WATER DEMAND UNDER SOCIOECONOMIC UNCERTAINTY IN THE 3S RIVER BASIN

Author(s):  
Nguyen Thi Thuy TRANG ◽  
Hiroshi ISHIDAIRA
Keyword(s):  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Ting Guo ◽  
Huiying Yu

Starting from the main eco-environmental problems faced by water environment, taking Yanhe River Basin as an example, this paper discusses the theoretical connotation and evaluation calculation method of eco-environmental water consumption. In order to study the eco-environmental water consumption of Yanhe River Basin, a runoff driving factor mining method based on big data analysis is established in this paper. Aiming at the problem that the statistical law and genetic law of runoff change frequently in changing environment, the mining technology method of runoff key driving factors is proposed by combining traditional methods with big data analysis. The characteristic factors that have no significant impact on runoff change are removed, the implicit characteristic factors affecting runoff change are extracted, the driving relationship of hydrological, meteorological, and vegetation characteristic factors on ecological water consumption change is identified, and the key driving factors of ecological water consumption change are extracted, which lays a data foundation for ecological water consumption prediction based on machine learning. The economic water consumption based on eco-environmental water consumption in Yanhe River Basin in the future is predicted (including water demand in three aspects of industry, agriculture, and life); that is, the prediction is to meet the economic water demand on the basis of ensuring that the water consumption of ecological environment will not be occupied, which can effectively ensure the improvement of ecological environment function in Yanhe River Basin and is conducive to the sustainable utilization of water resources in Yanhe River Basin. The research is only based on a small watershed such as Yanhe River Basin, and the purpose of the research is to provide a reference for ecological environment protection and sustainable utilization of water resources in the Loess Plateau, even in the arid, semiarid, and semihumid areas of North China.


Author(s):  
Xiao-jun Wang ◽  
Jian-yun Zhang ◽  
Shamsuddin Shahid ◽  
Lang Yu ◽  
Chen Xie ◽  
...  

Purpose The purpose of this paper is to develop a statistical-based model to forecast future domestic water demand in the context of climate change, population growth and technological development in Yellow River. Design/methodology/approach The model is developed through the analysis of the effects of climate variables and population on domestic water use in eight sub-basins of the Yellow River. The model is then used to forecast water demand under different environment change scenarios. Findings The model projected an increase in domestic water demand in the Yellow River basin in the range of 67.85 × 108 to 62.20 × 108 m3 in year 2020 and between 73.32 × 108 and 89.27 × 108 m3 in year 2030. The general circulation model Beijing Normal University-Earth System Model (BNU-ESM) predicted the highest increase in water demand in both 2020 and 2030, while Centre National de Recherches Meteorologiques Climate Model v.5 (CNRM-CM5) and Model for Interdisciplinary Research on Climate- Earth System (MIROC-ESM) projected the lowest increase in demand in 2020 and 2030, respectively. The fastest growth in water demand is found in the region where water demand is already very high, which may cause serious water shortage and conflicts among water users. Originality/value The simple regression-based domestic water demand model proposed in the study can be used for rapid evaluation of possible changes in domestic water demand due to environmental changes to aid in adaptation and mitigation planning.


2009 ◽  
Vol 34 (2) ◽  
pp. 170-188 ◽  
Author(s):  
David J.H. Phillips ◽  
Anders Jägerskog ◽  
Anthony Turton

2018 ◽  
Vol 192 ◽  
pp. 03043
Author(s):  
Natapon Kaewthong ◽  
Pakorn Ditthakit

The aim of the research is to analyse the effects on agricultural water demand in the Lower Pak Phanang River Basin area due to climate change. The climate data used in the analysis were rainfall, maximum, minimum, and average temperatures. The climate datasets were obtained from statistical downscaling of global circulation model under the CMIP5 project by means of bias correction with Optimizing Quantile Mapping implemented by the Hydro and Agro Informatics Institute. To determine agriculture water demand, reference evapotranspiration (ETo) based on Hargreaves method was calculated for both baseline climate data (1987-2015) and forecasted climate data in 2038. For agriculture water demand in the Pak Phanang river basin, we considered paddy field, palm oil, rubber, grapefruit, orchard, vegetable, ruzy and biennial crop, based on land use data of the Land Development Department of Thailand in 2012. The results showed that forecasted agriculture water demand in 2038 with existing land use data in 2012 will be increased with the average of 18.9% or 61.78 MCM as compared to baseline climate condition. Both water demand and supply management measures would be suitably prepared before facing unexpected situation.


2019 ◽  
Vol 21 ◽  
pp. 176-194 ◽  
Author(s):  
Stefan Liersch ◽  
Samuel Fournet ◽  
Hagen Koch ◽  
Abdouramane Gado Djibo ◽  
Julia Reinhardt ◽  
...  

