Overview

Dataset statistics

Number of variables8
Number of observations462
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.3 KiB
Average record size in memory69.3 B

Variable types

Categorical3
Numeric5

Dataset

Description경상남도 김해시 하천수질 현황에 대한 데이터로 하천명,소재지,생물학적 산소요구량(BOD, mg/L),총유기탄소(TOC, mg/L),부유물질량(SS, mg/L),총 질소(T-N, mg/L),총 인(T-P, mg/L),시료채취일의 정보를 제공하고 있습니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15092533/fileData.do

Alerts

소재지 is highly overall correlated with 하천명High correlation
하천명 is highly overall correlated with 소재지High correlation
생물학적 산소요구량(BOD_L당mg) is highly overall correlated with 총유기탄소(TOC_L당mg) and 2 other fieldsHigh correlation
총유기탄소(TOC_L당mg) is highly overall correlated with 생물학적 산소요구량(BOD_L당mg) and 2 other fieldsHigh correlation
부유물질량(SS_L당mg) is highly overall correlated with 생물학적 산소요구량(BOD_L당mg) and 1 other fieldsHigh correlation
총 인(T-P_L당mg) is highly overall correlated with 생물학적 산소요구량(BOD_L당mg) and 1 other fieldsHigh correlation
총 인(T-P_L당mg) has 11 (2.4%) zerosZeros

Reproduction

Analysis started2024-04-20 16:56:14.956998
Analysis finished2024-04-20 16:56:22.993661
Duration8.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

하천명
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
대청천(상)
 
21
율하천
 
21
대청천(하)
 
21
조만강(중)
 
21
내삼천
 
21
Other values (17)
357 

Length

Max length6
Median length5.5
Mean length4.5909091
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대청천(상)
2nd row율하천
3rd row대청천(하)
4th row조만강(중)
5th row내삼천

Common Values

ValueCountFrequency (%)
대청천(상) 21
 
4.5%
율하천 21
 
4.5%
대청천(하) 21
 
4.5%
조만강(중) 21
 
4.5%
내삼천 21
 
4.5%
유하천 21
 
4.5%
조만강(상) 21
 
4.5%
금천천 21
 
4.5%
화포천(중) 21
 
4.5%
용덕천 21
 
4.5%
Other values (12) 252
54.5%

Length

2024-04-21T01:56:23.214561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대청천(상 21
 
4.5%
율하천 21
 
4.5%
안양천 21
 
4.5%
여차천 21
 
4.5%
내동천 21
 
4.5%
대포천(상 21
 
4.5%
대포천(중 21
 
4.5%
대포천(하 21
 
4.5%
소감천(상 21
 
4.5%
소감천(중 21
 
4.5%
Other values (12) 252
54.5%

소재지
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
경상남도 김해시 대청동 529-8 용두원산장
 
21
경상남도 김해시 상동면 매리 113-1 매리2교
 
21
경상남도 김해시 무계동 10-7 용두마을
 
21
경상남도 김해시 내덕동 610-2 정청교
 
21
경상남도 김해시 주촌면 망덕리 708-3 후포2교
 
21
Other values (18)
357 

Length

Max length29
Median length27
Mean length25.318182
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row경상남도 김해시 대청동 529-8 용두원산장
2nd row경상남도 김해시 율하동 1372-5 신리2교
3rd row경상남도 김해시 무계동 10-7 용두마을
4th row경상남도 김해시 내덕동 610-2 정청교
5th row경상남도 김해시 주촌면 망덕리 708-3 후포2교

