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You searched for: Subject "hydrologic cycle" Remove constraint Subject: "hydrologic cycle"
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1. Underestimated permafrost degradation: Improving the TTOP model based on soil thermal conductivity

Author:
Wenwen Li; Baisha Weng; Denghua Yan; Yuequn Lai; Meng Li; Hao Wang
Source:
Science of the total environment 2023 v.854 pp. 158564
ISSN:
0048-9697
Subject:
hydrologic cycle,   etc   ; altitude; frozen soils; hinterland; models; permafrost; rivers; soil temperature; surface temperature; thermal conductivity; watersheds; Yangtze River;     Show all 12 Subjects
Abstract:
... Under the continuing influence of global warming, resolving the inconsistency of permafrost degradation rates and quantifying the spatial distribution characteristics are critical for high-altitude water cycle processes. The dynamics of permafrost degradation are mainly manifested in soil temperature, which can be measured with high accuracy and high temporal resolution. This study considered the ...
DOI:
10.1016/j.scitotenv.2022.158564

2. Influence of DOM and microbes on Fe biogeochemistry at a riverbank filtration site

Author:
Xuelian Xia; Yanguo Teng; Yuanzheng Zhai
Source:
Environmental research 2023 v.216 pp. 114430
ISSN:
0013-9351
Subject:
hydrologic cycle,   etc   ; biogeochemistry; filtration; groundwater; iron; microbial communities; organic matter; remediation; research; riparian areas; river water; sediments; water pollution; water purification;     Show all 14 Subjects
Abstract:
... Riverbank filtration (RBF) constitutes an important part of the water cycle, which involves active natural filtration leading to pollution of river water being intercepted and retained. The RBF has the function of water purification, but retention of exogenous pollutants in the RBF system complicates biogeochemical processes due to the presence of primary active components. In this study, we verif ...
DOI:
10.1016/j.envres.2022.114430

3. Integrated Ecohydrological Models in Aquatic Ecosystems

Author:
Naicheng Wu; Yixia Wang; Yaochun Wang; Qinghua Cai; Wei Ouyang
Source:
Water 2022 v.14 no.2 pp. -
ISSN:
2073-4441
Subject:
hydrologic cycle,   etc   ; fish; water;     Show all 3 Subjects
Abstract:
... As a critical component of the global environment, aquatic ecosystems support a wide range of organisms, including bacteria, fungi, algae, invertebrates, plants, and fish [...] ...
DOI:
10.3390/w14020204

4. Calibration of Adjustment Coefficient of the Viscous Boundary in Particle Discrete Element Method Based on Water Cycle Algorithm

Author:
Chunhui Ma; Zhiyue Gao; Jie Yang; Lin Cheng; Tianhao Zhao
Source:
Water 2022 v.14 no.3 pp. -
ISSN:
2073-4441
Subject:
hydrologic cycle,   etc   ; algorithms; geophysics; models; water;     Show all 5 Subjects
Abstract:
... The viscous boundary has a direct influence on the accuracy of structural dynamic response analysis, and the absorbing effect of the viscous boundary is controlled by the adjustment coefficient. Therefore, a calibration model of the viscous boundary’s adjustment coefficient based on the water cycle algorithm is established for the particle discrete element to improve the accuracy of dynamic respon ...
DOI:
10.3390/w14030439

5. Towards a more active dialogue between hydrologists and ecophysiologists for interdisciplinary studies in forest ecosystems

Author:
Claudia Cocozza; Daniele Penna
Source:
Science of the total environment 2022 v.807 pp. 150877
ISSN:
0048-9697
Subject:
hydrologic cycle,   etc   ; ecophysiology; environment; forests; vision;     Show all 5 Subjects
Abstract:
... Understanding the internal functioning of natural systems often requires interdisciplinary approaches and competences that allow encompassing and disentangling different and strictly intertwined physical and biological processes. Hydrology and ecophysiology are examples of complementary and highly interconnected disciplines that share water as a common analysis element when investigating the funct ...
DOI:
10.1016/j.scitotenv.2021.150877

