Impacts of social indicators on assessing the recovery potential of impaired watersheds

被引:3
|
作者
Sinshaw, Tadesse A. [1 ]
Surbeck, Cristiane Q. [2 ]
机构
[1] Univ Mississippi, Dept Civil Engn, University, MS 38677 USA
[2] Univ Mississippi, Sch Engn, POB 1848,236 Brevard Hall, University, MS 38677 USA
关键词
Watershed; Social indicators; Recovery potential; Sensitivity analysis; Multi-metric index; Multi-criteria decision analysis; QUALITY-OF-LIFE; MULTICRITERIA DECISION-ANALYSIS; RESOURCE MANAGEMENT; SUSTAINABILITY; RESTORATION; DEFINITION; SERVICES;
D O I
10.1016/j.jenvman.2018.04.073
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
An analysis was carried out to understand how watersheds' potential for restoration was impacted by social indicators. This study employed the USEPA Recovery Potential Screening tool, a decision support system, to compare 51 watersheds in the state of Mississippi, USA, using ecological, stressor, and social indices, and the recovery potential integrated (RPI) index. An in-depth analysis was performed on four watersheds in the Delta region of Mississippi (Lake Washington, Harris Bayou, Steele Bayou, and Coldwater River), each impaired by sediments and nutrients. Sixteen social indicators were categorized into three subcategories: Socio-Economic, Organizational, and Informational. Watersheds with lower social indices had lower RPI scores. In the particular watersheds studied, the Socio-Economic subcategory was observed to be the most impactful to the overall recovery potential when compared to the other two social subcategories. As a sensitivity analysis, a "what if" simulation was performed to explore alternatives to upgrade a watershed's social index and, consequently, the relative recovery potential of the watershed to a target level. This analysis is useful for understanding how particular social indicators of a community impact the relative potential for recovering a watershed, beyond just the ecological and stressor conditions. It also sheds light on assessing which social indicators can be improved. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:316 / 324
页数:9
相关论文
共 50 条
  • [1] Classification of watersheds into integrated social and biophysical indicators with clustering analysis
    Mayer, Alex
    Winkler, Richelle
    Fry, Lauren
    [J]. ECOLOGICAL INDICATORS, 2014, 45 : 340 - 349
  • [2] Microbiome of Bacterially Impaired Watersheds: Distribution of Potential Bacterial Pathogens
    Kincaid, John C.
    Owen, Marc R.
    Pavlowsky, Robert T.
    Mirza, Babur S.
    [J]. DIVERSITY-BASEL, 2022, 14 (02):
  • [3] Assessing potential health impacts of waste recovery and reuse business models in Hanoi, Vietnam
    Winkler, Mirko S.
    Fuhrimann, Samuel
    Phuc Pham-Duc
    Cisse, Gueladio
    Utzinger, Jurg
    Hung Nguyen-Viet
    [J]. INTERNATIONAL JOURNAL OF PUBLIC HEALTH, 2017, 62 : S7 - S16
  • [4] Assessing social indicators in PIRLS 2001
    Groeneveld, Imke
    [J]. INTERNATIONAL JOURNAL OF PSYCHOLOGY, 2008, 43 (3-4) : 312 - 312
  • [5] Potential climate chance impacts on mountain watersheds in the Pacific Northwest
    Leung, LR
    Wigmosta, MS
    [J]. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 1999, 35 (06): : 1463 - 1471
  • [6] Framework for Assessing Indicators of Environmental Impacts in the Transport Sector
    Joumard, Robert
    Gudmundsson, Henrik
    Folkeson, Lennart
    [J]. TRANSPORTATION RESEARCH RECORD, 2011, (2242) : 55 - 63
  • [7] Indicators and tools for assessing sustainability impacts of the forest bioeconomy
    Karvonen, Jaakko
    Halder, Pradipta
    Kangas, Jyrki
    Leskinen, Pekka
    [J]. FOREST ECOSYSTEMS, 2017, 4
  • [8] Indicators and tools for assessing sustainability impacts of the forest bioeconomy
    Jaakko Karvonen
    Pradipta Halder
    Jyrki Kangas
    Pekka Leskinen
    [J]. Forest Ecosystems, 2017, 4 (02) : 103 - 122
  • [9] Using Social Indicators to Evaluate the Effectiveness of Outreach in Two Indiana Watersheds
    Busse, Rebecca
    Ulrich-Schad, Jessica
    Crighton, Lyn
    Peel, Sara
    Genskow, Ken
    Prokopy, Linda
    [J]. JOURNAL OF CONTEMPORARY WATER RESEARCH & EDUCATION, 2015, 156 (01) : 5 - 20
  • [10] Social indicators for assessing the regional development level
    Turdean, Marinella
    [J]. METALURGIA INTERNATIONAL, 2008, 13 (03): : 59 - 64