Impact of Climate Change on the Irrigation Water Requirement in Northern Taiwan

Lee, Jyun-Long; Huang, Wen-Cheng

doi:10.3390/w6113339

Cited by 26 publications

(17 citation statements)

References 19 publications

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“…Since the climate projections have a strong variability, 100 stochastic datasets were generated by the downscaling model (NHMM) for different GCMs. Rather than selecting a few ensembles of a suite of models, as usually done in many studies (Fischer et al, 2007;Xiong et al, 2010;Gondim et al, 2012;Save et al, 2012;Lee and Huang, 2014;Woznicki et al, 2015), we adopted all 100 ensembles of a better performing model (Charles and Fu, 2015) so that the uncertainty in climate projections can be adequately addressed in modeling scenarios. The GCM (GFDL ESM2 M) data downscaled for RCP8.5 for Loxton in the Riverland were used in the current modeling study to consider the worst-case scenario for the water related risks to viticulture.…”

Section: Climatic Parameters For Modelingmentioning

confidence: 99%

“…However, the information on the future irrigation requirements of viticulture and the magnitude of other related risks (salinity) in the soil is sparse. A number of modeling studies have attempted to evaluate the effects of climate change on water use in agriculture for other crops (Fischer et al, 2007;Elgaali et al, 2007;De Silva et al, 2007;Xiong et al, 2010;Gondim et al, 2012;Save et al, 2012;Lee and Huang, 2014;Woznicki et al, 2015). Most of these studies showed an increase in the irrigation demand for typical annual crops.…”

Section: Introductionmentioning

confidence: 99%

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Identifying the future water and salinity risks to irrigated viticulture in the Murray-Darling Basin, South Australia

Phogat

Cox

Šimůnek

2018

Agricultural Water Management

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Section: Climatic Parameters For Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Identifying the future water and salinity risks to irrigated viticulture in the Murray-Darling Basin, South Australia

Phogat

Cox

Šimůnek

2018

Agricultural Water Management

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“…In light of the comprehensive effects of various factors, including the natural environment, social economy, and technology, more than 40 countries worldwide (about 40% of the global population) currently face critical water shortages, severely restricting their sustainable social and ecological development [1,5,6]. Imbalances in water supply and demand lead to shortages; specifically, global climate change, population growth, rapid urbanization, and agricultural expansion have all caused the water demands of different sectors to increase rapidly [7][8][9][10][11]. Global warming leads to increased evapotranspiration, which aggravates water cycling processes and causes increased rainfall [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Patterns of Crop Irrigation Water Requirements in the Heihe River Basin, China

Liu

Song

Deng

2017

Water

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Abstract:Agricultural expansion, population growth, rapid urbanization, and climate change have all significantly impacted global water supply and demand and have led to a number of negative consequences including ecological degradation and decreases in biodiversity, especially in arid and semi-arid areas. The agricultural sector consumes the most water globally; crop irrigation alone uses up more than 80% of available agricultural water. Thus, to maintain sustainable development of the global economy and ecosystems, it is crucial to effectively manage crop irrigation water. We focus on the arid and semi-arid Heihe River Basin (HRB), China, as a case study in this paper, extracting spatiotemporal information on the distribution of crop planting using multi-temporal Thematic Mapper and Enhanced Thematic Mapper Plus (TM/ETM+) remote sensing (RS) images. We estimate the spatiotemporal crop irrigation water requirements (IWR c ) using the Food and Agriculture Organization of the United Nations (FAO) Penman-Monteith method and reveal variations in IWR c . We also analyze the impact of changes in crop planting structure on IWR c and discuss strategies for the rational allocation of irrigation water as well as policies to alleviate imbalance between water supply and demand. The results of this study show that effective rainfall (ER) decreases upstream-to-downstream within the HRB, while crop evapotranspiration under standard conditions (ET c ) increases, leading to increasing spatial variation in IWR c from zero up to 150 mm and between 300 and 450 mm. Data show that between 2007 and 2012, annual mean ER decreased from 139.49 to 106.29 mm, while annual mean ET c increased from 483.87 to 500.38 mm, and annual mean IWR c increased from 339.95 to 370.11 mm. Data show that monthly mean IWR c initially increased before decreasing in concert with crop growth. The largest values for this index were recorded during the month of June; results show that IWR c for May and June decreased by 8.14 and 11.67 mm, respectively, while values for July increased by 5.75 mm between 2007 and 2012. These variations have helped to ease the temporal imbalance between water supply and demand. Mean IWR c values for oilseed rape, corn, barley, and other crops all increased over the study period, from 208. 43, 349.35, 229.26, and 352.85 mm, respectively, in 2007, to 241.81, 393.10, 251.17, and 378.86 mm, respectively, in 2012. At the same time, the mean IWR c of wheat decreased from 281.53 mm in 2007 to 266.69 mm in 2012. Mainly because of changes in planting structure, the total IWR c for the HRB in 2012 reached 2692.58 × 10 6 m 3 , an increase of 332.16 × 10 6 m 3 (14.07%) compared to 2007. Data show that 23.11% (76.77 × 10 6 m 3 ) of this increase is due to crop transfers, while the remaining 76.89% (255.39 × 10 6 m 3 ) is the result of the rapid expansion of cultivated land. Thus, to maintain both the sustainable development and ecological security of the HRB, it is crucial to efficiently manage and utilize agricultural water in light of spat...

