Critical evaluation of the hydrological, biological and sociological impacts of the implementation of flood control check dams in the Upper Marikina River Basin Protected Landscape, Philippines

2021 ◽  
pp. 1-31
Author(s):  
Rej Winlove M. Bungabong ◽  
Wade L. Hadwen ◽  
Larry V. Padilla
Keyword(s):  
River Basin ◽  
Flood Control ◽  
Critical Evaluation ◽  
Check Dams

scholarly journals Fitoplâncton como Bioindicador de Eventos Extremos na Bacia do Rio Una, Pernambuco, Brasil (Phytoplankton as Bioindicator of Extreme Events in River Basin Una, Pernambuco, Brazil)

2013 ◽  
Vol 6 (4) ◽  
pp. 697 ◽  
Author(s):  
Ariane Silva Cardoso ◽  
Silvio Mario Pereira da Silva Filho ◽  
Anthony Epifanio Alves ◽  
Cacilda Michele Cardoso Rocha ◽  
Maristela Casé Costa Cunha
Keyword(s):  
Water Quality ◽  
Population Dynamics ◽  
Control System ◽  
Environmental Factors ◽  
River Basin ◽  
Flood Control ◽  
Frequency Of Occurrence ◽  
Check Dams ◽  
Transitional Environment ◽  
The Government

A Bacia do Rio Uma é uma das Bacias Hidrográficas mais importantes do Estado de Pernambuco, e vem enfrentando desastres causados por cheias. Em resposta as últimas enchentes ocorridas no Estado, o Governo de Pernambuco desenvolveu um Sistema de Controle de Cheias, com uma programação para o Rio Una, de construção de quatro barragens de contenção, represamento e regularização de abastecimento de água nas cidades circundantes. A qualidade da água após a transição de um ambiente lótico para lêntico poderá ser alterada e dependerá de diversos fatores ambientais. O fitoplâncton responde com boa fidelidade a essas mudanças. Nas bacias estudadas, foram identificados 45 táxons infragenéricos de organismos fitoplanctônicos pertencentes ao grupo das Ochorophyta (40%), Chlorophyta (20%), Charophyta (20%), Cyanophyta (13%) e Euglenophyta (7%). Sendo a divisão Ochrophyta mais representativa com relação à riqueza e frequência de ocorrência. Não ocorrem valores expressivos de densidade nas amostragens. Assim, estudar a composição e a dinâmica populacional da comunidade fitoplanctônica é de fundamental importância para o entendimento da sustentação e conservação desse ecossistema, sobretudo por se tratar de um ambiente em transição e pela carência de estudos na região. ABSTRACT A River Basin is one of the most important Watershed State of Pernambuco, and this has been facing disasters caused by floods. In response to the recent floods occurred in the State, the Government of Pernambuco developed a Flood Control System, with a schedule for the Rio Una, four-building check dams, impoundment and regulation of water supply in the surrounding towns. The water quality after the transition from a lotic to lentic may change and depend on various environmental factors. Phytoplankton responds with good fidelity to these changes. Basins studied, 46 were identified taxa of phytoplankton organisms belonging to the group Ochorophyta (40%), Chlorophyta (20%), Charophyta (20%), Cyanophyta (13%) and Euglenophyta (7%). As the division Ochrophyta more representative with respect to wealth and frequency of occurrence. No significant values occur in sampling density. Thus, studying the composition and population dynamics of phytoplankton is of fundamental importance for the understanding and support of the conservation of this ecosystem, mainly because it is a transitional environment and the lack of studies in the region. Keywords: Phytoplankton, Una River basin, impounding water.

scholarly journals The application of environmental governance for sustainable watershed-based management

2021 ◽  
Author(s):  
Seiichi Kagaya ◽  
Tetsuya Wada
Keyword(s):  
Environmental Protection ◽  
River Basin ◽  
Watershed Management ◽  
Water Use ◽  
Flood Control ◽  
Environmental Governance ◽  
Planning Process ◽  
Environment Assessment ◽  
Control Water

