Spatio-temporal distribution of atmospheric chloride deposition over a small island

被引:2
|
作者
Teixeira, Paula Campos [1 ,2 ]
Ordens, Carlos M. [1 ]
McIntyre, Neil [1 ,3 ]
Pagliero, Liliana [1 ]
Crosbie, Russell [4 ]
机构
[1] Univ Queensland, Sustainable Minerals Inst, St Lucia, Qld 4072, Australia
[2] CSIRO, Environm, Dutton Pk, Qld, Australia
[3] Univ Queensland, Sch Civil Engn, St Lucia, Qld, Australia
[4] CSIRO, Environm, Glen Osmond, SA, Australia
关键词
atmospheric deposition; chloride mass balance; coastal areas; Norfolk Island; Pacific islands; rainfall; sea spray; Spatio-temporal modelling; MASS-BALANCE; GROUNDWATER RECHARGE; SPATIAL VARIABILITY; HIGH-RESOLUTION; COASTAL AREA; RAINFALL; PRECIPITATION; CATCHMENT; CORROSION; SALINITY;
D O I
10.1002/hyp.15052
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Estimating chloride deposition rates is important for several applications. The conservative nature of chloride makes it a widely used natural tracer for hydrological investigations, such as groundwater recharge estimations and catchment salt balances. Additionally, chloride deposition is used to identify the sources and pathways of air pollutants as well as predict the likelihood of corrosion in infrastructures. The variability of atmospheric chloride (Cl-) deposition is a crucial consideration in hydrological investigations, particularly in coastal areas where it can fluctuate greatly. On small islands, spatial variations of chloride deposition have been found to be particularly strong, which may lead to large estimation errors when assuming point measurements are representative of larger areas. This paper aims to improve knowledge of the factors affecting chloride deposition's spatial and temporal variability in small islands using Norfolk Island (South Pacific) as a case study. A monitoring network consisting of 15 open-site rainwater collectors was installed, from which 275 rainwater samples were collected for the period September 2020-July 2022. Total deposition rates for this period varied from 22.7 to 36.7 mg m-2 d-1 for sites located more than 400 meters from the coast. A higher variation is observed closer to the coast, with values varying from 50.9 to 1022.7 mg m-2 d-1 for sites located between 50 and 200 m from the coast. Statistical analysis shows that distance from the nearest point on the coast and elevation above sea level are significant factors contributing to spatial variability of chloride deposition, whereas period-total rainfall depth and period-average maximum daily wind gust speed significantly affect the temporal variability. This study contributes to knowledge on chloride deposition variability as well as the understanding of factors contributing to this variability in small islands. Additionally, a double exponential model for spatial distribution of chloride deposition in small islands is proposed. The variability of atmospheric chloride (Cl-) deposition is a crucial consideration in hydrological investigations, particularly in coastal areas where it can fluctuate greatly. Our analysis of a 35.7 km2 small island revealed that chloride deposition exhibited significant variation over both space and time. Multiple regression analysis identified four factors - distance from coast, elevation, rainfall, and wind gust - that explained approximately 60% of the variability in chloride deposition.image
引用
收藏
页数:17
相关论文
共 50 条
  • [21] Modeling directional spatio-temporal processes in island biogeography
    Carvalho, Jose C.
    Cardoso, Pedro
    Rigal, Francois
    Triantis, Kostas A.
    Borges, Paulo A. V.
    ECOLOGY AND EVOLUTION, 2015, 5 (20): : 4671 - 4682
  • [22] Characterizing the spatio-temporal distribution, detection, and prediction of aerosol atmospheric rivers on a global scale
    Rautela, Kuldeep Singh
    Singh, Shivam
    Goyal, Manish Kumar
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2024, 351
  • [23] SPATIO-TEMPORAL DISTRIBUTION OF POLLUTANT TRACE GASES DURING DIWALI OVER INDIA
    Nanda, Chintan
    Kant, Yogesh
    Gupta, Amitesh
    Mitra, D.
    ISPRS TC V MID-TERM SYMPOSIUM GEOSPATIAL TECHNOLOGY - PIXEL TO PEOPLE, 2018, 4-5 : 339 - 350
  • [24] Spatio-temporal distribution of intensity and frequency of extreme temperature events over Nigeria
    Ogolo, Emmanuel O.
    Ojo, Olusola S.
    Olabisi, Israel O.
    THEORETICAL AND APPLIED CLIMATOLOGY, 2024, 155 (12) : 9961 - 9980
  • [25] Atmospheric deposition of polycyclic aromatic hydrocarbons (PAHs) in Shanghai: the spatio-temporal variation and source identification
    Chen Cheng
    Chunjuan Bi
    Dongqi Wang
    Zhongjie Yu
    Zhenlou Chen
    Frontiers of Earth Science, 2018, 12 : 63 - 71
  • [26] Atmospheric deposition of polycyclic aromatic hydrocarbons (PAHs) in Shanghai: the spatio-temporal variation and source identification
    Cheng, Chen
    Bi, Chunjuan
    Wang, Dongqi
    Yu, Zhongjie
    Chen, Zhenlou
    FRONTIERS OF EARTH SCIENCE, 2018, 12 (01) : 63 - 71
  • [27] THE SPATIO-TEMPORAL DISTRIBUTION OF MESOSCALE CONVECTIVE COMPLEXES OVER SOUTHEASTERN WESTERN SIBERIA
    Koshikova, T. S.
    Pustovalov, K. N.
    Zhukova, V. A.
    Kuzhevskaya, I., V
    Nagorskiy, P. M.
    GEOSFERNYE ISSLEDOVANIYA-GEOSPHERE RESEARCH, 2021, (03): : 115 - 124
  • [28] Spatio-temporal prediction of atmospheric benzene (Part I)
    Fontes, Tania
    Barros, Nelson
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2012, 184 (02) : 893 - 902
  • [29] A consistent spatio-temporal motion estimator for atmospheric layers
    Heas, Patrick
    Memin, Etienne
    Papadakis, Nicolas
    SCALE SPACE AND VARIATIONAL METHODS IN COMPUTER VISION, PROCEEDINGS, 2007, 4485 : 251 - +
  • [30] SPATIO-TEMPORAL STRUCTURE OF ATMOSPHERIC PRECIPITATION IN WESTERN SIBERIA
    Marina, Volkova A.
    Natalya, Cheredko N.
    Arkadiy, Kuskov I.
    TOMSK STATE UNIVERSITY JOURNAL, 2009, (328): : 214 - +