An integrated approach to evaluate potential impact of precipitation and land-use change on streamflow in Srepok River Basin

Kawasaki, Akiyuki; Takamatsu, Masatsugu; He, Janet; Rogers, Peter; Herath, Srikantha

doi:10.5638/thagis.18.117

Cited by 12 publications

(5 citation statements)

References 26 publications

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“…Despite increasing precipitation, an increase in water demand, mainly agricultural water demand due to population increase, has a higher effect on the stream flow since there would be increased abstractions from the river. The findings were consistent with those obtained by Kawasaki et al (2010), who reported that population growth and land development had a greater impact on streamflow change than precipitation in the 50 years studied.…”

Section: Long-term Impact Scenario Analysissupporting

confidence: 92%

“…The climate data used in this study was downloaded from the Water Weather Energy Ecosystem website (www.2w2e.com) at a 0.5⁰ spatial resolution for the coordinates range of latitude −1⁰ to 0⁰ south, and longitude 37⁰ to 38⁰ east. Global climate data are generally more reliable for temperature than precipitation prediction; however, ensemble approaches could reduce these uncertainties (Kawasaki et al, 2010). The ensemble of the climate model projections shows an average annual temperature rise of 0.4 °C in 2030 and 1.4 °C in 2060; and a projected average annual precipitation increase of 2.2% by 2030 and 5.7% by 2060 with higher increases in March (4.1% and 12.5%) and October (9.4% and 18.2%) in the two periods.…”

Section: Long-term Streamflow Response To Land Use and Climate Changesmentioning

confidence: 99%

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Evaluation of the Streamflow Response to Agricultural Land Expansion in the Thiba River Watershed in Kenya

Oduor,

Mutua,

Gathagu

et al. 2023

A&R

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The expansion of agricultural lands in the Thiba River watershed, particularly in the Mwea Irrigation Scheme and other parts of the watershed, has resulted in excessive water abstraction from the Thiba River, thereby reducing its flow and affecting its downstream users. This study aimed to evaluate the potential impacts of the expansion of agricultural lands on the streamflow regime of the Thiba River and its impact on the downstream users by comparing the 2004 and 2014 land uses and simulating the long-term impact using the HEC-GeoHMS and HEC-HMS models. The results showed a considerable decline in the streamflow in the dry months compared to the wet months, with increasing water abstraction trends from 2007 to 2014. The long-term impact assessment showed an average decline in streamflow in the near (2030) and far (2060) future due to land use and population changes with minimal impact from the increasing precipitation. Based on these findings, there is a need for proper water management and adaptation mechanisms to be put in place to maintain the future water supply from the Thiba River. The study's findings could assist policy and decision-makers in making informed water resource management decisions.

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Section: Long-term Impact Scenario Analysissupporting

confidence: 92%

Section: Long-term Streamflow Response To Land Use and Climate Changesmentioning

confidence: 99%

Evaluation of the Streamflow Response to Agricultural Land Expansion in the Thiba River Watershed in Kenya

Oduor,

Mutua,

Gathagu

et al. 2023

A&R

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“…Most analyses of climate change impacts on river discharge in Vietnam have, to date, mainly focused on climate projection forcing from individual GCM or ensemble of GCMs. For example, Kawasaki et al (2010) used HEC-HMS model feeding from climate projections from Japanese Meteorological Agency GCM for the SRES A1B scenario to assess the climate changes impacts on water resources in Srepok watershed. Thai & Thuc (2011) employed MIKE 11 -NAM hydrological model and climate change scenarios of MONRE (2009), downscaled by MAGICC/SCENGEN and PRECIS model from GCMs to evaluate the impacts of climate change on the flow in Hong -Thai Binh and Dong Nai river basins.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty in climate change impacts on streamflow inBeRiverCatchment,Vietnam

Khôi

Suetsugi

2012

Water & Environment J

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This paper focuses on the uncertainty in climate change impacts on streamflow in Be River Catchment. Uncertainty associated with GCM structure from a subset of CMIP3 (CCCMA CGCM3.1, CSIRO Mk30, IPSL CM4, MPI ECHAM5, NCAR CCSM3.0, UKMO HadGEM1, and UKMO HadCM3), SRES emission scenarios (A1B, A2, B1, and B2), and prescribed increases in global mean temperature (0.5°C to 6°C) using SWAT model is investigated. For prescribed warming scenarios using HadCM3, linear decreases in mean annual streamflow range from 3.1 to 16.7%. Differences in projected annual streamflow between SRES emission scenarios using HadCM3 are small (−5.6% to −4.6%). Under the A1B scenario and 2°C increase in global mean temperature using seven GCMs, there is substantial disparity, by −2.9–25.5% and −8.3–19.1%, respectively. It is generally reasonable to conclude that GCM structure‐related uncertainty is greater than that associated with the emission scenarios and climate sensitivity.

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“…Across dierent regions and times of the year, water resources are not evenly distributed (see [12]). Characterized by water-related development pressures and cross-boundary problems, increasing attention has been recently paid to Vietnam, particularly where there are limited ground monitoring stations (Kawasaki et al [4], Tran et al [7,8]; Vu et al [9]).…”

Section: Introductionmentioning

confidence: 99%

Developing a Coupling Model System of Global Rainfall Data and Open-Source Model for Water Forecast in Poorly Gauged Basins

Bui¹,

Tran²,

Vu³

et al. 2019

J. ADV. ENG. COMPUT.

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Water security is under severe pressures from human interventions and climate change in all over the world and improved water forecast is essential for water management. HYPE is a semi-distributed hydrographic model, running on Windows or Linux operating systems. The code of the model is written by the Fortran programming language and open source as Lesser GNU Public License. HYPE has been becoming a widely used tool in the forecasting of transboundary flows. However, the application of HYPE encounters many difficulties in processing input data and serving the construction, calibration, and validation of the model. This article introduces the development of the V-HYPE tool that helps a couple of global rainfall data and HYPE model for operational use. V-HYPE allows developing a user-friendly interface and setting parameters of the HYPE model as well as evaluating errors and transforming and visually displaying the results of the model. Besides, the V-HYPE has the ability to show related maps (i.e. sub-basins, river network, lake, and dams, etc), set up input data, automatically download global rainfall data, and visually display results on WebGIS. V-HYPE also can generate bulletins supporting for operational water resources warning and forecasting works in Vietnam. The utilities of this tool are demonstrated in the case study of Serepok river basin.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.

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An integrated approach to evaluate potential impact of precipitation and land-use change on streamflow in Srepok River Basin

Cited by 12 publications

References 26 publications

Evaluation of the Streamflow Response to Agricultural Land Expansion in the Thiba River Watershed in Kenya

Evaluation of the Streamflow Response to Agricultural Land Expansion in the Thiba River Watershed in Kenya

Uncertainty in climate change impacts on streamflow inBeRiverCatchment,Vietnam

Developing a Coupling Model System of Global Rainfall Data and Open-Source Model for Water Forecast in Poorly Gauged Basins

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