AbstractIn recent years, it has become popular for some of countries and regions to adapt the system of governance to varied and complex issues concerned with regional development and the environment. Watershed management is possibly the best example of this. It involves flood control, water use management and river environment simultaneously. Therefore, comprehensive watershed-based management should be aimed at balancing those aims. The objectives of this study are to introduce the notion of environmental governance into the planning process, to establish a method for assessing the alternatives and to develop a procedure for determining the most appropriate plan for environmental governance. The planning process here is based on strategic environment assessment (SEA). To verify the hypothetical approach, the middle river basin in the Tokachi River, Japan was selected as a case study. In practice, after workshop discussions, it was found to have the appropriate degree of consensus based on the balance of flood control and environmental protection in the watershed.

Comprehensive Flood Control Measures in the Tsurumi River Basin in Japan

1997 ◽  
Vol 22 (4) ◽  
pp. 252-258 ◽  
Author(s):  
Tadahiko Nakao ◽  
Koji Tanimoto
Keyword(s):  
River Basin ◽  
Flood Control ◽  
Control Measures

scholarly journals Improving TIGGE Precipitation Forecasts Using an SVR Ensemble Approach in the Huaihe River Basin

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Chenkai Cai ◽  
Jianqun Wang ◽  
Zhijia Li
Keyword(s):  
River Basin ◽  
Lead Time ◽  
Flood Control ◽  
Ensemble Methods ◽  
New Method ◽  
Support Vector ◽  
Huaihe River Basin ◽  
Huaihe River ◽  
Reservoir Regulation ◽  
The Huaihe River

Recently, the use of the numerical rainfall forecast has become a common approach to improve the lead time of streamflow forecasts for flood control and reservoir regulation. The control forecasts of five operational global prediction systems from different centers were evaluated against the observed data by a series of area-weighted verification and classification metrics during May to September 2015–2017 in six subcatchments of the Xixian Catchment in the Huaihe River Basin. According to the demand of flood control safety, four different ensemble methods were adopted to reduce the forecast errors of the datasets, especially the errors of missing alarm (MA), which may be detrimental to reservoir regulation and flood control. The results indicate that the raw forecast datasets have large missing alarm errors (MEs) and cannot be directly applied to the extension of flood forecasting lead time. Although the ensemble methods can improve the performance of rainfall forecasts, the missing alarm error is still large, leading to a huge hazard in flood control. To improve the lead time of the flood forecast, as well as avert the risk from rainfall prediction, a new ensemble method was proposed on the basis of support vector regression (SVR). Compared to the other methods, the new method has a better ability in reducing the ME of the forecasts. More specifically, with the use of the new method, the lead time of flood forecasts can be prolonged to at least 3 d without great risk in flood control, which corresponds to the aim of flood prevention and disaster reduction.

scholarly journals Optimal Rainfall Estimation by Considering Elevation in the Han River Basin, South Korea

2013 ◽  
Vol 52 (4) ◽  
pp. 802-818 ◽  
Author(s):  
Seong-Sim Yoon ◽  
Deg-Hyo Bae
Keyword(s):  
South Korea ◽  
River Basin ◽  
Flood Control ◽  
Rainfall Data ◽  
Spatiotemporal Variability ◽  
Radar Rainfall ◽  
Mountainous Regions ◽  
Han River ◽  
Orographic Rainfall ◽  
Han River Basin

AbstractMore than 70% of South Korea has mountainous terrain, which leads to significant spatiotemporal variability of rainfall. The country is exposed to the risk of flash floods owing to orographic rainfall. Rainfall observations are important in mountainous regions because flood control measures depend strongly on rainfall data. In particular, radar rainfall data are useful in these regions because of the limitations of rain gauges. However, radar rainfall data include errors despite the development of improved estimation techniques for their calculation. Further, the radar does not provide accurate data during heavy rainfall in mountainous areas. This study presents a radar rainfall adjustment method that considers the elevation in mountainous regions. Gauge rainfall and radar rainfall field data are modified by using standardized ordinary cokriging considering the elevation, and the conditional merging technique is used for combining the two types of data. For evaluating the proposed technique, the Han River basin was selected; a high correlation between rainfall and elevation can be seen in this basin. Further, the proposed technique was compared with the mean field bias and original conditional merging techniques. Comparison with kriged rainfall showed that the proposed method has a lesser tendency to oversmooth the rainfall distribution when compared with the other methods, and the optimal mean areal rainfall is very similar to the value obtained using gauges. It reveals that the proposed method can be applied to an area with significantly varying elevation, such as the Han River basin, to obtain radar rainfall data of high accuracy.

