Loading [MathJax]/jax/output/SVG/jax.js
Research article Special Issues

Analysing the systemic implications of energy efficiency and circular economy strategies in the decarbonisation context

  • Received: 22 November 2021 Revised: 30 March 2022 Accepted: 31 March 2022 Published: 07 April 2022
  • The Paris Agreement goals require a rapid and deep reduction in global greenhouse gas emissions. Recent studies have shown the large potential of circular economy to reduce global emissions by improving resource and material efficiency practices. However, most large-scale energy system and Integrated Assessment Models used for mitigation analysis typically ignore or do not adequately represent circular economy measures. This study aims to fill in this research gap by enhancing a leading global energy system model with a representation of energy efficiency and circular economy considerations. The scenario-based analysis offers an improved understanding of the potentials, costs and impacts of circular economy in the decarbonisation context. The study shows that enhanced energy efficiency and increased material circularity can reduce energy consumption in all sectors, but most importantly in the industrial sector. They can also reduce the required carbon price to achieve Paris goals and the dependence on expensive, immature, and risky technologies, like Carbon Capture and Storage. Circular economy measures should be properly integrated with broad climate policies to provide a holistic and self-consistent framework to deeply reduce carbon emissions.

    Citation: Panagiotis Fragkos. Analysing the systemic implications of energy efficiency and circular economy strategies in the decarbonisation context[J]. AIMS Energy, 2022, 10(2): 191-218. doi: 10.3934/energy.2022011

    Related Papers:

    [1] Cuiying Li, Rui Wu, Ranzhuo Ma . Existence of solutions for Caputo fractional iterative equations under several boundary value conditions. AIMS Mathematics, 2023, 8(1): 317-339. doi: 10.3934/math.2023015
    [2] Ahmed Alsaedi, Fawziah M. Alotaibi, Bashir Ahmad . Analysis of nonlinear coupled Caputo fractional differential equations with boundary conditions in terms of sum and difference of the governing functions. AIMS Mathematics, 2022, 7(5): 8314-8329. doi: 10.3934/math.2022463
    [3] Murat A. Sultanov, Vladimir E. Misilov, Makhmud A. Sadybekov . Numerical method for solving the subdiffusion differential equation with nonlocal boundary conditions. AIMS Mathematics, 2024, 9(12): 36385-36404. doi: 10.3934/math.20241726
    [4] Naimi Abdellouahab, Keltum Bouhali, Loay Alkhalifa, Khaled Zennir . Existence and stability analysis of a problem of the Caputo fractional derivative with mixed conditions. AIMS Mathematics, 2025, 10(3): 6805-6826. doi: 10.3934/math.2025312
    [5] Xinwei Su, Shuqin Zhang, Lixin Zhang . Periodic boundary value problem involving sequential fractional derivatives in Banach space. AIMS Mathematics, 2020, 5(6): 7510-7530. doi: 10.3934/math.2020481
    [6] Ayub Samadi, Chaiyod Kamthorncharoen, Sotiris K. Ntouyas, Jessada Tariboon . Mixed Erdélyi-Kober and Caputo fractional differential equations with nonlocal non-separated boundary conditions. AIMS Mathematics, 2024, 9(11): 32904-32920. doi: 10.3934/math.20241574
    [7] Karim Guida, Lahcen Ibnelazyz, Khalid Hilal, Said Melliani . Existence and uniqueness results for sequential ψ-Hilfer fractional pantograph differential equations with mixed nonlocal boundary conditions. AIMS Mathematics, 2021, 6(8): 8239-8255. doi: 10.3934/math.2021477
    [8] Nichaphat Patanarapeelert, Thanin Sitthiwiratthame . On nonlocal fractional symmetric Hanh integral boundary value problems for fractional symmetric Hahn integrodifference equation. AIMS Mathematics, 2020, 5(4): 3556-3572. doi: 10.3934/math.2020231
    [9] Abdelkader Amara . Existence results for hybrid fractional differential equations with three-point boundary conditions. AIMS Mathematics, 2020, 5(2): 1074-1088. doi: 10.3934/math.2020075
    [10] Yige Zhao, Yibing Sun, Zhi Liu, Yilin Wang . Solvability for boundary value problems of nonlinear fractional differential equations with mixed perturbations of the second type. AIMS Mathematics, 2020, 5(1): 557-567. doi: 10.3934/math.2020037
  • The Paris Agreement goals require a rapid and deep reduction in global greenhouse gas emissions. Recent studies have shown the large potential of circular economy to reduce global emissions by improving resource and material efficiency practices. However, most large-scale energy system and Integrated Assessment Models used for mitigation analysis typically ignore or do not adequately represent circular economy measures. This study aims to fill in this research gap by enhancing a leading global energy system model with a representation of energy efficiency and circular economy considerations. The scenario-based analysis offers an improved understanding of the potentials, costs and impacts of circular economy in the decarbonisation context. The study shows that enhanced energy efficiency and increased material circularity can reduce energy consumption in all sectors, but most importantly in the industrial sector. They can also reduce the required carbon price to achieve Paris goals and the dependence on expensive, immature, and risky technologies, like Carbon Capture and Storage. Circular economy measures should be properly integrated with broad climate policies to provide a holistic and self-consistent framework to deeply reduce carbon emissions.



    In graph theory, graph labeling is an assignment of labels or weights to the vertices and edges of a graph. Graph labeling plays an important role in many fields such as computer science, coding theory and physics [32]. Baca et al. [10] have introduced the definition of an edge irregular total -labeling of any graph as a labeling L:VE{1,2,3,,} in which every two distinct edges fh and fh of a graph G have distinct weights, this means that wL(fh)wL(fh) where wL(fh)=L(f)+L(h)+L(fh). They have deduced inequality which gives a lower bound of tes(G) for a graph G,

    tes(G)max{|E(G)|+23,Δ+12} (1)

    Also, they have introduced the exact value of TEIS, tes(G) for some families of graphs like fan graph Fn and wheel graph Wn,

    tes(Fn)=3n+23
    tes(Wn)=2n+23.

    In [15] authors have proved that for any tree T

    tes(T)=max{k+13,Δ+12},

    where Δ is maximum degree on k vertices. In addition, Salama [26] investigated the exact value of TEIS for a polar grid graph,

    tes(Pm,n)=2mn+23.

