Stable Isotope Composition of River Waters across the World
Stable isotopes of O and H in water are meaningful indicators of hydrological and ecological patterns and processes. The Global Network of Isotopes in Precipitation (GNIP) and the Global Network of Isotopes in Rivers (GNIR) are the two most important global databases of isotopes in precipitation and...
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doaj-1e95a3dd47354b9a87a17c89fc0914372020-11-25T02:34:22ZengMDPI AGWater2073-44412019-08-01119176010.3390/w11091760w11091760Stable Isotope Composition of River Waters across the WorldYi Nan0Fuqiang Tian1Hongchang Hu2Lixin Wang3Sihan Zhao4Department of Hydraulic Engineering, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Hydraulic Engineering, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Hydraulic Engineering, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Earth Sciences, Indiana University-Purdue University Indianapolis (IUPUI), Indianapolis, IN 46202, USADepartment of Hydraulic Engineering, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, ChinaStable isotopes of O and H in water are meaningful indicators of hydrological and ecological patterns and processes. The Global Network of Isotopes in Precipitation (GNIP) and the Global Network of Isotopes in Rivers (GNIR) are the two most important global databases of isotopes in precipitation and rivers. While the data of GNIP is almost globally distributed, GNIR has an incomplete spatial coverage, which hinders the utilization of river isotopes to study global hydrological cycle. To fill this knowledge gap, this study supplements GNIR and provides a river isotope database with global-coverage by the meta-analysis method, i.e., collecting 17015 additional data points from 215 published articles. Based on the newly compiled database, we find that (1) the relationship between δ<sup>18</sup>O and δ<sup>2</sup>H in river waters exhibits an asymmetric imbricate feature, and bifurcation can be observed in Africa and North America, indicating the effect of evaporation on isotopes; (2) multiple regression analysis with geographical factors indicates that spatial patterns of river isotopes are quite different across regions; (3) multiple regression with geographical and meteorological factors can well predict the river isotopes, which provides regional regression models with <i>r</i><sup>2</sup> of 0.50 to 0.89, and the best predictors in different regions are different. This work presents a global map of river isotopes and establishes a benchmark for further research on isotopes in rivers.https://www.mdpi.com/2073-4441/11/9/1760isotopesriver isotopesGNIRmeta-analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yi Nan Fuqiang Tian Hongchang Hu Lixin Wang Sihan Zhao |
spellingShingle |
Yi Nan Fuqiang Tian Hongchang Hu Lixin Wang Sihan Zhao Stable Isotope Composition of River Waters across the World Water isotopes river isotopes GNIR meta-analysis |
author_facet |
Yi Nan Fuqiang Tian Hongchang Hu Lixin Wang Sihan Zhao |
author_sort |
Yi Nan |
title |
Stable Isotope Composition of River Waters across the World |
title_short |
Stable Isotope Composition of River Waters across the World |
title_full |
Stable Isotope Composition of River Waters across the World |
title_fullStr |
Stable Isotope Composition of River Waters across the World |
title_full_unstemmed |
Stable Isotope Composition of River Waters across the World |
title_sort |
stable isotope composition of river waters across the world |
publisher |
MDPI AG |
series |
Water |
issn |
2073-4441 |
publishDate |
2019-08-01 |
description |
Stable isotopes of O and H in water are meaningful indicators of hydrological and ecological patterns and processes. The Global Network of Isotopes in Precipitation (GNIP) and the Global Network of Isotopes in Rivers (GNIR) are the two most important global databases of isotopes in precipitation and rivers. While the data of GNIP is almost globally distributed, GNIR has an incomplete spatial coverage, which hinders the utilization of river isotopes to study global hydrological cycle. To fill this knowledge gap, this study supplements GNIR and provides a river isotope database with global-coverage by the meta-analysis method, i.e., collecting 17015 additional data points from 215 published articles. Based on the newly compiled database, we find that (1) the relationship between δ<sup>18</sup>O and δ<sup>2</sup>H in river waters exhibits an asymmetric imbricate feature, and bifurcation can be observed in Africa and North America, indicating the effect of evaporation on isotopes; (2) multiple regression analysis with geographical factors indicates that spatial patterns of river isotopes are quite different across regions; (3) multiple regression with geographical and meteorological factors can well predict the river isotopes, which provides regional regression models with <i>r</i><sup>2</sup> of 0.50 to 0.89, and the best predictors in different regions are different. This work presents a global map of river isotopes and establishes a benchmark for further research on isotopes in rivers. |
topic |
isotopes river isotopes GNIR meta-analysis |
url |
https://www.mdpi.com/2073-4441/11/9/1760 |
work_keys_str_mv |
AT yinan stableisotopecompositionofriverwatersacrosstheworld AT fuqiangtian stableisotopecompositionofriverwatersacrosstheworld AT hongchanghu stableisotopecompositionofriverwatersacrosstheworld AT lixinwang stableisotopecompositionofriverwatersacrosstheworld AT sihanzhao stableisotopecompositionofriverwatersacrosstheworld |
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1724809349497356288 |