A study on a river health assessment method based on ecological flow

Ma, Diaoyuan; Luo, Wenjing; Yang, Guolu; Lu, Jing; Fan, Yangzhen

doi:10.1016/j.ecolmodel.2018.11.023

Cited by 37 publications

(19 citation statements)

References 27 publications

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“…The ecological water demand inside the river refers to the water demand to maintain the environmental functions of the river (Yan et al 2012); this demand was mainly determined by the suitable ecological flow at control sections of the river (Singh 2017;Ma et al 2019). The distribution of existing hydrological stations and related relevant observation data in the study area were used to select the river control sections (Figure 2).…”

Section: Water Demand Of Ecologymentioning

confidence: 99%

The optimal allocation of water resources oriented to prioritizing ecological needs using multiple schemes in the Shaying River Basin (Henan Section), China

Tao

et al. 2021

Water Supply

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China is actively exploring water resources management considering ecological priorities. The Shaying River Basin (Henan Section) serves as an important grain production base in China. However, conflicts for water between humans and the environment are becoming increasingly prominent. The present study analyzed the optimal allocation of water while considering ecological priorities in the Shaying River Basin (Henan Section). The ecological water demand was calculated by the Tennant and the representative station methods; then, based on the predicted water supply and demand in 2030, an optimal allocation model was established, giving priority to meeting ecological objectives while including social and comprehensive economic benefit objectives. After solving the model, the optimal results of three established schemes were obtained. This revealed that scheme 1 and scheme 2 failed to satisfy the water demand of the study area in 2030 by only the current conditions and strengthening water conservation, respectively. Scheme 3 was the best scheme, which could balance the water supply and demand by adding new water supply based on strengthening water conservation and maximizing the benefits. Therefore, the actual water allocation in 2030 is forecast to be 7.514 billion (7.514 × 109) m3. This study could help basin water management departments deal with water use and supply.

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Section: Water Demand Of Ecologymentioning

confidence: 99%

The optimal allocation of water resources oriented to prioritizing ecological needs using multiple schemes in the Shaying River Basin (Henan Section), China

Tao

et al. 2021

Water Supply

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“…Natural flow is considered to be a major driver of aquatic ecosystems. Maintaining natural hydrologic variation is critical to protecting the integrity of local river biota and river ecosystems (James et al 2018; Ma et al 2019). Water flow affects a range of services, including freshwater supply, water purification, and flood control (Dierauer et al 2012; Remo et al 2012).…”

Section: Summary Of Restoration Strategies For Wetland System Hcmentioning

confidence: 99%

Methodologies and Management Framework for Restoration of Wetland Hydrologic Connectivity: A Synthesis

Meng

Liu

Bao

et al. 2020

Integr Envir Assess & Manag

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Under the dual influences of high‐intensity anthropogenic activity and climate change, wetland hydrologic connectivity (HC) has decreased significantly, resulting in the severe fragmentation of wetlands, a decrease in wetland area, and a degradation of hydrological functions, resulting in a worsening disaster response to floods and droughts. Dynamic changes in wetland HC are affected by a variety of factors. Many degraded wetlands have undergone measures to restore HC. Recovery can improve the HC pattern of degraded wetlands. Based on the knowledge of practitioners and a review of the literature, it was found that recovery measures can be divided into structural recovery and functional recovery according to the specific recovery objectives. However, the current recovery method lacks a holistic analysis of the HC pattern. To this end, we propose a hydrologic network–water balance‐based HC recovery and management framework that overcomes the limitations of single‐drive‐factor repair and local repair effects. Integr Environ Assess Manag 2020;16:438–451. © 2020 SETAC

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“…River health is one kind of metaphor likes human health and veterinary health, which is indicated to overall status of a river in particularly ecological function and biodiversity required to meet enough expectation of burgeoning human social needs along with sustainable development (Meyer 1997;Ma et al 2019). Contrastingly, human satisfaction, response and physical, chemical, biological resilience capacities are controlled the river's well being state (Fairweather 1999;Sadat et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Multifunctional Resilience of River Health to Human Service Demand: A Comparison among Fuzzy Logic, Entropy and AHP Based MCDM Models

Bhattacharya

Chatterjee

Das

2021

Preprint

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Ecosystem services of river for human beings are guided by harmonious relationship; however over growing human service demands (HSDs) are leading to deteriorate the river health connotation. In this study, an assessment index system of monsoonal quarried river health including twenty indicators consisting of riparian, morphological, hydroecological and social structure were established to detect the multifunctional threshold of river system integrity in respect to HSDs at upper (US), middle (MS), lower segments (LS) of Kangsabati River using fuzzy logic, AHP and entropy based multi-criteria decision matrix (MCDM) methods i.e. vlseKriterijumska optimizacija I Kompromisno Resenje (VIKOR), simple additive weighing (SAW), complex proportion assessment of alternatives (COPRAS), weighted aggregated sum product assessment (WASPAS), technique for order preference by similarity to ideal solution (TOPSIS). The results revealed that overall indicators performance is generally healthy in MS, medium health level in US but mostly unhealthy in LS; and AHP and fuzzy MCDM methods assigned as high priority rank to MS, medium rank to US and least rank to LS, while entropy MCDM methods gives highest rank to US, medium rank to MS and least rank to LS, respectively. According to model validation performances, fuzzy and AHP MCDM methods are signified to HSDs, and results are closer to real problems, whereas entropy MCDM methods are rationalized to harmonic relationship of riverine system. With the acceptability of AHP SAW and WASPASS, it can be concluded that over HSDs is main culprit for river health degradation, and research results are identified the sick sites for ecological restoration.

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A study on a river health assessment method based on ecological flow

Cited by 37 publications

References 27 publications

The optimal allocation of water resources oriented to prioritizing ecological needs using multiple schemes in the Shaying River Basin (Henan Section), China

The optimal allocation of water resources oriented to prioritizing ecological needs using multiple schemes in the Shaying River Basin (Henan Section), China

Methodologies and Management Framework for Restoration of Wetland Hydrologic Connectivity: A Synthesis

Evaluating the Multifunctional Resilience of River Health to Human Service Demand: A Comparison among Fuzzy Logic, Entropy and AHP Based MCDM Models

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