In 2019, Malaysia faced a deterioration of air quality due to transboundary haze, which brought negative implications, especially for public health. In light of the above scenario, continuous particulate matter (PM10, PM2.5 and PM1) and meteorological parameters amid the haze period were taken to unravel the influence of haze on particulate matter variations and to investigate the association between particulate matter concentrations with meteorological parameters and fire hotspots in Kota Kinabalu, where it is rarely studied. Particulate matter and the meteorological parameters were monitored during the haze season, continuously from 21 August–30 September 2019, using AirMate, a ground-based air monitoring equipment. Air mass backward trajectories were simulated using the HYSPLIT Model, and fire hotspot data was obtained from the Greenpeace Global Fire Dashboard. The results showed increasing particulate matter concentrations during the haze period, with PM2.5 exceeding the New Ambient Air Quality Standards (2020) on multiple days. For meteorological parameters, all parameters showed a significant weak positive relationship with respective particulate matter. However, the correlation between particulate matter and fire hotspots in Indonesia showed a moderate positive relationship. The backward trajectories simulated indicated the influence of south-westerly winds in transporting the pollutants from fire hotspots in the Indonesia region. Thus, we provide beneficial information about the impacted area during the 2019 transboundary haze episode, where the interactions between the particulate matter variations and the parameters studied were unraveled.
Citation: Carolyn Payus, Siti Irbah Anuar, Fuei Pien Chee, Muhammad Izzuddin Rumaling, Agoes Soegianto. 2019 Southeast Asia Transboundary Haze and its Influence on Particulate Matter Variations: A Case Study in Kota Kinabalu, Sabah[J]. AIMS Environmental Science, 2023, 10(4): 547-558. doi: 10.3934/environsci.2023031
[1] | Hanpeng Gao, Yunlong Zhou, Yuanfeng Zhang . Sincere wide τ-tilting modules. Electronic Research Archive, 2025, 33(4): 2275-2284. doi: 10.3934/era.2025099 |
[2] | Rongmin Zhu, Tiwei Zhao . The construction of tilting cotorsion pairs for hereditary abelian categories. Electronic Research Archive, 2025, 33(5): 2719-2735. doi: 10.3934/era.2025120 |
[3] | Yajun Ma, Haiyu Liu, Yuxian Geng . A new method to construct model structures from left Frobenius pairs in extriangulated categories. Electronic Research Archive, 2022, 30(8): 2774-2787. doi: 10.3934/era.2022142 |
[4] | Haiyu Liu, Rongmin Zhu, Yuxian Geng . Gorenstein global dimensions relative to balanced pairs. Electronic Research Archive, 2020, 28(4): 1563-1571. doi: 10.3934/era.2020082 |
[5] | Dongxing Fu, Xiaowei Xu, Zhibing Zhao . Generalized tilting modules and Frobenius extensions. Electronic Research Archive, 2022, 30(9): 3337-3350. doi: 10.3934/era.2022169 |
[6] | Agustín Moreno Cañadas, Robinson-Julian Serna, Isaías David Marín Gaviria . Zavadskij modules over cluster-tilted algebras of type A. Electronic Research Archive, 2022, 30(9): 3435-3451. doi: 10.3934/era.2022175 |
[7] | Shengxiang Wang, Xiaohui Zhang, Shuangjian Guo . The Hom-Long dimodule category and nonlinear equations. Electronic Research Archive, 2022, 30(1): 362-381. doi: 10.3934/era.2022019 |
[8] | Jiangsheng Hu, Dongdong Zhang, Tiwei Zhao, Panyue Zhou . Balance of complete cohomology in extriangulated categories. Electronic Research Archive, 2021, 29(5): 3341-3359. doi: 10.3934/era.2021042 |
[9] | Xiu-Jian Wang, Jia-Bao Liu . Quasi-tilted property of generalized lower triangular matrix algebras. Electronic Research Archive, 2025, 33(5): 3065-3073. doi: 10.3934/era.2025134 |
[10] | János Kollár . Relative mmp without Q-factoriality. Electronic Research Archive, 2021, 29(5): 3193-3203. doi: 10.3934/era.2021033 |
In 2019, Malaysia faced a deterioration of air quality due to transboundary haze, which brought negative implications, especially for public health. In light of the above scenario, continuous particulate matter (PM10, PM2.5 and PM1) and meteorological parameters amid the haze period were taken to unravel the influence of haze on particulate matter variations and to investigate the association between particulate matter concentrations with meteorological parameters and fire hotspots in Kota Kinabalu, where it is rarely studied. Particulate matter and the meteorological parameters were monitored during the haze season, continuously from 21 August–30 September 2019, using AirMate, a ground-based air monitoring equipment. Air mass backward trajectories were simulated using the HYSPLIT Model, and fire hotspot data was obtained from the Greenpeace Global Fire Dashboard. The results showed increasing particulate matter concentrations during the haze period, with PM2.5 exceeding the New Ambient Air Quality Standards (2020) on multiple days. For meteorological parameters, all parameters showed a significant weak positive relationship with respective particulate matter. However, the correlation between particulate matter and fire hotspots in Indonesia showed a moderate positive relationship. The backward trajectories simulated indicated the influence of south-westerly winds in transporting the pollutants from fire hotspots in the Indonesia region. Thus, we provide beneficial information about the impacted area during the 2019 transboundary haze episode, where the interactions between the particulate matter variations and the parameters studied were unraveled.
