• Title/Summary/Keyword: Amazon basin

Search Result 10, Processing Time 0.021 seconds

Application of Convolutional Neural Networks (CNN) for Bias Correction of Satellite Precipitation Products (SPPs) in the Amazon River Basin

  • Alena Gonzalez Bevacqua;Xuan-Hien Le;Giha Lee
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2023.05a
    • /
    • pp.159-159
    • /
    • 2023
  • The Amazon River basin is one of the largest basins in the world, and its ecosystem is vital for biodiversity, hydrology, and climate regulation. Thus, understanding the hydrometeorological process is essential to the maintenance of the Amazon River basin. However, it is still tricky to monitor the Amazon River basin because of its size and the low density of the monitoring gauge network. To solve those issues, remote sensing products have been largely used. Yet, those products have some limitations. Therefore, this study aims to do bias corrections to improve the accuracy of Satellite Precipitation Products (SPPs) in the Amazon River basin. We use 331 rainfall stations for the observed data and two daily satellite precipitation gridded datasets (CHIRPS, TRMM). Due to the limitation of the observed data, the period of analysis was set from 1st January 1990 to 31st December 2010. The observed data were interpolated to have the same resolution as the SPPs data using the IDW method. For bias correction, we use convolution neural networks (CNN) combined with an autoencoder architecture (ConvAE). To evaluate the bias correction performance, we used some statistical indicators such as NSE, RMSE, and MAD. Hence, those results can increase the quality of precipitation data in the Amazon River basin, improving its monitoring and management.

  • PDF

Observation of Water Volume Changes of Rivers in Amazon Forests from Multi-temporal JERS-1 SAR Images

  • Takako, Sakurai-Amano;Takagi, Mikio
    • Proceedings of the KSRS Conference
    • /
    • 2002.10a
    • /
    • pp.454-459
    • /
    • 2002
  • We have developed a new method to visualize river networks in tropical rain forests from JERS-1 SAR images. This method compresses river information in an original SAR image to a small image displaying wide rivers as dark objects in real size and narrower rivers as bright objects showing brightness level as an indicator of the discharge. We applied this method to 476 images of Amazon forests, 13 observations for path 415 data and 11 observations for path 416 data between 1993 and 1997. We confirmed that a change observed in a preliminary experiment was certainly a part of seasonal changes. The changes roughly correspond to the monthly precipitation changes. Through a simple digital analysis although qualitative, we also detected subtle but consistent regional differences among minor tributaries that belong to a major tributary basin.

  • PDF

Reproductive aspects of the Amazon giant paiche (Arapaima gigas): a review

  • Marie Anne Galvez Escudero;Anthony Jesus Mendoza De La Vega
    • Fisheries and Aquatic Sciences
    • /
    • v.27 no.2
    • /
    • pp.57-65
    • /
    • 2024
  • Paiche (Arapaima gigas), is a colossal freshwater fish native to the Amazon basin. Its geographic distribution spans various regions, including Brazil, Peru, Colombia, and Guyana, making it a significant component of the aquatic ecosystems in this area. Beyond its ecological role, the paiche holds substantial importance as a valuable fish resource for local communities, providing sustenance and economic opportunities. This review provides a comprehensive analysis of the reproductive aspects of the paiche, based on information published from January 2000 to January 2022. It encompasses a wide range of reproductive characteristics, including sexual differentiation, age at first maturity, and identification techniques. Additionally, it offers an evaluation of various mating behaviors, highlighting their respective advantages and disadvantages. The review also explores genetic and behavioral traits observed in both wild and captive specimens, offering valuable insights for the effective management of breeding programs.

Lignin signatures of vegetation and soils in tropical environments

  • Belanger, E.;Lucotte, M.;Gregoire, B.;Moingt, M.;Paquet, S.;Davidson, R.;Mertens, F.;Passos, C.J.S.;Romana, C.
    • Advances in environmental research
    • /
    • v.4 no.4
    • /
    • pp.247-262
    • /
    • 2015
  • The few lignin biomarker studies conducted in tropical environments are hampered by having to use references signatures established for plants and soils characteristic of the temperate zone. This study presents a lignin biomarker analysis (vanillyls (V), p-hydroxyls (P), syringyls (S), cinnamyls (C)) of the dominant plant species and soil horizons as well as an analysis of the interrelated terrigenous organic matter (TOM) dynamics between vegetation and soil of the $Tapaj{\acute{o}}s$ river region, an active colonization front in the Brazilian Amazon. We collected and analyzed samples from 17 fresh dominant plant species and 48 soil cores at three depths (0-5 cm, 20-25 cm, 50-55 cm) from primary rainforest, fallow forest, subsistence agriculture fields and pastures. Lignin signatures in tropical plants clearly distinguish from temperate ones with high ratios of Acid/aldehyde of vanillyls ((Ad/Al)v) and P/V+S. Contrary to temperate environments, similarly high ratios in tropical soils are not related to TOM degradation along with pedogenesis but to direct influence of plants growing on them. Lignin signatures of both plants and soils of primary rainforest and fallow forest clearly distinguish from those of non-forested areas, i.e., agriculture fields and pastures. Attalea speciosa Palm trees, an invasive species in all perturbed landscapes of the Amazon, exhibit lignin signatures clearly distinct from other dominant plant species. The study of lignin signatures in tropical areas thus represents a powerful tool to evaluate the impact of primary rainforest clearing on TOM dynamics in tropical areas.

