Insights into water-energy cobenefits and trade-offs in water resource management

Gao, Jinjing; Li, Chenlong; Zhao, Peng; Zhang, Hongwei; Mao, Guozhu; Wang, Yuan

doi:10.1016/j.jclepro.2018.12.126

Cited by 24 publications

(8 citation statements)

References 29 publications

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“…The dataset they used was the Chinese 2007 Input–Output Table with 135 industrial sectors, which provided China's most detailed sector information at that time. Similar insights can be found in a series of studies on the water–energy nexus at the city level (Fang & Chen, 2017; Gao et al, 2019; Li et al, 2019). For example, Beijing's construction sector was found to be a high‐intensive node for embodied water and carbon (Meng et al, 2019).…”

Section: Drinking Water Systemssupporting

confidence: 75%

Greenhouse gas emissions associated with urban water infrastructure: What we have learnt from China's practice

Zhang

Smith²,

Zhao

et al. 2021

WIREs Water

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Municipal water and wastewater services have complicated sources of greenhouse gas (GHG) emissions, and quantifying their roles is critical for tackling global environmental challenges. In this study we provide a systematic review of the state‐of‐the‐art on GHG emission characterizations of China's urban water infrastructure with the aim of shedding light on global implications for sustainable development. We started by synthesizing a framework on GHG emissions associated with water and wastewater infrastructure. Then we analyzed the different sources of GHG emissions in drinking water and wastewater treatment systems. In drinking water services, electricity consumption is the largest source of GHG emissions. A particular concern in China is the common use of secondary pumping for high‐rise buildings. Optimized pressure management with an efficient pumping system should be prioritized. In wastewater services, non‐CO2 emissions such as methane (CH4) and nitrous oxide (N2O) emissions are substantial, but vary greatly depending on regional and technological differences. Further research directions may include GHG inventory development for urban water systems at the plant level, quantifications of GHG emissions from sewer systems, emission reduction measures via water reclamation, renewable energy recovery, energy efficiency improvement, cost–benefit analyses, and characterizations of Scope 3 emissions. This article is categorized under: Engineering Water > Sustainable Engineering of Water Science of Water > Water and Environmental Change Engineering Water > Planning Water

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Section: Drinking Water Systemssupporting

confidence: 75%

Greenhouse gas emissions associated with urban water infrastructure: What we have learnt from China's practice

Zhang

Smith²,

Zhao

et al. 2021

WIREs Water

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“…The region is characterized by a long ice period in the winter (.6 months a year, surface water is thickly frozen in winter), an unbalanced amount of precipitation (∼80% occurs during July to September), and seasonally variable forms of precipitation (rain and snow) (Gui et al 2012; Figure 2), all of which may result in differences in water-source contributions to the lakes between seasons. Such hydrological variations need to be scientifically estimated to inform high-efficiency environmental management strategies to maintain the sustainability of water resources in Wudalianchi (Gao et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Water-source contributions to barrier lakes and water-rock interactions in the Wudalianchi volcanic area, Northeast China

2021

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Wudalianchi is a typical continental Cenozoic volcanic group rich in potassic volcanic rocks (Northeast China). Five hydrologically connected barrier lakes (Lakes 5 to 1) and upwelling cold mineral springs occur, forming a complex lake-groundwater system. Clarifying the water-source contributions and the role of water-rock interactions in the hydrological cycling for barrier lakes remains a challenge from scientific and engineering perspectives. In this study, seasonal variations of multiple isotopes were analyzed. δ18O and δD data indicate that the Wudalianchi lakes were mainly fed by mineral springs. The values, however, were greatly influenced by precipitation (rain and snow) and varying evaporation intensities. In contrast, 87Sr/86Sr ratios varied little between seasons (0.70701–0.7079), suggesting similar water-rock interactions through time. Nonetheless, Sr isotopic mixing models suggested that shallow mineral springs generally contributed >50% of the water to lower reaches. In contrast, the upstream wetland contributed >50% to Lake 5 and decreased down-valley (10.3–53.6%). Calculations based on the δ18O and δD Rayleigh fractionation equation suggest that evaporation in upper reaches were higher than the lower reaches. The evaporation in July were generally higher than in October. This study demonstrates the homogenous water-rock interactions and the associated water mixing effects on the terrestrial volcanic area.

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“…SDA has been widely used to distinguish production effects and final demand effects in multiple departments and evaluating direct and indirect effects by using input-output tables. Many studies have used these two methods to explore the driving forces of energy consumption and emissions [4,5].…”

Section: Introductionmentioning

confidence: 99%

The temporal characteristics and decomposition analyses of energy consumption for industrial wastewater treatment in the Beijing-Tianjin-Hebei region

Wang,

Chen

2021

Preprint

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The multi-year wastewater-related energy in the Beijing-Tianjin-Hebei (BTH) region are calculated. The Logarithmic Mean Divisia Index (LMDI) method is used to analyze the driving factors of energy consumption for industrial wastewater treatment (wastewater-related energy). The results of driving force analysis illustrate that: From 2010 to 2018, the energy consumptions related to industrial wastewater in the BTH increase by 1.91, 1.50, and 1.11 times, respectively. The power consumption intensity and economic activity are the main drivers for the increase of industrial wastewaterrelated energy consumption. In contrast, the industrial structure is the main driver for its decrease. A significant increase in industrial wastewater-related energy consumption occurred between 2014 and 2018 (increased by 37.42 million kWh), while the decrease occurred from 2011 to 2014 (decreased by 11.02 million kWh). By identifying the critical driving factors of energy consumption change for wastewater treatment, this study aims to provide energy saving strategy to boost the synergies of energy-water nexus in industrial wastewater treatment.

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Insights into water-energy cobenefits and trade-offs in water resource management

Cited by 24 publications

References 29 publications

Greenhouse gas emissions associated with urban water infrastructure: What we have learnt from China's practice

Greenhouse gas emissions associated with urban water infrastructure: What we have learnt from China's practice

Water-source contributions to barrier lakes and water-rock interactions in the Wudalianchi volcanic area, Northeast China

The temporal characteristics and decomposition analyses of energy consumption for industrial wastewater treatment in the Beijing-Tianjin-Hebei region

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