In [1] (see [2] for type A), the authors introduced cluster categories which were associated to finite dimensional hereditary algebras. It is well known that cluster-tilting theory gives a way to construct abelian categories from some triangulated and exact categories.
Recently, Nakaoka and Palu introduced extriangulated categories in [3], which are a simultaneous generalization of exact categories and triangulated categories, see also [4,5,6]. Subcategories of an extriangulated category which are closed under extension are also extriangulated categories. However, there exist some other examples of extriangulated categories which are neither exact nor triangulated, see [6,7,8].
When T is a cluster tilting subcategory, the authors Yang, Zhou and Zhu [9, Definition 3.1] introduced the notions of T[1]-cluster tilting subcategories (also called ghost cluster tilting subcategories) and weak T[1]-cluster tilting subcategories in a triangulated category C, which are generalizations of cluster tilting subcategories. In these works, the authors investigated the relationship between C and modT via the restricted Yoneda functor G more closely. More precisely, they gave a bijection between the class of T[1]-cluster tilting subcategories of C and the class of support τ-tilting pairs of modT, see [9, Theorems 4.3 and 4.4].
Inspired by Yang, Zhou and Zhu [9] and Liu and Zhou [10], we introduce the notion of relative cluster tilting subcategories in an extriangulated category B. More importantly, we want to investigate the relationship between relative cluster tilting subcategories and some important subcategories of modΩ(T)_ (see Theorem 3.9 and Corollary 3.10), which generalizes and improves the work by Yang, Zhou and Zhu [9] and Liu and Zhou [10].
It is worth noting that the proof idea of our main results in this manuscript is similar to that in [9, Theorems 4.3 and 4.4], however, the generalization is nontrivial and we give a new proof technique.
Throughout the paper, let B denote an additive category. The subcategories considered are full additive subcategories which are closed under isomorphisms. Let [X](A,B) denote the subgroup of HomB(A,B) consisting of morphisms which factor through objects in a subcategory X. The quotient category B/[X] of B by a subcategory X is the category with the same objects as B and the space of morphisms from A to B is the quotient of group of morphisms from A to B in B by the subgroup consisting of morphisms factor through objects in X. We use Ab to denote the category of abelian groups.
In the following, we recall the definition and some properties of extriangulated categories from [4], [11] and [3].
Suppose there exists a biadditive functor E:Bop×B→Ab. Let A,C∈B be two objects, an element δ∈E(C,A) is called an E-extension. Zero element in E(C,A) is called the split E-extension.
Let s be a correspondence, which associates any E-extension δ∈E(C,A) to an equivalence class s(δ)=[Ax→By→C]. Moreover, if s satisfies the conditions in [3, Definition 2.9], we call it a realization of E.
Definition 2.1. [3, Definition 2.12] A triplet (B,E,s) is called an externally triangulated category, or for short, extriangulated category if
(ET1) E:Bop×B→Ab is a biadditive functor.
(ET2) s is an additive realization of E.
(ET3) For a pair of E-extensions δ∈E(C,A) and δ′∈E(C′,A′), realized as s(δ)=[Ax→By→C] and s(δ′)=[A′x′→B′y′→C′]. If there exists a commutative square,
![]() |
then there exists a morphism c:C→C′ which makes the above diagram commutative.
(ET3)op Dual of (ET3).
(ET4) Let δ and δ′ be two E-extensions realized by Af→Bf′→D and Bg→Cg′→F, respectively. Then there exist an object E∈B, and a commutative diagram
![]() |
and an E-extension δ′′ realized by Ah→Ch′→E, which satisfy the following compatibilities:
(i). Dd→Ee→F realizes E(F,f′)(δ′),
(ii). E(d,A)(δ′′)=δ,
(iii). E(E,f)(δ′′)=E(e,B)(δ′).
(ET4op) Dual of (ET4).
Let B be an extriangulated category, we recall some notations from [3,6].
● We call a sequence Xx→Yy→Z a conflation if it realizes some E-extension δ∈E(Z,X), where the morphism x is called an inflation, the morphism y is called an deflation and Xx→Yy→Zδ⇢ is called an E-triangle.
●When Xx→Yy→Zδ⇢ is an E-triangle, X is called the CoCone of the deflation y, and denote it by CoCone(y); C is called the Cone of the inflation x, and denote it by Cone(x).
Remark 2.2. 1) Both inflations and deflations are closed under composition.
2) We call a subcategory T extension-closed if for any E-triangle Xx→Yy→Zδ⇢ with X, Z∈T, then Y∈T.
Denote I by the subcategory of all injective objects of B and P by the subcategory of all projective objects.
In an extriangulated category having enough projectives and injectives, Liu and Nakaoka [4] defined the higher extension groups as
Ei+1(X,Y)=E(Ωi(X),Y)=E(X,Σi(Y)) for i≥0. |
By [3, Corollary 3.5], there exists a useful lemma.
Lemma 2.3. For a pair of E-triangles Ll→Mm→N⇢ and Dd→Ee→F⇢. If there is a commutative diagram
![]() |
f factors through l if and only if h factors through e.
In this section, B is always an extriangulated category and T is always a cluster tilting subcategory [6, Definition 2.10].
