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Research article Special Issues

Occurrence and aquatic toxicity of contaminants of emerging concern (CECs) in tributaries of an urbanized section of the Delaware River Watershed

  • Received: 13 May 2020 Accepted: 06 July 2020 Published: 09 July 2020
  • The presence of contaminants of emerging concern (CECs) in environmental matrices is an ongoing issue. This research project was carried out to increase our understanding of the loading, distribution and potential risk of CECs by sampling large and small tributaries in a specific area of the Delaware River watershed (in northeast USA) that is highly urbanized and significantly impacted by wastewater treatment plant effluents. Fifteen target compounds were selected for analysis based on their high frequency of detection in a previous multiyear study conducted on the Delaware River mainstem. Ten sampling sites were chosen on tributaries receiving numerous municipal and industrial discharges. Sampling locations were above and below potential source discharges. Sampling was designed to assess seasonal differences in CECs loadings. The measured environmental concentrations of the target compounds present a detailed picture of urban and industrial impacts on subwatershed receiving waters. An index of concern ranking system was applied to the sample locations by comparing measured environmental concentrations, existing target compound water quality criteria or predicted no effects levels and developing a concern summary variable. Triclocarban and diphenhydramine demonstrated to be compounds of high relative risk (RR) to the aquatic life of the Pennsylvania tributaries to the Delaware River.

    Citation: Djordje Vilimanovic, Gangadhar Andaluri, Robert Hannah, Rominder Suri, A. Ronald MacGillivray. Occurrence and aquatic toxicity of contaminants of emerging concern (CECs) in tributaries of an urbanized section of the Delaware River Watershed[J]. AIMS Environmental Science, 2020, 7(4): 302-319. doi: 10.3934/environsci.2020019

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  • The presence of contaminants of emerging concern (CECs) in environmental matrices is an ongoing issue. This research project was carried out to increase our understanding of the loading, distribution and potential risk of CECs by sampling large and small tributaries in a specific area of the Delaware River watershed (in northeast USA) that is highly urbanized and significantly impacted by wastewater treatment plant effluents. Fifteen target compounds were selected for analysis based on their high frequency of detection in a previous multiyear study conducted on the Delaware River mainstem. Ten sampling sites were chosen on tributaries receiving numerous municipal and industrial discharges. Sampling locations were above and below potential source discharges. Sampling was designed to assess seasonal differences in CECs loadings. The measured environmental concentrations of the target compounds present a detailed picture of urban and industrial impacts on subwatershed receiving waters. An index of concern ranking system was applied to the sample locations by comparing measured environmental concentrations, existing target compound water quality criteria or predicted no effects levels and developing a concern summary variable. Triclocarban and diphenhydramine demonstrated to be compounds of high relative risk (RR) to the aquatic life of the Pennsylvania tributaries to the Delaware River.


    Fibonacci and Lucas polynomials and their corresponding numbers play important parts in various disciplines. Fibonacci numbers arise in quite unexpected places. For example, they appear in nature, geography, and geometry. For some applications of these numbers, one can consult [1]. A large number of contributions were devoted to establishing formulas concerned with these polynomials and their corresponding numbers. For example, the authors in [2] found some results regarding the finite reciprocal sums of Fibonacci and Lucas polynomials. The authors in [3] derived some power sums of Fibonacci and Lucas numbers. New formulas of Fibonacci and Lucas numbers involving the golden ratio are developed in [4]. Some other contributions concerning these sequences of numbers and some of their related sequences can be found in [5,6,7,8,9].

    Several types of sequences that generalize the standard Fibonacci and Lucas sequences are introduced and investigated in a variety of contributions by many authors. In [10], Muskat considered two classes of generalized Fibonacci and generalized Lucas numbers, and some root-finding methods are applied. In [11], Trojovskỳ considered a k generalized Fibonacci sequence and found solutions to a certain Diophantine equation. The authors in [12] developed some relationships between some numbers related to Fibonacci and Lucas numbers. In [13], a new approach to generalized Fibonacci and Lucas numbers with binomial coefficients is followed. A generalized k-Horadam sequence is investigated in [14]. In [15], the authors developed some identities concerning k-balancing and k-Lucas-balancing numbers. A type of generalized Fibonacci numbers is introduced and investigated in [16]. The authors in [17] solved a quadratic Diophantine equation involving the generalized Fibonacci numbers. In [18], some arithmetic properties and new pseudo primality results for the generalized Lucas sequences were provided. Some arithmetic properties of the generalized Lucas sequences are developed in [19]. The authors in [20] introduced and investigated distance Fibonacci Polynomials. There are interesting numbers in the literature that can be considered special ones of various generalized Fibonacci numbers and generalized Lucas numbers. For example, the celebrated numbers, namely, Jacobsthal, Jacobsthal-Lucas, balancing, and co-balancing numbers, can be extracted from some generalized sequences of numbers. For some studies regarding different celebrated sequences of numbers, one can be referred, for example, to [21,22,23,24,25].

    From a numerical point of view, several types of Fibonacci and Lucas polynomials and their generalized and modified polynomials were utilized to find numerical solutions to some types of differential equations. For example, Abd-Elhameed and Youssri in the series of papers [26,27,28,29] solved some types of fractional differential equations utilizing Fibonacci and Lucas polynomials and some of their generalized polynomials. A Fibonacci wavelet method was utilized in [30] for solving the time-fractional bioheat transfer model. Certain modified Lucas polynomials were employed in [31] to treat some fractional optimal control problems. The authors in [32] used a certain generalized Lucas polynomial sequence to treat numerically the fractional pantograph differential equation.

    In [33], Abd-Elhameed and Zeyada have considered two sets of generalized Fibonacci numbers {Uc,dj}j0 and generalized Lucas numbers {Vc,dj}j0 that can be constructed respectively by means of the following recurrence relations:

    Uc,dj+2=cUc,dj+1+dUc,dj,j0,Uc,d0=0, Uc,d1=1, (1.1)

    and

    Vc,dj+2=cVc,dj+1+dVc,dj,j0,Vc,d0=2, Vc,d1=c, (1.2)

    and they developed some new identities involving the generalized Fibonacci and Lucas numbers. The famous identities of Sury and Marques were deduced as special cases, see [34,35]. Furthermore, Abd-Elhameed and Zeyada in [36] have considered another sequence of generalized numbers involving three parameters {Wc,d,rj}j0 that can be generated by the following recurrence relation:

    Wc,d,rj+2=rWc,d,rj+1+Wc,d,rj,j0,Wc,d,r0=drc,Wc,d,r1=c, (1.3)

    and they developed some other identities involving the generalized numbers Wc,d,rj.