Common Values

ValueCountFrequency (%)
경상남도 김해시 대청동 529-8 용두원산장 21
 
4.5%
경상남도 김해시 상동면 매리 113-1 매리2교 21
 
4.5%
경상남도 김해시 무계동 10-7 용두마을 21
 
4.5%
경상남도 김해시 내덕동 610-2 정청교 21
 
4.5%
경상남도 김해시 주촌면 망덕리 708-3 후포2교 21
 
4.5%
경상남도 김해시 유하동 454-2 유하교 21
 
4.5%
경상남도 김해시 주촌면 천곡리 76-2 천곡교 21
 
4.5%
경상남도 김해시 진영읍 설창리 65-4 설창교 21
 
4.5%
경상남도 김해시 한림면 안하리 868-3 어은교 21
 
4.5%
경상남도 김해시 생림면 생림리 709-2 독점교 21
 
4.5%
Other values (13) 252
54.5%

Length

2024-04-21T01:56:23.604723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상남도 441
 
16.3%
김해시 441
 
16.3%
상동면 168
 
6.2%
생림면 63
 
2.3%
매리 63
 
2.3%
앞 42
 
1.6%
주촌면 42
 
1.6%
우계리 42
 
1.6%
운하교 21
 
0.8%
1095-1 21
 
0.8%
Other values (66) 1361
50.3%

생물학적 산소요구량(BOD_L당mg)
Real number (ℝ)

HIGH CORRELATION 

Distinct60
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6069264
Minimum0.1
Maximum9.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-21T01:56:23.998133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.3
Q10.6
median1.2
Q32
95-th percentile4.69
Maximum9.8
Range9.7
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation1.4421587
Coefficient of variation (CV)0.89746407
Kurtosis6.3903251
Mean1.6069264
Median Absolute Deviation (MAD)0.6
Skewness2.2478885
Sum742.4
Variance2.0798218
MonotonicityNot monotonic
2024-04-21T01:56:24.454259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6 42
 
9.1%
0.9 27
 
5.8%
0.4 26
 
5.6%
0.5 25
 
5.4%
0.8 23
 
5.0%
0.7 23
 
5.0%
1.5 19
 
4.1%
1.0 19
 
4.1%
1.2 17
 
3.7%
1.4 17
 
3.7%
Other values (50) 224
48.5%
ValueCountFrequency (%)
0.1 3
 
0.6%
0.2 8
 
1.7%
0.3 16
 
3.5%
0.4 26
5.6%
0.5 25
5.4%
0.6 42
9.1%
0.7 23
5.0%
0.8 23
5.0%
0.9 27
5.8%
1.0 19
4.1%
ValueCountFrequency (%)
9.8 1
 
0.2%
9.0 1
 
0.2%
7.8 1
 
0.2%
7.5 2
0.4%
6.9 2
0.4%
6.8 1
 
0.2%
6.5 1
 
0.2%
6.3 1
 
0.2%
5.9 1
 
0.2%
5.8 3
0.6%

총유기탄소(TOC_L당mg)
Real number (ℝ)

HIGH CORRELATION 

Distinct92
Distinct (%)19.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8160173
Minimum0.3
Maximum16.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-21T01:56:24.862714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile1.1
Q12.1
median3.3
Q35
95-th percentile8.185
Maximum16.5
Range16.2
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation2.4078241
Coefficient of variation (CV)0.6309783
Kurtosis4.4248017
Mean3.8160173
Median Absolute Deviation (MAD)1.4
Skewness1.6404645
Sum1763
Variance5.7976171
MonotonicityNot monotonic
2024-04-21T01:56:25.307366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.0 14
 
3.0%
2.4 13
 
2.8%
1.7 13
 
2.8%
3.4 12
 
2.6%
3.1 12
 
2.6%
2.1 12
 
2.6%
2.0 12
 
2.6%
2.7 11
 
2.4%
4.6 10
 
2.2%
2.5 10
 
2.2%
Other values (82) 343
74.2%
ValueCountFrequency (%)
0.3 1
 
0.2%
0.4 1
 
0.2%
0.5 1
 
0.2%
0.6 3
 
0.6%
0.8 5
1.1%
0.9 4
0.9%
1.0 7
1.5%
1.1 9
1.9%
1.2 9
1.9%
1.3 6
1.3%
ValueCountFrequency (%)
16.5 1
0.2%
16.3 1
0.2%
13.8 1
0.2%
13.6 1
0.2%
13.3 1
0.2%
12.5 1
0.2%
11.8 1
0.2%
11.0 1
0.2%
10.5 1
0.2%
10.2 1
0.2%