6. Earth-like thermal and dynamical coupling processes in the Martian climate system

Author:
Zhaopeng Wu; Tao Li; Nicholas G. Heavens; Claire E. Newman; Mark I. Richardson; Chengyun Yang; Jing Li; Jun Cui
Source:
Earth-science reviews 2022 v.229 pp. 104023
ISSN:
0012-8252
Subject:
hydrologic cycle,   etc   ; climate; convection; dust; gravity; mesosphere;     Show all 6 Subjects
Abstract:
... The burst of Mars exploration in the past two decades has significantly improved our knowledge of the Martian atmosphere. A variety of complementary, multiannual observational records have revealed Earth-like cycling of dust and water through the Mars system, as well as hints of dynamical coupling between the lower, middle, and upper atmosphere involving deep convection, planetary waves, thermal t ...
DOI:
10.1016/j.earscirev.2022.104023

7. Evaluating the risk levels of ecohydrological conditions at different time scales based on discharge hydrographs

Author:
Xiaoming Guo; Lei Su; Lukai Xu; Yu Deng; Yan Guo
Source:
Journal of hydrology 2022 v.604 pp. 127161
ISSN:
0022-1694
Subject:
hydrologic cycle,   etc   ; hydrograph; risk; runoff; Yellow River;     Show all 5 Subjects
Abstract:
... Eco-flows (ecosurplus (ES) and ecodeficit (ED)) calculated with flow duration curves (FDCs) have some limitations on their use in assessing the ecohydrological conditions of rivers. A new method of defining eco-flows based on discharge hydrographs (DHs) instead of FDCs is presented in this study. In this method, the annual ES is the ratio of the surplus annual runoff above the 75th percentile DH t ...
DOI:
10.1016/j.jhydrol.2021.127161

8. Optimally integrating multi-source products for improving long series precipitation precision by using machine learning methods

Author:
Yinmao Zhao; Kui Xu; Ningpeng Dong; Hao Wang
Source:
Journal of hydrology 2022 v.609 pp. 127707
ISSN:
0022-1694
Subject:
hydrologic cycle,   etc   ; landscapes; latitude; models; watersheds; China;     Show all 6 Subjects
Abstract:
... Accurate estimation of precipitation over the Qinghai-Tibet Plateau (TP) remains a challenge at high spatio-temporal scales. This research proposed a machine learning (ML) framework based on multi-source products which was involved with seasonal precipitation characteristics and terrain factors, to improve the spatio-temporal accuracy of precipitation and hydrology simulations in the Yalong River ...
DOI:
10.1016/j.jhydrol.2022.127707

9. Estimation of actual evapotranspiration in barley crop through a generalized linear model

Author:
Adán Faramiñan; Paula Olivera Rodriguez; Facundo Carmona; Mauro Holzman; Raúl Rivas; Christian Mancino
Source:
MethodsX 2022 v.9 pp. 101665
ISSN:
2215-0161
Subject:
hydrologic cycle,   etc   ; barley; energy balance; evapotranspiration; linear models;     Show all 5 Subjects
Abstract:
... Evapotranspiration is a key variable of the water cycle. Its calculation requires several ground data that frequently are not available. This study contains a detailed method and measurements of meteorological and energy balance variables that can be used to estimate the daily actual evapotranspiration (ETa). A linear generalized model is obtained to calculate the ETa from common variables measure ...
DOI:
10.1016/j.mex.2022.101665

10. On the Leonardo's rule for the assessment of root profile

Author:
F. Preti; A. Dani; L.V. Noto; E. Arnone
Source:
Ecological engineering 2022 v.179 pp. 106620
ISSN:
0925-8574
Subject:
hydrologic cycle,   etc   ; data collection; models; topology; topsoil; Italy;     Show all 6 Subjects
Abstract:
... Leonardo's rule (Lrule) applied to below-ground systems defines a simple topological scheme that describes how the branches of root architectures develop within the soil. The approach does not consider the soil-climate-root interactions. From another hand, eco-hydrological approaches exploit physically-based formulations to derive the dynamic evolution of root profile based on soil and climate cha ...
DOI:
10.1016/j.ecoleng.2022.106620