Let A, B∈B be two objects, denote by [¯T](A,ΣB) the subset of B(A,ΣB) such that f∈[¯T](A,ΣB) if we have f: A→T→ΣB where T∈T and the following commutative diagram
![]() |
where I is an injective object of B [10, Definition 3.2].
Let M and N be two subcategories of B. The notation [¯T](M,Σ(N))=[T](M,Σ(N)) will mean that [¯T](M,ΣN)=[T](M,ΣN) for every object M∈M and N∈N.
Now, we give the definition of T-cluster tilting subcategories.
Definition 3.1 Let X be a subcategory of B.
1) [11, Definition 2.14] X is called T-rigid if [¯T](X,ΣX)=[T](X,ΣX);
2) X is called T-cluster tilting if X is strongly functorially finite in B and X={M∈C∣[¯T](X,ΣM)=[T](X,ΣM) and [¯T](M,ΣX)=[T](M,ΣX)}.
Remark 3.2. 1) Rigid subcategories are always T-rigid by [6, Definition 2.10];
2) T-cluster tilting subcategories are always T-rigid;
3) T-cluster tilting subcategories always contain the class of projective objects P and injective objects I.
Remark 3.3. Since T is a cluster tilting subcategory, ∀X∈B, there exists a commutative diagram by [6, Remark 2.11] and Definition 2.1((ET4)op), where T1, T2∈T and h is a left T-approximation of X:
![]() |
Hence ∀X∈B, there always exists an E-triangle
Ω(T1)fX→Ω(T2)→X⇢ with Ti∈T. |
By Remark 3.2(3), P⊆T and B=CoCone(T,T) by [6, Remark 2.11(1),(2)]. Following from [4, Theorem 3.2], B_=B/T is an abelian category. ∀f∈B(A,C), denote by f_ the image of f under the natural quotient functor B→B_.
Let Ω(T)=CoCone(P,T), then Ω(T)_ is the subcategory consisting of projective objects of B_ by [4, Theorem 4.10]. Moreover, modΩ(T)_ denotes the category of coherent functors over the category of Ω(T)_ by [4, Fact 4.13].
Let G: B→modΩ(T)_, M↦HomB_(−,M)∣Ω(T)_ be the restricted Yoneda functor. Then G is homological, i.e., any E-triangle X→Y→Z⇢ in B yields an exact sequence G(X)→G(Y)→G(Z) in modΩ(T)_. Similar to [9, Theorem 2.8], we obtain a lemma:
Lemma 3.4. Denote proj(modΩ(T)_) the subcategory of projective objects in modΩ(T)_. Then
1) G induces an equivalence Ω(T)∼→proj(modΩ(T)_).
2) For N∈modΩ(T)_, there exists a natural isomorphism
HommodΩ(T)_(G(Ω(T)),N)≃N(Ω(T)). |
In the following, we investigate the relationship between B and modΩ(T)_ via G more closely.
Lemma 3.5. Let X be any subcategory of B. Then
1) any object X∈X, there is a projective presentation in mod Ω(T)_
PG(X)1πG(X)→PG(X)0→G(X)→0. |
2) X is a T-rigid subcategory if and only if the class {πG(X)∣X∈X} has property ((S) [9, Definition 2.7(1)]).
Proof. 1). By Remark 3.3, there exists an E-triangle:
Ω(T1)fX→Ω(T0)→X⇢ |
When we apply the functor G to it, there exists an exact sequence G(Ω(T1))→G(Ω(T0))→G(X)→0. By Lemma 3.4(1), G(Ω(Ti)) is projective in mod Ω(T)_. So the above exact sequence is the desired projective presentation.
2). For any X0∈X, using the similar proof to [9, Lemma 4.1], we get the following commutative diagram
![]() |
where α=HommodΩT_(πG(X),G(X0)). By Lemma 3.4(2), both the left and right vertical maps are isomorphisms. Hence the set {πG(X)∣X∈X} has property ((S) iff α is epic iff HomB_(fX,X0) is epic iff X is a T-rigid subcategory by [10, Lemma 3.6].
Lemma 3.6. Let X be a T-rigid subcategory and T1 a subcategory of T. Then X∨T1 is a T-rigid subcategory iff E(T1,X)=0.
Proof. For any M∈X∨T1, then M=X⊕T1 for X∈X and T1∈T1. Let h: X→T be a left T-approximation of X and y: T1→Σ(X′) for X′∈X any morphism. Then there exists the following commutative diagram
![]() |
with P1∈P, f=(h001) and β=(i000i1).
When X∨T1 is a T-rigid subcategory, we can get a morphism g: X⊕T1→Σ(X′)⊕Σ(T′1) such that βg=(10)y(0 1)f. i.e., ∃b: T1→I such that y=i0b. So E(T1,X′)=0 and then E(T1,X)=0.
Let γ=(r11r12r21r22): T⊕T1→Σ(X′)⊕Σ(T′1) be a morphism. As X is T-rigid, r11h: X→Σ(X′) factors through i0. Since E(T,X)=0, r12: T1→Σ(X′) factors through i0. As T is rigid, the morphism r21h: X→T→Σ(T′1) factors through i1, and the morphism r22: T1→Σ(T′1) factors through i1. So the morphism γf can factor through β=(i000i1). Therefore X∨T1 is an T-rigid subcategory.
For the definition of τ-rigid pair in an additive category, we refer the readers to see [9, Definition 2.7].
