Performance Evaluation of a Two-Parameters Monthly Rainfall-Runoff Model in the Southern Basin of Thailand
Authors:Ditthakit, PakornPinthong, SirimonSalaeh, NureehanBinnui, FadilahKhwanchum, LaksanaraKuriqi, AlbanKhedher, Khaled MohamedPham, Quoc Bao
Source:WATER
Volume:13
Published:2021
Document Type:Article
Abstract:Accurate monthly runoff estimation is crucial in water resources management, planning, and development, preventing and reducing water-related problems, such as flooding and droughts. This article evaluates the monthly hydrological rainfall-runoff model's performance, the GR2M model, in Thailand's southern basins. The GR2M model requires only two parameters: production store (X-1) and groundwater exchange rate (X-2). Moreover, no prior research has been reported on its application in this region. The 37 runoff stations, which are located in three sub-watersheds of Thailand's southern region, namely; Thale Sap Songkhla, Peninsular-East Coast, and Peninsular-West Coast, were selected as study cases. The available monthly hydrological data of runoff, rainfall, air temperature from the Royal Irrigation Department (RID) and the Thai Meteorological Department (TMD) were collected and analyzed. The Thornthwaite method was utilized for the determination of evapotranspiration. The model's performance was conducted using three statistical indices: Nash-Sutcliffe Efficiency (NSE), Correlation Coefficient (r), and Overall Index (OI). The model's calibration results for 37 runoff stations gave the average NSE, r, and OI of 0.657, 0.825, and 0.757, respectively. Moreover, the NSE, r, and OI values for the model's verification were 0.472, 0.750, and 0.639, respectively. Hence, the GR2M model was qualified and reliable to apply for determining monthly runoff variation in this region. The spatial distribution of production store (X-1) and groundwater exchange rate (X-2) values was conducted using the IDW method. It was susceptible to the X-1, and X-2 values of approximately more than 0.90, gave the higher model's performance.
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Reprint Address:Ditthakit, P (corresponding author), Walailak Univ, Sch Engn & Technol, Nakhon Si Thammarat 80161, Thailand.; Ditthakit, P (corresponding author), Walailak Univ, Ctr Excellence Sustainable Disaster Management, Nakhon Si Thammarat 80161, Thailand.; Pham, QB (corresponding author), Thu Dau Mot Univ, Inst Appl Technol, Binh Duong 75000, Vietnam.
Addresses:[Ditthakit, Pakorn; Pinthong, Sirimon; Salaeh, Nureehan; Binnui, Fadilah] Walailak Univ, Sch Engn & Technol, Nakhon Si Thammarat 80161, Thailand. [Ditthakit, Pakorn; Pinthong, Sirimon; Salaeh, Nureehan; Binnui, Fadilah; Khwanchum, Laksanara] Walailak Univ, Ctr Excellence Sustainable Disaster Management, Nakhon Si Thammarat 80161, Thailand. [Khwanchum, Laksanara] Walailak Univ, Sch Languages & Gen Educ, Nakhon Si Thammarat 80161, Thailand. [Kuriqi, Alban] Univ Lisbon, Inst Super Tecn, CERIS, P-1049001 Lisbon, Portugal. [Khedher, Khaled Mohamed] King Khalid Univ, Dept Civil Engn, Coll Engn, Abha 61421, Saudi Arabia. [Khedher, Khaled Mohamed] Mrezgua Univ Campus, Dept Civil Engn, High Inst Technol Studies, Nabeul 8000, Tunisia. [Pham, Quoc Bao] Thu Dau Mot Univ, Inst Appl Technol, Binh Duong 75000, Vietnam.
E-mail Addresses:dpakorn@mail.wu.ac.th; Sirimon.pi@mail.wu.ac.th; Nureehan.sa@mail.wu.ac.th; Fadilah.bi@mail.wu.ac.th; laksanara.kh@wu.ac.th; alban.kuriqi@tecnico.ulisboa.pt; kkhedher@kku.edu.sa; phambaoquoc@tdmu.edu.vn