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Socio-Environmental Vulnerability of Water in the Estuary of the Metropolitan Region of Santos (Brazil) Cover

Socio-Environmental Vulnerability of Water in the Estuary of the Metropolitan Region of Santos (Brazil)

Open Access
|Dec 2021

Figures & Tables

Fig. 1

Location of the SSEC area. Red polygons limit areas of high vulnerability; cyan markers show localities of six water sample collection points (3 in Santos (ST1-3) and 3 in São Vicente (SV1-3)); orange lines represent artificial drainage canals; yellow markers define natural channels entry to the estuary in the municipalities of Santos (ST) and São Vicente (SV).

Source: Google Earth, adapted by the author, 2018.

SSEC – Santos and São Vicente Estuarine Complex.

Table 1

Housing growth clusters (GAGRNH) and territorial (GAGRm2).

TypeGrowth clusters
Dwellings (GAGRNH)Territorial (GAGRm2)Features
1++Invasions and reinvasions
2+Verticalisation and densification
3+Demobilisation and pre-invasion
4Demobilisation

[i] GAGR – geometric annual growth rate; GAGRNH – geometric rate of annual growth of the population in non-conforming housing.

Table 2

Identification of the channels of Santos and São Vicente and collection points in SSEC.

CountyCoordinates (UTM)Distance from mouth of Santos (km)Distance from mouth of São Vicente (km)
st1369,107 E7,347,706 S3.131.9
st2367,145 E7,350,411 S6.231.8
st3366,363 E7,353,172 S9.026.0
sv3355,832 E7,347,793 S21.413.6
sv2355,575 E7,349,873 S27.37.7
sv1358,418 E7,352,163 S29.75.3

[i] Source: Google Earth, adapted by the author, 2018.

Table 3

Formal and non-conforming population (NH) between 2005 and 2018 in SAG municipalities.

Population (residents)GAGR (% p.a.)NH (AGEM)NH (SABESP)GAGRNH (% p.a.)
2005201420182005/20182005/2014200520182005/2018
Santos418,610423,779432,9570.260.148,01815,7325.32
Cubatão113,271123,785129,7601.050.998,6202,935−7.95
São Vicente317,459346,492363,1731.040.988,99229,0799.45
Guarujá276,945303,397318,1071.071.0219,30039,3455.63
SAG1,126,2851,197,5011,243,9970.770.6830,58162,0905.60
BSMR1,567,5811,750,9901,848,6541.281.2454,343116,9416.07

[i] GAGR – geometric annual growth rate; GAGRNH – geometric rate of annual growth of the population in non-conforming housing; NH – non-conforming housing; p.a. – per year; SAG – study area group; BSMR- Baixada Santista Metropolitan Region.

[ii] Source: IBGE 2018.

Table 4

Housing and territorial growth clusters.

TypeNHm2Qty VNGAGRNH (% p.a.)GAGRm2 (% p.a.)
1++518.945.73
2+127.25−1.94
3+3−3.011.47
48−4.54−8.48
SAG745.600.09
BSMR5996.07(*)

BSMR – Baixada Santista Metropolitan Region; GAGR – geometric annual growth rate; GAGRNH – geometric rate of annual growth of the population in non-conforming housing; NH – non-conforming housing; p.a. – per year; SAG – study area group; VN – vulnerable nuclei.

Source: AGEM (2015); Annex A, adapted by the author, 2018.

(*) not available.

Table 5

Number of VNs in growth clusters, housing and territorial growth rates correlated with collection points.

Clusterst1st2st3sv3sv2sv1
1 (+/+)14281638
2 (+/−)312312
3 (−/+)21
4 (−/−)3311
NH (2005)9,1701,9863,4716,8883,3085,758
NH (2018)15,1724,8465,01220,6333,65912,768
GAGRNH3.95% p.a.7.10% p.a.2.87% p.a.8.81% p.a.0.78% p.a.6.32% p.a.
New invasions4041125

[i] GAGR – geometric annual growth rate; GAGRNH – geometric rate of annual growth of the population in non-conforming housing; NH – non-conforming housing; p.a. – per year.