Lemma 3.7. Let U be a class of T-rigid subcategories and V a class of τ-rigid pairs of modΩ(T)_. Then there exists a bijection φ: U→V, given by : X↦(G(X),Ω(T)∩Ω(X)).
Proof. Let X be T-rigid. By Lemma 3.5, G(X) is a τ-rigid subcategory of mod Ω(T)_.
Let Y∈Ω(T)∩Ω(X), then there exists X0∈X such that Y=Ω(X0). Consider the E-triangle Ω(X0)→P→X0⇢ with P∈P. ∀X∈X, applying HomB(−,X) yields an exact sequence HomB(P,X)→HomB(Ω(X0),X)→E(X0,X)→0. Hence in B_=B/T, HomB_(Ω(X0),X)≅E(X0,X).
By Remark 3.3, for X0, there is an E-triangle Ω(T1)→Ω(T2)→X0⇢ with T1, T2∈T. Applying HomB_(−,X), we obtain an exact sequence HomB_(Ω(T2),X)→HomB_(Ω(T1),X)→E(X0,X)→E(Ω(T2),X). By [10, Lemma 3.6], HomB_(Ω(T2),X)→HomB_(Ω(T1),X) is epic. Moreover, Ω(T2)_ is projective in B_ by [4, Proposition 4.8]. So E(Ω(T2),X)=0. Thus E(X0,X)=0. Hence ∀X∈X,
G(X)(Y)=HomB_(Ω(X0),X)=0. |
So (G(X),Ω(T)∩Ω(X)) is a τ-rigid pairs of modΩ(T)_.
We will show φ is a surjective map.
Let (N,σ) be a τ-rigid pair of modΩ(T)_. ∀N∈N, consider the projective presentation
P1πN→P0→N→0 |
such that the class {πN|N∈N} has Property (S). By Lemma 3.4, there exists a unique morphism fN: Ω(T1)→Ω(T0) in Ω(T)_ satisfying G(fN)=πN and G(Cone(fN))≅N. Following from Lemma 3.5, X1:= {cone(fN)∣N∈N} is a T-rigid subcategory.
Let X=X1∨Y, where Y={T∈T∣Ω(T)∈σ}. For any T0∈Y, there is an E-triangle Ω(T0)→P→T0⇢ with P∈P. For any Cone(fN)∈X1, applying HomB_(−,Cone(fN)), yields an exact sequence HomB_(Ω(T0),Cone(fN))→E(T0,Cone(fN))→E(P,Cone(fN))=0. Since (N,σ) is a τ-rigid pair, HomB_(Ω(T0),Cone(fN))=G(Cone(fM))(Ω(T0))=0. So E(T0,Cone(fN))=0. Due to Lemma 3.6, X=X1∨Y is T-rigid. Since Y⊆T, we get G(Y)=HomB_(−,T)∣Ω(T)=0 by [4, Lemma 4.7]. So G(X)=G(X1)=N.
It is straightforward to check that Ω(T)∩Ω(X1)=0. Let X∈Ω(T)∩Ω(X), then X∈Ω(T) and X∈Ω(X)=Ω(X1)∨σ. So we can assume that X=Ω(X1)⊕E, where E∈σ. Then Ω(X1)⊕E∈Ω(T). Since E∈Ω(T), we get Ω(X1)∈Ω(T)∩Ω(X1)=0. So Ω(T)∩Ω(X)⊆σ. Clearly, σ⊆Ω(T). Moreover, σ⊆Ω(X). So σ⊆Ω(T)∩Ω(X). Hence Ω(T)∩Ω(X)=σ. Therefore φ is surjective.
Lastly, φ is injective by the similar proof method to [9, Proposition 4.2].
Therefore φ is bijective.
Lemma 3.8. Let T be a rigid subcategory and Aa→B→Cδ⇢ an E-triangle satisfying [¯T](C,Σ(A))=[T](C,Σ(A)). If there exist an E-extension γ∈E(T,A) and a morphism t: C→T with T∈T such that t∗γ=δ, then the E-triangle Aa→B→Cδ⇢ splits.
Proof. Applying HomB(T,−) to the E-triangle A→Ii→Σ(A)α⇢ with I∈I, yields an exact sequence HomB(T,A)→E(T,X)→E(T,I)=0. So there is a morphism d∈HomB(T,Σ(A)) such that γ=d∗α. So δ=t∗γ=t∗d∗α=(dt)∗α. So we have a diagram which is commutative:
![]() |
Since [¯T](C,Σ(A))=[T](C,Σ(A)) and dt∈[T](C,Σ(A)), dt can factor through i. So 1A can factor through a and the result follows.
Now, we will show our main theorem, which explains the relation between T-cluster tilting subcategories and support τ-tilting pairs of modΩ(T)_.
The subcategory X is called a preimage of Y by G if G(X)=Y.
Theorem 3.9. There is a correspondence between the class of T-cluster tilting subcategories of B and the class of support τ-tilting pairs of modΩ(T)_ such that the class of preimages of support τ-tilting subcategories is contravariantly finite in B.
Proof. Let φ be the bijective map, such that X↦(G(X),Ω(T∩Ω(X))), where G is the restricted Yoneda functor defined in the argument above Lemma 3.4.
1). The map φ is well-defined.
