scholarly journals Impacts of Dem Uncertainty on Estimated Surface Solar Radiation and Extracted River Network

2015 ◽  
Vol 96 (2) ◽  
pp. 297-304 ◽  
Author(s):  
Laigang Wang ◽  
Kaicun Wang
Keyword(s):  
Solar Radiation ◽  
Pearl River ◽  
River Networks ◽  
Pearl River Basin ◽  
Surface Solar Radiation ◽  
Digital Elevation ◽  
Absolute Height ◽  
The Pearl River ◽  
Dem Uncertainty ◽  
The Pearl River Basin

Abstract Digital elevation models (DEMs) have important meteorological, hydrological, and climatological applications. This research studies the uncertainties of six widely accepted global DEM datasets over China and their derivative parameters, including slope and aspect, in calculating the surface-received solar radiation and extracting the river networks. The authors’ results indicate that, although the absolute height values of the six DEM data are nearly identical, substantial and significant differences are introduced when estimating the surface-received solar radiation. The extracted drainage streamflows of the Pearl River basin in South China are close to the actual river networks in general but are quite different in some details that cannot be ignored. Results herein highlight that the uncertainties of DEM themselves as well as their derived parameters must be considered in analogous study.

scholarly journals Mapping Aquaculture Areas with Multi-Source Spectral and Texture Features: A Case Study in the Pearl River Basin (Guangdong), China

2021 ◽  
Vol 13 (21) ◽  
pp. 4320
Author(s):  
Yue Xu ◽  
Zhongwen Hu ◽  
Yinghui Zhang ◽  
Jingzhe Wang ◽  
Yumeng Yin ◽  
...  
Keyword(s):  
Large Scale ◽  
Texture Features ◽  
Pearl River ◽  
Pearl River Basin ◽  
Remote Sensing Images ◽  
Marine Aquaculture ◽  
Aquaculture Area ◽  
The Pearl River ◽  
The Pearl River Basin

Aquaculture has grown rapidly in the field of food industry in recent years; however, it brought many environmental problems, such as water pollution and reclamations of lakes and coastal wetland areas. Thus, the evaluation and management of aquaculture industry are needed, in which accurate aquaculture mapping is an essential prerequisite. Due to the difference between inland and marine aquaculture areas and the difficulty in processing large amounts of remote sensing images, the accurate mapping of different aquaculture types is still challenging. In this study, a novel approach based on multi-source spectral and texture features was proposed to map simultaneously inland and marine aquaculture areas. Time series optical Sentinel-2 images were first employed to derive spectral indices for obtaining texture features. The backscattering and texture features derived from the synthetic aperture radar (SAR) images of Sentinel-1A were then used to distinguish aquaculture areas from other geographical entities. Finally, a supervised Random Forest classifier was applied for large scale aquaculture area mapping. To address the low efficiency in processing large amounts of remote sensing images, the proposed approach was implemented on the Google Earth Engine (GEE) platform. A case study in the Pearl River Basin (Guangdong Province) of China showed that the proposed approach obtained aquaculture map with an overall accuracy of 89.5%, and the implementation of proposed approach on GEE platform greatly improved the efficiency for large scale aquaculture area mapping. The derived aquaculture map may support decision-making services for the sustainable development of aquaculture areas and ecological protection in the study area, and the proposed approach holds great potential for mapping aquacultures on both national and global scales.

Spatial–temporal changes of precipitation structure across the Pearl River basin, China

2012 ◽  
Vol 440-441 ◽  
pp. 113-122 ◽  
Author(s):  
Qiang Zhang ◽  
Vijay P. Singh ◽  
Juntai Peng ◽  
Yongqin David Chen ◽  
Jianfeng Li
Keyword(s):  
River Basin ◽  
Temporal Changes ◽  
Pearl River ◽  
Pearl River Basin ◽  
Precipitation Structure ◽  
The Pearl River ◽  
The Pearl River Basin

scholarly journals Teleconnection analysis of runoff and soil moisture over the Pearl River basin in southern China

2014 ◽  
Vol 18 (4) ◽  
pp. 1475-1492 ◽  
Author(s):  
J. Niu ◽  
J. Chen ◽  
B. Sivakumar
Keyword(s):  
Time Series ◽  
Soil Moisture ◽  
River Basin ◽  
Southern China ◽  
Hydrological Processes ◽  
Pearl River ◽  
Pearl River Basin ◽  
Rank Correlation Method ◽  
The Pearl River ◽  
The Pearl River Basin

Abstract. This study explores the teleconnection of two climatic patterns, namely the El Niño–Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD), with hydrological processes over the Pearl River basin in southern China, particularly on a sub-basin-scale basis. The Variable Infiltration Capacity (VIC) model is used to simulate the daily hydrological processes over the basin for the study period 1952–2000, and then, using the simulation results, the time series of the monthly runoff and soil moisture anomalies for its ten sub-basins are aggregated. Wavelet analysis is performed to explore the variability properties of these time series at 49 timescales ranging from 2 months to 9 yr. Use of the wavelet coherence and rank correlation method reveals that the dominant variabilities of the time series of runoff and soil moisture are basically correlated with IOD. The influences of ENSO on the terrestrial hydrological processes are mainly found in the eastern sub-basins. The teleconnections between climatic patterns and hydrological variability also serve as a reference for inferences on the occurrence of extreme hydrological events (e.g., floods and droughts).

scholarly journals Effects of atmospheric CO2 consumption on rock weathering in the Pearl River basin, China

2019 ◽  
Vol 98 ◽  
pp. 06011
Author(s):  
Xiaoqun Qin ◽  
Zhongcheng Jiang ◽  
Liankai Zhang ◽  
Qibo Huang ◽  
Pengyu Liu
Keyword(s):  
River Basin ◽  
Carbonate Rock ◽  
Isotopic Analysis ◽  
Climatic Conditions ◽  
Pearl River ◽  
Rock Weathering ◽  
Pearl River Basin ◽  
Average Value ◽  
The Pearl River ◽  
The Pearl River Basin

Atmospheric CO2 is absorbed and dissolved in water via karst processes not only in carbonate rock areas, but in all rock areas of the earth. The chemical and isotopic analysis results, particularly of strontium, for water samples collected from eleven stations along the Pearl River, four times over the course of one year, showed that due to weathering by carbonate or silicate rocks, HCO3-, Ca2+, and Mg2+ have become the main ions in the river water. Through river ion stoichiometric and flux calculations, the carbonate rock weathering rate and atmospheric CO2 consumption were found to be 27.6 mm/ka and 540 x 103 mol/km2.a, which are 10.8 and 6.7 times the corresponding values for silicate rock. With the beneficial climatic conditions for rock erosion and large areas of carbonate rock in the Pearl River Basin, the atmospheric CO2 consumption value is about 2.6 times the average value for the 60 major rivers in the world.

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