[ii] Source: Annex A, adapted by the author, 2018.

Table 6

Sewage flow and PL released in SSEC in 2005 and 2018.

CountyIN051 (m3 · month−1)IN053 (m3 · month−1)Total (m3 · month−1)HD Number of irregular dwellingsFlow rate (m3 · month−1)Polluting load (tonnes · month−1)
200520182005201820052018
Cubatão1720375,6742,93590,78486,8762019
Guarujá22214312,81822,887215,342787,31347170
Santos845533,8267,275137,736308,4603067
São Vicente1919388,26329,042125,598882,87727191
SAG16264230,58162,090636,0852,086,224137451
BSMR11183054,343116,941782,5392,806,584169606

[i] BSMR – Baixada Santista Metropolitan Region; PL – pollutant load; SAG – study area group.

[ii] Source: AGEM 2015; Sperling 2014; SNIS 2017; Annex B, adapted by the author, 2018.

Table 7

Water quality measurements in non-conformity (“1” in yellow cells) with CONAMA 357.

Year2011201120112011201120112011201120112011201120112011
Station-Seasonst1-Sst1-Wst2-Sst2-Wst3-Sst3-Wsv1-Ssv1-Wsv2-Ssv2-Wsv3-Ssv3-WTotal
DO111111118
PTOTAL111111118
NH411111117
TOC1111111119
Ecotox.0
Chlorophyll11
Enterococcus1111111119
Total 201133435313346442
Year2017201720172017201720172017201720172017201720172017
Station-Seasonst1-Sst1-Wst2-Sst2-Wst3-Sst3-Wsv1-Ssv1-Wsv2-Ssv2-Wsv3-Ssv3-WTotal
DO1111116
PTOTAL11111111111112
NH411111117
TOC111111111110
Ecotox.11111111111112
Chlorophyll1113
Enterococcus1111116
Total 201753536364637556

[i] DO – dissolved oxygen; NH4 – ammonia nitrogen; PTOTAL – total phosphorus; S – summer; TOC – total organic carbon; W – winter; Ecotox. (Vibrio ficheri), Chlorophyll A, and Enterococcus.

Table 8

Concentration of total coliforms in waterways urban effluent to beaches.

County20052017
Cubatão (*)101101
Guarujá (*)to103 to 105
Santos (*)104 to 105103 to 106
São Vicente (*)104 to 105103 to 106
Bertioga103103 to 104
Mongaguá103 to 104103
Itanhaém103 to 104103
Praia Grande104 to 105103 to 106
Peruíbe102 to 103103 to 104

Source: CETESB 2017, adapted by the author, 2018.

(*) Municipality contemplated in SAG.