If Xis T-cluster tilting, then X is T-rigid. So φ(X) is a τ-rigid pair of modΩ(T)_ by Lemma 3.7. Therefore Ω(T)∩Ω(X)⊆KerG(X). Assume Ω(T0)∈Ω(T) is an object of KerG(X). Then HomB_(Ω(T0),X)=0. Applying HomB_(−,X) with X∈X to Ω(T0)→P→T0⇢ with P∈P, yields an exact sequence
HomB_(P,X)→HomB_(Ω(T),X)→E(T0,X)→0. |
Hence we get E(T0,X)≅HomB_(Ω(T0),X)=0.
Applying HomB(T0,−) to X→I→Σ(X)⇢, we obtain
(3.1) [¯T](T0,Σ(X))=[T](T0,Σ(X)). |
For any ba: Xa→Rb→Σ(T0) with R∈T, as T is rigid, we get a commutative diagram:
![]() |
Hence we get (3.2)[¯T](X,Σ(T0))=[T](X,Σ(T0)).
By the equalities (3.1) and (3.2) and X being a T-rigid subcategory, we obtain
[¯T](X,Σ(X⊕T0))=[T](X,Σ(X⊕T0)) and [¯T](X⊕T0,Σ(X))=[T](X⊕T0,Σ(X)). |
As X is T-cluster tilting, we get X⊕T0∈X. So T0∈X. And thus Ω(T0)∈Ω(T)∩Ω(X). Hence KerG(X)=Ω(T)∩Ω(X).
Since X is functorially finte, similar to [6, Lemma 4.1(2)], ∀Ω(T)∈Ω(T), we can find an E-triangle Ω(T)f→X1→X2⇢, where X1, X2∈X and f is a left X-approximation. Applying G, yields an exact sequence
G(Ω(R))G(f)→G(X1)→G(X2)→0. |
Thus we get a diagram which is commutative, where HomB_(f,X) is surjective.
![]() |
By Lemma 3.4, the morphism ∘G(f) is surjective. So G(f) is a left G(X)-approximation and (G(X),Ω(T)∩Ω(X)) is a support τ-tilting pair of modΩ(T)_ by [3, Definition 2.12].
2). φ is epic.
Assume (N,σ) is a support τ-tilting pair of modΩ(T)_. By Lemma 3.7, there is a T-rigid subcategory X satisfies G(X)=N. So ∀Ω(T)∈Ω((T)), there is an exact sequence G(Ω(T))α→G(X3)→G(X4)→0, such that X3, X4∈X and α is a left G(X)-approximation. By Yoneda's lemma, we have a unique morphism in modΩ((T))_:
β: Ω(T)→X3 such that α=G(β) and G(cone(β))≅G(X4). |
Moreover, ∀X∈X, consider the following commutative diagram
![]() |
By Lemma 3.4, G(−) is surjective. So the map HomB_(β,X) is surjective.
Denote Cone(β) by YR and X∨add{YR∣Ω(T)∈Ω(T)} by ˜X.
We claim ˜X is T-rigid.
(I). Assume a: YRa1→T0a2→Σ(X) with T0∈T and X∈X. Consider the following diagram:
![]() |
Since X is T-rigid, ∃f: X3→I such that aγ=if. So there is a morphism g:Ω(T)→X making the upper diagram commutative. Since HomB_(β,X) is surjective, g factors through β. Hence a factors through i, i.e., [¯T](YR,Σ(X))=[T](YR,Σ(X)).
(II). For any morphism b: Xb1→T0b2→Σ(YR) with T0∈T and X∈X. Consider the following diagram:
![]() |
By [3, Lemma 5.9], R→Σ(X3)→Σ(YT)⇢ is an E-triangle. Because T is rigid, b2 factors through γ1. By the fact that X is T-rigid, b=b2b1 can factor through iX. Since γ1iX=iY, we get that b factors through iY. So [¯T](X,Σ(YT))=[T](X,Σ(YT)).
By (I) and (II), we also obtain [¯T](YT,Σ(YT))=[T](YT,Σ(YT)).
Therefore ˜X=X∨add{YT∣Ω(T)∈Ω(T)} is T-rigid.
Let M∈B satisfying [¯T](M,Σ(˜X))=[T](M,Σ(˜X)) and [¯T](˜X,ΣM)=[T](˜X,ΣM). Consider the E-triangle:
Ω(T5)f→Ω(T6)g→M⇢ |
where T5, T6∈T. By the above discussion, there exist two E-triangles:
Ω(T6)u→X6v→Y6⇢ and Ω(T5)u′→X5v′→Y5⇢. |
where X5, X6∈X, u and u′ are left X-approximations of Ω(T6), Ω(T5), respectively. So there exists a diagram of E-triangles which is commutative:
![]() |
We claim that the morphism x=uf is a left X-approximation of Ω(T5). In fact, let X∈X and d: Ω(T5)→X, we can get a commutative diagram of E-triangles:
![]() |
where P∈P. By the assumption, [¯T](M,Σ(X))=[T](M,Σ(X)). So d2h factors through iX. By Lemma 2.3, d factors through f. Thus ∃f1: Ω(T6)→X such that d=f1f. Moreover, u is a left X-approximation of Ω(T6). So ∃u1: X6→X such that f1=u1u. Thus d=f1f=u1uf=u1x. So x=uf is a left X-approximation of Ω(T5).