부유물질량(SS_L당mg)
Real number (ℝ)

HIGH CORRELATION 

Distinct109
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.547684
Minimum0.1
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-21T01:56:25.731439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.2
Q11.6
median3.6
Q38.8
95-th percentile20.76
Maximum124
Range123.9
Interquartile range (IQR)7.2

Descriptive statistics

Standard deviation9.3857503
Coefficient of variation (CV)1.4334458
Kurtosis61.979162
Mean6.547684
Median Absolute Deviation (MAD)2.6
Skewness6.0658768
Sum3025.03
Variance88.092309
MonotonicityNot monotonic
2024-04-21T01:56:26.181749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2 27
 
5.8%
1.0 20
 
4.3%
1.6 18
 
3.9%
4.0 17
 
3.7%
2.4 16
 
3.5%
2.0 16
 
3.5%
1.2 13
 
2.8%
0.6 13
 
2.8%
2.8 13
 
2.8%
0.4 12
 
2.6%
Other values (99) 297
64.3%
ValueCountFrequency (%)
0.1 5
 
1.1%
0.2 27
5.8%
0.3 4
 
0.9%
0.4 12
2.6%
0.6 13
2.8%
0.7 1
 
0.2%
0.8 11
2.4%
1.0 20
4.3%
1.2 13
2.8%
1.4 5
 
1.1%
ValueCountFrequency (%)
124.0 1
 
0.2%
81.5 1
 
0.2%
45.0 1
 
0.2%
44.0 1
 
0.2%
34.0 1
 
0.2%
33.6 1
 
0.2%
28.5 1
 
0.2%
27.2 1
 
0.2%
26.5 1
 
0.2%
25.2 3
0.6%

총 질소(T-N_L당mg)
Real number (ℝ)

Distinct294
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7314848
Minimum0.29
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-21T01:56:26.603454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.29
5-th percentile0.73
Q11.7125
median2.51
Q33.3975
95-th percentile5.486
Maximum21
Range20.71
Interquartile range (IQR)1.685

Descriptive statistics

Standard deviation1.7062379
Coefficient of variation (CV)0.62465583
Kurtosis30.327555
Mean2.7314848
Median Absolute Deviation (MAD)0.86
Skewness3.6145792
Sum1261.946
Variance2.9112479
MonotonicityNot monotonic
2024-04-21T01:56:27.026770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.37 5
 
1.1%
2.07 4
 
0.9%
2.46 4
 
0.9%
2.6 4
 
0.9%
2.72 4
 
0.9%
3.22 4
 
0.9%
2.37 4
 
0.9%
1.64 4
 
0.9%
2.71 4
 
0.9%
3.54 3
 
0.6%
Other values (284) 422
91.3%
ValueCountFrequency (%)
0.29 1
0.2%
0.47 1
0.2%
0.48 1
0.2%
0.5 1
0.2%
0.51 1
0.2%
0.52 1
0.2%
0.53 1
0.2%
0.57 1
0.2%
0.58 1
0.2%
0.6 2
0.4%
ValueCountFrequency (%)
21.0 1
0.2%
11.89 1
0.2%
10.14 1
0.2%
8.96 1
0.2%
7.97 1
0.2%
7.39 1
0.2%
7.14 1
0.2%
7.05 1
0.2%
6.94 1
0.2%
6.69 1
0.2%

총 인(T-P_L당mg)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct131
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.057242424
Minimum0
Maximum1.808
Zeros11
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-21T01:56:27.429832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.005
Q10.018
median0.03
Q30.06275
95-th percentile0.17395
Maximum1.808
Range1.808
Interquartile range (IQR)0.04475

