Modeling domestic water demand in Huaihe River Basin of China under climate change and population dynamics

Wang, Xiao Jun; Zhang, Jian Yun; Shahid, Shamsuddin; Xie, Wei; Du, Chao; Shang, Xiao; Xu, Zengguang

doi:10.1007/s10668-017-9919-7

Cited by 17 publications

(11 citation statements)

References 36 publications

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“…However, due to the complexity of climate change research, there are great challenges, which need to be further explored by human beings and the progress of research technology. In addition, studies have shown that human activities will reflect climate change and further aggravate the imbalance between supply and demand of water resources in the Huaihe River Basin [ 30 , 67 ]. However, our paper does not focus on the analysis of the impact of climate change on water resources in the Huaihe River Basin, but on the analysis of the existing water resources use and supply, describes the status quo of the balance between supply and demand of water resources in the Huaihe River Basin and excavates the main driving factors.…”

Section: Discussion and Suggestionsmentioning

confidence: 99%

“…The average annual total water resources of Huaihe River Basin are 79.4 billion m 3 and the total available water resources is 44.5 billion m 3 . With the water supply from the Yangtze River 5.626 billion m 3 and from the Yellow River 3.215 billion m 3 , Huaihe River Basin can almost meet the demand of water resources [29,30]. Huaihe River Basin per capita water resources share is about 1/5 of the national per capita water resources, however the average population density of the basin is 4.5 times that of the whole country [31] which make this area a serious water shortage place.…”

Section: Introductionmentioning

confidence: 99%

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The gap of water supply—Demand and its driving factors: From water footprint view in Huaihe River Basin

Fan

Huang

et al. 2021

PLoS ONE

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Climate change, population growth, the development of industrialization and urbanization are increasing the demand for water resources, but the water pollution is reducing the limited water supply. In recent years, the gap between water supply and demand which shows water scarcity situation is becoming more serious. Clear knowing this gap and its main driving factors could help us to put forward water protection measures correctly. We take the data of Huaihe River Basin from 2001 to 2016 as an example and use ecological water footprint to describe the demand, with the water carrying capacity representing the supply. We analyze the water supply-demand situation of Huaihe River Basin and its five provinces from footprint view in time and space. Then we apply the Logarithmic Mean Divisia Index model to analyze the driving factors of the ecological water footprint. The results show that: (1) the supply and demand balance of Huaihe River Basin was only achieved in year 2003 and 2005. There is also a large difference between Jiangsu province and other provinces in Huaihe River basin, most years in Jiangsu province per capital ecological footprint of water is more than 1 hm2/person except the years of 2003, 2015, and 2016. But other provinces are all less than 1 hm2/person. (2) Through the decomposition of water demand drivers, we concluded that economic development is the most important factor, with an annual contribution of more than 60%. Our study provides countermeasures and suggestions for the management and optimal allocation of water resources in Huaihe River Basin, and also provides reference for the formulation of water-saving policies in the world.

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Section: Discussion and Suggestionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The gap of water supply—Demand and its driving factors: From water footprint view in Huaihe River Basin

Fan

Huang

et al. 2021

PLoS ONE

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show abstract

“…Following the literature concerned with modeling future water consumption in China [66,67], we consider the following factors in constructing our scenarios: (a) population growth, (b) per-capita water consumption, and (c) urbanization rates. For population trajectories, we rely on the "high-variant" and "low-variant" scenarios taken from the population division of the United Nations [68].…”

Section: Policy Scenariosmentioning

confidence: 99%

The Impacts of Climate Change on Wastewater Treatment Costs: Evidence from the Wastewater Sector in China

Reznik

Dinar

2020

Water

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Treatment of wastewater is expected to become a major development issue in the years to come. We investigate the relationship between climate and costs of wastewater treatment with the objective of examining if changes in climate might have an impact on the costs of wastewater treatment. For that purpose, we use a cross-section sample of 163 treatment plants from China to estimate the industry’s cost function. The methodology used comprises an econometric estimation procedure of treatment costs of the wastewater sector, and a simulation of changes in these costs predicted with future climate conditions, policy implementation scenarios, population growth and development trends. Our results find evidence of climate change impact on treatment costs. We also simulate potential impact of future policy and climate scenarios on costs of treatment, and we measure the cost impact of all other cost determinants but climate—as these are indirectly affected by accounting for climate in the estimation procedure. This indirect impact predicts total cost changes of different magnitudes across the range of future scenarios investigated.

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“…In addition, the annual precipitation in the Huai River basin also varies greatly chronologically. Historically speaking, the mean annual precipitation over the whole region is approximately 880 mm [ 44 ]. However, the actual mean annual precipitation ranges from the lowest record of 300 mm to the highest record year with 1300 mm.…”

Section: Case Studymentioning

confidence: 99%

Assessing Water Resources Vulnerability by Using a Rough Set Cloud Model: A Case Study of the Huai River Basin, China

Chen

Feng

Zhang

2018

Entropy

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Assessing water resources vulnerability is the foundation of local water resources management. However, as one of the major water systems in China, there is no existing evaluation index system that can effectively assess water resource vulnerability for the Huai River basin. To address this issue, we identified key vulnerability factors, constructed an evaluation index system, and applied such system to evaluate water resources vulnerability for the Huai River basin empirically in this paper. Specifically, our evaluation index system consists of 18 indexes selected from three different aspects: water shortage, water pollution, and water-related natural disaster. Then, the improved blind deletion rough set method was used to reduce the size of the evaluation index while keep the evaluation power. In addition, the improved conditional information entropy rough set method was employed to calculate the weights of evaluation indexes. Based on the reduced index system and calculated weights, a rough set cloud model was applied to carry out the vulnerability evaluation. The empirical results show that the Huai River basin water resources were under severe vulnerability conditions for most of the time between 2000 and 2016, and the Most Stringent Water Resources Management System (MS-WRMS) established in 2012 did not work effectively as expected.

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Modeling domestic water demand in Huaihe River Basin of China under climate change and population dynamics

Cited by 17 publications

References 36 publications

The gap of water supply—Demand and its driving factors: From water footprint view in Huaihe River Basin

The gap of water supply—Demand and its driving factors: From water footprint view in Huaihe River Basin

The Impacts of Climate Change on Wastewater Treatment Costs: Evidence from the Wastewater Sector in China

Assessing Water Resources Vulnerability by Using a Rough Set Cloud Model: A Case Study of the Huai River Basin, China

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