Source Apportionment of Particulate Matter Based on Carbon Isotope Mass Balance Model

2013 ◽  
Vol 295-298 ◽  
pp. 1565-1569 ◽  
Author(s):  
Jian Qiang Zhang ◽  
Lin Peng ◽  
Hui Ling Bai ◽  
Xiao Feng Liu ◽  
Ling Mu

In the process of source apportionment for particulate matter by mass balance model, the colinearity between various source profiles leads to the different analyzing results. For this reason, carbon isotopic apportionment based on the difference in carbon isotopic composition of particulate from different sources was put forward in this study. On the basis of chemical mass balance model, carbon isotope mass balance model is built to discriminate the sources including soil dust, coal dust and vehicle exhaust dust. This improved method has been used in the source apportionment of particulate in Taiyuan, and the results showed that the contributions of vehicle exhaust dust, coal dust and soil dust to air particulate in Taiyuan are 45%,13% and 18% respectively in heating season, while 23%,21% and16% in non-heating season. Therefore, the control of ash fly from burning coal is a long-term and arduous task.

2018 ◽  
Author(s):  
Daniel Enrique Ibarra

The widespread lake systems of the Basin and Range during the late Pleistocene indicate substantially greater moisture availability during glacial periods relative to modern. To determine the hydrography of the most recent lake cycle, we dated shoreline tufa deposits from wave-cut lake terraces in Surprise Valley, California. The lake hydrograph is constrained by 230Th-U ages on 22 tufa samples paired with 15 radiocarbon ages. This new lake hydrograph places the highest lake level 176 m above the present- day playa at >15.23 ± 0.36 ka cal BP (14C age). During the Last Glacial Maximum (LGM, ~19 to 26 ka), Lake Surprise stood at moderate levels, 65 to 99 m above modern playa. Temporally, the Lake Surprise highstand slightly postdates the Lake Lahontan highstand and corresponds to several post-LGM highstands and stillstands of smaller lake systems farther east. To further evaluate climatic forcings associated with lake-level changes, we use an oxygen isotope mass balance model combined with an analysis of predictions from the Paleoclimate Model Intercomparison Project 3 (PMIP3) climate model ensemble. Our isotope mass balance model predicts minimal precipitation increases of only 2.5 to 18.2% (average = 9.5%) during the LGM relative to modern, compared to an approximately 75% increase in precipitation during the 15.23 ka highstand when lake surface area increased by 138%. LGM PMIP3 climate model simulations corroborate these findings, predicting an average precipitation increase of only 6.5% relative to modern, accompanied by a 28% decrease in total evaporation propelled by a 7°C decrease in mean annual temperature. LGM climate model simulations also suggest a seasonal decoupling of runoff and precipitation, with peak runoff shifting to the late spring. Based on our coupled analysis, we propose that moderate lake levels during the LGM were driven by reduced evaporation, a result of reduced summer insolation, and not by increased precipitation. Reduced evaporation primed Basin and Range lake systems, particularly smaller, isolated basins such as Surprise Valley, to rapidly respond to increased precipitation during late-Heinrich Stadial 1 (HS1, ~14.5 to 19 ka). Post-LGM highstands were potentially driven by increased rainfall during HS1 brought by latitudinally extensive and strengthened mid-latitude westerly storm tracks, the effects of which are recorded in the lacustrine and glacial records as far south as ~32°N. These results suggest that seasonal insolation, in particular the effect of summer insolation on lake evaporation, provides a previously under-investigated long-term driver of moisture availability in the western United States.


2021 ◽  
Vol 25 (6) ◽  
pp. 3731-3757
Author(s):  
Janie Masse-Dufresne ◽  
Florent Barbecot ◽  
Paul Baudron ◽  
John Gibson

Abstract. Isotope mass balance models have undergone significant developments in the last decade, demonstrating their utility for assessing the spatial and temporal variability in hydrological processes and revealing significant value for baseline assessment in remote and/or flood-affected settings where direct measurement of surface water fluxes to lakes (i.e. stream gauging) are difficult to perform. In this study, we demonstrate that isotopic mass balance modelling can be used to provide evidence of the relative importance of direct floodwater inputs and temporary subsurface storage of floodwater at ungauged lake systems. A volume-dependent transient isotopic mass balance model was developed for an artificial lake (named lake A) in southern Quebec (Canada). This lake typically receives substantial floodwater inputs during the spring freshet period as an ephemeral hydraulic connection with a 150 000 km2 large watershed is established. First-order water flux estimates to lake A allow for impacts of floodwater inputs to be highlighted within the annual water budget. The isotopic mass balance model has revealed that groundwater and surface water inputs account for 60 %–71 % and 39 %–28 % of the total annual water inputs to lake A, respectively, which demonstrates an inherent dependence of the lake on groundwater. However, when considering the potential temporary subsurface storage of floodwater, the partitioning between groundwater and surface water inputs tends to equalize, and the lake A water budget is found to be more resilient to groundwater quantity and quality changes. Our findings suggest not only that floodwater fluxes to lake A have an impact on its dynamics during springtime but also significantly influence its long-term water balance and help to inform, understand, and predict future water quality variations. From a global perspective, this knowledge is useful for establishing regional-scale management strategies for maintaining water quality at flood-affected lakes, for predicting the response of artificial recharge systems in such settings, and for mitigating impacts due to land use and climate changes.


Sign in / Sign up

Export Citation Format

Share Document