    An an important class of generalized numbers that generalizes the three classes of the generalized Fibonacci and Lucas numbers constructed by means of the three recurrence relations (1.1)–(1.3) is the Horadam sequence of numbers {Gp,q,a,bi}i0 [37] that can constructed with the aid of the following recurrence relation:

    Gp,q,a,bi+2pGp,q,a,bi+1qGp,q,a,bi=0,Gp,q,a,b0=a,Gp,q,a,b1=b,i0, (1.4)

    where p,q,a,b are arbitrary integers.

    Horadam in [37] presented some basic properties of the sequence {Gp,q,a,bi}i0, while he derived the generating function of this sequence of numbers in [38]. Some convoluted formulas concerned with these numbers are derived in [39]. In addition, Melham in [40] derived some other identities concerned with the same sequence of numbers.

    This paper is concerned with deriving some new formulas concerned with the Horadam generalized sequence of numbers {Gp,q,a,bi}i0. The presence of four parameters in the sequence of numbers implies that several celebrated numbers such as the generalized Fibonacci, generalized Lucas, Fibonacci, Lucas, Pell, Pell-Lucas, Fermat, Fermat-Lucas, Jacobsthal, Jacobsthal-Lucas, balancing, and co-balancing numbers. can be considered special ones of our considered generalized numbers of four parameters [41]. This gives a motivation to consider and investigate the generalized sequence of numbers. Another motivation to consider the generalized numbers is that many identities concerned with them generalize some identities that exist in the literature.

    We can summarize the aims of this article in the following items.

    ● Developing a new explicit expression of these numbers.

    ● Deriving a recurrence relation that is satisfied between two certain generalized number sequences.

    ● Developing new identities between two generalized classes of numbers.

    ● Deducing some specific identities involving the special numbers namely, Fibonacci, Lucas, Pell, Pell-Lucas, Fermat, Fermat-Lucas, Jacobsthal, Jacobsthal-Lucas, balancing, and co-balancing numbers.

    The contents of the rest of the paper are structured as follows. Section 2 introduces an account of the Horadam sequence of generalized numbers that involves four parameters. Some of their fundamental properties are given. It is also shown in this section that some of the celebrated numbers can be considered special ones of them. In Section 3, two basic theorems concerned with the generalized sequence of numbers are stated and proved. In the first theorem, we give an explicit expression to these generalized numbers, while in the second theorem, a new recurrence relation concerned with two certain families of these numbers is given. Section 4 presents the main results of this paper. Some new identities are given in this respect. Moreover, some special identities are given from the new results in this section. Section 5 is devoted to presenting other identities between some generalized and specific classes of numbers. Finally, Section 6 displays the conclusion.

    This section is devoted to presenting some basic formulas of the generalized sequence of numbers {Gp,q,a,bi}i0.

    It is worthy to note here that the sequence of numbers {Gp,q,a,bi}i0 can be considered as a generalization of the three number sequences {Uc,di}i0,{Vc,di}i0 and {Wc,d,ri}i0 that generated respectively by the recurrence relations given in (1.1)–(1.3), for suitable choices of p,q,a and b.

    It is not difficult to write the Binet's form for Gp,q,a,bi. In fact, these numbers can be represented as

    Gp,q,a,bi=c1αi+c2βi,

    where c1 and c2 are constants to be determined, and α and β are the roots of the characteristic equation of (1.4), given by

    y2pyq=0,

    so, we have

    α=12(p+p2+4q),β=12(pp2+4q).

    It is not difficult to determine c1 and c2 to give

    c1=baβαβ,c2=aαβαβ,

    and this leads to the following Binet's form for Gp,q,a,bi

    Gp,q,a,bi=αi(baβ)+βi(aαb)αβ,

    that is

    Gp,q,a,bi=12i+1p2+4q×((p+p2+4q)i(2b+a(p+p2+4q))+(pp2+4q)i(2b+a(p+p2+4q))).

    This class of the generalized numbers {Gp,q,a,bi}i0 has the advantage that several generalized and specific classes of numbers can be deduced from it. In fact, by selecting suitable choices of the involved four parameters in (1.4), these celebrated numbers can be deduced. In Table 1, we display some of these numbers that can deduced as special cases from the generalized numbers {Gp,q,a,bi}i0. In every row of this table, we write the corresponding values of the four parameters a,b,p,q for each sequence accompanied by its corresponding recurrence relation.

    Table 1.  Some special numbers cases of the generalized numbers Gp,q,a,bn.
    Numbers p q a b Recurrence relation
    Generalized Fibonacci in (1.1) c d 0 1 Uc,dn+2cUc,dn+1dUc,dn=0
    Generalized Lucas in (1.2) c d 2 c Vc,dn+2cVc,dn+1dVc,dn=0
    Generalized numbers in (1.3) r 1 drc c Wc,d,rj+2rWc,d,rj+1Wc,d,rj=0
    Fibonacci 1 1 0 1 FnFn1Fn2=0
    Lucas 1 1 2 1 LnLn1Ln2=0
    Pell 2 1 0 1 Pn2Pn1Pn2=0
    Pell-Lucas 2 1 2 2 Qn2Qn1Qn2=0
    Fermat 3 -2 0 1 Fn3Fn1+2Fn2=0
    Fermat-Lucas 3 -2 2 3 fn3fn1+2fn2=0
    Jacobsthal 1 2 0 1 JnJn12Jn2=0
    Jacobsthal-Lucas 1 2 2 1 jnjn12jn2=0
    Balancing 6 -1 0 1 Bn6Bn1+Bn2=0
    Co-balancing 6 -1 2 6 bn6bn1+bn2=0

     | Show Table
    DownLoad: CSV

    It is worth mentioning that the generating function of the sequence of numbers {Gp,q,a,bi}i0 is established by Horadam [38] as:

    F(t)=a+t(bap)1ptqt2.

    This section is interested in developing two new basic formulas of the generalized numbers Gp,q,a,bi generated by means of the recurrence relation (1.4). In the first theorem, we give a new explicit expression for these numbers. The second theorem links between the two families of numbers sequences {Gp,q,a,bi}i0 and {Gp,q,c,di}i0.

    Theorem 3.1. The generalized numbers Gp,q,a,bi generated by the recurrence relation (1.4) can be explicitly expressed by the following formula:

    Gp,q,a,bi=i2n=0qnpi2n1(i2n+1)n1((i2n)b+nap)n!, i1, (3.1)

    where z represents the well-known floor function, and (ξ)n represents the Pochhammer symbol, that is: (ξ)n=Γ(ξ+n)Γ(ξ).

