Revealing temporal variation of baseflow and its underlying causes in the source region of the Yangtze River (China)

Hydrology Research, Год журнала: 2024, Номер 55(3), С. 392 - 411

Опубликована: Фев. 29, 2024

Abstract Baseflow plays a crucial role in sustaining the alpine ecosystem during rainless or cold periods. Despite its importance, information on how and why baseflow has changed source region of Yangtze River (SRYR) is sparse. In our study, statistical analysis elastic coefficient method were used to identify dynamic characteristics underlying causes. The results show that monthly contributed 62–97% runoff with mean value 75%, they followed remarkable increasing trends from 1957 2020. contributions precipitation, temperature, evapotranspiration, ecological conservation programs (ECPs) variations 86, 53, −15, −24%, respectively. However, their differed across months. During warm months May September, precipitation played dominant role, by evapotranspiration. contrast, other colder months, temperature was dominant; meanwhile, effect almost absent. Moreover, climatic change had hysteretic variation, maximum lag time 10 Our highlighted critical roles both indicated climate change, rather than ECPs, dominated variation SRYR.

Язык: Английский

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Assessment of changes in land use/land cover and land surface temperature in a fast-growing urban agglomeration of Southern India

Environment Development and Sustainability, Год журнала: 2024, Номер unknown

Опубликована: Фев. 6, 2024

Язык: Английский

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Identifying the possible driving mechanisms in Precipitation-Runoff relationships with nonstationary and nonlinear theory approaches

Journal of Hydrology, Год журнала: 2024, Номер 639, С. 131535 - 131535

Опубликована: Июнь 18, 2024

Язык: Английский

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Detection of land use/land cover changes in a watershed: A case study of the Murredu watershed in Telangana state, India

Watershed Ecology and the Environment, Год журнала: 2022, Номер 5, С. 46 - 55

Опубликована: Дек. 19, 2022

Land-use change refers to a in how particular area of land is utilised or managed by humans. Land-cover some continuous features the land, such as vegetation type, soil conditions, and so on. For purpose identifying change-vulnerable areas creating sustainable ecosystem services, mapping quantifying state use/land cover (LULC) changes change-causing factors are crucial. The present research utilizes geographic information system (GIS) remote sensing (RS) techniques categorise identify Murredu watershed Telangana state, India, between 1996 2019. Five major LULC categories (agricultural forest, barren built-up area, waterbodies) from satellite images 2019 were mapped. maximum likelihood approach was used supervise classification process, high-resolution Google Earth Pro evaluate accuracy classified map. evaluated using error matrix Kappa statistics. Overall for image found be 90 % with overall kappa statistics 85.98%. From these findings, detection analysis shows that agricultural areas, waterbodies has increased 5.17%, 3.39%, 0.84%, 0.26%, respectively, forest decreased 9.67% at same time. Therefore, this anticipates findings might provide planners, managers, decision-makers management development natural resource.

Язык: Английский

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Impacts of climate and land use/cover changes on the sustainability of irrigation water in West Africa: a systematic review

All Earth, Год журнала: 2024, Номер 36(1), С. 1 - 13

Опубликована: Янв. 31, 2024

Climate and LULC changes have a great influence on the hydrological processes which include evapotranspiration, infiltration, surface runoff, groundwater flow, stream discharge regime. This study aims to review existing literature impacts of climate, sustainability irrigation water in West Africa. The future Africa will be driven by strong external factors, such as rapid population growth, climate change, change. annual average temperature is between 25.9 34°C. Rising temperatures affected all sectors, including resources, increased demand, agricultural production. Reduction precipitation reduce river flows increase evaporation due drier atmosphere, thereby reducing amount available reservoirs for irrigation. current demand freshwater purposes expected triple 2050. From 1997 2018, forest area decreased 24.6%, while residential land areas 140% 11.7%, respectively, Effective mitigation adaptation measures are policy issue observed adverse availability

Язык: Английский

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Short‐term biogeomorphology of a gravel‐bed river: Integrating remote sensing with hydraulic modelling and field analysis

Earth Surface Processes and Landforms, Год журнала: 2024, Номер 49(3), С. 1156 - 1178

