    385 citations

  2. United States Naval Research Laboratory

    Washington, United States

    1 h-index

    1 publications

    55 citations

  3. Indonesian Institute of Sciences

    Jakarta, Indonesia

    1 h-index

    1 publications

    55 citations

1–3 of 3

Venues

  1. Environmental Pollution

    1 publications · 55 citations

    1

    h-index

1–1