Hence there is a commutative diagram:
![]() |
By [3, Corollary 3.16], we get an E-triangle X6(yλ)→N⊕X5→Y5x∗δ5⇢
Since u′ is a left X-approximation of Ω(T5), there is also a commutative diagram with P∈P:
![]() |
such that δ5=t∗μ. So x∗δ5=x∗t∗μ=t∗x∗μ. By Lemma 3.8, the E-triangle x∗δ5 splits. So N⊕X5≃X6⊕Y5∈˜X. hence N∈˜X.
Similarly, consider the following commutative diagram with P∈P:
![]() |
and the E-triangle M→N→Yg∗δ6⇢. Then ∃t: Y→T6 such that δ6=t∗δ. Then g∗δ6=g∗t∗δ=t∗(g∗δ). Since [¯T](˜X,ΣM)=[T](˜X,ΣM), the E-triangle g∗δ6 splits by Lemma 3.5 and M is a direct summands of N. Hence M∈˜X.
By the above, we get ˜X is a T-cluster tilting subcategory.
By the definition of YR, G(YR)∈G(X). So G(˜X)≃G(X)≃N. Moreover, σ=Ω(T)∩Ω(X)⊆Ω(T)∩Ω(˜X) and Ω(T)∩Ω(˜X)⊆kerG(X)=σ. So Ω(T)∩Ω(˜X)=σ. Hence φ is surjective.
3). φ is injective following from the proof of Lemma 3.7.
By [4, Proposition 4.8 and Fact 4.13], B_≃modΩ(T)_. So it is easy to get the following corollary by Theorem 3.9:
Corollary 3.10. Let X be a subcategory of B.
1) X is T-rigid iff X_ is τ-rigid subcategory of B_.
2) X is T-cluster tilting iff X_ is support τ-tilting subcategory of B_.
If let H=CoCone(T,T), then H can completely replace B and draw the corresponding conclusion by the proof Lemma 3.7 and Theorem 3.9, which is exactly [12, Theorem 3.8]. If let B is a triangulated category, then Theorem 3.9 is exactly [9, Theorem 4.3].
This research was supported by the National Natural Science Foundation of China (No. 12101344) and Shan Dong Provincial Natural Science Foundation of China (No.ZR2015PA001).
The authors declare they have no conflict of interest.
[1] | Seinfeld JH, Pandis SN. (2016) Atmospheric chemistry and physics: from air pollution to climate change, 3 Eds., John Wiley & Sons. |
[2] |
Hanafi NH, Hassim MH, Noor ZZ, et al. (2019) Analysis of transported pollution and haze-related diseases via HYSPLIT Trajectory Modelling in the urbanized area of Johor, Malaysia. IOP Conf Ser Earth Environ Sci 373: 012008. https://doi.org/10.1088/1755-1315/373/1/012008 doi: 10.1088/1755-1315/373/1/012008
![]() |
[3] |
Othman M, Latif MT, Hamid HHA, et al. (2022) Spatial–temporal variability and health impact of particulate matter during a 2019–2020 biomass burning event in Southeast Asia. Sci Rep 12: 7630. https://doi.org/10.1038/s41598-022-11409-z doi: 10.1038/s41598-022-11409-z
![]() |
[4] |
Kirešová S, Guzan M (2022) Determining the Correlation between Particulate Matter PM10 and Meteorological Factors. Eng 3: 343–363. https://doi.org/10.3390/eng3030025. doi: 10.3390/eng3030025
![]() |
[5] |
Morantes G, González JC, Rincón G (2021) Characterisation of particulate matter and identification of emission sources in Greater Caracas, Venezuela. Air Qual Atmos Health 14: 1–26. https://doi.org/10.1007/s11869-021-01070-2 doi: 10.1007/s11869-020-00906-7
![]() |
[6] | Akademi Sains Malaysia, Haze Full Report, 2019. Available from: https://www.akademisains.gov.my/asmpub/haze-full-report/ |
[7] |
Latif MT, Othman M, Idris N, et al. (2018) Impact of regional haze towards air quality in Malaysia: A Review. Atmospheric Environ 177: 28–44. https://doi.org/10.1016/j.atmosenv.2018.01.002 doi: 10.1016/j.atmosenv.2018.01.002
![]() |
[8] | Department of Environment (DOE). Chronology of haze episodes in Malaysia – department of environment – doe, 2021. Available from https://www.doe.gov.my/en/2021/10/26/chronology-of-haze-episodes-in-malaysia/ |
[9] | Sulaiman NMS, Latif MT (2005) Effects of haze on human health in Malaysia: case study in 2005. Scientific report on the haze event in Peninsular Malaysia in August. |
[10] |
Samsuddin NA, Khan MF, Maulud KN, et al. (2018) Local and transboundary factors' impacts on trace gases and aerosol during haze episode in 2015 El Niño in Malaysia. Sci Total Environ 630: 1502–1514. https://doi.org/10.1016/j.scitotenv.2018.02.289 doi: 10.1016/j.scitotenv.2018.02.289
![]() |
[11] |
Sentian J, Jemain MA, Gabda D, et al. (2018) Long-term trends and potential associated sources of particulate matter (PM 10) pollution in Malaysia. WIT Trans Ecol Environ 230: 607–618. https://doi.org/10.2495/AIR180571. doi: 10.2495/AIR180571
![]() |
[12] |
Yin S (2020) Biomass burning spatiotemporal variations over South and Southeast Asia. Environ Int 145: 106153. https://doi.org/10.1016/j.envint.2020.106153 doi: 10.1016/j.envint.2020.106153