Опубликована: Янв. 23, 2024

Abstract In recent decades, fluvial geomorphology and ecohydraulic research have extensively used field observations, remote sensing or hydrodynamic modelling to understand river systems. This study presents an innovative approach that combines surveys, Light Detection Ranging (LiDAR)‐based topographical biomass analyses model‐derived hydro‐morphodynamic geostatistics examine short‐term biogeomorphological changes in the wandering gravel‐bed Orco River Italy. Our primary hypothesis is hydro‐morphological variables can be robust descriptors for riparian vegetation distribution. From a geomorphological perspective, our confirms prevalent behaviour of River. Moreover, we identified widening trend braiding anabranching sections, particularly downstream. evident because hotspots flood‐induced morphological reactivation redistribution sediments from riverbed lateral bars, resulting multi‐thread pattern. analysis reveals net increase during observation period despite frequent flood disturbances. We attributed it two opposing dynamics: reduced flow disturbance some regions due self‐healing connectivity through wandering. Such indicates transitional rivers store carbon form their instability different timescales between adjustments. Finally, supported initial with three key findings: (i) signature not just on topography but also conditions, summarised by inundation probability; (ii) lower variance vertical vegetated areas compared bare ones; (iii) introduction new parameter, named viscosity , derived product mean bed shear stress average duration, as discriminating factor colonisation conditions. These results underscore value comprehensive approach.

Язык: Английский

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Attribution of the Climate and Land Use Change Impact on the Hydrological Processes of Athabasca River Basin, Canada

Hydrology, Год журнала: 2025, Номер 12(1), С. 7 - 7

Опубликована: Янв. 7, 2025

Climate change (CC) and land use/land cover (LULCC) are significant drivers of hydrological change, an effective watershed management requires a detailed understanding their individual the combined impact. This study focused on Athabasca River Basin (ARB), Canada, investigated how basin responded to changes using MIKE SHE-MIKE Hydro River. Our findings revealed novel insights into ARB changes, including increment in non-vegetated lands (0.26%), savannas (1.28%), forests (0.53%), urban areas (0.02%) while grasslands (2.07%) shrublands (0.03%) decreased. Moreover, experienced rising annual minimum (1.01 °C) maximum (0.85 temperatures but declining precipitation (6.2%). The suggested impact CC compared LULCC as caused reduction streamflow (7.9%), evapotranspiration (4.8%), recharge (6.9%). Meanwhile, reduced (0.2%) (0.4%) increased (0.1%). spatiotemporal variability across ARB, with temperature impacts stronger winter influencing other seasons.

Язык: Английский

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Restoring riparian habitats for benefits to biodiversity and human livelihoods: a systematic map protocol for riparian restoration approaches in the tropics

Environmental Evidence, Год журнала: 2025, Номер 14(1)

Опубликована: Янв. 30, 2025

Язык: Английский

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Observing water turbidity in Chinese rivers using Landsat series data over the past 40 years

Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 145001 - 145001

Опубликована: Фев. 1, 2025

Язык: Английский

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Effects of land use land cover change on streamflow of Akaki catchment, Addis Ababa, Ethiopia

Sustainable Water Resources Management, Год журнала: 2023, Номер 9(3)

Опубликована: Апрель 25, 2023

Abstract Evaluation of the hydrological impact urbanization-induced land use cover (LULC) changes for medium to large catchments is still an important research topic due lack evidence conclude about how local translate impacts across scales. This study aims provide on effects LULC change streamflow Akaki catchment that hosts Addis Ababa, capital city Ethiopia. Since comparative performance classification algorithms poorly understood, we compared one parametric and five non-parametric machine learning methods mapping using Landsat imageries. To investigate effect streamflow, a semi-distributed HEC-HMS model was calibrated validated daily discharge data at multiple sites. Findings this showed that: (i) accuracy regression tree (CART) superior other classifiers, (ii) from 1990 2020, urban forest increased expense agricultural bare land, (iii) acceptable all stations during both calibration validation periods, (iv) mean annual main rainy seasonal experienced significant increases but simulated highly varied with type classifier. contributes limited catchments, rapidly developing cities are prone regime need be recognized, understood quantified, incorporated into planning development.

Язык: Английский

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