Effect of Teleconnection Patterns on the Formation of Potential Ecological Flow Variables in Lowland Rivers DOI Open Access
Karolina Gurjazkaitė, Vytautas Akstinas, Diana Meilutytė-Lukauskienė

и другие.

Water, Год журнала: 2023, Номер 16(1), С. 66 - 66

Опубликована: Дек. 23, 2023

Climate is probably the most important factor affecting river discharge and flow dynamics. Low flows in rivers during warm period cause stress to aquatic ecosystems pose a challenge sustainable water management. Previous research has shown that average minimum of 30 driest continuous days, known as Q30, suitable measure for ecological estimation Lithuania. This study aims examine whether large-scale atmospheric processes, so-called teleconnections, can have an impact on Q30 period. Hydrological data 1961–2020 from 25 gauging stations were used search hydrological response signals with five selected climate indices (NAO, SCA, POL, EA/WR, EA). Pearson correlation Wilcoxon–Mann–Whitney test approaches applied. The results suggested EA/WR NAO had strongest influence studied region positive phases tended greater decrease values due prevailing easterly edge anticyclonic circulation over determined by indices, while negative mentioned caused increase dispersion Q30.

Язык: Английский

Identifying Non-Perennial River Reaches: A Hybrid Model Combining WEP-L and Random Forest DOI Open Access

Kangqi Yuan,

Junying Chu, Zuhao Zhou

и другие.

Sustainability, Год журнала: 2024, Номер 16(23), С. 10543 - 10543

Опубликована: Дек. 1, 2024

The proportion of non-perennial rivers within the global river network is increasing, and research on these has significantly grown in recent years due to their important role water resource management ecosystems. However, existing identification methods primarily rely networks with monitoring data often overlook temporal variation flow, limiting further analysis. We propose a novel approach that couples WEP-L model random forest prediction, based comprehensive analysis limitations current methods. Specifically, this method involves simulating flow incorporating time-series forecasting facilitate rivers. This also divides into seasonal non-significantly by analysis, providing theoretical foundation for studying causes formulating conservation strategies. Using Yellow River basin Gansu province as case study, results indicate total length 13,085.67 km, accounting 42.09% region’s length. cessation periods significant are fall winter, while concentrated summer. findings provide valuable guidance ecological sustainable rivers, both other regions. introduction application expected improve contributing long-term sustainability resources.

Язык: Английский

Процитировано

1

Proposal for analysis of minimum ecological flow regimes based on the achievement of technical and environmental objectives: Tagus River basin case study (Spain) DOI
Domingo Baeza Sanz, Beatriz Larraz,

Patricia Chacón Calvo

и другие.

Environmental Earth Sciences, Год журнала: 2024, Номер 84(1)

Опубликована: Дек. 23, 2024

Язык: Английский

Процитировано

1

Addressing large scale patterns of no-flow events in rivers: An in-depth analysis with Achelous software DOI
Christina Papadaki, Pantelis Mitropoulos, Yiannis Panagopoulos

и другие.

Journal of Hydrology, Год журнала: 2024, Номер unknown, С. 132160 - 132160

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

0

Changes in water age during dry-down of a non-perennial stream DOI Creative Commons
Logan J. Swenson, Samuel C. Zipper, Delaney Peterson

и другие.

EarthArXiv (California Digital Library), Год журнала: 2023, Номер unknown

Опубликована: Фев. 10, 2023

Non-perennial streams, which lack year-round flow, are widespread globally. Identifying the sources of water that sustain flow in non-perennial streams is necessary to understand their potential impacts on downstream resources, and guide policy management. Here, we used isotopes (δ18O δ2H) two different modeling approaches investigate spatiotemporal dynamics young fractions (Fyw) a stream network at Konza Prairie (KS, USA) during 2021 summer dry-down season, as well over several years with varying hydrometeorological conditions. Using Bayesian model, found substantial amount (Fyw: 39.1 62.6%) sustained flows headwaters catchment outlet year, while 2015-2022 contributions estimated using sinusoidal models indicated smaller Fyw amounts (15.3% ± 5.7). Both indicate releases highly sensitive hydrological conditions, streamwater shifting older dries. The shift age suggests away from rapid fracture towards slower matrix creates but localized surface presence late reflected annual outlet. proportion highlights vulnerability short-term hydroclimatic change, late-summer reveals sensitivity longer-term changes groundwater dynamics. Combined, this local may propagate through networks influence availability quality.

Язык: Английский

Процитировано

0

Effect of Teleconnection Patterns on the Formation of Potential Ecological Flow Variables in Lowland Rivers DOI Open Access
Karolina Gurjazkaitė, Vytautas Akstinas, Diana Meilutytė-Lukauskienė

и другие.

Water, Год журнала: 2023, Номер 16(1), С. 66 - 66

Опубликована: Дек. 23, 2023

Climate is probably the most important factor affecting river discharge and flow dynamics. Low flows in rivers during warm period cause stress to aquatic ecosystems pose a challenge sustainable water management. Previous research has shown that average minimum of 30 driest continuous days, known as Q30, suitable measure for ecological estimation Lithuania. This study aims examine whether large-scale atmospheric processes, so-called teleconnections, can have an impact on Q30 period. Hydrological data 1961–2020 from 25 gauging stations were used search hydrological response signals with five selected climate indices (NAO, SCA, POL, EA/WR, EA). Pearson correlation Wilcoxon–Mann–Whitney test approaches applied. The results suggested EA/WR NAO had strongest influence studied region positive phases tended greater decrease values due prevailing easterly edge anticyclonic circulation over determined by indices, while negative mentioned caused increase dispersion Q30.

Язык: Английский

Процитировано

0