    Proof. First, assume that

    Fp,q,a,bi=i2n=0qnpi2n1(i2n+1)n1((i2n)b+nap)n!. (3.2)

    It is easy to see that: Fp,q,a,b0=a and Fp,q,a,b1=b, so to show that Fp,q,a,bi=Gp,q,a,bi, we need to show that it satisfies the same recurrence relation in (1.4). For this purpose, set

    Pp,q,a,bi=Fp,q,a,bi+2pFp,q,a,bi+1qFp,q,a,bi,

    and we will show the validity of the following identity:

    Pp,q,a,bi=0. (3.3)

    Due to (3.2), we can write

    Pp,q,a,bi=i2+1n=0Mn,i+2pi+12n=0Mn,i+1qi2n=0Mn,i, (3.4)

    where

    Mn,i=qnpi2n1(i2n+1)n1((i2n)b+nap)n!. (3.5)

    To show the validity of (3.3), we consider the following two cases.

    Case 1: For i=2j. In such case, Formula (3.4) leads to the following formula

    Pp,q,a,b2j=Mj+1,2j+2+jn=0(Mn,2j+2pMn,2j+1qMn,2j),

    that is can be written as

    Pp,q,a,b2j=aqj+1+jn=0p1+2j2nqn(p2(b(2+2j2n)+a(1+n)p)(2jn)!(2j2n+2)!(n1)!(2b(jn)+anp)q(2jn1)!(2j2n)!n!). (3.6)

    Now, to get a closed-form for the summation that appears in (3.6), we set

    Hn,j=jn=0p1+2j2nqn(p2(b(2+2j2n)+a(1+n)p)(2jn)!(2j2n+2)!(n1)!(2b(jn)+anp)q(2jn1)!(2j2n)!n!),

    and make use of the Zeilberger's algorithm through the Maple software, and in particular, the "sumrecursion command" [42] to show that Hn,j satisfies the following recurrence relation of order one:

    Hn,j+1qHn,j=0,Hn,0=aq,

    which can be easily solved to give

    Hn,j=aq1+j. (3.7)

    Relation (3.7) along with relation (3.6) leads to

    Pp,q,a,b2j=0. (3.8)

    Case 2: For i=2j+1. In such case, Formula (3.4) leads to the following formula

    Pp,q,a,b2j+1=j+1n=0(Mn,2j+3pMn,2j+2qMn,2j+1),

    that can be written explicitly as

    Pp,q,a,b2j+1=bp2jq+jn=0p2(1+jn)q1+n(p2(b+2bj2bn+anp)(2jn)!(1+2j2n)!n!(b(1+2j2n)+a(1+n)p)q(1+2jn)!(1+2j2n)!(1+n)!).

    Now, set

    Rn,j=jn=0p2(1+jn)q1+n(p2(b+2bj2bn+anp)(2jn)!(1+2j2n)!n!(b(1+2j2n)+a(1+n)p)q(1+2jn)!(1+2j2n)!(1+n)!).

    Making use of Zeilberger's algorithm again leads to the following recurrence relation:

    Rn,j+1=p2Rn,j,Rn,0=bq,

    that can be easily solved to give

    Rn,j=bp2jq,

    and accordingly,

    Pp,q,a,b2j+1=0. (3.9)

    The two Formulas (3.8) and (3.9) show the desired result of Theorem 3.1.

    Now, the following theorem is useful in the sequel. In this theorem, we will give a recurrence relation between the two classes of numbers {Gp,q,a,bi}i0 and {Gp,q,c,di}i0.

    Theorem 3.2. For q0 and a2q+abpb20, the following recurrence relation holds for every non-negative integer i:

    Gp,q,c,di+1=Gp,q,a,bi+(pq+bd+bcp+acqb2+abp+a2q)Gp,q,a,bi+1+(1q+bc+adb2+abp+a2q)Gp,q,a,bi+2. (3.10)

    Proof. To show the validity of the recurrence relation (3.10), we prove that

    Li=Gp,q,a,bi+MGp,q,a,bi+1+RGp,q,a,bi+2Gp,q,c,di+1=0, (3.11)

    where

    M=pq+bd+bcp+acqb2+abp+a2q,R=1q+bc+adb2+abp+a2q.

    We are going to prove that

    L2i=0,andL2i+1=0.

    The proofs of the two identities are similar, We will prove that L2i+1=0.

    In virtue of the explicit representation of Gp,q,a,bi in (3.1), we can write L2i+1 in the form

    L2i+1=im=0Sm,i+Mim=0ˉSm,i+Ri+1m=0Sm,i+1im=0Hm,i, (3.12)

    where

    Sm,i=qmp2i2m1(2i2m+1)m1(2(im)b+map)m!,ˉSm,i=qmp2i2m(2i2m+2)m1((2i2m+1)b+map)m!,Hm,i=qmp2i2m(2i2m+2)m1((2i2m+1)d+mcp)m!.

    Relation (3.12) can be written alternatively as

    L2i+1=RSi+1,i+1+im=0Tm,i, (3.13)

    and

    Tm,i=Sm,i+MˉSm,i+RSm,i+1Hm,i.

    It can be shown that

    im=0Tm,i=aqi+1(adbca2q+abpb21q)=RSi+1,i+1,

    and accordingly

    L2i+1=0.

    Theorem 3.2 is now proved.

    This section is confined to presenting new identities involving the generalized numbers Gp,q,a,bi. Some identities involving the generalized Fibonacci, generalized Lucas, Fibonacci, Lucas, Pell, Pell-Lucas, Fermat, Fermat-Lucas, Jacobsthal, Jacobsthal-Lucas, balancing, and co-balancing numbers are also deduced as special cases.

    Theorem 4.1. Let k be a non-negative integer, and let xR=R{0}. For bd+acq+bcp0, one has

    xk+1Gp,q,a,bk+1=a+1bd+acq+bcpki=0xi((adbc+x(bd+acq+bcp))Gp,q,a,bi+1+(b2a2qabp) Gp,q,c,di). (4.1)

    Proof. We will prove the result by induction. For k=0, it is easy to see that the left-hand side equals the right-hand side which is equal to (bx). Now assume the validity of (4.1), and then to complete the proof, we have to prove the following identity:

    xk+2Gp,q,a,bk+2=a+1bd+acq+bcpk+1i=0xi((adbc+x(bd+acq+bcp))Gp,q,a,bi+1+(b2a2qabp)Gp,q,c,di). (4.2)

    It is clear that each side of relation (4.2) is a polynomial of degree (k+2). Now, let

    M(x)=a+1bd+acq+bcpk+1i=0xi((adbc+x(bd+acq+bcp))Gp,q,a,bi+1+(b2a2qabp)Gp,q,c,di).

    Now to show (4.2), it suffices to show the validity of the following formula

    M(x)=xk+2Gp,q,a,bk+2.