    Authors in [1] determined TEIS for zigzag graphs. Also, the exact value of TEIS of the generalized web graph Wn,m and some families has been determined, see [14]. Tilukay et al. [31] have investigated total irregularity strength for a wheel graph, a fan graph, a triangular Book graph and a friendship graph. On the other hand, in [2,3,8,17,20,24,29] the total edge irregularity strengths for hexagonal grid graphs, centralized uniform theta graphs, generalized helm graph, series parallel graphs, disjoint union of isomorphic copies of generalized Petersen graph, disjoint union of wheel graphs, subdivision of star Sn and categorical product of two cycles have been investigated. For more details, see [4,5,6,7,9,11,12,13,16,18,19,21,23,25,27,28,30].

    A generalized theta graph θ(t1,t2,,tn) is a pair of n internal disjoint paths with lengths at least two joined by end vertices where the end vertices are named south pole S and north pole N and ti is the number of vertices in the nth path. Uniform theta graph θ(t,m) is a generalized theta graph in which all paths have the same numbers of internal vertices, for more details see [22].

    In this paper, we have defined a new type of family of graph called uniform theta snake graph, θn(t,m). Also, the exact value of TEIS for some special types of the new family has been determined.

    In the following, we define a new type of graph which is called uniform theta snake graph.

    Definition 1. If we replace each edge of a path Pn by a uniform theta graph θ(t,m), we have a uniform theta snake graph θn(t,m). See Figure 1.

    Figure 1.  Uniform theta snake graph θ(t, m).

    It is clear that for a uniform theta snake graph |E(θn(t,m))|=t(m+1)n and |V(θn(t,m))|=(tm+1)n+1. In this section, we determine the exact value of TEIS for uniform theta snake graph θn(3,3), θn(3,m), θn(t,3), θn(4,m), and θn(t,4).

    Theorem 1. For a uniform theta snake graph θn(3,3) with 10n+1 vertices and 12n edges, we have

    tes(θn(3,3))=4n+1.

    Proof. Since a uniform theta snake graph θn(3,3) has 12n edges and (θn(3,3))=6, then from (1) we have:

    tes(θn(3,3))4n+1.

    To prove the invers inequality, we show that ħ labeling is an edge irregular total for θn(3,3), see Figure 2, and ħ=4n+1. Let ħ=4n+1 and a total ħ labeling α:V(θn(3,3))E(θn(3,3)){1,2,3,,ħ} is defined as:

    Figure 2.  Uniform theta snake graph θ(3, 3).
    α(c0)=1,
    α(cs)=4sfor1sn1
    α(cn)=ħ,
    α(xi,j)={jfor1j3j+1for4j6....j+n1for3n2j3n1,i=1,2,3
    α(xi,3n)=ħ1fori=1,2,3
    α(c0xi,1)=ifori=i1,2,3
    α(cSxi,3S)=4S+ifor1Sn1,i=1,2,3
    α(cSxi,3S+1)=4S+i+1for1Sn1,i=1,2,3
    α(cnxi,3n)={ħ2fori=1ħ1fori=2ħfori=3
    α(xi,jxi,j+1i)={j+i+1for1j2j+i+2for4j5....j+i+nI1for3n5j3n4ħ+i3for3n2j3n1,i=1,2,3.

    It is clear that ħ is the greatest used label. The weights of edges of θn(3,3) are given by:

    wα(c0xi,1)=i+2fori=1,2,3
    wα(cSxi,3S)=12S+i1for1Sn1,i=1,2,3
    wα(cSxi,3S+1)=12S+i+2for1Sn1,i=1,2,3,
    wα(cnxi,3n)={3(ħ1)fori=13ħ2fori=23ħ1fori=3
    wα(xi,jxi,j+1)={3j+i+2for1j23j+i+5for4j5....3j+i+3n4for3n5j3n43ħ+i10forj=3n23ħ+i7forj=3n1,i=1,2,3

    Obviously, the weights of edges are distinct. So α is an edge irregular total ħ labeling. Hence

    tes(θn(3,3))=4n+1.

    Theorem 2. For θn(3,m),m>3 be a uniform theta snake graph. Then

    tes(θn(3,m))=(m+1)n+1.

    Proof. Since |E(θn(3,m))|=3(m+1)n and Δ(θn(3,m))=6. Substituting in (1), we find

    tes(θn(3,m))(m+1)n+1.

    The existence of an edge irregular total ƛ labeling for θn(3,m), See Figure 3, m>3 will be shown, with ƛ=(m+1)n+1. Define a total ƛ labeling β:V(θn(3,m))E(θn(3,m)){1,2,3,,ƛ} for θn(3,m) as:

    Figure 3.  Uniform theta snake graph θ(3, m).
    β(c0)=1,
    β(cs)=(m+1)sfor1sn1
    β(cn)=ƛ
    β(xi,j)={jfor1jmj+1form+1j2m....j+n1form(n1)+1jmn1
    β(xi,mn)=ƛ1fori=1,2,3
    β(c0xi,1)=1fori=1,2,3
    β(cSxi,mS)=(m+1)S+ifor1Sn1,i=1,2,3
    β(cSxi,mS+1)=(m+1)S+i+1for1Sn1,i=1,2,3
    β(cnxi,mn)={ƛ2fori=1ƛ1fori=2ƛfori=3
    β(xi,jxi,j+1)={j+i+1for1jm1j+i+2form+1j2m1....j+i+nform(n1)+1jmn2j+i+n1forj=mn1.

    Clearly, ƛ is the most label of edges and vertices. The edges weights are given as follows:

    wβ(c0xi,1)=i+2fori=1,2,3
    wβ(cSxi,mS)=3(m+1)S+i1for1Sn1,i=1,2,3
    wβ(cSxi,mS+1)=3(m+1)S+i+2for1Sn1,i=1,2,3
    wβ(cnxi,mn)={3ƛ3fori=13ƛ2fori=23ƛ1fori=3
    wβ(xi,jxi,j+1)={3j+i+2for1jm13j+i+5form+1j2m1....3jI+i+3n1form(n1)+1jmn23ƛ+i7forj=mn1,

    It is obvious that the weights of edges are different, thus β is an edge irregular total ƛ labeling of θn(3,m). Hence

    tes(θn(3,m))=(m+1)n+1.

    Theorem 3. Let θn(t,3) be a theta snake graph for t>3. Then

    tes(θn(t,3))=4tn+23.

