An indicator to characterize hydrological alteration due to hydropeaking

Modeling is a useful way to understand human and climate change impacts on the water resources of agricultural watersheds. Calibration and validation methodologies are crucial in forecasting assessments. This study explores the best calibration methodology depending on the level of hydrological alteration due to human-derived stressors. The Soil and Water Assessment Tool (SWAT) model is used to evaluate hydrology in South-West Europe in a context of intensive agriculture and water scarcity. The Index of Hydrological Alteration (IHA) is calculated using discharge observation data. A comparison of two SWAT calibration methodologies are done; a conventional calibration (CC) based on recorded in-stream water quality and quantity and an additional calibration (AC) adding crop managements practices. Even if the water quality and quantity trends are similar between CC and AC, water balance, irrigation and crop yields are different. In the context of rainfall decrease, water yield decreases in both CC and AC, while crop productions present opposite trends (+33% in CC and −31% in AC). Hydrological performance between CC and AC is correlated to IHA: When the level of IHA is under 80%, AC methodology is necessary. The combination of both calibrations appears essential to better constrain the model and to forecast the impact of climate change or anthropogenic influences on water resources.

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Multi-index data dimension reduction approach and its applicability in the calculation of indicators of hydrological alteration

Hydrology Research ◽

10.2166/nh.2018.068 ◽

2018 ◽

Vol 50 (1) ◽

pp. 231-243 ◽

Cited By ~ 5

Author(s):

Wenhai Zhang ◽

Yangwen Jia ◽

Jinjin Ge ◽

Xiaorong Huang ◽

Guangheng Ni ◽

...

Keyword(s):

Dimension Reduction ◽

Evaluation Method ◽

Practical Application ◽

Multi Index ◽

Single Index ◽

Hydrological Alteration ◽

Computational Data ◽

Ecological Relationship ◽

Data Volume ◽

Data Requirements

AbstractThe length of record (LOR) method is an evaluation method that provides quantitative advice for the amount of computational data required for use of the indicators of hydrological alteration (IHA). The use of multi-index hydrological indicators to reflect river hydrological–ecological characteristics is the essence of the IHA method, while the LOR evaluation result using a single index does not have practical application value in the absence of IHA data volume. In this paper, we expand the LOR method from single index version into multi-index version, apply it to comprehensively analyze the credibility of hydrological alteration (HA) multi-indicators under different data volumes, and explore the relationship between multi-index LOR results and data requirements. Combined with the hydrological–ecological relationship, the practical application criteria of LOR dimension reduction under the condition of multiple HA indicators is given. The results show that the LOR results corresponding to each group of indicators in IHA have different data requirements, so an in-depth understanding of the hydrological–ecological relationship is the key to LOR's application of IHA data dimension reduction. In addition, we discuss the limitations of the LOR method of multi-index dimension reduction and its application value in IHA calculations.

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Effects of hydrological alteration on fish population structure and habitat in river system: A case study in the mid-downstream of the Hanjiang River in China

Global Ecology and Conservation ◽

10.1016/j.gecco.2020.e01090 ◽

2020 ◽

Vol 23 ◽

pp. e01090 ◽

Cited By ~ 1

Author(s):

Baiheng Yang ◽

Ming Dou ◽

Rui Xia ◽

Yi-Ming Kuo ◽

Guiqiu Li ◽

...

Keyword(s):

Population Structure ◽

River System ◽

Fish Population ◽

System A ◽

Hydrological Alteration ◽

Hanjiang River ◽

Fish Population Structure

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Gap dynamics of natural Populus euphratica floodplain forests affected by hydrological alteration along the Tarim River: Implications for restoration of the riparian forests

Forest Ecology and Management ◽

10.1016/j.foreco.2019.02.009 ◽

2019 ◽

Vol 438 ◽

pp. 103-113 ◽

Cited By ~ 6

Author(s):

Ayjamal Keram ◽

Ümüt Halik ◽

Maierdang Keyimu ◽

Tayierjiang Aishan ◽

Zulpiya Mamat ◽

...

Keyword(s):

Populus Euphratica ◽

Riparian Forests ◽

Tarim River ◽

Gap Dynamics ◽

Floodplain Forests ◽

Hydrological Alteration ◽

The Tarim River

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Hydrological alteration along the Missouri River Basin: A time series approach

Aquatic Sciences ◽

10.1007/s000270300005 ◽

2003 ◽

Vol 65 (1) ◽

pp. 63-72 ◽

Cited By ~ 66

Author(s):

Mark A. Pegg ◽

Clay L. Pierce ◽

Anindya Roy

Keyword(s):

Time Series ◽

River Basin ◽

Missouri River ◽

Hydrological Alteration ◽

Time Series Approach

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Calculation of Comprehensive Ecological Flow with Weighted Multiple Methods Considering Hydrological Alteration

Water ◽

10.3390/w10091212 ◽

2018 ◽

Vol 10 (9) ◽

pp. 1212 ◽

Cited By ~ 2

Author(s):

Zhenxiang Xing ◽

Yinan Wang ◽

Xinglong Gong ◽

Jingyan Wu ◽

Yi Ji ◽

...

Keyword(s):

Water Requirement ◽

Hydrological Process ◽

The Sanjiang Plain ◽

Flow Calculation ◽

Hydrological Alteration ◽

Ecological Water Requirement ◽

Study Results ◽

Runoff Series ◽

Ecological Flow ◽

Calculation Results

Instream ecological flow is an essential determinant of river health. Intra- and interannual distribution characteristics of runoff have been altered to different degrees by dam construction. Historical runoff series with alterations, as basic data for ecological flow calculation, provide minimal instream hydrological process information, which affects the credibility of calculation results. Considering the influence of the alterations in runoff series on ecological flow calculation, the Gini coefficient (GI) is introduced to study the evenness degrees of the intra-annual runoff distribution of four hydrological stations located in the Naolihe basin of the Sanjiang Plain. The hydrological alteration diagnosis system is used to examine the alteration points in the GI series of each hydrological station for selecting reasonable subsequences. Based on the selected subsequences, the ecological flow of each station is calculated using three hydrological methods, and the comprehensive ecological flow is calculated using weighted calculation results from the three hydrological methods. The study results show that ecological flow and natural flow have similar processes with two peaks occurring in the process in May and August, respectively. Also, dams decrease the ecological water requirement damage frequency in dry seasons, but overuse of water resources increases the ecological water requirement damage frequency in flood seasons.

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