Using hydrological modelling and data-driven approaches to quantify mining activities impacts on centennial streamflow

被引:14
|
作者
Song, Xiaoyan [1 ]
Sun, Wenyi [2 ]
Zhang, Yongqiang [3 ]
Song, Songbai [1 ]
Li, Jiuyi [3 ]
Gao, Yanjun [4 ]
机构
[1] Northwest A&F Univ, Key Lab Agr Soil & Water Engn Arid & Semiarid Are, Minist Educ, Yangling 712100, Shaanxi, Peoples R China
[2] Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China
[3] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Datun Rd 19 A, Beijing 100101, Peoples R China
[4] Henan Univ Sci & Technol, Sch Econ, Luoyang 471023, Henan, Peoples R China
基金
中国国家自然科学基金;
关键词
Centennial streamflow; Mining activities; SIMHYD model; Budyko method; The Goulburn River; CLIMATE-CHANGE; BUDYKO HYPOTHESIS; RUNOFF; AUSTRALIA;
D O I
10.1016/j.jhydrol.2020.124764
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Exploring the impacts of mining-related human activities on catchment streamflow time series can facilitate understanding of streamflow response to external factors, including climatic inputs. This study selects the Goulburn River catchment that is located in southeastern Australia having more than 100 years of streamflow observations and more than 90 years of mining history, and divides the streamflow period from 1913 to 2015 into four sub-periods: 1913-1920 (no mining), 1921-1950 (small-scale underground mining), 1951-1980 (commence of new underground mining) and 1981-2015 (large-scale mining of open cut and underground mining). Process-based hydrological modelling (SIMHYD), simple one-parameter hydrological model (Budyko-based method) and a data-driven approach (the double mass curve, DMC), are used to assess mining-related centennial streamflow changes and to quantify relative contributions of climate variability and mining activities on streamflow. These results show that streamflow increased during periods of underground mining, which is likely due to over-pumping to sustain the underground mining. The difference between the observed streamflow and the SIMHYD simulated was very marginal in the reference period of 1913-1920; while it increased by 3.39 mm yr(-1) in 1921-1950 and by 10.51 mm yr(-1) in 1951-1980. The DMC slope increased from 0.021 in 1913-1920 to 0.025 in 1921-1950, then 0.033 in 1951-1980. These impacts of underground mining on increased streamflow have been greatly reduced and even become negative when open cut mining was largely expanded. The average difference of streamflow during the period of 1981-2015 was reduced from 10.51 mm yr(-1) to 2.84 mm yr(-1). The DMC slope decreased from 0.033 in 1951-1980 to 0.027 in 1981-2015. The contributions between climate changes and mining activities to streamflow changes estimated using these methods are consistent in trends in different mining periods, but noticeably different in magnitudes.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] Selecting and weighting dynamical models using data-driven approaches
    Le Bras, Pierre
    Sevellec, Florian
    Tandeo, Pierre
    Ruiz, Juan
    Ailliot, Pierre
    NONLINEAR PROCESSES IN GEOPHYSICS, 2024, 31 (03) : 303 - 317
  • [42] Technique for Data-Driven Mining in Physiological Sensor Data by Using Eclat Algorithm
    Kalbhor, Shraddha
    Kedar, S., V
    EMERGING TECHNOLOGIES IN DATA MINING AND INFORMATION SECURITY, IEMIS 2018, VOL 1, 2019, 755 : 419 - 427
  • [43] Topology optimisation of turbulent flow using data-driven modelling
    James Hammond
    Marco Pietropaoli
    Francesco Montomoli
    Structural and Multidisciplinary Optimization, 2022, 65
  • [44] Topology optimisation of turbulent flow using data-driven modelling
    Hammond, James
    Pietropaoli, Marco
    Montomoli, Francesco
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2022, 65 (02)
  • [45] Hydrological modelling of karst catchment using lumped conceptual and data mining models
    Sezen, Cenk
    Bezak, Nejc
    Bai, Yun
    Sraj, Mojca
    JOURNAL OF HYDROLOGY, 2019, 576 : 98 - 110
  • [46] Separating impacts of vegetation change and climate variability on streamflow using hydrological models together with vegetation data
    Li HuiYun
    Zhang YongQiang
    Wang BenDe
    SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2012, 55 (07) : 1964 - 1972
  • [47] Separating impacts of vegetation change and climate variability on streamflow using hydrological models together with vegetation data
    HuiYun Li
    YongQiang Zhang
    BenDe Wang
    Science China Technological Sciences, 2012, 55 : 1964 - 1972
  • [48] Separating impacts of vegetation change and climate variability on streamflow using hydrological models together with vegetation data
    LI HuiYun ZHANG YongQiang WANG BenDe Nanjing Institute of Geography LimnologyChinese Academy of SciencesNanjing China CSIRO Land and WaterGPO BOX Canberra ACT Australia Faculty of Infrastructure EngineeringDalian University of TechnologyDalian China
    Science China(Technological Sciences), 2012, 55 (07) : 1964 - 1972
  • [49] Separating impacts of vegetation change and climate variability on streamflow using hydrological models together with vegetation data
    LI HuiYun 1
    3 Faculty of Infrastructure Engineering
    Science China(Technological Sciences), 2012, (07) : 1964 - 1972
  • [50] Data-Driven Approaches to Detecting Misdeliveries in Truck Logistics using GPS Data
    Hidaka, Ayumu
    Shin, Ryota
    Tsuchiya, Atsushi
    Nakabayashi, Norihiko
    Okada, Yukihiko
    Shida, Yohei
    Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023, 2023, : 1922 - 1927