    Proof. A size of the graph θn(t,3) equals 4tn and Δ(θn(t,3))=2t, then from (1) we have

    tes(θn(t,3))4tn+23.

    We define an edge irregular total ħ labeling for θn(t,3) to get upper bound. So, let ħ=4tn+23 and a total ħ labeling γ:V(θn(t,3))E(θn(t,3)){1,2,3,,ħ} is defined in the following three cases:

    Case 1. 4tn+20(mod3)

    γ is defined as:

    γ(c0)=1,
    γ(cS)=(t+1)Sfor1Sn1
    γ(cn)=ħ
    γ(xi,j)I={ifor1j3,i=1,2,,ti+t+1for4j6,i=1,2,,ti+2(t+1)for7j9,i=1,2,,t......i+(n1)(t+1)for3n5j3n3,i=1,2,,tħ1for3n2j3n,i=1ħfor3n2j3n,i=2,3,,t
    γ(c0xi,1)=1fori=1,2,,t
    γ(cSxi,3S)=2St2S+3for1Sn1,i=1,2,,t
    γ(cnxi,3n)={ħt+2fori=1ħt+ifori=2,3,,t
    γ(cSxi,3S+1)=2St2S+2for1Sn1,i=1,2,,t
    γ(cn1xi,3n2)={{(t+2)nt5fori=1(t+2)nt+i7fori=2,3,,t,n=2,3{(t+1)nt1fori=1(t+1)nt+i3fori=2,3,,t,n2,3
    γ(xi,jxi,j+1)={{t+jfor1j23t+j5for4j55t+j10for7j8......(2n3)t+j5(n2)for3n5j3n4,i=1,2,,tħ3(t+n)+j+5for3n2j3n1,i=1ħ3(t+n)+j+5+2(i2)for3n2j3n1,i=2,3,,t

    Obviously, ħ is the greatest label. The edges weights of θn(t,3) can be expressed as:

    wγ(c0xi,1)=i+2fori=1,2,,t
    wγ(cSxi,3S)=t(4S1)+i+2for1Sn1,i=1,2,,t
    wγ(cSxi,3S+1)=4St+i+2for1Sn1,i=1,2,,t
    wγ(cn1xi,3n2)={2nt+3n2t+ħ+i8forn=2,32nt+2n2t+ħ+i4forn2,3,i=1,2,,t
    wγ(xi,jxi,j+1)={{t+j+2ifor1j25t+j+2i4for4j59t+j+2i6for7j8......(4n5)t+j+2i3n+8for3ni5j3n4,i=1,2,,t3ħ3(t+in)+j+3for3n2j3n1,i=13ħ3(t+in)+j+2i+3for3n2j3n1,i=2,3,,t

    It implies that the edges weights have distinct values. So γ is the desired edge irregular total ħ labeling, ħ=4tn+23. Hence

    tes(θn(t,3))=4tn+23.

    Case 2. 4tn+21(mod3)

    Defineγ as:

    γ(c0)=1,
    γ(cS)=(t+1)Sfor1Sn1
    γ(cn)=ħ
    γ(xi,j)={ifor1j3,i=1,2,,ti+t+1for4j6,i=1,2,,ti+2(t+1)for7j9,i=1,2,,t......i+(n+1)(t+1)for3n5j3n3,i=1,2,,tħ1for3n2j3n,i=1ħfor3n2j3n,i=2,3,,t
    γ(c0xi,1)=1fori=1,2,,t
    γ(cSxi,3S)=2St2S+3for1Sn1,i=1,2,,t
    γ(cnxi,3n)={ħtfori=1ħt+i2fori=2,3,,t
    γ(cSxi,3S+1)=2St2S+2for1ISn1,i=1,2,t
    γ(cn1xi3n2)={{(t+2)nt5fori=1(t+2)nt+i7fori=2,3,,t,n=2,3{(t+1)nt1fori=1(It+I1)nt+i3fori=2,3,,t,n2,3
    γ(xi,jxi,j+1)={{t+jfor1j23t+j5for4j55t+j10for7j8......(2n3)t+j5(n2)for3n5j3n4,i=1,2,,tħ3(t+n)+j+3for3n2j3n1,i=1ħ3(t+n)+j+2(i2)for3n2j3n1,i=2,3,,t

    It is clear that the greatest label is ħ. We define the weights of edges of θn(t,3) as:

    wγ(c0xi,1)=i+2fori=1,2,,t
    wγ(cSxi,3S)=t(4S1)+i+2for1Sn1,i=1,2,,twγ(cnxi,3n)=3ħt+i2for1Sn1,i=1,2,,t
    wγ(cSxi,3S+1)=4St+i+2for1Sn1,i=1,2,,t
    wγ(cn1xi,3n2)={2nt+3n2t+ħ+i8forn=2,32nt+2n2t+ħ+i4forn2,3,i=1,2,,t
    wγ(xi,jxi,j+1)={{t+j+2ifor1j25t+j+2i4for4j59t+j+2i6for7j8......(4n5)t+j+2i3n+8for3n5j3n4,i=1,2,,t3ħ3(t+n)+j+1for3n2j3n1,i=13ħ3(t+n)+j+2(i2)for3n2j3n1,i=2,3,,t

    It is obvious that the edges weights are different. Then

    tes(θn(t,3))=4tn+23.

    Case 3. 4tn+22(mod3)

    γ is defined as follows:

    γ(c0)=1,
    γ(cS)=(t+1)Sfor1Sn1
    γ(cn)=ħ
    γ(xi,j)={ifor1j3,i=1,2,,ti+t+1for4j6,i=1,2,,ti+2(t+1)for7j9,i=1,2,,t......i+(n1)(t+1)for3n5j3n3,i=1,2,,tħ1for3n2j3n,i=1ħfor3n2j3n,i=2,3,,t,
    γ(c0xi,1)=1fori=1,2,,t
    γ(cSxi,3S)=2St2S+3for1Sn1,i=1,2,,t
    γ(cnxi,3n)={ħt+1fori=1ħt+i1fori=2,3,,t
    γ(cSxi,3S+1)=2St2S+2for1Sn2,i=1,2,,t
    γ(cn1xi,3n2)={{(t+2)nt5fori=1(t+2)nt+i7fori=2,3,,t,n=2,3{(t+1)nt1fori=1(t+1)nt+i3fori=2,3,,t,n2,3
    γ(xi,jxi,j+1)={{t+jfor1j23t+j5for4j55t+j10for7j8......(2n3)t+j5(n2)for3n5j3n4,i=1,2,tħ3(t+i)+j+4for3n2j3ni1,i=1ħ3(t+n)+j+2ifor3n2j3n1,i=2,3,,t