    The polynomial M(x) can be written in the form

    M(x)=a+1bd+acq+bcp×ki=0xi((adbc+x(bd+acq+bcp))Gp,q,a,bi+1+(b2a2qabp)Gp,q,c,di)+1bd+bcp+acqxk+1((b(c+dxcpx)+a(d+cqx))Gp,q,a,bk+1+(b2abpa2q)Gp,q,c,dk+1). (4.3)

    Making use of the inductive step leads to

    M(x)=xk+1Gp,q,a,bk+1+1bd+bcp+acqxk+1×((b(c+dxcpx)+a(d+cqx))Gp,q,a,bk+2+(b2abpa2q)Gp,q,c,dk+1). (4.4)

    If we insert the mixed recurrence relation (3.10) written in the form

    Gp,q,c,dk+1=Gp,q,a,bk+(pq+bd+bcp+acqb2+abp+a2q)Gp,q,a,bk+1+(1q+bc+adb2+abp+a2q)Gp,q,a,bk+2, (4.5)

    into relation (4.4), then after collecting the similar terms, the following identity can be obtained:

    M(x)=xk+1(b2+aq(a+cqx)+b(ap+(d+cp)qx)q(bd+bcp+acq)Gp,q,a,bk+2+p(b2abpa2q)q(bd+bcp+acq)Gp,q,a,bk+1b2abpa2qbd+bcp+acqGp,q,a,bk). (4.6)

    In virtue of the recurrence relation (1.4), and doing some simplifications enable one to reduce M(x) in the form

    M(x)=xk+2Gp,q,a,bk+2,

    and hence the following formula is obtained

    xk+1Gp,q,a,bk+1=a+1bd+acq+bcpki=0xi((adbc+x(bd+acq+bcp))Gp,q,a,bi+1+(b2a2qabp)Gp,q,c,di).

    This completes the proof of Theorem 4.1.

    Several special formulas involving some generalized Fibonacci and generalized Lucas numbers can be deduced as special cases of Theorem 4.1. The following corollaries display some identities between the generalized numbers of four parameters and the generalized Fibonacci and generalized Lucas numbers that are generated respectively by the two recurrence relations in (1.1) and (1.2).

    Corollary 4.1. Let k be a non-negative integer, and xR. For cpd, one has

    xk+1Up,qk+1=1d+cpki=0xi(Gp,q,c,di+(c+(d+cp)x)Up,qi+1). (4.7)

    Proof. The substitution by a=0,b=1 in Identity (4.1) yields relation (4.7).

    Corollary 4.2. Let k be a non-negative integer, and xR. Then for b0, one has

    xk+1Gp,q,a,bk+1=a1bki=0xi((b2abpa2q)Up,qi+(abx)Up,qi+1). (4.8)

    Proof. The substitution by c=0,d=1 in Identity (4.1) yields relation (4.8).

    Corollary 4.3. Let k be a non-negative integer, and xR. Then for c(p2+2q)dp, one has

    xk+1Vp,qk+1=2+1dp+c(p2+2q)×ki=0xi((p24q)Gp,q,c,di+(2dcp+(dp+cp2+2cq)x)Vp,qi+1). (4.9)

    Proof. The substitution by a=2,b=p in Identity (4.1) yields relation (4.9).

    Corollary 4.4. Let k be a non-negative integer, and xR. Then for bp+2aq0, one has

    xk+1Gp,q,a,bk+1=a+1bp+2aq×ki=0xi((b2abpa2q)Vp,qi+(2b+ap+(bp+2aq)x)Gp,q,a,bi+1). (4.10)

    Proof. The substitution by c=2,d=p in Identity (4.1) yields relation (4.10).

    Taking into consideration the special number sequences mentioned in Table 1, the following corollaries provide some of the special formulas.

    Corollary 4.5. For the generalized classes of Fibonacci and Lucas numbers that generated respectively by the two recurrence relations (1.1) and (1.2), the following two identities hold if k is a non-negative integer, xR, and p0

    xk+1Up,qk+1=1pki=0xi((2+px)Up,qi+1+Vp,qi), (4.11)
    xk+1Va,bk+1=21pki=0xi((2px)Vp,qi+1+(p24q)Up,qi). (4.12)

    Proof. Identity (4.11) is a direct consequence of Identity (4.7) for the special case corresponding to c=2 and d=p, while Identity (4.12) is a direct consequence of Identity (4.10) for the special case corresponding to c=0 and d=1.

    Remark 4.1. The Identity (4.11) coincides with that obtained in [33].

    Remark 4.2. Since the Fibonacci, Pell, Fermat, Jacobsthal and balancing numbers are special ones of the generalized Fibonacci numbers Up,qk, and the Lucas, Pell-Lucas, Fermat-Lucas, Jacobsthal-Lucas and co-balancing numbers are special ones of the generalized Lucas numbers Vp,qk, so the two Identities (4.11) and (4.12) lead to some interesting identities concerning these celebrated numbers. The following corollaries display these identities.

    Corollary 4.6. For Fibonacci and Lucas numbers, the following two identities hold for every non-negative integer k, and every xR:

    xk+1Fk+1=ki=0xi(Li+(2+x)F1+i), (4.13)
    xk+1Lk+1=2ki=0xi(5Fi+(2x)L1+i). (4.14)

    Proof. If we set a=1 and b=1 in (4.11) and (4.12) respectively, the two Identities (4.13) and (4.14) can be obtained.

    Corollary 4.7. For Pell and Pell-Lucas numbers, the following two identities hold for every non-negative integer k, and every xR:

    xk+1Pk+1=12ki=0xi(Qi+(2+2x)Pi+1), (4.15)
    xk+1Qk+1=212ki=0xi(8Pi+(22x)Qi+1). (4.16)

    Proof. If we set a=2 and b=1 in (4.11) and (4.12) respectively, the two Identities (4.15) and (4.16) can be obtained.

    Corollary 4.8. For Fermat and Fermat-Lucas numbers, the following two identities hold for every non-negative integer k, and every xR:

    xk+1Fk+1=13ki=0xi((2+3x)Fi+1+fi), (4.17)
    xk+1fk+1=213ki=0xi((23x)fi+1Fi). (4.18)

    Proof. If we set a=3 and b=2 in (4.11) and (4.12) respectively, the two Identities (4.17) and (4.17) can be obtained.

    Corollary 4.9. For Jacobsthal and Jacobsthal-Lucas numbers, the following two identities hold for every non-negative integer k, and every xR:

    xk+1Jk+1=ki=0xi((2+x)Ji+1+ji), (4.19)
    xk+1jk+1=2ki=0xi((2x)ji+19Ji). (4.20)

    Proof. If we set a=1 and b=2 in (4.11) and (4.12) respectively, the two Identities (4.19) and (4.19) can be obtained.

