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hydrometeorology of Anthropogenic Erosion in the Metropolitan Region of São Paulo

Journal of Environmental Protection 2021年第12期12卷 1234-1253页

作者： Maria del Carmen Sanz Lopez Augusto José Pereira Filho Jorge Luiz Diaz Pinaya Departamento de Ciências Atmosférica do Instituto de Astronomia Geofísica e Ciências Atmosféricas da Universidade de S&atilde o Paulo S&atilde o Paulo Brazil

Erosive processes play an important role in environmental degradation. Rain is the main erosive agent in the Metropolitan Region of Sao Paulo. This study characterized the erosion events caused by precipitation leveraging the accumulated daily precipitation estimate generated by the Climate Prediction Center Morphing Method (CMORPH) and integrating the surface telemetric network using the Statistical Objective Analysis method (SOAS). From the Civil Defense database, 400 events were identified in the Metropolitan region of Sao Paulo (MRSP) area between 2000 and 2013 and, of these, 3 were chosen to carry out meteorological and climatological analyses. In an initial observation, 58% of them were found to occur in summer. Two regions with the highest number of erosion events were observed, in the Serra do Mar and Serra da Cantareira. In the Serra do Mar core, the municipality of São Bernardo do Campo was the one with the greatest amount of erosion. Precipitation volumes were estimated for accumulations of 30 minutes, 1 day, 1 month, and 1 year. The results, from the 3 events, indicate accumulated precipitation in 30 minutes from 10 mm to 19.8 mm, daily from 30.8 mm to 69.5 mm, and 1 month from 369.7 mm to 742.5 mm, and 1 year (2010) from 1712.9 mm to 1961.8 mm. In these events, it was noted that there were heavy rains in December 2009 and January 2010. It was also noted that the CMORPH and SOAS identify the rain events found by the São Paulo meteorological radar. The meteorological analyzes of the events based on images from the São Paulo meteorological radar and the Meteosat-9 satellite indicate that the active precipitation systems are associated with cold fronts, instability lines, and isolated convection.

关键词： hydrometeorology Anthropogenic Erosion CMORPH SOAS

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Study of hydrometeorology in a Hard Rock Terrain, Kadirischist Belt Area, Anantapur District, Andhra Pradesh

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Open Journal of Geology 2012年第4期2卷 294-301页

作者： Katta Satya Sai Prasad Purramreddy Tirumala Ashok Kumar Reddy Nagam Balayerikala Reddy Department of Geology Sri Venkateswara University Tirupati India

Hydrometeorological studies reveal that the study area comes under semi-arid zone with moderate drought conditions. The rainfall confirms that erratic nature of rainfall in the study area. The rainfall data for 14 years of the study area reveal that only three years had sufficient rainfall and rest of the 11 years are drought-prone to varying intensities. It is also observed that the area receives maximum amount of rainfall from south-west monsoon (June-December).

关键词： hydrometeorology Rainfall Ratio Drought and Hydrograph

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Feedbacks between vegetation restoration and local precipitation over the Loess Plateau in China

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Science China Earth Sciences 2021年第6期64卷 920-931页

作者： Baoqing ZHANG Lei TIAN Xining ZHAO Pute WU Key Laboratory of Western China’s Environmental Systems(Ministry of Education) College of Earth and Environmental SciencesLanzhou UniversityLanzhou730000China Institute of Green Development for the Yellow River Drainage Basin Lanzhou UniversityLanzhou730000China Institute of Soil and Water Conservation Northwest A&F UniversityYangling712100China

The implementation of large-scale vegetation restoration over the Chinese Loess Plateau has achieved clear improvements in vegetation fraction,as evidenced by large areas of slopes and plains being restored to grassland or forest.However,such large-scale vegetation restoration has altered land-atmosphere exchanges of water and energy,as the land surface characteristics have changed.These variations could affect regional climate,especially local precipitation.Quantitatively evaluating this feedback is an important scientific question in hydrometeorology.This study constructs a coupled land-atmosphere model incorporating vegetation dynamics,and analyzes the spatio-temporal changes of different land use types and land surface parameters over the Loess Plateau.By considering the impacts of vegetation restoration on the water-energy cycle and on land-atmosphere interactions,we quantified the feedback effect of vegetation restoration on local precipitation across the Loess Plateau,and discussed the important underlying processes.To achieve a quantitative evaluation,we designed two simulation experiments,comprising a real scenario with vegetation restoration and a hypothetical scenario without vegetation restoration.These enabled a comparison and analysis of the net impact of vegetation restoration on local precipitation.The results show that vegetation restoration had a positive effect on local precipitation over the Loess Plateau.Observations show that precipitation on the Loess Plateau increased significantly,at a rate of 7.84 mm yr^(-2),from 2000 to 2015.The simulations show that the contribution of large-scale vegetation restoration to the precipitation increase was about 37.4%,while external atmospheric circulation changes beyond the Loess Plateau contributed the other 62.6%.The average annual precipitation under the vegetation restoration scenario over the Loess Plateau was 12.4%higher than that under the scenario without vegetation restoration.The above research results have important theoretical and practical s

关键词： Coupled land-atmosphere modeling Vegetation restoration Water balance hydrometeorology Ecohydrology

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The heterogeneity of hydrometeorological changes during the period of 1961-2016 in the source region of the Yellow River, China

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Research in Cold and Arid Regions 2020年第2期12卷 104-118页

作者： ZhiXiang Lu Qi Feng SongBing Zou JiaLi Xie ZhenLiang Yin Fang Li Key Laboratory of Ecohydrology of Inland River Basin Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhouGansu 730000China Key Laboratory of Desert and Desertification Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhouGansu 730000China University of Chinese Academy of Sciences Beijing 100049China

