HUJAN EFEKTIF

Curah Hujan Efektif R80

Desa/Kel. Bohabak I, Kec. Bolangitang Timur, Bolaang Mongondow Utara, Prov. Sulawesi Utara

GPM01D_E12345_N0085

Detail Grid Data Harian

Panjang Data 28 tahun tersedia

R80 Rata-rata 2.88 mm/hari

Reff Padi Rata-rata 2.02 mm/hari

Reff Padi Maksimum 3.94 mm/hari

Metode mengikuti pola modul TRMM hidrologi.net: data setengah bulanan diurutkan, probabilitas Weibull dihitung dengan m/(n+1), R80 diinterpolasi, kemudian hujan efektif padi = 70% × R80 per hari.

Harian Bulanan Hari Hujan Maksimum Tahunan Hujan Efektif

DATA SETENGAH BULANAN

Curah Hujan per Periode I–II

Akumulasi curah hujan setengah bulanan untuk penyusunan ranking probabilitas.

mm/periode

Tahun	Jan		Feb		Mar		Apr		Mei		Jun		Jul		Agu		Sep		Okt		Nov		Des
Tahun	I	II	I	II	I	II	I	II	I	II	I	II	I	II	I	II	I	II	I	II	I	II	I	II
1998	141.21	34.63	1.67	22.60	1.19	16.41	55.91	131.46	165.73	31.54	138.61	97.82	104.18	169.86	88.93	83.95	40.44	133.11	159.66	100.62	229.30	79.57	71.61	220.16
1999	80.85	140.04	117.05	28.39	154.49	150.70	79.38	87.96	134.76	105.18	54.13	142.34	83.94	60.59	28.54	93.49	58.43	42.80	122.38	121.30	147.12	18.92	54.45	71.60
2000	163.80	124.13	137.47	176.28	105.03	63.88	138.85	99.62	69.45	38.10	197.89	183.02	92.27	51.03	74.51	42.99	20.70	87.37	90.66	120.16	75.95	269.64	101.24	163.95
2001	271.09	174.34	249.02	40.07	145.96	76.29	70.94	156.32	62.79	85.24	137.87	113.08	26.55	68.93	41.41	3.09	52.89	129.95	76.55	41.68	167.23	119.15	118.50	100.77
2002	217.25	119.82	54.82	18.56	84.53	64.72	26.69	111.62	109.77	14.32	93.48	63.71	21.35	5.41	13.20	14.33	16.59	7.78	20.49	41.52	46.43	145.80	43.07	61.98
2003	75.60	98.97	145.24	22.45	101.92	202.44	172.41	60.33	198.81	18.08	6.53	58.00	109.76	17.35	3.36	130.65	11.09	95.12	64.38	30.72	23.79	85.71	189.75	162.92
2004	66.46	141.78	106.65	46.76	105.45	37.31	57.37	115.51	211.70	74.75	61.06	20.42	70.72	77.53	28.26	2.83	54.65	32.33	53.10	46.68	54.13	113.43	43.58	62.30
2005	126.09	55.23	157.52	12.98	23.52	140.22	134.28	15.70	158.13	55.60	51.28	112.71	80.62	79.16	4.66	64.31	32.36	59.78	158.52	143.94	157.95	52.78	150.30	80.14
2006	143.63	96.33	131.93	102.04	65.31	94.39	61.88	151.79	81.10	86.83	110.04	178.69	12.74	34.77	24.47	2.76	16.06	75.29	7.41	12.35	44.61	100.33	44.70	102.69
2007	219.82	92.18	178.41	18.81	31.72	99.16	3.11	144.62	150.84	56.55	109.10	140.47	17.96	97.18	43.09	65.39	83.67	40.86	28.29	49.08	118.69	59.19	64.10	333.22
2008	104.33	165.90	61.20	86.97	157.98	205.90	145.11	154.68	85.72	43.68	203.14	19.95	148.98	195.52	94.41	123.04	74.38	69.78	97.38	172.11	107.50	193.38	127.79	167.25
2009	143.03	137.54	128.77	74.08	112.12	67.17	107.69	94.84	34.46	189.67	88.38	56.23	47.29	39.11	17.84	45.74	2.21	24.68	64.01	9.42	99.53	179.76	15.29	88.42
2010	119.00	85.69	12.95	149.97	2.79	46.22	175.51	65.63	283.79	105.15	156.46	136.01	64.05	190.45	125.89	108.38	181.29	109.38	132.00	101.36	72.49	49.24	228.65	92.32
2011	73.64	100.57	121.66	214.26	158.55	184.57	107.51	69.71	68.91	103.83	224.79	22.97	45.12	26.80	22.85	29.64	73.13	50.39	88.27	80.18	63.46	73.88	100.33	272.82
2012	105.88	88.80	55.65	100.35	152.49	73.18	170.52	103.17	120.72	47.80	154.67	59.21	156.03	111.88	8.38	206.37	71.84	70.55	44.32	129.95	299.90	127.33	63.73	169.43
2013	90.04	183.68	95.96	110.90	69.32	34.52	142.91	118.08	131.25	116.14	65.62	77.98	117.35	158.35	123.17	87.46	74.13	45.11	37.95	144.24	71.86	84.10	23.52	176.35
2014	207.81	60.89	48.37	22.33	4.91	147.36	58.89	110.68	46.00	132.07	97.09	49.41	47.38	43.43	55.02	68.07	42.41	0.09	0.00	65.82	219.13	84.93	121.43	180.93
2015	125.71	76.44	87.94	50.95	10.61	30.25	36.15	42.48	141.34	35.43	98.28	68.90	2.24	73.38	9.69	0.10	1.77	0.04	0.00	54.39	155.72	79.08	31.02	74.49
2016	34.07	100.40	5.36	61.40	11.80	5.27	30.97	67.09	126.07	145.92	82.36	180.56	47.25	118.30	42.66	11.89	88.70	147.12	137.41	128.26	94.67	102.92	186.45	124.38
2017	130.05	162.23	151.62	69.15	115.33	124.90	120.56	73.75	177.79	105.02	201.45	107.04	110.88	109.46	75.23	94.06	87.41	83.36	111.26	83.45	105.70	117.36	60.47	40.49
2018	141.96	185.99	154.15	48.86	68.57	120.25	77.09	301.69	34.67	118.49	100.99	58.32	87.74	35.37	46.09	26.39	25.19	30.75	80.66	42.49	119.30	62.08	134.53	126.37
2019	224.75	121.35	81.20	5.69	33.41	27.03	24.45	246.89	33.45	38.94	145.40	13.77	80.91	30.39	11.66	3.48	0.29	28.06	57.36	79.13	64.80	26.84	80.70	81.59
2020	147.24	10.63	133.84	27.52	222.37	58.19	7.72	177.78	31.57	127.18	103.28	175.13	176.50	122.24	116.02	27.77	214.82	127.80	226.64	64.60	38.29	90.93	100.52	200.82
2021	151.31	202.17	126.07	74.93	52.83	131.67	82.14	106.04	122.88	200.78	97.88	58.57	107.51	106.77	108.97	74.50	230.46	104.51	37.17	138.72	153.84	258.57	168.01	113.92
2022	106.21	88.09	80.93	142.91	109.93	203.22	101.85	175.58	252.64	115.81	58.24	109.91	124.16	90.17	86.79	84.00	187.26	71.02	97.68	185.85	166.98	192.42	74.59	92.62
2023	120.92	183.85	139.94	122.76	94.61	73.52	118.14	64.20	56.52	102.92	70.39	122.80	93.66	15.93	23.14	43.54	56.45	11.04	0.94	18.11	73.78	149.28	99.58	61.02
2024	101.77	146.56	118.04	13.23	181.49	36.32	141.62	82.67	112.42	152.14	200.51	128.50	292.49	33.37	102.20	169.24	12.26	59.95	96.26	95.11	46.02	146.89	101.75	88.59
2025	85.32	244.02	104.71	96.92	214.61	245.32	163.84	181.99	76.08	110.43	128.77	143.70	123.62	31.46	92.54	127.31	147.44	76.30	–	–	–	–	–	–