scholarly journals Artificial Neural Network Model for Estimation of Suspended Sediment Load in Krishna River Basin, India

2020 ◽  
Vol 9 (3) ◽  
pp. 3701-3705
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Water Level ◽  
Suspended Sediment ◽  
River Basin ◽  
Flood Control ◽  
Sediment Load ◽  
Water Discharge ◽  
Suspended Sediment Load ◽  
Artificial Neural

The correct assessment of amount of sediment during design, management and operation of water resources projects is very important. Efficiency of dam has been reduced due to sedimentation which is built for flood control, irrigation, power generation etc. There are traditional methods for the estimation of sediment are available but these cannot provide the accurate results because of involvement of very complex variables and processes. One of the best suitable artificial intelligence technique for modeling this phenomenon is artificial neural network (ANN). In the current study ANN techniques used for simulation monthly suspended sediment load at Vijayawada gauging station in Krishna river basin, Andhra Pradesh, India. Trial & error method were used during the optimization of parameters that are involved in this model. Estimation of suspended sediment load (SSL) is done using water discharge and water level data as inputs. The water discharge, water level and sediment load is collected from January 1966 to December 2005. This approach is used for modelled the SSL. By considering the results, ANN has the satisfactory performance and more accurate results in the simulation of monthly SSL for the study location.

STUDY ON FLOOD CONTROL BASED ON INVESTIGATION OF INLAND FLOODS IN ROKKAKU RIVER BASIN DUE TO 2019 SAGA HEAVY RAIN

2020 ◽  
Vol 76 (2) ◽  
pp. I_481-I_486
Author(s):  
Koyo OTA ◽  
Takehiko ITO ◽  
Shiho ONOMURA ◽  
Tomoya KATAOKA ◽  
Yasuo NIHEI
Keyword(s):  
River Basin ◽  
Flood Control ◽  
Heavy Rain

scholarly journals Assessing the Impact of Reservoir Parameters on Runoff in the Yalong River Basin using the SWAT Model

Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 643 ◽  
Author(s):  
Xuan Liu ◽  
Mingxiang Yang ◽  
Xianyong Meng ◽  
Fan Wen ◽  
Guangdong Sun
Keyword(s):  
River Basin ◽  
Flood Control ◽  
Hydrological Cycle ◽  
Swat Model ◽  
Relative Location ◽  
Reservoir Capacity ◽  
Joint Operation ◽  
The Impact ◽  
Yalong River ◽  
Yalong River Basin

The construction and operation of cascade reservoirs has changed the natural hydrological cycle in the Yalong River Basin, and reduced the accuracy of hydrological forecasting. The impact of cascade reservoir operation on the runoff of the Yalong River Basin is assessed, providing a theoretical reference for the construction and joint operation of reservoirs. In this paper, eight scenarios were set up, by changing the reservoir capacity, operating location, and relative location in the case of two reservoirs. The aim of this study is to explore the impact of the capacity and location of a single reservoir on runoff processes, and the effect of the relative location in the case of joint operation of reservoirs. The results show that: (1) the reservoir has a delay and reduction effect on the flood during the flood season, and has a replenishment effect on the runoff during the dry season; (2) the impact of the reservoir on runoff processes and changes in runoff distribution during the year increases with the reservoir capacity; (3) the mitigation of flooding is more obvious at the river basin outlet control station when the reservoir is further downstream; (4) an arrangement with the smaller reservoir located upstream and the larger reservoir located downstream can maximize the benefits of the reservoirs in flood control.

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