    We can see that ħ is the greatest label. For edges weights of θn(t,3), we have

    wγ(c0xi,1)=i+2fori=1,2,,t
    wγ(c0xi,3S)=t(4S1)+i+2for1Sn1,i=1,2,,twγ(cnxi,3n)=3ħt+i1for1Sn1,i=1,2,,t
    wγ(cSxi,3S+1)=4St+i+2for1Sn1,i=1,2,,t
    wγ(cnxi,3n2)={2nt3n2t+ħ+i8forn=2,32nt+2n2t+ħ+i4forn2,3,i=1,2,,t
    wγ(xi,jxi,j+1)={{t+j+2ifor1j25t+j+2i4for4j59t+j+2i6for7j8......(4n5)t+j+2i3n+8for3n5j3n4,i=1,2,,t3ħ3(t+n)+j+2for3n2j3n1,i=13ħ3(t+n)+j+2ifor3n2j3n1,i=2,3,,t

    It clears that the edges weights are i distinct. So γ is the desired edge irregular total ħ labeling, ħ=4tn+23. Hence

    tes(θn(t,3))=4tn+23.

    Theorem 4. For θn(4,m) be a theta snake graph for t>3. Then

    tes(θn(4,m))=4(m+1)n+23.

    Proof. Since |E(θn(4,m))|=4(m+1)n and Δ(θn(4,m))=8, then from (1) we have

    tes(θn(4,m))4(m+1)n+23.

    The existence of an edge irregular total ƛ labeling for θn(4,m), m>3 will be shown, with ƛ=4(m+1)n+23. Define a total ƛ labeling β:V(θn(4,m))E(θn(4,m)){1,2,3,,ƛ} for θn(4,m) in the following three cases as:

    Case 1. 4(m+1)n+20(mod3), i=1,2,3,4

    β is defined as:

    β(cs)={1fors=0(m+1)sfor1sn2ƛ+snforn2sn
    β(xi,j)={jfor1jmj+1form+1j2m....j+n21ƛj+22ƛform(n21)+1jmn2+1formn2+2jm(n1)form(n1)+1jmn1,
    β(c0xi,1)=1fori=1,2,3,4
    β(cSxi,mS)={2cS+i1for1Sn21cS+i4(m+1)forn2sn1ƛ4+ifors=n,i=1,2,3,4
    β(cSxi,mS+1)={2cS+i+1for1Sn2,i=1,2,3,4cS+i4(m+1)+2forn2+1sn1
    β(cnxi,mn)={ƛ3fori=1ƛ2fori=2ƛ1ƛfori=3fori=4
    β(xi,jxi,j+1)={j+i+1for1jm1j+i+2form+1j2m1....j+i+n2forj=m(n21)+12j+i2[nm(n21)+1]form(n21)+2jmn1.

    It is clear that ƛ is the greatest used label. The weights of edges of θn(4,m) are given by:

    wβ(c0xi,1)=i+2fori=1,2,3,4
    wβ(cSxi,mS)={2ms+s+2cS+i1for1Sn21,cS+i+ƛ+(s4)(m+1)n+n21forn2sn13ƛ4+i+snfors=n,i=1,2,3,4
    wβ(cSxi,mS+1)={(2m+1)s+2cS+i+1for1Sn2,2ƛ+sn+cS+i4(m+1)+2forn2sn1i=1,2,3,4,
    wβ(cnxi,mn)={3ƛ+sn3fori=13ƛ+sn2fori=23ƛ+sn13ƛ+snfori=3fori=4
    wβ(xi,jxi,j+1)={3j+i+2for1jm13j+i+4form+1j2m1....3j+i+3n21forj=m(n21)+14j+2ƛ+45+i2[nm(n21)+1]2j+2ƛ+i2[nm(n21)+1]formn2+2jm(n1)form(n1)+1jmn1,

    It is obvious that the weights of edges are different, thus β is an edge irregular total ƛ labeling of θn(4,m). Hence

    tes(θn(4,m))=4(m+1)n+23.

    Case 2. 4(m+1)n+21(mod3), i=1,2,3,4

    β is defined as:

    β(cs)={1fors=0(m+1)sfor1sn2ƛ+snforn2sn
    β(xi,j)={jfor1jmj+1form+1j2m....j+n21ƛj+22ƛform(n21)+1jmn2formn2+1jm(n1)form(n1)+1jmn1,
    β(c0xi,1)=1fori=1,2,3,4
    β(cSxi,mS)={2cS+i1for1Sn21,ƛ7+ifors=n2cS+i4m2forn2+1sn1ƛ6+ifors=n,i=1,2,3,4
    β(cSxi,mS+1)={2cS+i+1for1Sn2cS+i4mforn2sn1,i=1,2,3,4
    β(cnxi,mn)={ƛ5fori=1ƛ4fori=2ƛ3ƛ2fori=3fori=4
    β(xi,jxi,j+1)={j+i+1for1jm1j+i+2form+1j2m1....j+i+n2forj=m(n21)+12j+i2[nm(n21)+1]form(n21)+2jmn1.

    It is clear that ƛ is the greatest used label. The weights of edges of θn(4,m) are given by:

    wβ(c0xi,1)=i+2fori=1,2,3,4
    wβ(cSxi,mS)={2ms+s+2cS+i1for1Sn21,2ƛmn2+(m+1)s+i+15fors=n2cS+i+ƛ+(s4)(m+1)n+n21forn2sn13ƛ4+i+snfors=n
    wβ(cSxi,mS+1)={(2m+1)s+2cS+i+1for1Sn2,i=1,2,3,42ƛ+sn+cS+i4mforn2sn1i=1,2,3,4,
    wβ(cnxi,mn)={3ƛ+sn5fori=13ƛ+sn4fori=23ƛ+sn33ƛ+sn2fori=3fori=4
    wβ(xi,jxi,j+1)={3j+i+2for1jm13j+i+4form+1j2m1....3j+i+3n21forj=m(n21)+14j+2ƛ+45+i2[nm(n21)+1]2j+2ƛ+i2[nm(n21)+1]formn2+2jm(n1)form(n1)+1jmn1,

    It is obvious that the weights of edges are different, thus β is an edge irregular total ƛ labeling of θn(4,m). Hence

    tes(θn(4,m))=4(m+1)n+23.

