Suitability of Watershed Models to Predict Distributed Hydrologic Response in the Awramba Watershed in Lake Tana Basin

被引:22
作者
Moges, Mamaru A. [1 ,2 ]
Schmitter, Petra [3 ]
Tilahun, Seifu A. [1 ]
Langan, Simon [3 ]
Dagnew, Dessalegn C. [2 ]
Akale, Adugnaw T. [2 ]
Steenhuis, Tammo S. [1 ,4 ,5 ]
机构
[1] Bahir Dar Univ, Bahir Dar Inst Technol, Fac Civil & Water Resources Engn, Bahir Dar, Ethiopia
[2] Bahir Dar Univ, Bahir Dar Inst Technol, PhD Program Integrated Water Management, Bahir Dar, Ethiopia
[3] IWMI, East Africa & Nile Basin Off, Addis Ababa, Ethiopia
[4] Cornell Univ, Dept Biol, Ithaca, NY 14853 USA
[5] Cornell Univ, Dept Environm Engn, Ithaca, NY 14853 USA
基金
美国农业部;
关键词
catchment hydrology; distributed hydrology modeling; land degradation; saturation excess; Lake Tana basin; BLUE NILE BASIN; LAND-USE CHANGES; RUNOFF PROCESSES; CLIMATE-CHANGE; SOUTH-AFRICA; RAINFALL; CATCHMENT; SEDIMENT; DEGRADATION; EROSION;
D O I
10.1002/ldr.2608
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Planning effective landscape interventions is an important tool to fight against land degradation and requires knowledge on spatial distribution of runoff. The objective of this paper was to test models that predict temporal and spatial distribution of runoff. The selected models were parameter-efficient semi-distributed watershed model (PED-WM), Hydrologiska Byrans Vattenbalansavdelning integrated hydrological modeling system (HBV-IHMS), and Soil and Water Assessment Tool (SWAT). We choose 7-km(2) Awramba watershed in the Lake Tana basin with detailed hydrological information for testing these models. Discharge at the outlet, rainfall, and distributed information on infiltration rates, water table, and extent of the saturated area were collected from 2013 to 2015. The maximum saturated area was 65% of the watershed. Infiltration rates exceeded rainfall intensities 91% of the time. Hence, saturation excess runoff was the main runoff mechanism. Models were calibrated for the rainy seasons in 2013 and 2014 and validated for 2015. For daily flow validation, the PED-WM model (Nash-Sutcliff efficiency, NSE=061) outperformed HBV-IHMS (NSE=051) and SWAT (NSE=048). Performance on monthly time step was similar. Difference in model behavior depended on runoff mechanism. In PED-WM, saturation excess is the main direct runoff process and could predict the maximum extent of the saturated area closely at 69%. HBV-IHMS model runoff simulation depended on soil moisture status and evapotranspiration, and hence was able to simulate saturation excess flow but not the extent of the saturated area. SWAT, where infiltration excess is the main runoff mechanism, could only predict the monthly discharges well. This study shows that prevailing runoff mechanisms and distribution of runoff source areas should be used for proper model selection. Copyright (c) 2016 John Wiley & Sons, Ltd.
引用
收藏
页码:1386 / 1397
页数:12
相关论文
共 88 条
[1]   Identifying hydrologically sensitive areas:: Bridging the gap between science and application [J].
Agnew, LJ ;
Lyon, SW ;
Gérard-Marchant, P ;
Collins, VB ;
Lembo, AJ ;
Steenhuis, TS ;
Walter, MT .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2006, 78 (01) :63-76
[2]   Sediment balances in the Blue Nile River Basin [J].
Ali, Yasir S. A. ;
Crosato, Alessandra ;
Mohamed, Yasir A. ;
Abdalla, Seifeldin H. ;
Wright, Nigel G. .
INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH, 2014, 29 (03) :316-328
[3]   Toward a generalization of the TOPMODEL concepts: Topographic indices of hydrological similarity [J].
Ambroise, B ;
Beven, K ;
Freer, J .
WATER RESOURCES RESEARCH, 1996, 32 (07) :2135-2145
[4]  
[Anonymous], ENERG CONVERS MANAGE, DOI DOI 10.1016/J.ENCONMAN.2015.11.063
[5]  
[Anonymous], 1980, CREAMS FIELD SCALE M
[6]   Rainfall-runoff modelling using artificial neural networks technique: a Blue Nile catchment case study [J].
Antar, MA ;
Elassiouti, I ;
Allam, MN .
HYDROLOGICAL PROCESSES, 2006, 20 (05) :1201-1216
[7]   Large area hydrologic modeling and assessment - Part 1: Model development [J].
Arnold, JG ;
Srinivasan, R ;
Muttiah, RS ;
Williams, JR .
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 1998, 34 (01) :73-89
[8]   Farmers' Perception of Land Degradation and Traditional Knowledge in Southern EthiopiaResilience and Stability [J].
Assefa, Engdawork ;
Hans-Rudolf, Bork .
LAND DEGRADATION & DEVELOPMENT, 2016, 27 (06) :1552-1561
[9]   PROJECTED CHANGES IN SOIL ORGANIC CARBON STOCKS UPON ADOPTION OF RECOMMENDED SOIL AND WATER CONSERVATION PRACTICES IN THE UPPER TANA RIVER CATCHMENT, KENYA [J].
Batjes, N. H. .
LAND DEGRADATION & DEVELOPMENT, 2014, 25 (03) :278-287
[10]   Are runoff processes ecologically or topographically driven in the (sub) humid Ethiopian highlands? The case of the Maybar watershed [J].
Bayabil, Haimanote K. ;
Tilahun, Seifu A. ;
Collick, Amy S. ;
Yitaferu, Birru ;
Steenhuis, Tammo S. .
ECOHYDROLOGY, 2010, 3 (04) :457-466