Runoff in the source region of a river makes up most of water resources in the whole basin in arid and semi-arid areas. It is very important for water resources management to timely master the latest dynamic changes of the runoff and quantitatively reveal its main driving factors. This paper aims to discover the variation heterogeneity of runoff and the impacts of climatic factors on this runoff in the source region of the Yellow River(SRYR) in China from 1961 to 2016. We divided SRYR into four sub-regions, and analyzed changes of their contributions to total runoff in SRYR. We also revealed the impacts of precipitation, temperature and potential evapotranspiration on runoff in each sub-region by constructing the regression relationships between them at multiple temporal scales. The changes of runoff in the four sub-regions and their contributions to the total runoff were not exactly consistent. The climatic variables’ changes also have heterogeneity, and runoff was mainly affected by precipitation compared to influences of temperature or potential evapotranspiration. Their impacts on runoff have spatiotemporal heterogeneity and can be reflected by very significant-linear regression equations.It provided a simple method to predict headwater runoff for better water management in the whole basin.

关键词： source region of the Yellow River hydrometeorology spatiotemporal variation runoff contribution heterogeneity

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Statistical Analysis of Precipitation Extremes in São Francisco River Basin, Brazil

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Atmospheric and Climate Sciences 2022年第2期12卷 383-408页

作者： Nayara Arroxelas dos Santos Siqueira Anderlan Henrique Batista Siqueira Augusto José Pereira Filho Departamento de Ciências Atmosféricas Instituto de Astronomia Geofísica e Ciências Atmosféricas Universidade de S&#227 o Paulo S&#227 o Paulo Brazil Instituto de Ciências Atmosféricas Universidade Federal de Alagoas Alagoas Brazil

This study comprises a climatology of the spatial variability of precipitation over the São Francisco River Basin (SFRB), characterized by its geographic heterogeneity. The different rainfall regimes in the region were analyzed through statistical and spectral analyses. Measured precipitation data, Pacific Decennial Climate indexes, ENSO, Atlantic Multidecadal Oscillation, North Atlantic Oscillation, Atlantic dipole, and the sunspot cycle over 65 years were used. The rainfall data were filtered and filled in using the regional weighting method. The spatial and temporal variability of precipitation along the SFRB is remarkable. A pattern was observed along with the time series of precipitation over the SFRB. The cluster analysis identified four homogeneous regions in the SFRB and explained 87.4% of the total variance of the average monthly rainfall of the 199 rain gauges. The Cross-wavelet analysis identified the relationship between the precipitation data series and the climatic indexes that are analyzed in this work.

关键词： Cross-Wavelet Statistical Analysis hydrometeorology Climatology

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Regionalization of Rainfall Using RCDA Cluster Ensemble Algorithm in India

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Journal of Software Engineering and Applications 2012年第8期5卷 568-573页

作者： Sangeeta Ahuja C. T. Dhanya Department of Civil Engineering Indian Institute of Technology New Delhi India IASRI (ICAR) New Delhi India

The magnitude and frequency of precipitation is of great significance in the field of hydrologic and hydraulic design and has wide applications in varied areas. However, the availability of precipitation data is limited to a few areas, where the rain gauges are successfully and efficiently installed. The magnitude and frequency of precipitation in ungauged sites can be assessed by grouping areas with similar characteristics. The procedure of grouping of areas having similar behaviour is termed as Regionalization. In this paper, RCDA cluster ensemble algorithm is employed to identify the homogeneous regions of rainfall in India. Cluster ensemble methods are commonly used to enhance the quality of clustering by combining multiple clustering schemes to produce a more robust scheme delivering similar homogeneous regions. The goal is to identify, analyse and describe hydrologically similar regions using RCDA cluster ensemble algorithm. RCDA cluster ensemble algorithm, which is based on discriminant analysis. The algorithm takes H base clustering schemes each with K clusters, obtained by any clustering method, as input and constructs discriminant function for each one of them. Subsequently, all the data tuples are predicted using H discriminant functions for cluster membership. Tuples with consistent predictions are assigned to the clusters, while tuples with inconsistent predictions are analyzed further and either assigned to clusters or declared as noise. RCDA algorithm has been compared with Best of K-means and Clue cluster ensemble of R software using traditional clustering quality measures. Further, domain knowledge based comparison has also been performed. All the results are encouraging and indicate better regionalization of the rainfall in different parts of India.

关键词： K-Means Cluster Ensemble Hydrology Silhouette Coefficient Runoff hydrometeorology Precipitation Rainfall

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On the Application of Probabilistic Hydrometeorological Simulation of Soil Moisture across Different Stations in India

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Journal of Geoscience and Environment Protection 2014年第3期2卷 159-169页

作者： Sarit Kumar Das Rajib Maity Department of Civil Engineering Indian Institute of Technology Kharagpur India

An application of a proposed hydrometeorological approach for probabilistic simulation of soil moisture is carried out. The time series of in-situ soil moisture and meteorological variables at monthly scale from a few monitoring stations having different soil-hydrologic properties across India are utilized. Preliminary investigation with both precipitation and near-surface air-tempera- ture as meteorological variables to establish that the strength of association between soil moisture and precipitation is more significant as compared to that between soil moisture and temperature. Precipitation-based probabilistic estimation of soil moisture using the proposed hydrometeorological approach is tested with in-situ observed soil moisture, CPC model output and with soil moisture data of the Climate Change Initiative (CCI) project. The parameter of the developed model is linked to the soil-hydrologic characteristics through Hydrologic Soil Group (HSG) classification. Higher values of model parameter (dependence parameter (θ) for the selected copula) correspond to HSG A and B having higher soil porosity, whereas, lower values correspond to HSG B and C having lower soil porosity.

关键词： Soil Moisture Probabilistic Modelling Copula hydrometeorology Hydroclimatology

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