    Corollary 4.10. For balancing and co-balancing numbers, the following two identities hold for every non-negative integer k, and every xR:

    xk+1Bk+1=16ki=0xi((2+6x)Bi+1+bi), (4.21)
    xk+1bk=216ki=0xi((26x)bi+132Bi). (4.22)

    Proof. If we set a=6 and b=1 in (4.11) and (4.12) respectively, the two Identities (4.21) and (4.21) can be obtained.

    This section concentrates on introducing some other identities concerned with the Horadam generalized numbers Gp,q,a,bk and some of their special numbers.

    Theorem 5.1. For every non-negative integer k, every xR, and for bcp+acqbd, one has

    (k+1)xk+1Gp,q,a,bk+1=ki=0xi(((bc+ad)ibd+bcp+acq+(i+1)x)G,p,q,a,bi+1+i(b2abpa2q)bd+bcp+acqGp,q,c,di). (5.1)

    Proof. If we differentiate both sides of (4.1) with respect to x, then Identity (5.1) can be obtained.

    Taking into consideration the special numbers of the generalized numbers Gp,q,a,bi+1 that can be deduced by choosing the four parameters p,q,a and b suitably, then some identities can be deduced are direct consequences of Theorem 5.1. The following theorem exhibits these identities.

    Corollary 5.1. For the generalized Fibonacci and generalized Lucas numbers, the following two identities hold for every non-negative integer k, every xR, and for p0:

    (k+1)xk+1Up,qk+1=ki=0xi((2ip+(1+i)x)Up,qi+1+ipVp,qi), (5.2)
    (k+1)xk+1Vp,qk+1=ki=0xi(i(p2+4q)pUp,qi+(2ip+(1+i)x)Vp,qi+1). (5.3)

    Corollary 5.2. For Fibonacci and Lucas numbers, the following two identities hold for every non-negative integer k, every xR:

    (k+1)xk+1Fk+1=ki=0xi((2i+(1+i)x)Fi+1+iLi), (5.4)
    (k+1)xk+1Lk+1=ki=0xi((2i+(i+1)x)L1+i+5iFi). (5.5)

    Corollary 5.3. For Pell and Pell-Lucas numbers, the following two identities hold for every non-negative integer k, every xR:

    (k+1)xk+1Pk+1=ki=0xi((i+(1+i)x)Pi+1+12iQi), (5.6)
    (k+1)xk+1Qk+1=ki=0xi((i+(1+i)x)Qi+1+4iPi). (5.7)

    Corollary 5.4. For Fermat and Fermat-Lucas numbers, the following two identities hold for every non-negative integer k, every xR:

    (k+1)xk+1Fk+1=ki=0xi((2i3+(i+1)x)Fi+1+13ifi), (5.8)
    (k+1)xk+1fk+1=ki=0xi((2i3+(i+1)x)fi+1+13iFi). (5.9)

    Corollary 5.5. For Jacobsthal and Jacobsthal-Lucas numbers, the following two identities hold for every non-negative integer k, every xR:

    (k+1)xk+1Jk+1=ki=0xi(iji+(2i+(i+1)x)Ji+1), (5.10)
    (k+1)xk+1jk+1=ki=0xi((2i+(i+1)x)ji+1+9iJi). (5.11)

    Corollary 5.6. For balancing and co-balancing numbers, the following two identities hold for every non-negative integer k, every xR:

    (k+1)xk+1Bk+1=ki=0xi((i3+(i+1)x)Bi+1+16ibi), (5.12)
    (k+1)xk+1bi=ki=0xi((i3+(i+1)x)bi+1+163iBi). (5.13)

    Remark 5.1. All the above identities in Sections 4 and 5 can be generalized if both sides of Eq (4.1) is differentiated rtimes. The following theorem is a generalization of Theorem 4.1.

    Theorem 5.2. For all non-negative integer k,r, every xR, and for bcp+acqbd, the following identity is valid:

    (kr+2)r xk+1Gp,q,a,bk+1=ki=0xi(((bc+ad)(1+ir)bd+bcp+acq+(1+i)x)(2+ir)r1Gp,q,a,bi+1+(b2abpa2q)(1+ir)rbd+bcp+acqGp,q,c,di). (5.14)

    Proof. Differentiating both sides of (4.1) with respect to x yields the following identity:

    (kr+2)rxkr+1Up,q,a,bk+1=ki=0(xirξ(i+1r)rGp,q,a,bi+1+xir+1(ir+2)rGp,q,a,bi+1+γxir(ir+1)rVp,q,c,di). (5.15)

    with

    ξ=adbcbd+acq+bcp,η=b2a2qabpbd+bcp+acq,

    that can be written after some simplifications in the form

    (kr+2)r xk+1Gp,q,a,bk+1=ki=0xi(((bc+ad)(1+ir)bd+bcp+acq+(1+i)x)(ir+2)r1Gp,q,a,bi+1+(b2abpa2q)(1+ir)rbd+bcp+acqGp,q,c,di).

    In the following, we write the generalizations of Corollaries 11–16 which are special cases of the general result in Theorem 5.2. They can be deduced by selecting the six parameters p,q,a,b,c and d that appears in Identity (5.14).

    Corollary 5.7. For all non-negative integer k,r, every xR, and for p0, the following two identities are valid:

    (kr+2)rxk+1Up,qk+1=ki=0xi((2(1+ir)p+(1+i)x)(2+ir)r1Up,qi+1+(1+ir)rpVp,qi), (5.16)
    (kr+2)rxk+1Vp,qk+1=ki=0xi(((bc+ad)(1+ir)bd+bcp+acq+(1+i)x)(2+ir)r1Vp,qi+1+(b2abpa2q)(1+ir)rbd+bcp+acqUp,qi). (5.17)

    Corollary 5.8. For Fibonacci and Lucas numbers, the following two identities hold for all non-negative integers k and r, every xR:

    (kr+2)rxk+1Fk+1=ki=0xi((2(1+ir)+(1+i)x)(2+ir)r1Fi+1+(1+ir)rLi), (5.18)
    (kr+2)rxk+1Lk+1=ki=0xi(5(1+ir)rFi+(2(1+ir) (5.19)
    +(1+i)x)(2+ir)r1 L1+i). (5.20)

    Corollary 5.9. For Pell and Pell-Lucas numbers, the following two identities hold for all non-negative integers k and r, every xR:

    xk+1(2+kr)rPk+1=ki=0xi((1i+r+(1+i)x)(2+ir)r1Pi+1+12(1+ir)rQi,), (5.21)
    (kr+2)rxk+1Qk+1=ki=0xi((1i+r+(1+i)x)(2+ir)r1Qi+1+4(1+ir)rPi). (5.22)

