Publication Details

Category Text Publication
Reference Category Journals
DOI 10.5194/hess-22-1239-2018
Title (Primary) What controls the stable isotope composition of precipitation in the Mekong Delta? A model-based statistical approach
Author Le Duy, N.; Heidbüchel, I.; Meyer, H.; Merz, B.; Apel, H.
Source Titel Hydrology and Earth System Sciences
Year 2018
Department HDG
Volume 22
Issue 2
Page From 1239
Page To 1262
Language englisch
Supplements https://www.hydrol-earth-syst-sci.net/22/1239/2018/hess-22-1239-2018-supplement.pdf
Abstract

This study analyzes the influence of local and regional climatic factors on the stable isotopic composition of rainfall in the Vietnamese Mekong Delta (VMD) as part of the Asian monsoon region. It is based on 1.5 years of weekly rainfall samples. In the first step, the isotopic composition of the samples is analyzed by local meteoric water lines (LMWLs) and single-factor linear correlations. Additionally, the contribution of several regional and local factors is quantified by multiple linear regression (MLR) of all possible factor combinations and by relative importance analysis. This approach is novel for the interpretation of isotopic records and enables an objective quantification of the explained variance in isotopic records for individual factors. In this study, the local factors are extracted from local climate records, while the regional factors are derived from atmospheric backward trajectories of water particles. The regional factors, i.e., precipitation, temperature, relative humidity and the length of backward trajectories, are combined with equivalent local climatic parameters to explain the response variables δ18O, δ2H, and d-excess of precipitation at the station of measurement.

The results indicate that (i) MLR can better explain the isotopic variation in precipitation (R2= 0.8) compared to single-factor linear regression (R2= 0.3); (ii) the isotopic variation in precipitation is controlled dominantly by regional moisture regimes ( 70 %) compared to local climatic conditions ( 30 %); (iii) the most important climatic parameter during the rainy season is the precipitation amount along the trajectories of air mass movement; (iv) the influence of local precipitation amount and temperature is not significant during the rainy season, unlike the regional precipitation amount effect; (v) secondary fractionation processes (e.g., sub-cloud evaporation) can be identified through the d-excess and take place mainly in the dry season, either locally for δ18O and δ2H, or along the air mass trajectories for d-excess. The analysis shows that regional and local factors vary in importance over the seasons and that the source regions and transport pathways, and particularly the climatic conditions along the pathways, have a large influence on the isotopic composition of rainfall. Although the general results have been reported qualitatively in previous studies (proving the validity of the approach), the proposed method provides quantitative estimates of the controlling factors, both for the whole data set and for distinct seasons. Therefore, it is argued that the approach constitutes an advancement in the statistical analysis of isotopic records in rainfall that can supplement or precede more complex studies utilizing atmospheric models. Due to its relative simplicity, the method can be easily transferred to other regions, or extended with other factors.

The results illustrate that the interpretation of the isotopic composition of precipitation as a recorder of local climatic conditions, as for example performed for paleorecords of water isotopes, may not be adequate in the southern part of the Indochinese Peninsula, and likely neither in other regions affected by monsoon processes. However, the presented approach could open a pathway towards better and seasonally differentiated reconstruction of paleoclimates based on isotopic records.

Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=23235
Le Duy, N., Heidbüchel, I., Meyer, H., Merz, B., Apel, H. (2018):
What controls the stable isotope composition of precipitation in the Mekong Delta? A model-based statistical approach
Hydrol. Earth Syst. Sci. 22 (2), 1239 - 1262 10.5194/hess-22-1239-2018