Estimation of policy-relevant reference conditions throughout national river networks

被引:2
|
作者
Stoffels, Rick J. [1 ]
Booker, Doug J. [1 ]
Franklin, Paul A. [2 ]
Snelder, Ton H. [3 ]
Clapcott, Joanne E. [4 ]
Fragaszy, Stephen R. [5 ]
Wagenhoff, Annika [4 ]
Hickey, Chris W. [2 ]
机构
[1] Natl Inst Water & Atmospher Res, Christchurch, New Zealand
[2] Natl Inst Water & Atmospher Res, Hamilton, New Zealand
[3] Land Water People, Christchurch, New Zealand
[4] Cawthron Inst, Nelson, New Zealand
[5] Minist Environm, Wellington, New Zealand
关键词
Fine sediment; Minimally-disturbed condition; Reference state; River classification; Rivers; Streams; Suspended fine sediment; Water clarity; Water quality; ALGORITHMS; STREAMS;
D O I
10.1016/j.mex.2021.101522
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
A method for objectively estimating reference states for suspended fine sediment (turbidity) is presented. To be fit for water policy development and implementation the method had to satisfy four requirements: (1) the method must not be dependent on data from minimally-disturbed reference sites; (2) the method must facilitate characterization of reference states throughout heterogeneous river networks, given patchy data; (3) the classification of reference states must be relevant and legitimate to end-users; (4) the method should provide several classifications of reference states at different spatial resolutions allowing selection of the resolution yielding the most parsimonious classification of reference states throughout the network. Implementing the method involves two stages: (1) Development of a river classification based on sediment supply and retention regimes (defining 'turbidity classes') at multiple spatial resolutions. (2) At each resolution, for each turbidity class, estimation of a reference state based on relationships between turbidity and anthropogenic stressors, then objective selection of the resolution yielding the most parsimonious classification of reference states throughout the network. Implementing the method requires a river network GIS and turbidity data within classes, preferably from monitoring sites spanning the domains of the anthropogenic stressor variables used for model-based estimation of reference states. A method is presented for estimating reference states for suspended fine sediment (turbidity) throughout spatially heterogeneous river networks. Development of the method was guided by the requirements of policy analysts during reform of water policy in New Zealand. The method presented was used to develop fine sediment regulatory thresholds of national water policy. (C) 2021 The Authors. Published by Elsevier B.V.
引用
收藏
页数:12
相关论文
共 9 条
  • [1] Policy-Relevant Science: The Depth and Breadth of Support Networks
    Desmarais, Bruce A.
    Hird, John A.
    [J]. COMPLEX NETWORKS XI, 2020, : 385 - 392
  • [2] Policy-relevant program evaluation in a national substance abuse treatment system
    Keith Humphreys
    Eric G. Hamilton
    Rudolf H. Moos
    Richard T. Suchinsky
    [J]. The journal of mental health administration, 1997, 24 : 373 - 385
  • [3] Policy-relevant program evaluation in a national substance abuse treatment system
    Humphreys, K
    Hamilton, EG
    Moos, RH
    Suchinsky, RT
    [J]. JOURNAL OF MENTAL HEALTH ADMINISTRATION, 1997, 24 (04): : 373 - 385
  • [4] Developing policy-relevant river ish monitoring in Greece: Insights from a nationwide survey
    Economou, A. N.
    Zogaris, S.
    Vardakas, L.
    Koutsikos, N.
    Chatzinikolaou, Y.
    Kommatas, D.
    Kapakos, Y.
    Giakoumi, S.
    Oikonomou, E.
    Tachos, V.
    [J]. MEDITERRANEAN MARINE SCIENCE, 2016, 17 (01): : 302 - 322
  • [5] Monitoring for conservation in African tropical national parks: An agenda towards policy-relevant science
    Vimal, Ruppert
    [J]. BIOLOGICAL CONSERVATION, 2017, 214 : 127 - 135
  • [6] Seeking policy-relevant knowledge: a comparative study of the contextualisation of participatory scenarios for the Narew River and Lake Peipsi
    Kaljonen, Minna
    Varjopuro, Riku
    Gielczewski, Marek
    Iital, Aruo
    [J]. ENVIRONMENTAL SCIENCE & POLICY, 2012, 15 (01) : 72 - 81
  • [7] Improved Prediction of Management-Relevant Groundwater Discharge Characteristics Throughout River Networks
    Barclay, J. R.
    Starn, J. J.
    Briggs, M. A.
    Helton, A. M.
    [J]. WATER RESOURCES RESEARCH, 2020, 56 (10)
  • [8] Measuring plastic pellet (nurdle) abundance on shorelines throughout the Gulf of Mexico using citizen scientists: Establishing a platform for policy-relevant research
    Tunnell, Jace W.
    Dunning, Kelly H.
    Scheef, Lindsay P.
    Swanson, Kathleen M.
    [J]. MARINE POLLUTION BULLETIN, 2020, 151
  • [9] Representing Organic Compound Oxidation in Chemical Mechanisms for Policy-Relevant Air Quality Models under Background Troposphere Conditions
    Derwent, Richard G.
    [J]. ATMOSPHERE, 2020, 11 (02)