    Corollary 5.10. For Fermat and Fermat-Lucas numbers, the following two identities hold for all non-negative integers k and r, every xR:

    (kr+2)rxk+1Fk+1=ki=0xi((13(2)(1+ir)+(1+i)x)(2+ir)r1Fi+1+13(1+ir)rfi)), (5.23)
    (kr+2)rxk+1fk+1=ki=0xi((23(1+ir)+(1+i)x)(2+ir)r1fi+1) (5.24)
    +13(1+ir)rFi). (5.25)

    Corollary 5.11. For Jacobsthal and Jacobsthal-Lucas numbers, the following two identities hold for all non-negative integers k and r, every xR:

    (kr+2)rxk+1Jk+1=ki=0xi((2(1+ir)+(1+i)x)(2+ir)r1Ji+1+(1+ir)rji), (5.26)
    (kr+2)rxk+1jk+1=ki=0xi((2(1+ir)+(1+i)x)(2+ir)r1ji+1+9(1+ir)rJi). (5.27)

    Corollary 5.12. For balancing and co-balancing numbers, the following two identities hold for all non-negative integers k and r, every xR:

    (kr+2)r xk+1Bk+1=ki=0xi((13(1i+r)+(1+i)x)(2+ir)r1Bi+1+16(1+ir)rbi), (5.28)
    (kr+2)rxk+1bk+1=ki=0xi((13(1i+r)+(1+i)x)(2+ir)r1bi+1+163(1+ir)rBi). (5.29)

    In this paper, we have investigated Horadam generalized numbers involving four parameters that generalize some generalized and specific types of Fibonacci and Lucas numbers. A new identity involving six parameters was derived. Some of the interesting identities involving generalized and specific numbers such as Fibonacci, Lucas, Pell, Pell-Lucas, Jacobsthal, Jacobsthal-Lucas, balancing, and co-balancing numbers were extracted as special cases. Some well-known identities in the literature can be extracted from our identities as special cases by selecting suitably the involved parameters. In future work, we aim to perform some other studies regarding these generalized numbers. In addition, we aim to study other types of generalized Fibonacci and Lucas numbers.

    The authors would like to thank the Deanship of Scientific Research at Umm Al-Qura University for supporting this work by Grant Code: 22UQU4331287DSR03.

    The authors declare that they have no competing interests.



