scholarly journals Evaluation and Control of Regional Environmental Systems in the Yodo River Basin: Socio-Economic Aspects

1977 ◽  
Vol 10 (7) ◽  
pp. 601-608 ◽  
Author(s):  
Fumiko Seo
Keyword(s):  
River Basin ◽  
Economic Aspects ◽  
Environmental Systems ◽  
And Control

Analysis on historical flood and countermeasures in prevention and control of flood in Daqing River Basin

2021 ◽  
Vol 196 ◽  
pp. 110895
Author(s):  
Sun Tong ◽  
Cheng Wu-Qun ◽  
Bo Qiu-Yu ◽  
Meng Xiao ◽  
Liang Dong
Keyword(s):  
River Basin ◽  
Prevention And Control ◽  
And Control

scholarly journals Estimativa da erosividade da chuva na bacia hidrográfica do rio Juma com base em dados do satélite TRMM / Estimation of rain erosion in the Juma river basin based on TRMM satellite data

2019 ◽  
Vol 29 (56) ◽  
pp. 45
Author(s):  
Miqueias Lima Duarte ◽  
Eliomar Pereira da Silva Filho
Keyword(s):  
River Basin ◽  
Soil Degradation ◽  
Prevention And Control ◽  
Rainfall Erosivity ◽  
Territorial Planning ◽  
Surface Data ◽  
Historical Series ◽  
Erosivity Index ◽  
And Control ◽  
Rain Erosion

Conhecer o potencial da chuva em causar erosão do solo é de fundamental importância para a compreensão da fragilidade de uma região, essas informações podem ser utilizadas na prevenção e controle da degradação do solo, auxiliando o planejamento territorial. Este estudo tem por objetivo estimar a erosividade da chuva na bacia hidrográfica do rio Juma, no sul do estado do Amazonas. Foram utilizados dados mensais pluviométricos do produto 3B42-V7 do sensor TRMM obtidos na plataforma Giovanni e comparados com dados de superfície, para a série histórica de 1998 a 2016. O índice de erosividade da chuva foi obtido a partir de um modelo proposto por Oliveira Jr e Medina (1990) desenvolvido para a região. Os resultados obtidos apontam que a variação espacial do índice de erosividade da chuva ao longo da bacia do rio Juma foi pequena (média de 11,66 MJ.mm.ha-1.h-1.ano-1), as maiores variações estão relacionadas a sazonalidade regional, sendo que o mês de julho apresenta o menor índice de erosividade médio (47,74 MJ.mm.ha-1.h-1.ano-1), enquanto que o mês de fevereiro apresentou o maior índice de erosividade (145,73 MJ.mm.ha-1.h-1.ano-1).Palavras–chave: Potencial erosivo da chuva, Degradação do solo, Sensor orbital.Abstract Knowing the potential of rain to cause soil erosion is of fundamental importance to understand the fragility of a region, this information can be used in the prevention and control of soil degradation, assisting the territorial planning. This study aims to estimate the rainfall erosivity in the river basin of the Juma, in the south of the state of Amazonas. Monthly rainfall data from the 3B42-V7 TRMM sensor product obtained from the Giovanni platform and compared with surface data were used for the historical series from 1998 to 2016. The rainfall erosivity index was obtained from a model proposed by Oliveira Jr and Medina (1990) developed for the region. The results indicate that the spatial variation of the rainfall erosivity index along the Juma river basin was small (mean of 11.66 MJ.mm.ha-1.h-1.year-1), the most significant variations are related to regional seasonality, and the month of July It has the lowest mean erosivity index (47.74 MJ.mm.ha-1.h-1.year-1), while February presented the highest erosivity index (145.73 MJ.mm.ha-1.h-1.year-1).Keywords: Erosive potential of rain, Soil degradation, Orbital Sensor.

scholarly journals Morphometry Governs the Dynamics of a Drainage Basin: Analysis and Implications

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Atrayee Biswas ◽  
Dipanjan Das Majumdar ◽  
Sayandeep Banerjee
Keyword(s):  
River Basin ◽  
Drainage Basin ◽  
Flood Hazard ◽  
Groundwater Potential ◽  
Morphometric Parameters ◽  
Hazard Management ◽  
Adequate Knowledge ◽  
Basin Geometry ◽  
Drainage Texture ◽  
And Control