IdUTM (E;S)CountyVNArea – 2005 (m2)HD 2005Area – 2018 (m2)HD 2018GAGRNH (%/a.a)GAGRm2 (%/a.a)
1352,171; 7,355,944CubatãoVila Esperança655,7002,534827,9791,342−4.77%1.81%
2354,036; 7,356,544CubatãoCosta Muniz177,50040158,8480−100.00%−8.14%
3357,356; 7,353,247CubatãoV, Pescadores2,877,1001,520282,1431,064−2.71%−16.36%
4351,666; 7,358,099CubatãoPinhal do Miranda289,9001,118178,154204−12.27%−3.68%
5355,328; 7,358,445CubatãoBeira Rio008,555401.43%1.43%
6353,475; 7357,148CubatãoVila Noel0036,2191611.43%1.43%
7354,069; 7,352,270CubatãoIlha Caraguata (*)25,20010123,0161241.59%−0.69%
8351,701; 7,354,366CubatãoVale Novo0033,977701.43%1.43%
9371,803; 7,347,426GuarujáMorro da Cachoeira47,600113118,22487917.09%7.25%
10372,895; 7,348,238GuarujáV, Edna/Selma (*)141,5001,025330,4421,6313.64%6.74%
11372,663; 7,347,696GuarujáVila Zilda (*)152,300692187,9999522.48%1.63%
12371,578; 7,347,426GuarujáCachoeira (*)333,0002,574354,1862,094−1.58%0.48%
13367,440; 7,345,505GuarujáS,C,Navegantes (*)200,000867216,4341,2682.97%0.61%
14369,025; 7,345,200GuarujáV,Ligia (*)88,000746135,8238751.23%3.39%
15369,541; 7,346,461GuarujáVila Funchal I e II0018,1571741.43%1.43%
16370,508, 7,346,983GuarujáMangue Seco I e II54,70022061,6683714.10%0.93%
17369,809; 7,344,955GuarujáLAS PALMAS28,70051117,17928614.18%11.43%
18369,250 ; 7,347,791GuarujáSitio Conceiçãozinha251,7001,083216,7802,8657.77%−1.14%
19369,150; 7,353,976GuarujáMonte Cabrão56,3007036,636740.43%−3.25%
20366,852; 7,354,530GuarujáIlha Diana (Santos)18,5005424,593984.69%2.21%
21366,926; 7,351,960GuarujáSantense6,600432,063905.85%−8.56%
22366,272; 7,345,243GuarujáPraia do Góes34,7007234,04425510.22%−0.15%
23372,238; 7347,471GuarujáM,Engenho (*)200,80072496,7177750.53%−5.46%
24367,237; 7,350,687GuarujáPrainha (*)344,7001,394427,6724,0438.54%1.67%
25367,737; 7,350,122GuarujáMarezinha (*)104,800549108,8537132.03%0.29%
26369,250; 7,352,352GuarujáVargea Gde (*)0055,7481411.43%1.43%
27368,724; 7,352,046GuarujáFavela do Caixão55,80051949,6971,5939.01%−0.89%
28369,457; 7,352,130GuarujáSanta Madalena50,10029519,85069−10.57%−6.87%
29369,076; 7,351,376GuarujáVila do Padre14,50011230,85171−3.45%5.98%
30369,183; 7,351,072GuarujáAtlântica0089,5733441.43%1.43%
31369,411; 7,350,801GuarujáÁrea Verde0064,1917571.43%1.43%
32369,498; 7,350,937GuarujáN,Republica (*)30,40018974,2433304.38%7.11%
33369,721; 7,350,436GuarujáT, Acaraú (*)41,800183114,7353625.39%8.08%
34369,892; 7,350,251GuarujáChaparral (*)87,00051986,6345460.39%−0.03%
35370,162; 7,349,928GuarujáRepública0044,8082571.43%1.43%
36370,005; 7,349,703GuarujáRubro Negro0015,414801.43%1.43%
37372,238; 7347,471GuarujáM,Engenho (*)200,80072496,7177750.53%−5.46%
38358,191; 7,353,923SantosV, Criadores (*)52,50017777,9791780.04%3.09%
39358,838; 7,351,402SantosV,Gilda (*)242,7001,249302,8072,5215.55%1.72%
40361,203; 7,352,804SantosV, Alemoa (*)119,900768105,480559−2.41%−0.98%
41360,911; 7,352,779SantosV, Alemoa 2 (*)0095,3104681.43%1.43%
42362,351; 7,352,311SantosS, Maria - gleba I e II186,70045965,966238−4.93%−7.69%
43359,669; 7,352,179SantosIlheu Baixo (*)0054,021741.43%1.43%
44361,615; 7,352,375SantosChico de Paula (*)11,700611,49648−1.83%−14.63%
45361,540; 7,352,251SantosIgreja (*)009,147921.43%1.43%
46361,369; 7,351,767SantosCam,Part, S,Jorge (*)0011,433571.43%1.43%
47361,032; 7,351,226SantosVila Ayrton Senna0010,873711.43%1.43%
48359,203; 7,353,017SantosJd, Bom Retiro (*)0068,120651.43%1.43%
49359,542; 7,352,940SantosLot, S,Manoel (*)00148,8572891.43%1.43%
50363,098; 7,352,460SantosCam, Maria Rosa (*)001,487541.43%1.43%
51363,894; 7,352,491SantosPacheco (*)99,100459201,1611,0106.25%5.60%
52363,119; 7,352,625SantosPenha (*)001,676631.43%1.43%
53362,486; 7352,498SantosPantanal (*)59,10032078,0478197.50%2.16%
54359,313; 7,352,562SantosS,Manoel (*)115,00033381,8956695.51%−2.58%
55358,378; 7,351,880S,VicenteSambaiatuba (*)336,500810319,2374,05013.18%−0.40%
56348,685; 7,345,198S,VicenteFazendinha (*)00843,9622,9471.43%1.43%
57357,551; 7,350,217S,VicenteComeça (b)0015,6898021.43%1.43%
58356,468; 7,347,982S,VicenteMéxico 70 (*)625,4003,216737,0584,7953.12%1.27%
59351,905; 7,347,424S,VicenteQuarentenário Publ,722,5001,522690,6011,178−1.95%−0.35%
60351,149; 7,346,496S,VicenteRio Negro (*)482,900272682,4541,52514.18%2.70%
61352,667; 7,349,766S,VicenteVila Feliz23,10020259,1451,29315.35%7.50%
62359,256; 7,350,595S,VicenteMiau0028,9495981.43%1.43%
63358,756; 7,350,726S,VicenteCharme (a)0063,8382,1241.43%1.43%
64357,122; 7,351,254S,VicenteDq Caixeta (*)181,500814158,8962,6249.42%−1.02%
65357,004; 7,351,005S,VicenteDique do Fátima24,00014929,7561,69020.54%1.67%
66357,182; 7,349,308S,VicenteFepasa (*)24,40016425,1281,09115.69%0.23%
67352,454; 7,350,385S,VicenteV,Nova Mariana (*)36,2009488,22563515.83%7.09%
68358,276, 7,350,041S,VicenteSá Catarina Moraes112,200680122,5381,2614.87%0.68%
69358,441; 7,346,206S,VicenteJapuí0049,5004111.43%1.43%
70358,031; 7,349,821S,VicenteV,S,Bernardo (*)0018,3303391.43%1.43%
71358,378; 7,351,880S,VicenteRio d’Avó61,200340184,4999458.18%8.86%
72360,661; 7,349,014S,VicenteCarrefour (Horto)008,3371161.43%1.43%
73360,991; 7,349,339S,VicenteBananal (Horto)0015,1782511.43%1.43%
74350,670; 7,347,240S,VicenteJd, Rio Branco0071,3703671.43%1.43%
Total – Study area9,885,50029,85710,144,52761,3855.70%0.20%
RMBS54,343116,9416.59%