Water Policy ◽  
2013 ◽  
Vol 15 (5) ◽  
pp. 816-829 ◽  
Author(s):  
Fanus Asefaw Aregay ◽  
Zhao Minjuan ◽  
Zahra Masood Bhutta

Irrigated agricultural production is the backbone of the Chinese agricultural sector, but the increasing demand for irrigation water, its inefficient utilization and overuse of chemical inputs, accompanied by the short supply of water resources have endangered the nation's agricultural and environmental sustainability. The Chinese government has proposed a water pricing policy with the expectation of improving the efficiency of utilizing irrigation water and fertilizer, to mitigate these problems. With the main objective of this paper being to assess the impact of this policy on water demand and environmental sustainability, a positive mathematical programming model was adopted to simulate different irrigation water pricing scenarios based on farm-level primary data from three irrigation districts along the Weihe River basin. The main parameter for assessing water demand was the change in total water consumption relative to the base year, while change in fertilizer consumption and water demand was determined to evaluate the impact of pricing policy on environment sustainability. According to the results, irrigation water demand and fertilizer consumption were mostly price inelastic to water pricing. This implies that water pricing policy can have only a minor role in regulating the water demand and environment in the region even when the base-year water price is doubled.


2020 ◽  
Author(s):  
Fabian Drenkhan ◽  
Randy Muñoz ◽  
Christian Huggel ◽  
Holger Frey ◽  
Fernando Valenzuela ◽  
...  

<p>In the Tropical Andes, glaciers play a fundamental role for sustaining human livelihoods and ecosystems in headwater areas and further downstream. However, current rates of glacier shrinkage driven by climate change as well as increasing water demand levels bear a threat to long-term water supply. While a growing number of research has covered impacts of climate change and glacier shrinkage on the terrestrial water cycle and potential disaster risks, the associated potential economic losses have barely been assessed.</p><p>Here we present an integrated surface-groundwater assessment model for multiple water sectors under current conditions (1981-2016) and future scenarios (2050) of glacier shrinkage and growing water demand. As a case, the lumped model has been applied to the Santa river basin (including the Cordillera Blanca, Andes of Peru) within three subcatchments and considers effects from evapotranspiration, environmental flows and backflows of water use. Therefore, coupled greenhouse gas concentration (RCP2.6 and RCP8.5) and socioeconomic scenarios are used, which provide a broad range of the magnitude of glacier and water volume changes and associated economic impacts. Finally, net water volume released on the long term due to deglaciation effects is quantified and by multiple metrics converted into potential economic costs and losses for the agriculture, household and hydropower sectors. Additionally, the potential damages from outburst floods from current and future lakes have been included. Results for the entire Santa river basin show that water availability would diminish by about 11-16% (57-78 10<sup>6</sup> m³) in the dry season (June-August) and by some 7-10% (103-155 10<sup>6</sup> m³) during the wet season (December-February) under selected glacier shrinkage scenarios until 2050. This is a consequence of diminishing glacier contribution to streamflow which until 2050 would reduce from about 45% to 33% for June-August and from 6% to 4% for December-February. A first rough estimate suggests associated economic losses for main water demand sectors (agriculture, hydropower, drinking water) on the order of about 300 10<sup>6</sup> USD/year by 2050. Additionally, with ongoing glacier shrinkage and the formation of new lakes, about 45,000 inhabitants and 30,000 buildings are expected to be exposed to the risk of outburst floods in the 21<sup>st</sup> century.</p><p>The pressure on water resources and interconnected socio-eonvironmental systems in the basin is already challenging and expected to further exacerbate within the next decades. Currently, water demand levels are considerably increasing driven by growing irrigated (export) agriculture, population and energy demand which is in a large part sustained by hydropower. A coupling of potential water scarcity driven by climate change with a lack of water governance and high human vulnerabilities, bears strong conflict potentials with negative feedbacks for socio-economic development in the Santa basin and beyond. In this context, our coupled hydro-glacial economic impact model provides important support for future decision-making and long-term water management planning. However, uncertainties are relatively high (uncertainty range to be estimated) due to a lack of (good) hydro-climatic and socio-economic information at appropriate spatiotemporal scales. The presented model framework is potentially transferable to other high mountain catchments in the Tropical Andean region and beyond.</p>


2014 ◽  
Vol 641-642 ◽  
pp. 92-96
Author(s):  
Fa Lei Wang ◽  
Wei Hu

According to researches on mechanism and concept of off-stream ecological water demand, off-stream ecological water demand of Fu River Basin is consist of ecological water demand for soil and water conservation and for urban public green space, considering the current situation and planning objectives of off-stream ecological water demand of Fu River Basin. Directly calculation method is employed in this study. Choosing 2005 as the current year in this study, indicators of public green space and soil erosion data are obtained. Then the ecological water demand of urban public green space in Fuzhou City is determined as 0.438×108m3 and the water demand for off-stream soil and water conservation in Fu River Basin is determined as 0.3159×108m3 in virtue of quota method. The off-stream ecological water demand in the Basin (2005 as the current year) is about 0.359×108m3. The determination of the off-stream ecological water demand in the basin provide a scientific basis on taking a variety of water-saving measures, improving the recovery rate of sewage treatment and increasing the off-stream ecological water consumption. Results of this study will make the ecological environment of this area to achieve a healthy state, and shall greatly improve regional water resources and water environmental situation.


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