Modeling the Spatial Flows of Nitrogen: The Case of Xiamen DOI Creative Commons
Yanmin Li, Tianqi Zhang, Shihang Wang

и другие.

Atmosphere, Год журнала: 2024, Номер 15(11), С. 1328 - 1328

Опубликована: Ноя. 4, 2024

Rapid city expansion and intensive human activities have remarkably affected nitrogen flow, leading to increasingly intricate spatial heterogeneity of flow. Focused on the temporal characteristics flow at certain scales, existing research has missed comprehensive grid-scale models for To address this gap, study develops a model by incorporating both natural anthropic processes. Taking Xiamen as its case, utilizes grid technology analysis build detailed scale. The results in 2015 revealed that hotspots input were primarily located surrounding areas outside east Xiamen, with maximum reaching 20.07 × 104 kg/ha. However, load atmosphere concentrated urban center (i.e., Island) nearby sea areas. outputs can reach 18.32 kg/ha, which is 18 times total output water environment. Additionally, it was found significant gradient correlation exists between population density. These findings provide support low-nitrogen planning emission reduction policymaking.

Язык: Английский

Groundwater hydrochemical signatures, nitrate sources, and potential health risks in a typical karst catchment of North China using hydrochemistry and multiple stable isotopes DOI
Wang Shou, Jing Chen, Shuxuan Zhang

и другие.

Environmental Geochemistry and Health, Год журнала: 2024, Номер 46(5)

Опубликована: Апрель 9, 2024

Язык: Английский

Процитировано

8

Modeling the Spatial Flows of Nitrogen: The Case of Xiamen DOI Creative Commons
Yanmin Li, Tianqi Zhang, Shihang Wang

и другие.

Atmosphere, Год журнала: 2024, Номер 15(11), С. 1328 - 1328

Опубликована: Ноя. 4, 2024

Rapid city expansion and intensive human activities have remarkably affected nitrogen flow, leading to increasingly intricate spatial heterogeneity of flow. Focused on the temporal characteristics flow at certain scales, existing research has missed comprehensive grid-scale models for To address this gap, study develops a model by incorporating both natural anthropic processes. Taking Xiamen as its case, utilizes grid technology analysis build detailed scale. The results in 2015 revealed that hotspots input were primarily located surrounding areas outside east Xiamen, with maximum reaching 20.07 × 104 kg/ha. However, load atmosphere concentrated urban center (i.e., Island) nearby sea areas. outputs can reach 18.32 kg/ha, which is 18 times total output water environment. Additionally, it was found significant gradient correlation exists between population density. These findings provide support low-nitrogen planning emission reduction policymaking.

Язык: Английский

Процитировано

0