Mountainous rivers are the most significant source of water supply in the Himalayan provinces of India. The drainage basin dynamics of these rivers are controlled by the tectonomorphic parameters, which include both surface and subsurface characteristics of a basin. To understand the drainage basin dynamics and their usefulness in watershed prioritisation and management in terms of soil erosion studies and groundwater potential assessment and flood hazard risk reduction in mountainous rivers, morphometric analysis of a Himalayan River (Supin River) basin has been taken as a case study. The entire Supin River basin has been subdivided into 27 subwatersheds and 36 morphometric parameters have been calculated under four broad categories: drainage network, basin geometry, drainage texture, and relief characteristics, each of which is further grouped into five different clusters having similar morphometric properties. The various morphometric parameters have been correlated with each other to understand their underlying relationship and control over the basin hydrogeomorphology. The result thus generated provides adequate knowledge base required for decision making during strategic planning and delineation of prioritised hazard management zones in mountainous terrains.

scholarly journals Evaluating the influence of hydrological condition on the phosphorus loads in an agricultural river basin using the SWAT model

2021 ◽  
Author(s):  
Cui Jian ◽  
Yue Zhao ◽  
Wenchao Sun ◽  
Yan Chen ◽  
Bo Wu ◽  
...  
Keyword(s):  
River Basin ◽  
Pollution Control ◽  
Assessment Tool ◽  
Swat Model ◽  
River Basin Management ◽  
Hydrological Conditions ◽  
Basin Scale ◽  
Phosphorus Loads ◽  
Using Data ◽  
And Control

Abstract Excessive phosphorus is an important cause of eutrophication. For river basin management, source identification and control of nonpoint source (NPS) pollution are difficult. In this study, to explore influences of hydrological conditions on phosphorus, the Soil and Water Assessment Tool (SWAT) model is applied to the Luanhe River basin in North China. Moreover, influences of the spatial scale of the livestock and poultry amount data on estimations of phosphorus loads are also discussed. The results show that applying town-level livestock and poultry amount data allows the model to perform better when estimating phosphorus loads, indicating that using data at a finer administrative level is necessary. For the typical wet year, the estimated annual phosphorus load was 2.6 times that in the typical dry year. Meanwhile, the contribution of pollution in summer to the annual load is greater in the wet year than that in the dry year. The spatial distributions of subbasins with high unit loads of phosphorus differ under different hydrological conditions, meaning that critical areas for pollution control vary with the wetness of each year. All these findings indicate that for pollution control at basin scale, considering the seasonal and interannual variabilities in hydrological conditions is highly demanded.

scholarly journals Aufeis in the mountainous areas of the northwestern part of the Selenga River basin

2021 ◽  
Vol 885 (1) ◽  
pp. 012034
Author(s):  
V N Chernykh ◽  
B V Sodnomov ◽  
A A Ayurzhanaev ◽  
B Z Tsydypov ◽  
D B Dabaeva ◽  
...  
Keyword(s):  
River Basin ◽  
Satellite Imagery ◽  
Ice Formation ◽  
Northwestern Part ◽  
Economic Aspects ◽  
Mountainous Areas ◽  
Selenga River Basin ◽  
Selenga River ◽  
Small Watersheds ◽  
Current Location

Abstract The article presents the results of research on aufeis (icings) in the area where their concentration is maximal for the Selenga River basin. Landsat and Sentinel satellite imagery data were used to map the current location of aufeis in the valleys of permanent watercourses of the transboundary Dzhida River basin. It was found out that up to 3.5 thousand small aufeis with the area from 0.005 to 1 km2 are formed in small watersheds of the territory. The total area of aufeis within the considered territory can reach up to 92.1 km2, the aufeis coverage is 0.45%. It is revealed that in the total amount, small aufeis prevail, the area of which lies within 0.01 to 0.1 km2. In addition, ecosystem and economic aspects of the processes of ice formation on the territory of Russia and neighbouring Mongolia are considered.

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