![]() |
[13] |
Phung VLH, Uttajug A, Ueda K, et al. (2022) A scoping review on the health effects of smoke haze from vegetation and peatland fires in Southeast Asia: Issues with study approaches and interpretation. Plos one 17: e0274433. https://doi.org/10.1371/journal.pone.0274433 doi: 10.1371/journal.pone.0274433
![]() |
[14] |
Sulong NA, Latif MT, Khan MF, et al. (2017) Source apportionment and health risk assessment among specific age groups during haze and non-haze episodes in Kuala Lumpur, Malaysia. Sci Total Environ 601: 556–570. https://doi.org/10.1016/j.scitotenv.2017.05.153 doi: 10.1016/j.scitotenv.2017.05.153
![]() |
[15] |
Wang Y, Field RD, Roswintiarti O (2004) Trends in atmospheric haze induced by peat fires in Sumatra Island, Indonesia and El Niño phenomenon from 1973 to 2003. Geophys Res Lett 31. https://doi.org/10.1029/2003GL018853 doi: 10.1029/2003GL018853
![]() |
[16] | Mendi V, Dwarakish GS (2015) El Niño: A Review. Int. J. Earth Sci. Eng. 8: 130–137. |
[17] |
Khan MF, Hamid AH, Rahim HA, et al. (2020) El Niño driven haze over the southern Malaysian Peninsula and Borneo. Sci Total Environ 739: 139091. https://doi.org/10.1016/j.scitotenv.2020.139091 doi: 10.1016/j.scitotenv.2020.139091
![]() |
[18] |
Cheong KH, Ngiam NJ, Morgan GG, et al. (2019) Acute health impacts of the Southeast Asian transboundary haze problem—A review. Int J Environ Res Public Health 16: 3286. https://doi.org/10.3390/ijerph16183286 doi: 10.3390/ijerph16183286
![]() |
[19] |
Othman J, Sahani M, Mahmud M, et al. (2014) Transboundary smoke haze pollution in Malaysia: Inpatient health impacts and economic valuation. Environ. Pollut 189 :194–201. https://doi.org/10.1016/j.envpol.2014.03.010 doi: 10.1016/j.envpol.2014.03.010
![]() |
[20] |
Chauhan PK, Kumar A, Pratap V, et al. (2022) Seasonal characteristics of PM1, PM2. 5 and PM10 over Varanasi during 2019–2020. Front Sustain Cities 4: 112. https://doi.org/10.3389/frsc.2022.909351 doi: 10.3389/frsc.2022.909351
![]() |
[21] |
Wang X, Xu Z, Su H, et al. (2021) Ambient particulate matter (PM1, PM2. 5, PM10) and childhood pneumonia: the smaller particle, the greater short-term impact? Sci Total Environ 772: 145509. https://doi.org/10.1016/j.scitotenv.2021.145509 doi: 10.1016/j.scitotenv.2021.145509
![]() |
[22] |
Zhang Y, Wei J, Shi Y, et al. (2021) Early-life exposure to submicron particulate air pollution in relation to asthma development in Chinese preschool children. J Allergy Clin Immunol 148: 771–782. https://doi.org/10.1016/j.jaci.2021.02.030 doi: 10.1016/j.jaci.2021.02.030
![]() |
[23] |
Guo H, Li X, Wei J, et al. (2022) Smaller particular matter, larger risk of female lung cancer incidence? Evidence from 436 Chinese counties. BMC Public Health 22: 344. https://doi.org/10.1186/s12889-022-12622-1 doi: 10.1186/s12889-022-12622-1
![]() |
[24] |
Wui JCH, Pien C, Kai SK, et al. (2018) Variability of the PM 10 concentration in the urban atmosphere of Sabah and its responses to diurnal and weekly changes of CO, NO 2, SO 2 and Ozone. Asian J Atmos Environ 12: 09–126. https://doi.org/10.5572/ajae.2018.12.2.109. doi: 10.5572/ajae.2018.12.2.109
![]() |
[25] | Tangang FT, Juneng L, Salimun E, et al. (2012) Climate change and variability over Malaysia: gaps in science and research information. Sains Malaysiana 41: 1355–1366. |
[26] |
Rumaling MI, Chee FP, Dayou J, et al. (2019) Temporal Assessment on Variation of PM10 Concentration in Kota Kinabalu using Principal Component Analysis and Fourier Analysis. Curr World Environ 14: 400. http://dx.doi.org/10.12944/CWE.14.3.08 doi: 10.12944/CWE.14.3.08
![]() |
[27] |
Sansuddin N, Ramli NA, Yahaya AS, et al. (2011). Statistical analysis of PM 10 concentrations at different locations in Malaysia. Environ Monit Assess 180: 573–588. https://doi.org/10.1007/s10661-010-1806-8 doi: 10.1007/s10661-010-1806-8
![]() |
[28] |
Dominick D, Juahir H, Latif MT, et al. (2012) Spatial assessment of air quality patterns in Malaysia using multivariate analysis. Atmospheric Environ 60: 172–181. https://doi.org/10.1016/j.atmosenv.2012.06.021 doi: 10.1016/j.atmosenv.2012.06.021
![]() |