Fatigue performance of deepwater SCR under short-term VIV considering various S-N curves

  • Kim, D.K.;Choi, H.S.;Shin, C.S.;Liew, M.S.;Yu, S.Y.;Park, K.S.
    • Structural Engineering and Mechanics
    • /
    • v.53 no.5
    • /
    • pp.881-896
    • /
    • 2015
  • In this study, a method for fatigue performance estimation of deepwater steel catenary riser (SCR) under short-term vortex-induced vibration was investigated for selected S-N curves. General tendency between S-N curve capacity and fatigue performance was analysed. SCRs are generally used to transport produced oil and gas or to export separated oil and gas, and are exposed to various environmental loads in terms of current, wave, wind and others. Current is closely related with VIV and it affects fatigue life of riser structures significantly. In this regards, the process of appropriate S-N curve selection was performed in the initial design stage based on the scale of fabrication-related initial imperfections such as welding, hot spot, crack, stress concentration factor, and others. To draw the general tendency, the effects of stress concentration factor (SCF), S-N curve type, current profile, and three different sizes of SCRs were considered, and the relationship between S-N curve capacity and short-term VIV fatigue performance of SCR was derived. In case of S-N curve selection, DNV (2012) guideline was adopted and four different current profiles of the Gulf of Mexico (normal condition and Hurricane condition) and Brazil (Amazon basin and Campos basin) were considered. The obtained results will be useful to select the S-N curve for deepwater SCRs and also to understand the relationship between S-N curve capacity and short-term VIV fatigue performance of deepwater SCRs.

Spawning Behavior, Egg Development, Larvae and Juvenile Morphology of Hyphessobrycon eques (Pisces: Characidae) Characidae Fishes

  • Park, Jae-Min;Kim, Na-Ri;Han, Kyeong-Ho;Han, Ji-Hyeong;Son, Maeng-Hyun;Cho, Jae-Kwon
    • Development and Reproduction
    • /
    • v.18 no.4
    • /
    • pp.241-249
    • /
    • 2014
  • Hyphessobrycon eques is a famous fish for ornamental fish market and aquarium. They are inhabit in regions of Amazon and Paraguay River basin. Serpae fishs were investigated 2-3 males are chased to female, and then males attempted to simulate the females abdomen. After fertilization, eggs were kept in incubators at $28^{\circ}C$. The fertilized eggs had adhesive and demesal characteristics and had a mean diameter of $0.92{\pm}0.01mm$. Larvae hatched at 16 hrs post fertilization. The hatched larvae averaged $2.90{\pm}0.16mm$ in total length ($L_T$). Complete yolk sac resorption and mouth opening occurred on the third day post hatching. At 45 days post hatching, the larvae were $12.5{\pm}1.60mm$ $L_T$ and had reached the juvenile stage.

Spaceborne Gravity Sensors for Continental Hydrology and Geodynamic Studies

  • Shum C. K.;Han Shin-Chan;Braun Alexander
    • Korean Journal of Remote Sensing
    • /
    • v.21 no.1
    • /
    • pp.51-57
    • /
    • 2005
  • The currently operating NASA/GFZ Gravity Recovery and Climate Experiment (GRACE) mission is designed to measure small mass changes over a large spatial scale, including the mapping of continental water storage changes and other geophysical signals in the form of monthly temporal gravity field. The European Space Agency's Gravity field and steady state Ocean Circulation Explorer (GOCE) space gravity gradiometer (SGG) mission is anticipated to determine the mean Earth gravity field with an unprecedented geoid accuracy of several cm (rms) with wavelength of 130km or longer. In this paper, we present a summary of present GRACE studies for the recovery of hydrological signals in the Amazon basin using alternative processing and filtering techniques, and local inversion to enhance the temporal and spatial resolutions by two-folds or better. Simulation studies for the potential GRACE detection of slow deformations due to Nazca-South America plate convergence and glacial isostatic adjustment (GIA) signals show that these signals are at present difficult to detect without long-term data averaging and further improvement of GRACE measurement accuracy.

