Abstract
We have established a stable water isotope monitoring network in the Shiyang River Basin in China’arid northwest. The basin is characterized by low precipitation, high evaporation and dense population. It is the basin with the most significant ecological pressure and the greatest water resources shortage in China. The monitoring station covers the upper, middle and lower reaches of the river basin, with six observation systems: river source area, oasis area, reservoir canal system area, oasis farmland area, ecological restoration area, and salinized area. All data in the data set are differentiated by water body types (precipitation, river water, lake water, groundwater, soil water, plant water). The data set is updated annually to gradually improve each observation system and increase data from observation points. So far, the data have been obtained for five consecutive years. The data set includes stable isotope data, meteorological data and hydrological data in the Shiyang River Basin. The data set can analyze the relationship between different water bodies and water circulation in the Shiyang River Basin. This observation network’s construction provides us with stable water isotopes data and hydrometeorological data, and we can use theae data for hydrological and meteorological related scientific research. It can also provide a scientific basis for water resources utilization, water conservancy project construction, and ecological environment restoration decision-making in China’s arid areas. The data that support the findings of this study are openly available in Zhu (2021) at “Data sets of Stable water isotope monitoring network of different water bodies in Shiyang River Basin, a typical arid river in China (Supplemental Edition)”, Mendeley Data, V1, doi: 10.17632/w5rpxwf99g.1.
Highlights
Introduction arid river inChina (SupplementalEdition)”, MendeleyData, V1, doi: Hydrogen and oxygen isotopes are useful tracers in the water cycle (Zannoni et al, 2019).While the proportion of stable isotopes such as δ2H and δ18O in natural water bodies is small, δ2H and δ18O respond very quickly to environmental changes and historical record information on the c Author(s) 2021
The fractionation of isotopes runs through every link of the water cycle (Song et al.,2007; Dansgaard W, 1953;Dansgaard W, 1964)
Stable isotopes of hydrogen and oxygen in water have been widely used in the water cycle (Edwards et al, 2010; Penna et al, 2013; Timsic et al, 2014; Evaristo et al, 2015; Negrel et al, 2016), paleoclimate and paleoenvironmental evolution (Wei et al, 1994; Speelman et al, 2010; Steinman et al, 2010; Hepp et al 2015), reconstruction of pale plateau height (Thompson et al, 2000; Yao et al, 2008; Xu et al, 2015; Li et al, 2017) and other fields
Summary
Introduction arid river inChina (SupplementalEdition)”, MendeleyData, V1, doi: Hydrogen and oxygen isotopes are useful tracers in the water cycle (Zannoni et al, 2019).While the proportion of stable isotopes such as δ2H and δ18O in natural water bodies is small, δ2H and δ18O respond very quickly to environmental changes and historical record information on the c Author(s) 2021. V1, doi: Hydrogen and oxygen isotopes are useful tracers in the water cycle (Zannoni et al, 2019). Stable isotopes of hydrogen and oxygen in water have been widely used in the water cycle (Edwards et al, 2010; Penna et al, 2013; Timsic et al, 2014; Evaristo et al, 2015; Negrel et al, 2016), paleoclimate and paleoenvironmental evolution (Wei et al, 1994; Speelman et al, 2010; Steinman et al, 2010; Hepp et al 2015), reconstruction of pale plateau height (Thompson et al, 2000; Yao et al, 2008; Xu et al, 2015; Li et al, 2017) and other fields. The composition of hydrogen and oxygen isotopes in different water bodies is affected by isotope fractionation. The isotopes are widely distributed in time and space, and different water bodies have different isotope characteristics (Zhang et al, 2015; Christophe et al, 1998;). With the change of precipitation isotopes, the isotopes of surface water and groundwater will change in time and space sensitively (Yin et al, 2010)
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