Transport and partitioning of metals in river networks of a plain area with sedimentary resuspension and implications for downstream lakes

2021 ◽  
pp. 118668
Author(s):  
Jin Zhang ◽  
Kun Wang ◽  
Qitao Yi ◽  
Tao Zhang ◽  
Wenqing Shi ◽  
...  
Keyword(s):  
River Networks ◽  
Plain Area

scholarly journals A data set of global river networks and corresponding water resources zones divisions

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Denghua Yan ◽  
Kun Wang ◽  
Tianling Qin ◽  
Baisha Weng ◽  
Hao Wang ◽  
...  
Keyword(s):  
Water Resources ◽  
River Network ◽  
River Networks ◽  
Data Set ◽  
Plain Area ◽  
Digital Elevation ◽  
Level 1 ◽  
Elevation Model ◽  
Digital Elevation Model Data ◽  
Hydrology And Water Resources

Abstract As basic data, the river networks and water resources zones (WRZ) are critical for planning, utilization, development, conservation and management of water resources. Currently, the river network and WRZ of world are most obtained based on digital elevation model data automatically, which are not accuracy enough, especially in plains. In addition, the WRZ code is inconsistent with the river network, hindering the efficiency of data in hydrology and water resources research. Based on the global 90-meter DEM data combined with a large number of auxiliary data, this paper proposed a series of methods for generating river network and water resources zones, and then obtained high-precision global river network and corresponding WRZs at level 1 to 4. The dataset provides generated rivers with high prevision and more accurate position, reasonable basin boundaries especially in inland and plain area, also the first set of global WRZ at level 1 to 4 with unified code. It can provide an important basis and support for reasonable use of water resources and sustainable social development in the world.

Groundwater quality and pollution evaluation in Xinjiang plain area

2014 ◽  
Author(s):  
Yuanyuan Ji ◽  
Jinlong Zhou ◽  
Yexin Gao ◽  
Qiao Li ◽  
Ruiliang Jia ◽  
...  
Keyword(s):  
Groundwater Quality ◽  
Plain Area ◽  
Pollution Evaluation

THE PROSPER MODEL: LEVERAGING BIG DATA TO PREDICT FLOW PERMANENCE IN SNOW-DOMINATED RIVER NETWORKS

2017 ◽  
Author(s):  
Kristin L. Jaeger ◽  
◽  
Roy Sando ◽  
Kyle W. Blasch ◽  
Jason Dunham ◽  
...  
Keyword(s):  
Big Data ◽  
River Networks

scholarly journals Setting the Flow Accumulation Threshold Based on Environmental and Morphologic Features to Extract River Networks from Digital Elevation Models

2021 ◽  
Vol 10 (3) ◽  
pp. 186
Author(s):  
HuiHui Zhang ◽  
Hugo A. Loáiciga ◽  
LuWei Feng ◽  
Jing He ◽  
QingYun Du
Keyword(s):  
Spatial Scales ◽  
Digital Elevation Models ◽  
Regional Scale ◽  
Drainage Density ◽  
River Network ◽  
Landscape Patterns ◽  
Estimation Methods ◽  
River Networks ◽  
Flow Accumulation ◽  
Digital Elevation

Determining the flow accumulation threshold (FAT) is a key task in the extraction of river networks from digital elevation models (DEMs). Several methods have been developed to extract river networks from Digital Elevation Models. However, few studies have considered the geomorphologic complexity in the FAT estimation and river network extraction. Recent studies estimated influencing factors’ impacts on the river length or drainage density without considering anthropogenic impacts and landscape patterns. This study contributes two FAT estimation methods. The first method explores the statistical association between FAT and 47 tentative explanatory factors. Specifically, multi-source data, including meteorologic, vegetation, anthropogenic, landscape, lithology, and topologic characteristics are incorporated into a drainage density-FAT model in basins with complex topographic and environmental characteristics. Non-negative matrix factorization (NMF) was employed to evaluate the factors’ predictive performance. The second method exploits fractal geometry theory to estimate the FAT at the regional scale, that is, in basins whose large areal extent precludes the use of basin-wide representative regression predictors. This paper’s methodology is applied to data acquired for Hubei and Qinghai Provinces, China, from 2001 through 2018 and systematically tested with visual and statistical criteria. Our results reveal key local features useful for river network extraction within the context of complex geomorphologic characteristics at relatively small spatial scales and establish the importance of properly choosing explanatory geomorphologic characteristics in river network extraction. The multifractal method exhibits more accurate extracting results than the box-counting method at the regional scale.

scholarly journals Landslide-Induced Mass Transport of Radionuclides along Transboundary Mailuu-Suu River Networks in Central Asia

2021 ◽  
Vol 13 (4) ◽  
pp. 698 ◽  
Author(s):  
Fengqing Li ◽  
Isakbek Torgoev ◽  
Damir Zaredinov ◽  
Marina Li ◽  
Bekhzod Talipov ◽  
...  
Keyword(s):  
Mass Transport ◽  
Surface Waters ◽  
Natural Radionuclides ◽  
River Basin Management ◽  
River Networks ◽  
Pollution Dispersion ◽  
Continuous Release ◽  
Political Conflicts ◽  
Exposure Pathway ◽  
Analysis System

Seismically triggered landslides are a major hazard and have caused severe secondary losses. This problem is especially important in the seismic prone Mailuu-Suu catchment in Kyrgyzstan, as it hosts disproportionately sensitive active or legacy uranium sites with deposited radioactive extractive wastes. These sites show a quasi-continuous release of radioactive contamination into surface waters, and especially after natural hazards, a sudden and massive input of pollutants into the surface waters is expected. However, landslides of contaminated sediments into surface waters represent a substantial exposure pathway that has not been properly addressed in the existing river basin management to date. To fill this gap, satellite imagery was massively employed to extract topography and geometric information, and the seismic Scoops3D and the one-dimensional numerical model, Hydrologic Engineering Centre, River Analysis System (HEC-RAS), were chosen to simulate the landslide-induced mass transport of total suspended solids (TSS) and natural radionuclides (Pb-210 as a proxy for modeling purposes) within the Mailuu-Suu river networks under two earthquake and two hydrological scenarios. The results show that the seismically vulnerable areas dominated in the upstream areas, and the mass of landslides increased dramatically with the increase of earthquake levels. After the landslides, the concentrations of radionuclides increased suddenly and dramatically. The peak values decreased along the longitudinal gradient of river networks, with the concentration curves becoming flat and wide in the downstream sections, and the transport speed of radionuclides decreased along the river networks. The conclusions of this study are that landslides commonly release a significant amount of pollutants with a relatively fast transport along river networks. Improved quantitative understanding of waterborne pollution dispersion across national borders will contribute to better co-ordination between governments and regulatory authorities of riparian states and, consequently, to future prevention of transnational political conflicts that have flared up in the last two decades over alleged pollution of transboundary water bodies.

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