HUJAN EFEKTIF

Curah Hujan Efektif R80

Desa/Kel. Seuneubok Bayu, Kec. Indra Makmu, Aceh Timur, Prov. Aceh

GPM01D_E09755_N0485

Detail Grid Data Harian

Panjang Data 28 tahun tersedia

R80 Rata-rata 3.85 mm/hari

Reff Padi Rata-rata 2.70 mm/hari

Reff Padi Maksimum 5.30 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	30.94	40.30	2.26	24.91	16.08	21.39	40.23	21.16	30.85	190.05	104.03	98.10	56.27	202.49	170.56	269.35	173.34	169.76	171.64	214.20	271.33	136.09	178.01	430.24
1999	66.87	481.87	124.03	74.83	124.19	50.92	95.87	101.98	39.09	249.48	123.34	57.73	103.34	33.05	54.01	142.46	79.07	152.83	171.84	197.21	83.47	157.59	349.80	204.21
2000	181.66	53.86	43.78	120.48	86.09	148.92	112.36	115.82	100.86	89.75	94.12	81.35	37.15	96.26	163.90	27.79	202.99	226.52	141.26	155.24	203.59	369.97	23.39	191.74
2001	167.19	178.06	47.50	49.37	122.33	91.21	60.98	122.39	165.26	39.48	103.49	50.40	38.83	130.92	82.95	110.98	188.41	151.63	93.41	310.53	110.66	265.47	92.96	366.92
2002	104.39	114.18	0.11	17.77	11.91	108.62	34.69	166.85	125.92	47.48	164.57	44.99	50.53	58.59	60.84	59.99	152.72	109.95	201.87	96.51	91.32	100.87	77.56	100.70
2003	112.65	107.38	62.76	64.88	21.69	199.94	134.84	58.14	175.30	17.16	42.54	124.99	81.81	130.60	144.09	90.28	81.95	199.34	177.82	131.16	50.20	133.30	271.66	32.16
2004	115.57	27.38	53.82	62.93	66.31	100.25	70.84	138.66	161.00	78.11	96.42	33.25	64.94	153.56	18.35	136.76	166.96	144.11	99.61	158.34	119.26	26.94	168.47	72.12
2005	144.85	77.82	23.90	25.37	23.58	114.61	95.80	26.05	109.76	128.66	83.55	57.98	73.91	118.66	36.57	194.01	71.85	104.98	189.48	200.85	165.56	285.48	297.23	179.14
2006	186.59	8.89	87.00	91.08	4.94	119.89	59.25	135.72	83.73	109.92	128.56	107.63	28.76	143.03	46.68	136.03	107.23	130.63	90.50	137.74	65.10	62.21	103.57	226.19
2007	41.63	28.46	4.87	60.08	67.21	25.61	72.16	90.37	163.58	60.31	112.85	78.47	61.53	207.69	64.67	145.42	89.96	112.49	43.28	333.90	222.27	94.09	273.81	85.74
2008	75.04	41.48	18.69	70.43	67.65	139.95	40.06	100.96	64.26	65.13	70.74	54.87	81.30	125.23	79.65	182.28	129.27	70.48	108.39	179.22	113.47	378.48	355.17	73.68
2009	205.53	17.66	7.27	35.62	148.16	132.28	104.33	44.65	110.86	156.39	54.56	69.33	54.47	52.12	88.78	206.55	62.48	131.76	175.06	73.00	246.40	206.06	238.74	44.36
2010	186.16	86.17	18.97	80.97	91.61	70.86	104.97	70.28	96.04	60.16	125.98	183.79	69.66	84.89	68.00	110.90	137.97	75.62	173.07	142.66	191.87	137.74	218.68	121.01
2011	112.94	82.17	44.40	13.42	61.27	286.37	50.64	74.15	128.00	107.98	95.01	54.23	51.30	86.35	154.21	153.21	102.90	100.52	174.83	205.44	111.29	161.02	182.70	214.65