    Case 3. 4(m+1)n+22(mod3), i=1,2,3,4

    β is defined as:

    β(cs)={1fors=0(m+1)sfor1sn2ƛ+snforn2sn
    β(xi,j)={jfor1jmj+1form+1j2m....j+n21ƛj+22ƛform(n22)+1jm(n21)form(n21)+1jm(n1)form(n1)+1jmn1,
    β(c0xi,1)=1fori=1,2,3,4
    β(cSxi,mS)={2cS+i1for1Sn21,i=1,2,3,4ƛ7+ifors=n2cS+i4m2forn2+1sn1ƛ5+ifors=n
    β(cSxi,mS+1)={2cS+i+1for1Sn21,i=1,2,3,4cS+1+ifors=n2cS+i4m+1forn2+1sn1
    β(cnxi,mn)={ƛ4fori=1ƛ3fori=2ƛ2ƛ1fori=3fori=4
    β(xi,jxi,j+1)={j+i+1for1jm1j+i+2form+1j2m1....j+i+n2forj=m(n21)+12j+i2[nm(n21)+1]+1form(n21)+2jmn1.

    It is clear that ƛ is the greatest used label. The weights of edges of θn(4,m) are given by:

    wβ(c0xi,1)=i+2fori=1,2,3,4
    wβ(cSxi,mS)={2ms+s+2cS+i1for1Sn21,2ƛmn2+(m+1)s+i+15fors=n2cS+i+ƛ+(s4)(m+1)n+n21forn2sn13ƛ3+i+snfors=n
    wβ(cSxi,mS+1)={(2m+1)s+2cS+i+1for1Sn2,i=1,2,3,42ƛ+sn+cS+i4m+1forn2sn1,
    wβ(cnxi,mn)={3ƛ+sn3fori=13ƛ+sn2fori=23ƛ+sn13ƛ+snfori=3fori=4
    wβ(xi,jxi,j+1)={3j+i+2for1jm13j+i+4form+1j2m1....3j+i+3n21forj=m(n21)+14j+2ƛ+45+i2[nm(n21)+1]2j+2ƛ+i2[nm(n21)+1]formn2+2jm(n1)form(n1)+1jmn1,

    It is obvious that the weights of edges are different, thus β is an edge irregular total ƛ labeling of θn(4,m). Hence

    tes(θn(4,m))=4(m+1)n+23

    Theorem 5. If θn(t,4) is theta snake graph for t>3. Then

    tes(θn(t,4))=5tn+23.

    Proof. Since |E(θn(t,4))|=5tn and Δ(θn(t,4))=2t. Substituting in (1), we have

    tes(θn(t,4))5tn+23.

    We define an edge irregular total ħ labeling for θn(t,4) to get upper bound. Let ħ=5tn+23 and a total ħ labeling γ:V(θn(t,4))E(θn(t,4)){1,2,3,,ħ} is defined in the following three cases:

    Case 1. 5tn+20(mod3)

    Defineγ as:

    γ(c0)=1,
    γ(cS)=(t+1)Sfor1Sn1
    γ(cn)=ħ
    γ(xi,j)={ifor1j4,i=1,2,,ti+t+1for5j8,i=1,2,,ti+2(t+1)for9j12,i=1,2,,t......i+(n1)(t+1)for4n7j4n4,i=1,2,,tħ1for4n3j4n,i=1ħfor4n3j4n,i=2,3,,t
    γ(c0xi,1)=1fori=1,2,,t
    γ(cSxi,4S)=3St2S+3for1Sn1,i=1,2,,t
    γ(cnxi,4n)={ħt+2fori=1ħt+ifori=2,3,,t
    γ(cSxi,4S+1)=3St2S+2for1Sn1,i=1,2,,t
    γ(cn1xi,4n3)={{(t+2)nt5fori=1(t+2)nt+i7fori=2,3,,t,n=2,3(t+1)nt+i3fori=2,3,,t,n2,3
    γ(xi,jxi,j+1)={{t+jfor1j23t+j5for4j55t+j10for7j8......(2n3)t+j5(n2)for4n5j4n4,i=1,2,,tħ3(t+n)+j+5for4n2j4n,i=1ħ3(t+n)+j+5+2(i2)for4n2j4n,i=2,3,,t

    It is clear that, ħ is the greatest label. The edges weights of θn(t,4) can be expressed as:

    wγ(c0xi,1)=i+2fori=1,2,,t
    wγ(cSxi,4S)=t(5S1)+i+2for1Sn1,i=1,2,,twγ(cnxi,4n)=3ħt+ifori=1,2,,t
    wγ(cSxi,4S+1)=5St+i+2for1Sn1,i=1,2,,t
    wγ(cn1xi,4n2)={2nt+3n2t+ħ+i8forn=2,32nt+2n2t+ħ+i6forn2,3,i=1,2,,t
    wγ(xi,jxi,j+1)={{t+j+2ifor1j25t+j+2i4for4j59t+j+2i6for7j8......(4n5)t+j+2i3n+8for4n5j4n4,i=1,2,,t3ħ3(t+n)+j+3for4n2j4n1,i=13ħ3(t+n)+j+2i+3for4n2j4n1,i=2,3,,t

    It implies that the edges weights have distinct values. So γ is the desired edge irregular total ħ labeling, ħ=5tn+23. Hence

    tes(θn(t,4))=5tn+23.