Descriptive statistics

Standard deviation0.11715998
Coefficient of variation (CV)2.0467334
Kurtosis136.20713
Mean0.057242424
Median Absolute Deviation (MAD)0.018
Skewness10.316575
Sum26.446
Variance0.013726462
MonotonicityNot monotonic
2024-04-21T01:56:27.883364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02 15
 
3.2%
0.021 12
 
2.6%
0.018 12
 
2.6%
0.027 12
 
2.6%
0.0 11
 
2.4%
0.024 11
 
2.4%
0.01 11
 
2.4%
0.006 10
 
2.2%
0.016 10
 
2.2%
0.019 10
 
2.2%
Other values (121) 348
75.3%
ValueCountFrequency (%)
0.0 11
2.4%
0.003 2
 
0.4%
0.004 5
1.1%
0.005 9
1.9%
0.006 10
2.2%
0.007 4
 
0.9%
0.008 9
1.9%
0.009 5
1.1%
0.01 11
2.4%
0.011 3
 
0.6%
ValueCountFrequency (%)
1.808 1
0.2%
1.308 1
0.2%
0.501 1
0.2%
0.365 1
0.2%
0.358 1
0.2%
0.354 1
0.2%
0.343 1
0.2%
0.336 1
0.2%
0.32 1
0.2%
0.277 1
0.2%

시료채취일
Categorical

Distinct42
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2021-09-02
 
11
2022-01-27
 
11
2022-06-14
 
11
2021-10-07
 
11
2021-10-28
 
11
Other values (37)
407 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-09-02
2nd row2021-09-02
3rd row2021-09-02
4th row2021-09-02
5th row2021-09-02

Common Values

ValueCountFrequency (%)
2021-09-02 11
 
2.4%
2022-01-27 11
 
2.4%
2022-06-14 11
 
2.4%
2021-10-07 11
 
2.4%
2021-10-28 11
 
2.4%
2021-11-04 11
 
2.4%
2021-11-25 11
 
2.4%
2021-12-02 11
 
2.4%
2021-12-16 11
 
2.4%
2022-01-20 11
 
2.4%
Other values (32) 352
76.2%

Length

2024-04-21T01:56:28.301518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-09-02 11
 
2.4%
2022-12-01 11
 
2.4%
2023-05-03 11
 
2.4%
2022-08-18 11
 
2.4%
2022-09-16 11
 
2.4%
2022-09-22 11
 
2.4%
2022-10-06 11
 
2.4%
2022-10-18 11
 
2.4%
2022-11-03 11
 
2.4%
2022-11-17 11
 
2.4%
Other values (32) 352
76.2%

Interactions

2024-04-21T01:56:20.984789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:15.629262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:16.905813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:18.231649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:19.732579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:21.240630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:15.875596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:17.162975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:18.482434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:19.977873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:21.516866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:16.140978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:17.440106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:18.965374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:20.241791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:21.780470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:16.396922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:17.705383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:19.219703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:20.491915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:22.035021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:16.641009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:17.956050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:19.466247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:56:20.726033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T01:56:28.529865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
하천명소재지생물학적 산소요구량(BOD_L당mg)총유기탄소(TOC_L당mg)부유물질량(SS_L당mg)총 질소(T-N_L당mg)총 인(T-P_L당mg)시료채취일
하천명1.0001.0000.6040.7030.3470.5990.3820.000
소재지1.0001.0000.6750.7490.3430.5910.3860.000
생물학적 산소요구량(BOD_L당mg)0.6040.6751.0000.6860.4320.1380.3150.296
총유기탄소(TOC_L당mg)0.7030.7490.6861.0000.2870.1650.7060.373
부유물질량(SS_L당mg)0.3470.3430.4320.2871.0000.0000.2060.290
총 질소(T-N_L당mg)0.5990.5910.1380.1650.0001.0000.0000.388
총 인(T-P_L당mg)0.3820.3860.3150.7060.2060.0001.0000.000
시료채취일0.0000.0000.2960.3730.2900.3880.0001.000
2024-04-21T01:56:29.045858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지시료채취일하천명
소재지1.0000.0000.999
시료채취일0.0001.0000.000
하천명0.9990.0001.000
2024-04-21T01:56:29.302616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
생물학적 산소요구량(BOD_L당mg)총유기탄소(TOC_L당mg)부유물질량(SS_L당mg)총 질소(T-N_L당mg)총 인(T-P_L당mg)하천명소재지시료채취일
생물학적 산소요구량(BOD_L당mg)1.0000.7690.6390.1680.5000.2810.3320.106
총유기탄소(TOC_L당mg)0.7691.0000.6230.2640.6480.3440.3870.131
부유물질량(SS_L당mg)0.6390.6231.0000.1670.4330.1630.1590.115
총 질소(T-N_L당mg)0.1680.2640.1671.0000.3020.3000.2970.150
총 인(T-P_L당mg)0.5000.6480.4330.3021.0000.1960.1970.000
하천명0.2810.3440.1630.3000.1961.0000.9990.000
소재지0.3320.3870.1590.2970.1970.9991.0000.000
시료채취일0.1060.1310.1150.1500.0000.0000.0001.000