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“…Fares et al [5] reported that future change in precipitation on citrus irrigation requirements is not constant across climatic regions; the effect of precipitation was more pronounced in humid climates than in arid climates. However, under certain conditions, several authors reported that the effects of decrease in precipitation on IRR would be masked by the effect of CO 2 on crop evapotranspiration [5,13,28,32].…”

Section: Effects Of Changes In Precipitation On Irrigation Requirementmentioning

confidence: 99%

Assessing Potential Climate Change Impacts on Irrigation Requirements of Major Crops in the Brazos Headwaters Basin, Texas

Awal

Fares

Bayabil

2018

Water

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In order for the agricultural sector to be sustainable, farming practices and management strategies need to be informed by site-specific information regarding potential climate change impacts on irrigation requirements and water budget components of different crops. Such information would allow managers and producers to select cropping systems that ensure efficient use of water resources and crop productivity. The major challenge in understanding the link between cropping systems and climate change is the uncertainty of how the climate would change in the future and lack of understanding how different crops would respond to those changes. This study analyzed the potential impact of climate change on irrigation requirements of four major crops (cotton, corn, sorghum, and winter wheat) in the Brazos Headwaters Basin, Texas. The irrigation requirement of crops was calculated for the baseline period and three projected periods: 2020s (2011-2030), 2055s (2046-2065), and 2090s (2080-2099). Daily climate predictions from 15 general circulation models (GCMs) under three greenhouse gas (GHG) emission scenarios (B1, A1B, and A2) were generated for three future periods using the Long Ashton Research Station-Weather Generator (LARS-WG) statistical downscaling model. Grid-based (55 grids at~38 km resolution) irrigation water requirements (IRRs) and other water budget components of each crop were calculated using the Irrigation Management System (IManSys) model. Future period projection results show that evapotranspiration (ET) and IRR will increase for all crops, while precipitation is projected to decrease compared with the baseline period. On average, precipitation meets only 25-32% of the ET demand, depending on crop type. In general, projections from almost all GCMs show an increase in IRR for all crops for the three future periods under the three GHG emission scenarios. Irrigation requirement prediction uncertainty between GCMs was consistently greater in July and August for corn, cotton, and sorghum regardless of period and emission scenario. However, for winter wheat, greater uncertainties between GCMs were observed during April and May. Irrigation requirements show significant variations across spatial locations. There was no consistent spatial trend in changes of IRR for the four crops. A unit change in precipitation is projected to affect IRR differently depending on the crop type.

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Impact of Climate Change on the Irrigation Water Requirement in Northern Taiwan

Cited by 26 publications

References 19 publications

Identifying the future water and salinity risks to irrigated viticulture in the Murray-Darling Basin, South Australia

Identifying the future water and salinity risks to irrigated viticulture in the Murray-Darling Basin, South Australia

Spatiotemporal Patterns of Crop Irrigation Water Requirements in the Heihe River Basin, China

Assessing Potential Climate Change Impacts on Irrigation Requirements of Major Crops in the Brazos Headwaters Basin, Texas

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