[29] | U.S.EPA. Sampling Points for Air Quality, Representativeness and Comparability of Measurement in Accordance with Directive 2008/50/EC on Ambient Air Quality and Cleaner Air for Europe. Policy Department for Economic, Scientific and Quality of Life Policies, 2016. Available from: https://www.europarl.europa.eu/RegData/etudes/STUD/2019/631055/IPOL_STU(2019)631055_EN.pdf |
[30] |
Ratner B (2009). The correlation coefficient: Its values range between+ 1/− 1, or do they? J Target Meas Anal Mark 17: 139–142. https://doi.org/10.1057/jt.2009.5 doi: 10.1057/jt.2009.5
![]() |
[31] |
Lala MA, Onwunzo CS, Adesina OA, et al. (2023) Particulate matters pollution in selected areas of Nigeria: Spatial analysis and risk assessment. Case Stud Therm Eng 7:100288. https://doi.org/10.1016/j.cscee.2022.100288 doi: 10.1016/j.cscee.2022.100288
![]() |
[32] | Department of Environment Malaysia, Air Quality Standards, 2021. Available from: https://www.doe.gov.my/en/2021/12/15/air-quality-standards/ |
[33] |
Xing YF, Xu YH, Shi MH, et al. (2016) The impact of PM2. 5 on the human respiratory system. J Thorac Dis 8: E69–E74. https://doi.org/10.3978/j.issn.2072-1439.2016.01.19 doi: 10.3978/j.issn.2072-1439.2016.01.19
![]() |
[34] |
Khan MF, Latif MT, Saw WH, et al. (2016) Fine particulate matter in the tropical environment: monsoonal effects, source apportionment, and health risk assessment. Atmospheric Chem. Phys 16: 597–617. https://doi.org/10.5194/acp-16-597-2016 doi: 10.5194/acp-16-597-2016
![]() |
[35] |
Yap J, Ng Y, Yeo KK, et al. (2019) Particulate air pollution on cardiovascular mortality in the tropics: impact on the elderly. Environ Health 18: 1–9. https://doi.org/10.1186/s12940-019-0476-4 doi: 10.1186/s12940-019-0476-4
![]() |
[36] | Greenpeace, ASEAN Haze 2019: The Battle of Liability, 2019. Available from: https://www.greenpeace.org/southeastasia/press/3221/asean-haze-2019-the-battle-of-liability/#: ~: text = Key%20points%3A, and%20peatland%20for%20industrial%20plantations |
[37] |
Mahasakpan N, Chaisongkaew P, Inerb M, et al. (2023) Fine and ultrafine particle-and gas-polycyclic aromatic hydrocarbons affecting southern Thailand air quality during transboundary haze and potential health effects. J Environ Sci 124: 253–267. https://doi.org/10.1016/j.jes.2021.11.005 doi: 10.1016/j.jes.2021.11.005
![]() |
[38] |
Fujii Y, Iriana W, Oda M, et al. (2014) Characteristics of carbonaceous aerosols emitted from peatland fire in Riau, Sumatra, Indonesia. Atmospheric Environ 87: 164–169. https://doi.org/10.1016/j.atmosenv.2014.01.037 doi: 10.1016/j.atmosenv.2014.01.037
![]() |
[39] |
Dejchanchaiwong R, Tekasakul P, Tekasakul S, et al. (2020) Impact of transport of fine and ultrafine particles from open biomass burning on air quality during 2019 Bangkok haze episode. J Environ Sci 97: 149–161. https://doi.org/10.1016/j.jes.2020.04.009 doi: 10.1016/j.jes.2020.04.009
![]() |
[40] |
Birim NG, Turhan C, Atalay AS, et al. (2023) The Influence of Meteorological Parameters on PM10: A Statistical Analysis of an Urban and Rural Environment in Izmir/Türkiye. Atmosphere 14: 421. https://doi.org/10.3390/atmos14030421 doi: 10.3390/atmos14030421
![]() |
[41] |
Lee G, Lee YG, Jeong E, et al. (2021) Roles of meteorological factors in inter-regional variations of fine and coarse PM concentrations over the Republic of Korea. Atmospheric Environ 264: 118706. https://doi.org/10.1016/j.atmosenv.2021.118706 doi: 10.1016/j.atmosenv.2021.118706
![]() |
[42] |
Yang H, Peng Q, Zhou J, et al. (2020) The unidirectional causality influence of factors on PM2. 5 in Shenyang city of China. Sci Rep 10: 8403. https://doi.org/10.1038/s41598-020-65391-5 doi: 10.1038/s41598-020-65391-5
![]() |
[43] |
Kim MJ (2019) Changes in the relationship between particulate matter and surface temperature in Seoul from 2002–2017. Atmosphere 10:238. https://doi.org/10.3390/atmos10050238 doi: 10.3390/atmos10050238
![]() |
[44] |
Promsiri P, Tekasakul S, Thongyen T, et al. (2023) Transboundary haze from peatland fires and local source-derived PM2. 5 in Southern Thailand. Atmospheric Environ 294: 119512. https://doi.org/10.1016/j.atmosenv.2022.119512 doi: 10.1016/j.atmosenv.2022.119512
![]() |
1. | Zhen Zhang, Shance Wang, Relative subcategories with respect to a rigid subcategory, 2025, 0092-7872, 1, 10.1080/00927872.2025.2509823 |