[i] GAGR – geometric annual growth rate; GAGRNH – geometric rate of annual growth of the population in non-conforming housing; HD – human dwellings; VN – vulnerable nuclei.

[ii] Source: AGEM 2005; SABESP 2018, adapted by the author, 2018.

[iii] Note: (*) VN grouped by two or more occupied areas.

graphic/j_quageo-2021-0040_fig_002.jpg
CityVN (qty)Number of irregular dwellings * (qty)Examples
Bertioga468,525Boraceia
Cubatão82,935Vila Esperança
Guarujá7339,345Cachoeira
Itanhaém294,985Iemanjá
Mongaguá272,910Cachoeira V. São Paulo
Peruibe7658Recreio Santista
Praia Grande5312,772Samambaia
Santos120 + 206 tenements15,732Dq.Vila Gilda, Pantanal
São Vicente3029,079Fazendinha
RMBS599116,941

VN – vulnerable nuclei.

* Number of irregular dwellings = Total number of dwellings in irregular areas − number of active water connections in irregular areas.

DOI: https://doi.org/10.2478/quageo-2021-0040 | Journal eISSN: 2081-6383 | Journal ISSN: 2082-2103 (formerly 0137-477X)
Language: English
Page range: 113 - 125
Submitted on: Oct 31, 2020
Published on: Dec 16, 2021
Published by: Adam Mickiewicz University
In partnership with: Paradigm Publishing Services
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© 2021 Fernando L.C. Martins, Fabio Giordano, Walter Barrella, published by Adam Mickiewicz University
This work is licensed under the Creative Commons Attribution 4.0 License.