    [1] Fent K, Weston AA, Caminada D (2006) Ecotoxicology of human pharmaceuticals. Aquat Toxicol 76: 122-159. doi: 10.1016/j.aquatox.2005.09.009
    [2] Barceló D, Petrovic M (2007) Pharmaceuticals and personal care products (PPCPs) in the environment. Anal Bioanal Chem 387: 1141-1142. doi: 10.1007/s00216-006-1012-2
    [3] Kim JW, Jang HS, Kim JG, et al. (2009) Occurrence of Pharmaceutical and Personal Care Products (PPCPs) in Surface Water from Mankyung River, South Korea. J Heal Sci 55: 249-258. doi: 10.1248/jhs.55.249
    [4] Vidal-Dorsch DE, Bay SM, Maruya K, et al. (2012) Contaminants of emerging concern in municipal wastewater effluents and marine receiving water. Environ Toxicol Chem 31: 2674-2682. doi: 10.1002/etc.2004
    [5] Pal A, Gin KYH, Lin AYC, et al. (2010) Impacts of emerging organic contaminants on freshwater resources: Review of recent occurrences, sources, fate and effects. Sci Total Environ 408: 6062-6069. doi: 10.1016/j.scitotenv.2010.09.026
    [6] Blair BD, Crago JP, Hedman CJ, et al. (2013) Pharmaceuticals and personal care products found in the Great Lakes above concentrations of environmental concern. Chemosphere 93: 2116-2123. doi: 10.1016/j.chemosphere.2013.07.057
    [7] Fairbairn DJ, Karpuzcu ME, Arnold WA, et al. (2015) Sediment-water distribution of contaminants of emerging concern in a mixed use watershed. Sci Total Environ 505: 896-904. doi: 10.1016/j.scitotenv.2014.10.046
    [8] Paíga P, Santos LHMLM, Ramos S, et al. (2016) Presence of pharmaceuticals in the Lis river (Portugal): Sources, fate and seasonal variation. Sci Total Environ 573: 164-177. doi: 10.1016/j.scitotenv.2016.08.089
    [9] Andaluri G, Suri RPS, Graham K (2017) Steroid hormones in environmental matrices: extraction method comparison. Environ Monit Assess 189: 626. doi: 10.1007/s10661-017-6345-0
    [10] Andaluri G, Suri RPS, Kumar K (2012) Occurrence of estrogen hormones in biosolids, animal manure and mushroom compost. Environ Monit Assess 184: 1197-1205. doi: 10.1007/s10661-011-2032-8
    [11] Bean TG, Rattner BA, Lazarus RS, et al. (2018) Pharmaceuticals in water, fish and osprey nestlings in Delaware River and Bay. Environ Pollut 232: 533-545. doi: 10.1016/j.envpol.2017.09.083
    [12] Jones OAH, Voulvoulis N, Lester JN (2002) Aquatic environmental assessment of the top 25 English prescription pharmaceuticals. Water Res 36: 5013-5022. doi: 10.1016/S0043-1354(02)00227-0
    [13] Carlsson C, Johansson AK, Alvan G, et al. (2006) Are pharmaceuticals potent environmental pollutants?. Part I: Environmental risk assessments of selected active pharmaceutical ingredients. Sci Total Environ 364: 67-87.
    [14] Sui Q, Huang J, Deng S, et al. (2010) Occurrence and removal of pharmaceuticals, caffeine and DEET in wastewater treatment plants of Beijing, China. Water Res 44: 417-426. doi: 10.1016/j.watres.2009.07.010
    [15] Hansen M, Krogh KA, Björklund E, et al. (2009) Environmental risk assessment of ionophores. TrAC - Trends Anal Chem 28: 534-542. doi: 10.1016/j.trac.2009.02.015
    [16] EEA (2014) Chapter 6: Ecological Risk Assessment. Eur Environ Agency 4-7.
    [17] Higgins CP, Paesani ZJ, Chalew TEA, et al. (2009) Pharmaceuticals and Personal Care Products in the Environment BIOACCUMULATION OF TRICLOCARBAN IN LUMBRICULUS VARIEGATUS. Environ Toxicol 28: 2663-2670. doi: 10.1897/08-485.1
    [18] DRBC (2019) State of the Basin.
    [19] MacGillivray AR (2013) Contaminants of Emerging Concern In the Tidal Delaware River.
    [20] USEPA (2007) Method 1694: Pharmaceuticals and Personal Care Products in Water, Soil, Sediment, and Biosolids by HPLC / MS / MS.
    [21] CENSUS UBO (2010) U.S. Census Bureau, US Census Bureau 2010 Census, 2010. Available from: http://www.census.gov/2010census/.
    [22] Scheurer M, Michel A, Brauch HJ, et al. (2012) Occurrence and fate of the antidiabetic drug metformin and its metabolite guanylurea in the environment and during drinking water treatment. Water Res 46: 4790-4802. doi: 10.1016/j.watres.2012.06.019
    [23] Kosma CI, Lambropoulou DA, Albanis TA (2015) Comprehensive study of the antidiabetic drug metformin and its transformation product guanylurea in Greek wastewaters. Water Res 70: 436-448. doi: 10.1016/j.watres.2014.12.010
    [24] Niemuth NJ, Jordan R, Crago J, et al. (2015) Metformin exposure at environmentally relevant concentrations causes potential endocrine disruption in adult male fish. Environ Toxicol Chem 34: 291-296. doi: 10.1002/etc.2793
    [25] Karpuzcu ME, Fairbairn D, Arnold WA, et al. (2014) Identifying sources of emerging organic contaminants in a mixed use watershed using principal components analysis. Environ Sci Process Impacts 16: 2390-2399. doi: 10.1039/C4EM00324A
    [26] Trautwein C, Kümmerer K (2011) Incomplete aerobic degradation of the antidiabetic drug Metformin and identification of the bacterial dead-end transformation product Guanylurea. Chemosphere 85: 765-773. doi: 10.1016/j.chemosphere.2011.06.057
    [27] Tamura I, Kagota KI, Yasuda Y, et al. (2013) Ecotoxicity and screening level ecotoxicological risk assessment of five antimicrobial agents: Triclosan, triclocarban, resorcinol, phenoxyethanol and p-thymol. J Appl Toxicol 33: 1222-1229.
    [28] WET Center (2016) WET Center Pharmaceutical PNEC list.
    [29] Ferrari B, Mons R, Vollat B, et al. (2004) Environmental Risk Assessment of Six Human Pharmaceuticals: Are the Current Environmental Risk Assessment Procedures Sufficient for the Protection of the Aquatic Environment? Environ Toxicol Chem 23: 1344. doi: 10.1897/03-246
    [30] Ferrari G, Junghans M, Korkaric M, et al. (2019) Antibiotikaresistenzbildung in der Umwelt. Herleitung von UQK für Antibiotika unter Berücksichtigung von Resistenzbildung. Aqua Gas 52-59.
    [31] Isidori M, Parrella A, Pistillo P, et al. (2009) Effects of ranitidine and its photoderivatives in the aquatic environment. Environ Int 35: 821-825. doi: 10.1016/j.envint.2008.12.002
    [32] Isidori M, Nardelli A, Pascarella L, et al. (2007) Toxic and genotoxic impact of fibrates and their photoproducts on non-target organisms. Environ Int 33: 635-641. doi: 10.1016/j.envint.2007.01.006
    [33] US EPA (2014) Ecological Structure Activity Relationships (ECOSAR).
    [34] Deo RP (2014) Pharmaceuticals in the Surface Water of the USA: A Review. Curr Environ Heal reports 1: 113-122. doi: 10.1007/s40572-014-0015-y
    [35] Kim Y, Choi K, Jung J, et al. (2007) Aquatic toxicity of acetaminophen, carbamazepine, cimetidine, diltiazem and six major sulfonamides, and their potential ecological risks in Korea. Environ Int 33: 370-375. doi: 10.1016/j.envint.2006.11.017
    [36] Cunningham VL, Buzby M, Hutchinson T, et al. (2006) Effects of human pharmaceuticals on aquatic life: Next steps. Environ Sci Technol 40: 3456-3462. doi: 10.1021/es063017b
    [37] ECHA (2008) Guidance on information requirements and chmical safety assessment. Chapter R.10: Characterisation of dose [concentration]-response for environment. Eur Chem Agency 1-65.
    [38] Caldwell JC, Evans M V., Krishnan K (2012) Cutting edge PBPK models and analyses: Providing the basis for future modeling efforts and bridges to emerging toxicology paradigms. J Toxicol 2012: 1-10.
    [39] Heidler J, Sapkota A, Halden RU (2006) Partitioning, persistence, and accumulation in digested sludge of the topical antiseptic triclocarban during wastewater treatment. Environ Sci Technol 40: 3634-3639. doi: 10.1021/es052245n
    [40] Brausch JM, Rand GM (2011) A review of personal care products in the aquatic environment: Environmental concentrations and toxicity. Chemosphere 82: 1518-1532. doi: 10.1016/j.chemosphere.2010.11.018