2012	205.21	76.00	31.10	79.75	107.44	81.21	89.18	57.88	73.47	101.98	41.44	59.38	92.20	83.96	51.59	137.11	70.36	110.64	74.95	156.52	133.86	124.75	197.20	160.71
2013	95.03	139.04	41.62	139.62	61.16	43.27	97.75	99.45	57.90	92.84	74.36	131.50	86.79	31.17	184.51	45.44	156.31	40.56	122.36	192.24	55.97	120.26	255.07	174.10
2014	272.92	0.10	15.97	13.49	83.57	40.59	59.57	15.72	72.23	103.89	98.22	26.99	66.74	78.40	109.29	175.67	181.40	56.15	132.66	122.14	118.93	108.91	74.93	494.62
2015	128.95	42.94	24.31	61.74	3.49	51.55	53.78	65.52	58.72	76.84	152.54	11.60	114.27	58.07	111.51	84.32	118.79	150.97	116.71	119.58	72.04	188.77	108.02	80.57
2016	45.63	175.90	177.32	5.32	21.48	11.11	23.60	38.84	121.46	66.42	101.69	131.66	55.46	144.03	59.60	167.52	95.67	97.75	137.86	171.51	132.16	79.48	166.62	86.09
2017	194.14	162.86	39.92	89.33	49.71	76.64	44.21	58.28	103.56	94.90	85.31	94.55	121.19	38.13	183.20	74.93	187.09	124.32	256.69	57.08	84.93	222.96	353.89	112.46
2018	146.61	70.36	0.16	67.99	31.73	33.85	40.14	133.47	44.55	105.91	24.71	107.95	39.31	169.62	55.32	130.08	71.88	144.57	246.76	169.26	204.01	120.69	140.89	35.63
2019	51.44	74.75	5.88	56.28	7.03	56.66	89.40	56.85	140.58	85.83	149.56	37.08	29.36	82.37	59.11	106.59	95.53	88.26	83.43	206.78	127.75	58.61	217.45	45.84
2020	12.08	22.27	85.98	38.29	44.76	31.46	86.04	159.60	187.93	154.48	110.44	109.74	77.03	141.82	42.61	81.91	153.45	105.69	113.97	137.78	70.96	207.98	299.64	168.12
2021	317.70	35.98	60.78	0.16	59.34	127.11	60.87	112.44	48.43	111.32	89.27	135.74	145.55	66.23	155.47	211.33	77.98	130.90	30.70	283.35	93.18	142.24	64.89	314.98
2022	110.23	61.59	63.77	248.62	105.28	40.72	53.69	38.68	166.09	50.21	190.21	114.87	72.29	59.38	40.40	192.37	74.59	177.58	229.70	233.26	317.16	59.46	278.44	177.63
2023	60.06	207.92	67.99	22.91	88.12	28.05	11.48	65.76	38.46	157.51	141.09	90.92	110.23	42.86	96.26	92.17	95.01	117.11	69.81	165.26	79.96	173.50	223.71	169.94
2024	104.53	118.88	1.77	85.90	21.56	40.45	46.46	107.35	73.16	202.11	137.48	124.39	42.42	30.10	198.58	145.17	136.30	167.53	154.18	100.29	75.93	149.44	155.09	141.07
2025	96.33	162.24	16.31	59.21	92.49	121.32	134.71	105.59	102.39	110.44	97.25	45.10	73.07	20.82	60.49	149.26	139.75	84.48	–	–	–	–	–	–

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	58.33	28.24	5.67	21.88	20.40	33.37	40.21	43.49	56.01	60.28	73.63	45.08	41.80	41.91	50.60	83.84	77.30	87.50	87.67	121.11	74.37	88.25	99.32	73.05
R80mm/hari	3.89	1.77	0.41	1.56	1.36	2.09	2.68	2.90	3.73	3.77	4.91	3.01	2.79	2.62	3.37	5.24	5.15	5.83	5.84	7.57	4.96	5.88	6.62	4.57
Reff Padimm/hari	2.72	1.24	0.28	1.09	0.95	1.46	1.88	2.03	2.61	2.64	3.44	2.10	1.95	1.83	2.36	3.67	3.61	4.08	4.09	5.30	3.47	4.12	4.63	3.20

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.