Missing values

2024-04-21T01:56:22.397419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T01:56:22.823200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

하천명소재지생물학적 산소요구량(BOD_L당mg)총유기탄소(TOC_L당mg)부유물질량(SS_L당mg)총 질소(T-N_L당mg)총 인(T-P_L당mg)시료채취일
0대청천(상)경상남도 김해시 대청동 529-8 용두원산장1.21.31.80.50.0092021-09-02
1율하천경상남도 김해시 율하동 1372-5 신리2교0.82.45.60.980.0242021-09-02
2대청천(하)경상남도 김해시 무계동 10-7 용두마을1.12.06.20.820.0242021-09-02
3조만강(중)경상남도 김해시 내덕동 610-2 정청교2.14.614.41.970.0782021-09-02
4내삼천경상남도 김해시 주촌면 망덕리 708-3 후포2교2.05.44.83.730.0462021-09-02
5유하천경상남도 김해시 유하동 454-2 유하교2.03.49.42.470.1882021-09-02
6조만강(상)경상남도 김해시 주촌면 천곡리 76-2 천곡교1.44.616.42.710.1122021-09-02
7금천천부산광역시 강서구 식만동 574-17 식만교3.86.133.61.411.8082021-09-02
8화포천(중)경상남도 김해시 진영읍 설창리 65-4 설창교3.15.023.62.150.112021-09-02
9용덕천경상남도 김해시 한림면 안하리 868-3 어은교1.85.014.45.160.1342021-09-02
하천명소재지생물학적 산소요구량(BOD_L당mg)총유기탄소(TOC_L당mg)부유물질량(SS_L당mg)총 질소(T-N_L당mg)총 인(T-P_L당mg)시료채취일
452소감천(하)경상남도 김해시 상동면 매리 113-1 매리2교2.24.25.02.080.022023-05-23
453소감천(중)경상남도 김해시 상동면 매리 1095-1 쌍용양회 앞1.62.18.82.720.0182023-05-23
454소감천(상)경상남도 김해시 상동면 매리 477-4 동양산업1.11.41.83.090.0192023-05-23
455대포천(하)경상남도 김해시 상동면 대감리 1190-26 봉암교1.52.74.02.560.0192023-05-23
456대포천(중)경상남도 김해시 상동면 우계리 303 소락2교1.52.96.42.640.0182023-05-23
457대포천(상)경상남도 김해시 상동면 우계리 737-2 우계교0.72.20.62.360.0292023-05-23
458내동천경상남도 김해시 상동면 묵방리 산 9-5 만포가든 앞0.71.41.00.70.022023-05-23
459여차천경상남도 김해시 상동면 여차리 319 용산교1.22.16.22.50.0212023-05-23
460안양천경상남도 김해시 생림면 안양리 1104 안양천2.87.019.54.110.0222023-05-23
461마사소하천경상남도 김해시 생림면 마사리 546-2 낙동철교5.510.09.03.890.2582023-05-23