    [41] DeLeo PC, Sedlak RI (2014) Comment on 'on the need and speed of regulating triclosan and triclocarban in the United States'. Environ Sci Technol 48: 11021-11022. doi: 10.1021/es503494j
    [42] U.S. Food and Drug Administration (2016) Focus on Surfactants, FDA issues final rule on safety and effectiveness of antibacterial soaps, 2016. Available from: https://www.fda.gov/news-events/press-announcements/fda-issues-final-rule-safety-and-effectiveness-antibacterial-soaps.
    [43] Halden RU (2020) Triclosan and Triclocarban: Exposures, Toxicity and Testing - Environmental Health Symposium, 2020. Available from: http://environmentalhealthsymposium.com/blog/2020/2/3/triclosan-and-triclocarbon-exposures-toxicity-and-testing.
    [44] Berninger JP, Du B, Connors KA, et al. (2011) Effects of the antihistamine diphenhydramine on selected aquatic organisms. Environ Toxicol Chem 30: 2065-2072. doi: 10.1002/etc.590
    [45] Ramirez AJ, Mottaleb MA, Brooks BW, et al. (2007) Analysis of pharmaceuticals in fish using liquid chromatography-tandem mass spectrometry. Anal Chem 79: 3155-3163. doi: 10.1021/ac062215i
    [46] Andreozzi R, Marotta R, Pinto G, et al. (2002) Carbamazepine in water: Persistence in the environment, ozonation treatment and preliminary assessment on algal toxicity. Water Res 36: 2869-2877. doi: 10.1016/S0043-1354(01)00500-0
    [47] Garber AJ, Duncan TG, Goodman AM, et al. (1997) Efficacy of metformin in type II diabetes: Results of a double-blind, placebo-controlled, dose-response trial. Am J Med 103: 491-497. doi: 10.1016/S0002-9343(97)00254-4
    [48] Ecotox Centre Eawag-EPFL (2017) Proposals for Acute and Chronic Quality Standards | Oekotoxzentrum, 2017. Available from: http://www.ecotoxcentre.ch/expert-service/quality-standards/proposals-for-acute-and-chronic-quality-standards/.
    [49] Isidori M, Lavorgna M, Nardelli A, et al. (2005) Toxic and genotoxic evaluation of six antibiotics on non-target organisms. Sci Total Environ 346: 87-98. doi: 10.1016/j.scitotenv.2004.11.017
    [50] Danner MC, Robertson A, Behrends V, et al. (2019) Antibiotic pollution in surface fresh waters: Occurrence and effects. Sci Total Environ 664: 793-804. doi: 10.1016/j.scitotenv.2019.01.406
    [51] Luo Y, Guo W, Ngo HH, et al. (2014) A review on the occurrence of micropollutants in the aquatic environment and their fate and removal during wastewater treatment. Sci Total Environ 473-474: 619-641. doi: 10.1016/j.scitotenv.2013.12.065
    [52] Hirsch R, Ternes T, Haberer K, et al. (1999) Occurrence of antibiotics in the aquatic environment. Sci Total Environ 225: 109-118. doi: 10.1016/S0048-9697(98)00337-4
    [53] US EPA (2004) Overview of the Ecological Risk Assessment Process in the Office of Pesticide Programs - Endangered and Threatened Species Effects Determinations.
    [54] He W, Goodkind D, Kowal P (2016) An Aging World: 2015 International Population Reports. Aging (Albany NY) 165.
    [55] Nakashima M, Canda ER (2005) Positive dying and resiliency in later life: A qualitative study. J Aging Stud 19: 109-125. doi: 10.1016/j.jaging.2004.02.002
    [56] OECD (2019) Pharmaceutical Residues in Freshwater - Hazards and Policy Responses
    [57] Christensen NS, Wood AW, Voisin N, et al. (2004) The effects of climate change on the hydrology and water resources of the Colorado River basin. Clim Change 62: 337-363. doi: 10.1023/B:CLIM.0000013684.13621.1f
    [58] Pennsylvania Environmental Council (2020) Stormwater Resources for Philadelphia & Urban Centers, 2020. Available from: https://pecpa.org/stormwater-philadelphia-urban-centers/.
    [59] Kricun A (2018) Using a Triple Bottom Line Approach To Reduce Combined Sewage Flooding and Provide Community Benefit in Camden City.
    [60] Jeffries KM, Brander SM, Britton MT, et al. (2015) Chronic exposures to low and high concentrations of ibuprofen elicit different gene response patterns in a euryhaline fish. Environ Sci Pollut Res 22: 17397-17413. doi: 10.1007/s11356-015-4227-y
    [61] MedlinePlus (NIH) (2015) Diphenhydramine: MedlinePlus Drug Information, 2015. Available from: https://www.nlm.nih.gov/medlineplus/druginfo/meds/a682539.html.
    [62] National Cancer Institute (2019) NCI Thesaurus, 2019. Available from: https://ncit.nci.nih.gov/ncitbrowser/ConceptReport.jsp?dictionary=NCI_Thesaurus&ns=ncit&code=C873.
    [63] Cerner Multum I (2010) Thiabendazole Uses, Side Effects & Warnings - Drugs.com, 2010. Available from: https://www.drugs.com/mtm/thiabendazole.html.
    [64] Johnson AC, Keller V, Dumont E, et al. (2015) Assessing the concentrations and risks of toxicity from the antibiotics ciprofloxacin, sulfamethoxazole, trimethoprim and erythromycin in European rivers. Sci Total Environ 511: 747-755. doi: 10.1016/j.scitotenv.2014.12.055
    [65] Wright SW, Wrenn KD, Haynes ML (1999) Trimethoprim-sulfamethoxazole resistance among urinary coliform isolates. J Gen Intern Med 14: 606-609. doi: 10.1046/j.1525-1497.1999.10128.x
    [66] Heberer T (2002) Tracking persistent pharmaceutical residues from municipal sewage to drinking water. J Hydrol 266: 175-189. doi: 10.1016/S0022-1694(02)00165-8
    [67] PWD (2011) Schuylkill | Philadelphia Water Department, 2011. Available from: http://www.phillywatersheds.org/your_watershed/schuylkill.
    [68] Sunger N, Teske SS, Nappier S, et al. (2012) Recreational use assessment of water-based activities, using time-lapse construction cameras. J Expo Sci Environ Epidemiol 22: 281-290. doi: 10.1038/jes.2012.4
    [69] Cunningham VL, Binks SP, Olson MJ (2009) Human health risk assessment from the presence of human pharmaceuticals in the aquatic environment. Regul Toxicol Pharmacol 53: 39-45. doi: 10.1016/j.yrtph.2008.10.006
    [70] Kostich MS, Lazorchak JM (2008) Risks to aquatic organisms posed by human pharmaceutical use. Sci Total Environ 389: 329-339. doi: 10.1016/j.scitotenv.2007.09.008
    [71] Kostich MS, Batt AL, Lazorchak JM (2014) Concentrations of prioritized pharmaceuticals in effluents from 50 large wastewater treatment plants in the US and implications for risk estimation. Environ Pollut 184: 354-359. doi: 10.1016/j.envpol.2013.09.013
    [72] Schwab BW, Hayes EP, Fiori JM, et al. (2005) Human pharmaceuticals in US surface waters: A human health risk assessment. Regul Toxicol Pharmacol 42: 296-312. doi: 10.1016/j.yrtph.2005.05.005
    [73] Collier AC (2007) Pharmaceutical contaminants in potable water: Potential concerns for pregnant women and children. Ecohealth 4: 164-171. doi: 10.1007/s10393-007-0105-5
    [74] Bruce GM, Pleus RC, Snyder SA (2010) Toxicological relevance of pharmaceuticals in drinking water. Environ Sci Technol 44: 5619-5626. doi: 10.1021/es1004895
    [75] Kumar A, Xagoraraki I (2010) Human health risk assessment of pharmaceuticals in water: An uncertainty analysis for meprobamate, carbamazepine, and phenytoin. Regul Toxicol Pharmacol 57: 146-156. doi: 10.1016/j.yrtph.2010.02.002
    [76] Kumar A, Xagoraraki I (2010) Pharmaceuticals, personal care products and endocrine-disrupting chemicals in U.S. surface and finished drinking waters: A proposed ranking system. Sci Total Environ 408: 5972-5989.
    [77] Ottmar KJ, Colosi LM, Smith JA (2010) Development and application of a model to estimate wastewater treatment plant prescription pharmaceutical influent loadings and concentrations. Bull Environ Contam Toxicol 84: 507-512. doi: 10.1007/s00128-010-9990-3
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