    Case 2. 5tn+21(mod3)

    Defineγ as:

    γ(c0)=1,
    γ(cS)=(t+1)Sfor1Sn1
    γ(cn)=ħ
    γ(xi,j)={ifor1j4,i=1,2,,ti+t+1for5j8,i=1,2,,ti+2(t+1)for9j12,i=1,2,,t......i+(n+1)(t+1)for4n7j4n4,i=1,2,,tħ1for4n3j4n,i=1ħfor4n3j4n,i=2,3,,t
    γ(c0xi,1)=1fori=1,2,,t
    γ(cSxi,4S)=3St2S+3for1Sn1,i=1,2,,t
    γ(cnxi,4n)={ħtfori=1ħt+i2fori=2,3,,t
    γ(cSxi,4S+1)=3St2S+2
    for1Sn1,i=1,2,t
    γ(cn1xi,4n3)={{(t+2)nt5fori=1(t+2)nt+i7fori=2,3,,t,n=2,3{(t+1)nt1fori=1(t+1)nt+i3fori=2,3,,t,n2,3
    γ(xi,jxi,j+1)={{t+jfor1j33t+j5for5j75t+j10for9j11......(2n3)t+j5(n2)for4n7j4n5,i=1,2,,tħ4(t+n)+j+3for4n3j4n1,i=1ħ4(t+n)+j+2(i2)for4n3j4n1,i=2,3,,t

    It is clear that the i greatest label is ħ. We define the weights of edges of θn(t,4) as:

    wγ(c0xi,1)=i+2fori=1,2,,t
    wγ(cSxi,4S)=t(5S1)+i+2for1Sn1,i=1,2,,twγ(cnxi,4n)=3ħt+i2for1Sn1,i=1,2,,t
    wγ(cSxi,4S+1)=5St+i+2for1Sn1,i=1,2,,t
    wγ(cn1xi,4n3)={3nt+3n2t+ħ+i8forn=2,33nt+2n2t+ħ+i6forn2,3,i=1,2,,t
    wγ(xi,jxi,j+1)={{t+j+2ifor1j35t+j+2i4fori5j79t+j+2i6for9j11......(4n5)t+j+2i3n+8for4n7j4n5,i=1,2,,t3ħ4(t+n)+j+1for4n3j4n1,i=13ħ4(t+n)+j+2(i2)for4n3j4n1,i=2,3,,t

    It is obvious that the edges weights are different. Then

    tes(θn(t,4))=5tn+23.

    Case 3. 5tn+22(mod3)

    Defineγ as:

    γ(c0)=1,
    γ(cS)=(t+1)Sfor1Sn1
    γ(cn)=ħ
    γ(xi,j)={ifor1j4,i=1,2,,ti+t+1for5j8,i=1,2,,ti+2(t+1)for9j12,i=1,2,,t......i+(in1)(t+1)for4n7j4n4,i=1,2,,tħ1for4n3j4n,i=1ħfor4n3j4n,i=2,3,,t,
    γ(c0xi,1)=1fori=1,2,,t
    γ(cSxi,4S)=3St2S+3for1Sn1,i=1,2,,t
    γ(cnxi,4n)={ħt+1fori=1ħt+i1fori=2,3,,t
    γ(cSxi,4S+1)=3St2S+2for1Sn2,i=1,2,,t
    γ(cn1xi,4n3)={{(t+2)nt5fori=1(t+2)nt+i7fori=2,3,,t,n=2,3{(t+1)nt1fori=1(t+1)nt+i3fori=2,3,,t,n2,3
    γ(xi,jxi,j+1)={{t+jfor1j33t+j5for5j75t+j10for9j11......(2n3)t+j5(n2)for4n7j4n5,i=1,2,tħ4(t+n)+j+4for4n3j4n1,i=1ħ4(t+n)+j+2ifor4n3j4n1,i=2,3,,t

    We can see that ħ is the greatest label. For edges weights of θn(t,4), we have:

    wγ(c0xi,1)=i+2fori=1,2,,t
    wγ(c0xi,4S)=t(5S1)+i+2for1Sn1,i=1,2,,twγ(cnxi,4n)=3ħt+i1for1Sin1,i=1,2,,t
    wγ(cSxi,4S+1)=5St+i+2for1Sn1,i=1,2,,t
    wγ(cnxi,4n3)={2nt3n2t+ħ+i8forn=2,32nt+2n2t+ħ+i6forn2,3,i=1,2,,t
    wγ(xi,jxi,j+1)={{t+j+2ifor1j35t+j+2i4for5j79t+j+2i6for9j11......(4n5)t+j+2i3n+8for4n7j4n5,i=1,2,,t3ħ4(t+n)+j+2for4n3j3n1,i=13ħ4(t+n)+j+2ifor4n3j4n1,i=2,3,,t

    It is obvious that the edges weights are distinct. So γ is the desired edge irregular total ħ labeling, ħ=5tn+23. Hence

    tes(θn(t,4))=5tn+23.

    The previous results lead us to introduce the following conjecture for a general case of a uniform theta snake graph θn(t,m).

    The previous results lead us to introduce the following conjecture for a general case of a uniform theta snake graph θn(t,m).

    Conjecture. For uniform theta snake graph θn(t,m), n2,t3,andm3 we have

    tes(θn(t,m))=(m+1)tn+23.

    In the current paper, we have defined a new type of a family of graph called uniform theta snake graph, θn(t,m). Also, the exact i value of TEISs for θn(3,3), θn(3,m) and θn(t,3) has been determined. Finally, we have generalized for t, m and found TEIS of a uniform theta snake graph θn(t,m) for m3, t3.

    tes(θn(3,3))=4n+1.
    tes(θn(3,im))=(im+1)in+1.
    tes(θn(t,3))=4tn+23
    tes(θn(t,m))=(m+1)tn+23.

    All authors declare no conflict of interest in this paper.

    We are so grateful to the reviewer for his many valuable suggestions and comments that significantly improved the paper.



