Systematic evaluation of management measure effects on the water environment based on the DPSIR-Tapio decoupling model: A case study in the Chaohu Lake watershed, China.

Tingting Duan, Jiashen Feng, Yanqing Zhou, Xuan Chang, Yingxia Li
Author Information
  1. Tingting Duan: State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Haidian District, Beijing 100875, China.
  2. Jiashen Feng: State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Haidian District, Beijing 100875, China.
  3. Yanqing Zhou: State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Haidian District, Beijing 100875, China.
  4. Xuan Chang: State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Haidian District, Beijing 100875, China.
  5. Yingxia Li: State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Haidian District, Beijing 100875, China. Electronic address: yingxia@bnu.edu.cn.

Abstract

Watershed management measures have been widely implemented worldwide to reduce the water quality deterioration in rivers and lakes, which continue to face increasing stresses from human activities. Due to the complexity of influential factors within watersheds, systematic and reliable approaches are urgently needed to evaluate the effects of watershed managerial practices on scientific applications. In this study, the driving force-pressure-state-impact-response (DPSIR) model integrated by Tapio decoupling analysis was established using 30 quantitative indicators to systematically evaluate their effects on overall watershed water environmental health of Chaohu Lake watershed, China, which was under intensive management practices during 2000-2019. The DPSIR model outcomes revealed that the driving force subsystem with 7 indictors accounted for 34.2% of the watershed water environmental health, in which gross domestic product (GDP), gross industrial output value, crop planting and urbanization contributed a larger proportion. Management measure implementation positively improved the watershed water environmental health, with the second largest proportion being 23.4%. During the study period, a trend of simultaneous improvement in the water quality of the rivers and lakes existed. The Tapio decoupling analysis indicated that watershed water quality was weakly decoupled with socioeconomic development and related pressures, and management responses. The response strategy is the main force in alleviating the pressure from socioeconomic development on the watershed water quality. Overall, the method proposed in this study would improve the understanding of watershed management practice effects and provide guidance for future management measure applications.

Keywords

MeSH Term

Environmental Monitoring
Lakes
Rivers
Urbanization
Water Quality

Word Cloud

Created with Highcharts 10.0.0watershedwatermanagementqualityeffectsstudyanalysisdecouplingenvironmentalhealthChaohuLakeforcemeasureWatershedriverslakesevaluatepracticesapplicationsdrivingDPSIRmodelTapioChinagrossproportionsocioeconomicdevelopmentmeasureswidelyimplementedworldwidereducedeteriorationcontinuefaceincreasingstresseshumanactivitiesDuecomplexityinfluentialfactorswithinwatershedssystematicreliableapproachesurgentlyneededmanagerialscientificforce-pressure-state-impact-responseintegratedestablishedusing30quantitativeindicatorssystematicallyoverallintensive2000-2019outcomesrevealedsubsystem7indictorsaccounted342%domesticproductGDPindustrialoutputvaluecropplantingurbanizationcontributedlargerManagementimplementationpositivelyimprovedsecondlargest234%periodtrendsimultaneousimprovementexistedindicatedweaklydecoupledrelatedpressuresresponsesresponsestrategymainalleviatingpressureOverallmethodproposedimproveunderstandingpracticeprovideguidancefutureSystematicevaluationenvironmentbasedDPSIR-Tapiomodel:caseDrivingElasticTrend

Similar Articles

Cited By (4)