Determination of the travel time and path of pollution in Iranshahr aquifer by particle-tracking model

被引:10
|
作者
Tafreshi, Amin Mohebbi [1 ]
Nakhaei, Mohammad [1 ]
Lashkari, Mahdi [2 ]
Tafreshi, Ghazaleh Mohebbi [1 ]
机构
[1] Kharazmi Univ, Coll Earth Sci, Dept Appl Geol, Tehran, Iran
[2] Expert Minist Energy, Tehran, Iran
来源
SN APPLIED SCIENCES | 2019年 / 1卷 / 12期
关键词
Groundwater flow model; Particle-tracking model; Groundwater modeling system; MODPATH; Wellhead protection area; WELLHEAD PROTECTION ZONES; BANK INFILTRATION; GROUNDWATER-FLOW; CAPTURE ZONE; DRINKING; VULNERABILITY; WATER; SYSTEM; WHPA;
D O I
10.1007/s42452-019-1596-8
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Recognitions and predictions of the contamination origin are essential steps in the protective measures to avoid well-water contamination and the first step in managing groundwater resources. In this regard, finite-difference model software (GMS 10.0.6) was used to model the transport path, the origin of contaminants and to determine the wellhead protection area in Iranshahr aquifer. Since contamination transport models require a calibrated groundwater flow model, we first prepared this model. Accordingly, after collecting all geological, meteorological, hydrological and hydrogeological data (based on the maps, geophysical tests and exploratory borehole drilling, rainfall statistics and groundwater level in exploitation wells), a database was constructed in ArcGis10.1 software and a conceptual model was developed by transporting this information to GMS software. Based on the developed model, the aquifer's groundwater level was simulated, calibrated and validated using MODFLOW2000 code in GMS software. The particle transport model in the aquifer was provided to examine and model the transport path and the origin of contaminants through MODPATH module. In the end, the aquifer wells' protection area against contaminants was illustrated. According to the results, contaminant transport path in the wells of central plains is directed from the river to the wells, in forward particle-tracking model; the maximum time taken by particles is 508,952.5 days, the minimum time is 144 days, and the average radius of 50-day wellhead protection area based on the protection against contaminations such as pathogenic bacteria in Iranshahr aquifer was determined to be about 100 m.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Determination of the travel time and path of pollution in Iranshahr aquifer by particle-tracking model
    Amin Mohebbi Tafreshi
    Mohammad Nakhaei
    Mahdi Lashkari
    Ghazaleh Mohebbi Tafreshi
    SN Applied Sciences, 2019, 1
  • [2] Particle-tracking model of outfall plumes in a tidal channel
    Liu, Song
    Li, S. Samuel
    PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT, 2013, 166 (04) : 175 - 186
  • [3] Determination of Nanoparticle Size Using a Flow Particle-Tracking Method
    Matsuura, Yusuke
    Nakamura, Ayako
    Kato, Haruhisa
    ANALYTICAL CHEMISTRY, 2018, 90 (06) : 4182 - 4187
  • [4] A particle-tracking model of spreading of fine sand sediments
    Penchev, V
    Savov, B
    Theocharis, Z
    MARITIME TRANSPORTATION AND EXPLOITATION OF OCEAN AND COASTAL RESOURCES, VOLS 1 AND 2: VOL 1: VESSELS FOR MARITIME TRANSPORTATION, 2005, : 1455 - 1462
  • [5] A particle-tracking model for simulating pollutant dispersion in the Strait of Gibraltar
    Periáñez, R
    MARINE POLLUTION BULLETIN, 2004, 49 (7-8) : 613 - 623
  • [6] Numerical investigation of pollution transport and environmental improvement measures in a tidal bay based on a Lagrangian particle-tracking model
    En-jin Zhao
    Lin Mu
    Ke Qu
    Bing Shi
    Xing-yue Ren
    Chang-bo Jiang
    WaterScienceandEngineering, 2018, 11 (01) : 23 - 38
  • [7] Numerical investigation of pollution transport and environmental improvement measures in a tidal bay based on a Lagrangian particle-tracking model
    Zhao, En-jin
    Mu, Lin
    Qu, Ke
    Shi, Bing
    Ren, Xing-yue
    Jiang, Chang-bo
    WATER SCIENCE AND ENGINEERING, 2018, 11 (01) : 23 - 38
  • [8] Lateral drift correction in time-laps images by the particle-tracking algorithm
    Marko Kreft
    Nina Vardjan
    Matjaž Stenovec
    Robert Zorec
    European Biophysics Journal, 2008, 37
  • [9] Lateral drift correction in time-laps images by the particle-tracking algorithm
    Kreft, Marko
    Vardjan, Nina
    Stenovec, Matjaz
    Zorec, Robert
    EUROPEAN BIOPHYSICS JOURNAL WITH BIOPHYSICS LETTERS, 2008, 37 (07): : 1119 - 1125
  • [10] Kinetics of actin networks formation measured by time resolved particle-tracking microrheology
    Levin, Maayan
    Sorkin, Raya
    Pine, David
    Granek, Rony
    Bernheim-Groswasser, Anne
    Roichman, Yael
    SOFT MATTER, 2020, 16 (33) : 7869 - 7876