HASIL R80

Ringkasan R80 dan Hujan Efektif

Nilai ditampilkan untuk periode I dan II setiap bulan.

Parameter	Jan I	Jan II	Feb I	Feb II	Mar I	Mar II	Apr I	Apr II	Mei I	Mei II	Jun I	Jun II	Jul I	Jul II	Agu I	Agu II	Sep I	Sep II	Okt I	Okt II	Nov I	Nov II	Des I	Des II
R80mm/periode	84.43	83.84	55.48	21.62	21.17	35.96	35.11	66.80	54.42	38.77	64.70	54.87	41.40	31.25	12.89	10.20	15.30	27.38	25.17	41.61	51.05	60.92	44.25	73.33
R80mm/hari	5.63	5.24	3.96	1.54	1.41	2.25	2.34	4.45	3.63	2.42	4.31	3.66	2.76	1.95	0.86	0.64	1.02	1.83	1.68	2.60	3.40	4.06	2.95	4.58
Reff Padimm/hari	3.94	3.67	2.77	1.08	0.99	1.57	1.64	3.12	2.54	1.70	3.02	2.56	1.93	1.37	0.60	0.45	0.71	1.28	1.17	1.82	2.38	2.84	2.06	3.21

R80

INTERPRETASI

Nilai R80 menggambarkan curah hujan yang dapat diandalkan pada probabilitas 80%. Hujan efektif padi pada modul ini dihitung sebesar 70% dari R80 harian dan dapat digunakan sebagai input awal analisis kebutuhan air irigasi dengan tetap memperhatikan metode desain dan data lapangan yang digunakan pada studi.