    [1] IRP, Global Resources Outlook (2019): Natural Resources for the Future We Want. A Report of the International Resource Panel. 2019, United Nations Environment Programme.: Nairobi, Kenya. Available from: https://www.resourcepanel.org/reports/global-resources-outlook.
    [2] Van der Voet E, Van Oers L, Verboon M, et al. (2018) Environmental implications of future demand scenarios for metals: Methodology and application to the case of seven major metals. J Ind Ecol 23: 141-155. https://doi.org/10.1111/jiec.12722 doi: 10.1111/jiec.12722
    [3] Hertwich EG (2021) Increased carbon footprint of materials production driven by rise in investments. Nat Geosci 14: 151-155. https://doi.org/10.1038/s41561-021-00690-8 doi: 10.1038/s41561-021-00690-8
    [4] Rogelj J, Luderer G, Pietzcker RC, et al. (2015) Energy system transformations for limiting end-of-century warming to below 1.5 ℃. Nat Clim Change 5: 519-527. https://doi.org/10.1038/nclimate2572 doi: 10.1038/nclimate2572
    [5] Kirchherr J, Reike D, Hekkert M (2017) Conceptualizing the circular economy: An analysis of 114 definitions. Resour, Conserv Recycl 127: 221-232. https://doi.org/10.1016/j.resconrec.2017.09.005 doi: 10.1016/j.resconrec.2017.09.005
    [6] Bocken N, Miller K, Evans S (2016) Assessing the environmental impact of new Circular business models. Conference " New Business Models" —Exploring a changing view on organizing value creation—Toulouse, France. Available from: https://www.researchgate.net/publication/305264490_Assessing_the_environmental_impact_of_new_Circular_business_models.
    [7] European Commission, Circular Economy Action Plan (2019) Available from: https://ec.europa.eu/environment/strategy/circular-economy-action-plan_en.
    [8] European Commission (2018) In-Depth Analysis in Support of the Commission Communication COM (2018) 773, A Clean Planet for all: A European long-term strategic vision for a prosperous, modern, competitive and climate neutral economy. Available from: https://ec.europa.eu/clima/system/files/2018-11/com_2018_733_analysis_in_support_en.pdf.
    [9] Material Economics AB (2018) The Circular Economy. Available from: https://materialeconomics.com/publications/the-circular-economy-a-powerful-force-for-climate-mitigation-1.
    [10] Fragkos P, Fragkiadakis K, Paroussos L, et al. (2018) Coupling national and global models to explore policy impacts of NDCs. Energy Policy 118: 462-473. https://doi.org/10.1016/j.enpol.2018.04.002 doi: 10.1016/j.enpol.2018.04.002
    [11] Pauliuk S, Heeren N, Berrill P, et al. (2021) Global scenarios of resource and emission savings from material efficiency in residential buildings and cars. Nat Commun 12: 5097. https://doi.org/10.1038/s41467-021-25300-4 doi: 10.1038/s41467-021-25300-4
    [12] Edelenbosch OY, Kermeli K, Crijns-Graus W, et al. (2017) Comparing projections of industrial energy demand and greenhouse gas emissions in long-term energy models. Energy 122: 701-710. https://doi.org/10.1016/j.energy.2017.01.017 doi: 10.1016/j.energy.2017.01.017
    [13] Geissdoerfer M, Pieroni M, Pigosso D, et al. (2020) Circular Business Models: A Review. J Cleaner Prod 277: 123741. https://doi.org/10.1016/j.jclepro.2020.123741 doi: 10.1016/j.jclepro.2020.123741
    [14] European Commission, Study on the review of the list of critical raw materials: Non-critical raw materials factsheets (2020) Available from: https://op.europa.eu/en/publication-detail/-/publication/6f1e28a7-98fb-11e7-b92d-01aa75ed71a1/language-en.
    [15] Mayer A, Haas W, Wiedenhofer D, et al. (2019) Measuring progress towards a circular economy: A monitoring framework for Economy-wide material loop closing in the EU28. (2019) J Ind Ecol 23: 62-76. https://doi.org/10.1111/jiec.12809 doi: 10.1111/jiec.12809
    [16] UNEP (2017) Resource Efficiency: Potential and Economic Implications. Available from: http://www.resourcepanel.org/reports/resource-efficiency.
    [17] European Commission (2018) A European strategy for plastics in a circular economy. Available from: https://www.europarc.org/wp-content/uploads/2018/01/Eu-plastics-strategy-brochure.pdf.
    [18] Trinomics (2018) Cooperation fostering industrial symbiosis: market potential, good practice and policy actions. Available from: https://op.europa.eu/en/publication-detail/-/publication/174996c9-3947-11e8-b5fe-01aa75ed71a1/language-en.
    [19] Fragkos P (2020) Global energy system transformations to 1.5 ℃: The impact of revised intergovernmental panel on climate change carbon budgets. Energy Technol 8: 2000395. https://doi.org/10.1002/ente.202000395 doi: 10.1002/ente.202000395
    [20] Fragkos P, Kouvaritakis N (2018) Model-based analysis of intended nationally determined contributions and 2 ℃ pathways for major economies. Energy 160: 965-978. https://doi.org/10.1016/j.energy.2018.07.030 doi: 10.1016/j.energy.2018.07.030
    [21] Capros P, DeVita A, Tasios N, et al. (2016) EU Reference Scenario 2016—Energy, Transport and GHG Emissions Trends to 2050; European Commission Directorate General for Energy, Directorate General for Climate Action and Directorate General for Mobility and Transport: Brussels, Belgium, 2016. Available from: http://www.e3mlab.eu/e3mlab/reports/referencescenario2016report.pdf.
    [22] Fragkos P, Kouvaritakis N, Capros P (2015) Incorporating uncertainty into world energy modelling: The Prometheus model. Environ Model Assess 20: 549-569. https://doi.org/10.1007/s10666-015-9442-x doi: 10.1007/s10666-015-9442-x
    [23] Fragkos P, Kouvaritakis N (2018) Investments in power generation under uncertainty—a MIP specification and Large-Scale application for EU. Environ Model Assess 23: 511-527. https://doi.org/10.1007/s10666-017-9583-1 doi: 10.1007/s10666-017-9583-1
    [24] Grubler A, Wilson C, Bento N, et al. (2018) A low energy demand scenario for meeting the 1.5 C target and sustainable development goals without negative emission technologies. Nature Energy 3: 515-527. https://doi.org/10.1038/s41560-018-0172-6 doi: 10.1038/s41560-018-0172-6
    [25] Fotiou T, de Vita A, Capros P (2019) Economic-Engineering modelling of the buildings sector to study the transition towards deep decarbonisation in the EU. Energies 12: 2745. https://doi.org/10.3390/en12142745 doi: 10.3390/en12142745