11. Store and pour: Evolution of flow systems in landscapes

Author:
Jonathan D. Phillips
Source:
Catena 2022 v.216 pp. 106357
ISSN:
0341-8162
Subject:
hydrologic cycle,   etc   ; catenas; preferential flow; subsurface flow; vegetation;     Show all 5 Subjects
Abstract:
... Concentrated or preferential flow patterns occur at all scales in hydrologic systems. They shape, and are shaped by, geomorphic and pedologic patterns and structures. Preferential flow patterns in surface channel networks and dual-porosity subsurface flow systems are a way of achieiving maximum efficiency, as predicted by dissipative systems, constructal, network evolution, percolation, and ecohyd ...
DOI:
10.1016/j.catena.2022.106357

12. SLONIP—A Slovenian Web-Based Interactive Research Platform on Water Isotopes in Precipitation

Author:
Polona Vreča; Aljaž Pavšek; David Kocman
Source:
Water 2022 v.14 no.13 pp. -
ISSN:
2073-4441
Subject:
hydrologic cycle,   etc   ; Internet; computer software; groundwater; watersheds; Slovenia;     Show all 6 Subjects
Abstract:
... Knowledge of how the isotopic composition (i.e., δ²H, δ¹⁸O and ³H) of precipitation changes within an individual catchment allows the origins of surface and groundwater to be differentiated and the dynamic characteristics of water within individual water bodies to be traced. This paper presents the Slovenian Network of Isotopes in Precipitation (SLONIP), a research platform that has been operating ...
DOI:
10.3390/w14132127

13. Salinity Variability Modes in the Pacific Ocean From the Perspectives of the Interdecadal Pacific Oscillation and Global Warming

Author:
H. Y. Shi; L. Du; X. B. Ni
Source:
Journal of geophysical research 2022 v.127 no.7 pp. e2021JC018092
ISSN:
2169-9275
Subject:
hydrologic cycle,   etc   ; freshwater; geophysics; research; salinity; Pacific Ocean;     Show all 6 Subjects
Abstract:
... Ocean salinity can be used as an important indicator of climate change by measuring the global hydrological cycle. In our research, observations and reanalysis data sets are applied to determine that, from 1950 to 2018, long‐term salinity change in the upper tropical Pacific Ocean was dominated by two empirical orthogonal function (EOF) leading modes on decadal to longer time scales. The first lea ...
DOI:
10.1029/2021JC018092

14. Securing the Environmental Water Requirements of Seasonally Ponding Wetlands: Partnering Science and Management through Benefit Sharing

Author:
Stefano Barchiesi; Antonio Camacho; Eva Hernández; Anis Guelmami; Flavio Monti; Alessio Satta; Osvaldo Jordán; Christine Angelini
Source:
Wetlands 2022 v.42 no.5 pp. 46
ISSN:
0277-5212
Subject:
hydrologic cycle,   etc   ; adaptive management; governance; water allocation; watersheds;     Show all 5 Subjects
Abstract:
... Although environmental flow regime assessments are becoming increasingly holistic, they rarely provoke water managers to enact the adaptive water reallocation mechanisms required to secure environmental water for wetlands. The conditions that cause science-based environmental flow assessments to succeed or fail in informing the management of environmental water requirements remain unclear. To begi ...
DOI:
10.1007/s13157-022-01562-6

15. Applicability of recurrent neural networks to retrieve missing runoff records: challenges and opportunities in Turkey

Author:
Yaman Alsavaf; Arzu Teksoy
Source:
Environmental monitoring and assessment 2022 v.194 no.1 pp. 28
ISSN:
0167-6369
Subject:
hydrologic cycle,   etc   ; basins; river flow; rivers; runoff; water management;     Show all 6 Subjects
Abstract:
... Acquiring river flow records is the primary precondition for providing optimal water resource management practices and preserving the ecohydrological balance. In Turkey, some river gauging stations go intermittently out of service due to some technical problems or unexpected difficulties. Consequently, river flow records are lost, and this is especially true in the rural and remote areas of the na ...
DOI:
10.1007/s10661-021-09681-z

16. Effects of ecohydrological interfaces on migrations and transformations of pollutants: A critical review

Author:
Shan Zhao; Jianhua Wang; Shijin Feng; Zailun Xiao; Chunyan Chen
Source:
Science of the total environment 2022 v.804 pp. 150140
ISSN:
0048-9697
Subject:
hydrologic cycle,   etc   ; environment; interdisciplinary research; pollution; soil; water flow;     Show all 6 Subjects
Abstract:
... With the rapid development of society, the soil and water environments in many countries are suffering from severe pollution. Pollutants in different phases will eventually gather into the soil and water environments, and a series of migrations and transformations will take place at ecohydrological interfaces with water flow. However, it is still not clear how ecohydrological interfaces affect the ...
DOI:
10.1016/j.scitotenv.2021.150140

17. Confronting the water potential information gap

Author:
Novick Kimberly A.; Ficklin Darren L.; Baldocchi Dennis; Davis Kenneth J.; Ghezzehei Teamrat A.; Konings Alexandra G.; Macbean Natasha; Raoult Nina; Scott Russell L.; Shi Yuning; Sulman Benjamin N.; Wood Jeffrey D.
Source:
Nature geoscience 2022 v.15 no. pp. 158-164
ISSN:
1752-0894
Subject:
hydrologic cycle,   etc   ; ecosystems; remote sensing; soil water potential; uncertainty;     Show all 5 Subjects
Abstract:
... Water potential directly controls the function of leaves, roots and microbes, and water potential gradients drive water flows throughout the soil-plant-atmosphere continuum. Notwithstanding its clear relevance for many ecosystem processes, soil water potential is rarely measured in-situ, and plant water potential observations are usually discrete, sparse, and not yet aggregated into accessible dat ...
Handle:
10113/7858419
DOI:
10.1038/s41561-022-00909-2

18. Deep Learning to Near-Surface Humidity Retrieval from Multi-Sensor Remote Sensing Data over the China Seas

Author:
Rongwang Zhang; Weihao Guo; Xin Wang
Source:
Remote Sensing 2022 v.14 no.17 pp. -
ISSN:
2072-4292
Subject:
hydrologic cycle,   etc   ; evaporation; humidity; models; observational studies; satellites; China;     Show all 7 Subjects
Abstract:
... Near-surface humidity (Qₐ) is a key parameter that modulates oceanic evaporation and influences the global water cycle. Remote sensing observations act as feasible sources for long-term and large-scale Qₐ monitoring. However, existing satellite Qₐ retrieval models are subject to apparent uncertainties due to model errors and insufficient training data. Based on in situ observations collected over ...
DOI:
10.3390/rs14174353

19. Performance Evaluation of Six Gridded Precipitation Products throughout Iran Using Ground Observations over the Last Two Decades (2000–2020)

Author:
Arsalan Ghorbanian; Ali Mohammadzadeh; Sadegh Jamali; Zheng Duan
Source:
Remote Sensing 2022 v.14 no.15 pp. -
ISSN:
2072-4292
Subject:
hydrologic cycle,   etc   ; atmospheric precipitation; data collection; satellites; socioeconomics; Iran;     Show all 6 Subjects
Abstract:
... Precipitation, as an important component of the Earth’s water cycle, plays a determinant role in various socio-economic practices. Consequently, having access to high-quality and reliable precipitation datasets is highly demanded. Although Gridded Precipitation Products (GPPs) have been widely employed in different applications, the lack of quantitative assessment of GPPs is a critical concern tha ...
DOI:
10.3390/rs14153783

20. Spatiotemporal estimation of 6-hour high-resolution precipitation across China based on Himawari-8 using a stacking ensemble machine learning model

Author:
Siqin Zhou; Yuan Wang; Qiangqiang Yuan; Linwei Yue; Liangpei Zhang
Source:
Journal of hydrology 2022 v.609 pp. 127718
ISSN:
0022-1694
Subject:
hydrologic cycle,   etc   ; atmospheric circulation; data collection; probability; topography; China;     Show all 6 Subjects
Abstract:
... Precipitation plays a significant role in the hydrological cycle and atmospheric circulation. However, estimating precipitation is a challenging task due to the high spatiotemporal variability of precipitation. The development of machine learning has marked a new approach to precipitation estimation. In this study, a stacking ensemble machine learning model was developed to estimate 6-hour precipi ...
DOI:
10.1016/j.jhydrol.2022.127718