Assessment of Noah land surface model-based soil moisture using GRACE-observed TWSA and TWSC (GRACE 관측 TWSA와 TWSC를 활용한 Noah 지면모형기반 토양수분 평가)

  • Chun, Jong Ahn;Kim, Seon Tae;Lee, Woo-Seop;Kim, Daeha
    • Journal of Korea Water Resources Association
    • /
    • v.53 no.4
    • /
    • pp.285-291
    • /
    • 2020
  • The Noah 3.3 Land Surface Model (LSM) was used to estimate the global soil moisture in this study and these soil moisture datasets were assessed against satellite-based and reanalysis soil moisture products. The Noah 3.3 LSM simulated soil moistures in four soil layers and root-zone soil moistures defined as a depth-weighted average in the first three soil layers (i.e., up to 1.0 m deep). The Noah LSM soil moisture products were then compared with a satellite-based soil moisture dataset (European Space Agency Climate Change Initiatives (ESA CCI) SM v04.4) and reanalysis soil moisture datasets (ERA-interim). In addition, the five major basins (Yangtze, Mekong, Mississippi, Murray-Darling, Amazon) were selected for the assesment with the Gravity Recovery and Climate Experiment (GRACE)-based Total Water Storage Anomaly (TWSA) and TWS Change (TWSC). The results revealed that high anomaly correlations were found in most of the Asia-Pacific regions including East Asia, South Asia, Australia, and Noth and South America. While the anomaly correlations in the Murray-Darling basin were somewhat low, relatively higher anomaly correlations in the other basins were found. It is concluded that this study can be useful for the development of soil moisture based drought indices and subsequently can be helpful to reduce damages from drought by timely providing an efficacious strategy.

Paulinia cupana (Guaraná) for the treatment of cancer related fatigue in patients undergoing radiation therapy or chemotherapy: a meta-analysis of three clinical trials

  • Giglio, Auro Del;Serpa, Ary;Cubero, Daniel;Riechelman, Rachel;Paschoin, Maira
    • CELLMED
    • /
    • v.1 no.1
    • /
    • pp.6.1-6.4
    • /
    • 2011
  • For cancer patients undergoing radiation therapy (RT) or systemic chemotherapy (CHT), cancer-related fatigue (CRF) is a common problem that can negatively impact their quality of life. Guarana (Paullinia cupana) is a plant native to the Amazon basin that has been used as a stimulant since pre-Columbian times. PURPOSE: To evaluate the effectiveness of guarana extract on fatigue in BC patients undergoing either CHT or RT. A total of 137 cancer patients (85% with Breast Cancer) undergoing either CHT (101) or RT (36) were randomized to receive either a placebo or guarana. In all 3 studies, the guarana was given as an unmanipulated dry extract at a dose of 75 mg PO QD in the first two studies or 50 mg PO BID in the third study. Patients were crossed over to the other experimental arm, and we evaluated fatigue with the Chalder Scale in all three studies. Guarana significantly improved the The Chalder Scale Global Scores (- 0.85; 95% CI:-1.31 to -0.40; p = 0.0002); Physical Fatigue Scores (-0.44; 95% CI: - 0.74 to - 0.13; p = 0.005) and Mental Fatigue Scores (-0.93; 95% CI: - 1.14 to - 0.72; p < 0.00001). Guarana did not produce any CTCAE grades 3 or 4 toxicities in any of the studies. Guarana is an effective, cheap and non-toxic alternative for the treatment of fatigue in cancer patients undergoing treatment.

Estimates of the Water Cycle and River Discharge Change over the Global Land at the End of 21st Century Based on RCP Scenarios of HadGEM2-AO Climate Model (기후모델(HadGEM2-AO)의 대표농도경로(RCP) 시나리오에 따른 21세기 말 육지 물순환 및 대륙별 하천유출량 변화 추정)

  • Kim, Moon-Hyun;Kang, Hyun-Suk;Lee, Johan;Baek, Hee-Jeong;Cho, ChunHo
    • Atmosphere
    • /
    • v.23 no.4
    • /
    • pp.425-441
    • /
    • 2013
  • This study investigates the projections of water cycle, budget and river discharge over land in the world at the end of twenty-first century simulated by atmosphere-ocean climate model of Hadley Centre (HadGEM2-AO) and total runoff integrating pathways (TRIP) based on the RCP scenario. Firstly, to validate the HadGEM2-AO hydrology, the surface water states were evaluated for the present period using precipitation, evaporation, runoff and river discharge. Although this model underestimates the annual precipitation about 0.4 mm $mon^{-1}$, evaporation 3.7 mm $mon^{-1}$, total runoff 1.6 mm $mon^{-1}$ and river discharge 8.6% than observation and reanalysis data, it has good water balance in terms of inflow and outflow at surface. In other words, it indicates the -0.3 mm $mon^{-1}$ of water storage (P-E-R) compared with ERA40 showing -2.4 mm $mon^{-1}$ for the present hydrological climate. At the end of the twenty-first century, annual mean precipitation may decrease in heavy rainfall region, such as northern part of South America, central Africa and eastern of North America, but for increase over the Tropical Western Pacific and East Asian region. Also it can generally increase in high latitudes inland of the Northern Hemisphere. Spatial patterns of annual evaporation and runoff are similar to that of precipitation. And river discharge tends to increase over all continents except for South America including Amazon Basin, due to increased runoff. Overall, HadGEM2-AO prospects that water budget for the future will globally have negative signal (-8.0~-0.3% of change rate) in all RCP scenarios indicating drier phase than the present climate over land.