    [26] Capros P, Zazias G, Evangelopoulou S, et al. (2019) Energy-system modelling of the EU strategy towards climate-neutrality. Energy Policy 134: 110960. https://doi.org/10.1016/j.enpol.2019.110960 doi: 10.1016/j.enpol.2019.110960
    [27] Towards the Circular Economy vol. 1, 2013, Ellen McArthur Foundation. Available from: https://ellenmacarthurfoundation.org/towards-the-circular-economy-vol-1-an-economic-and-business-rationale-for-an.
    [28] IEA (2020) Iron and Steel. Paris. Available from: https://www.iea.org/reports/iron-and-steel.
    [29] ISRI (2019) 2019 Recycling Industry Year Book. Available from: https://www.isri.org/recycling-commodities-old/recycling-industry-yearbook.
    [30] WSP, Parsons Brinckerhoff, DNV GL (2015) Industrial Decarbonisation & Energy Efficiency Roadmaps to 2050—Cement. Available from: https://www.gov.uk/government/publications/industrial-decarbonisation-and-energy-efficiency-roadmaps-to-2050.
    [31] Accenture (2017) Taking the EU chemicals industry into the circular economy. Available from: https://www.accenture.com/us-en/_acnmedia/PDF-45/Accenture-CEFIC-Report-Exec-Summary.pdf.
    [32] JRC (2018) Prospective scenarios for the pulp and paper industry. Available from: https://publications.jrc.ec.europa.eu/repository/handle/JRC111652.
    [33] van Soest HL, Aleluia Reis L, Baptista LB, et al. (2021) Global roll-out of comprehensive policy measures may aid in bridging emissions gap. Nat Commun, 12. https://doi.org/10.1038/s41467-021-26595-z
    [34] Fragkos P (2021) Assessing the role of carbon capture and storage in mitigation pathways of developing economies. Energies 14: 1879. https://doi.org/10.3390/en14071879 doi: 10.3390/en14071879
    [35] McCollum DL, Zhou W, Bertram C, et al. (2018) Energy investment needs for fulfilling the Paris Agreement and achieving the Sustainable Development Goals. Nat Energy 3: 589-599. https://doi.org/10.1038/s41560-018-0179-z doi: 10.1038/s41560-018-0179-z
    [36] Rogelj J, Shindell D, Jiang K, et al. (2018) Mitigation pathways compatible with 1.5 ℃ in the context of sustainable development. In Global Warming of 1.5 ℃: an IPCC special report on the impacts of global warming of 1.5 above pre-industrial levels, Geneva, Switzerland: IPCC, In press. Available from: https://www.ipcc.ch/sr15/.
    [37] Fricko O, Havlik P, Rogelj J, et al. (2017) The marker quantification of the shared socioeconomic pathway 2: A middle-of-the-road scenario for the 21st century. Global Environ Change 42: 251-267. https://doi.org/10.1016/j.gloenvcha.2016.06.004 doi: 10.1016/j.gloenvcha.2016.06.004
    [38] OECD (2020) OECD Economic Outlook; OECD Publishing: Paris, France, 2020; Volume 2020. Available from: https://www.oecd-ilibrary.org/economics/oecd-economic-outlook/volume-2020/issue-1_0d1d1e2e-en#:~:text=GDP%20is%20projected%20to%20fall%20by%2014%25%20in%202020%20before,recover%20by%207.7%25%20in%202021.
    [39] The World Bank (2021). Global Economic Prospects (Issue June 2021). Available from: https://www.worldbank.org/en/publication/global-economic-prospects.
    [40] Rochedo PRR, Fragkos P, Garaffa R, et al. (2021) Is green recovery enough? Analysing the impacts of Post-COVID-19 economic packages. Energies 14: 5567. https://doi.org/10.3390/en14175567 doi: 10.3390/en14175567
    [41] Fragkos PK, Fragkiadakis B, Sovacool L, et al. (2021) Equity implications of climate policy: Assessing the social and distributional impacts of emission reduction targets in the European Union. Energy 237: 21591. https://doi.org/10.1016/j.energy.2021.121591 doi: 10.1016/j.energy.2021.121591
    [42] Vona F (2019) Job losses and political acceptability of climate policies: why the 'job-killing' argument is so persistent and how to overturn it. Climate Policy 19: 524-532. 10.1080/14693062.2018.1532871
    [43] Madeddu S, Ueckerdt F, Pehl M, et al. (2020) The CO2 reduction potential for the European industry via direct electrification of heat supply (power-to-heat). Environ Res Lett 15: 124004. https://doi.org/10.1088/1748-9326/abbd02 doi: 10.1088/1748-9326/abbd02
    [44] Levesque A, Pietzker R, Luderer G (2019) Halving energy demand from buildings: The impact of low consumption practices. Technol Forecast Soc Change 146: 253-266. https://doi.org/10.1016/j.techfore.2019.04.025 doi: 10.1016/j.techfore.2019.04.025
    [45] Rodrigues R, Pietzker R, Fragkos P, et al. (2021) Narrative-driven alternative roads to achieve mid-century CO2 net neutrality in Europe. Energy 239: 121908. https://doi.org/10.1016/j.energy.2021.121908 doi: 10.1016/j.energy.2021.121908
    [46] Brodny J, Tutak M (2022) Analysis of the efficiency and structure of energy consumption in the industrial sector in the European Union countries between 1995 and 2019. Sci Total Environ 808: 152052. https://doi.org/10.1016/j.scitotenv.2021.152052 doi: 10.1016/j.scitotenv.2021.152052
    [47] Falcone PM, Hiete M, Sapio A (2021) Hydrogen economy and sustainable development goals: Review and policy insights. Curr Opin Green Sustainable Chem 31: 100506. https://doi.org/10.1016/j.cogsc.2021.100506
    [48] Sharma HB, Vanapalli KR, Samal B, et al. (2021) Circular economy approach in solid waste management system to achieve UN-SDGs: Solutions for post-COVID recovery. Sci Total Environ 800, 149605. https://doi.org/10.1016/j.scitotenv.2021.149605
    [49] Rocca R, Rosa P, Sassanelli C, et al. (2020) Integrating virtual reality and digital twin in circular economy practices: A laboratory application case. Sustainability 12: 2286. https://doi.org/10.3390/su12062286 doi: 10.3390/su12062286
    [50] D'Adamo I, Falcone PM, Martin M, et al. (2020) A sustainable revolution: Let's go sustainable to get our globe cleaner. Sustainability 12: 4387. https://doi.org/10.3390/su12114387 doi: 10.3390/su12114387
    [51] Longa FD, Fragkos P, Nogueira LP, et al. (2022) System-level effects of increased energy efficiency in global low-carbon scenarios: A model comparison. Comput Ind Eng 167: 108029. https://doi.org/10.1016/j.cie.2022.108029 doi: 10.1016/j.cie.2022.108029
    [52] Bordage F (2019) The Environmental Footprint of the Digital World. GreenIT.fr, p. 39. Available from: https://www.greenit.fr/wp-content/uploads/2019/11/GREENIT_EENM_etude_EN_accessible.pdf.
  • Reader Comments
  • © 2022 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(4812) PDF downloads(265) Cited by(19)

Figures and Tables

Figures(11)  /  Tables(3)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog