Articles | Volume 22, issue 10
https://doi.org/10.5194/hess-22-5357-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/hess-22-5357-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Oct 2018
Research article |
| 18 Oct 2018
| 18 Oct 2018
Spatio-temporal assessment of annual water balance models for upper Ganga Basin
Anoop Kumar Shukla
Department of Civil Engineering, Indian Institute of Technology Roorkee, Uttarakhand, India
Department of Civil Engineering, Indian Institute of Technology Roorkee, Uttarakhand, India
Lalit Pal
Department of Civil Engineering, Indian Institute of Technology Roorkee, Uttarakhand, India
Chandra Shekhar Prasad Ojha
Department of Civil Engineering, Indian Institute of Technology Roorkee, Uttarakhand, India
Ana Mijic
Department of Civil and Environmental Engineering, Imperial College London, London, UK
Rahul Dev Garg
Department of Civil Engineering, Indian Institute of Technology Roorkee, Uttarakhand, India
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Hydrol. Earth Syst. Sci., 22, 4745–4770, https://doi.org/10.5194/hess-22-4745-2018, https://doi.org/10.5194/hess-22-4745-2018, 2018
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Geospatial technologies and OIP are promising tools to study the effect of demographic changes and LULC transformations on the spatiotemporal variations in the water quality (WQ) across a large river basin. Therefore, this study could help to assess and solve local and regional WQ-related problems over a river basin. It may help the policy makers and planners to understand the status of water pollution so that suitable strategies could be planned for sustainable development in a river basin.
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-G-2025, 813–820, https://doi.org/10.5194/isprs-annals-X-G-2025-813-2025, https://doi.org/10.5194/isprs-annals-X-G-2025-813-2025, 2025
Aditya Kumar Thakur, Luvkesh Attri, Rahul Dev Garg, Kamal Jain, Dheeraj Kumar, and Arnab Chowdhury
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Entropy has become an effective scientific tool of the 21st century with numerous water resources and hydrology applications. This study explores a new dimension to applying entropy. The principle of maximum entropy theory is used to locate the optimum threshold and the underlying distributions in partial duration series modeling of flood frequency analysis. Comparison of the results with some previous findings suggests the effectiveness of the proposed method.
P. Tripathi and R. D. Garg
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D. Halder and R. D. Garg
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V. Badenko, A. Fedotov, D. Zotov, S. Lytkin, D. Volgin, R. D. Garg, and M. Liu
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Uttam Singh, Venkappayya R. Desai, Pramod K. Sharma, and Chandra S. P. Ojha
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-380, https://doi.org/10.5194/hess-2018-380, 2018
Preprint withdrawn
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Anoop Kumar Shukla, Chandra Shekhar Prasad Ojha, Ana Mijic, Wouter Buytaert, Shray Pathak, Rahul Dev Garg, and Satyavati Shukla
Hydrol. Earth Syst. Sci., 22, 4745–4770, https://doi.org/10.5194/hess-22-4745-2018, https://doi.org/10.5194/hess-22-4745-2018, 2018
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Jimmy O'Keeffe, Wouter Buytaert, Ana Mijic, Nicholas Brozović, and Rajiv Sinha
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Semi-structured interviews provide an effective and efficient way of collecting qualitative and quantitative data on water use practices. Interviews are organised around a topic guide, which helps lead the conversation while allowing sufficient opportunity to identify issues previously unknown to the researcher. The use of semi-structured interviews could significantly and quickly improve insight on water resources, leading to more realistic future management options and increased water security.
S. Moulds, W. Buytaert, and A. Mijic
Geosci. Model Dev., 8, 3215–3229, https://doi.org/10.5194/gmd-8-3215-2015, https://doi.org/10.5194/gmd-8-3215-2015, 2015
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The contribution of lulcc is to provide a free and open-source framework for land use change modelling. The software, which is provided as an R package, addresses problems associated with the current paradigm of closed-source, specialised land use change modelling software which disrupt the scientific process. It is an attempt to move the discipline towards open and transparent science and to ensure land use change models are accessible to scientists working across the geosciences.
G. M. Tsarouchi, W. Buytaert, and A. Mijic
Hydrol. Earth Syst. Sci., 18, 4223–4238, https://doi.org/10.5194/hess-18-4223-2014, https://doi.org/10.5194/hess-18-4223-2014, 2014
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Subject: Water Resources Management | Techniques and Approaches: Remote Sensing and GIS
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The paper aimed to develop DWP and DRWHS maps in the West Bank (Palestine) using an integrated GIS-based MCDA approach. The obtained maps will assist the decision makers to formulate proper strategies including the development of efficient and comprehensive water resource management strategies in trying to bridge the increasing water supply–demand gap for domestic purposes in the West Bank as a recognized area in the Dead Sea region which is facing a series water resource shortage challenges.
Fugen Li, Xiaozhou Xin, Zhiqing Peng, and Qinhuo Liu
Hydrol. Earth Syst. Sci., 23, 949–969, https://doi.org/10.5194/hess-23-949-2019, https://doi.org/10.5194/hess-23-949-2019, 2019
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This study proposes a simple but efficient model for estimating daily evapotranspiration considering heterogeneity of mixed pixels. In order to do so, an equation to calculate evapotranspiration fraction (EF) of mixed pixels was derived based on two key hypotheses. The model is easy to apply and is independent and easy to be embedded in the traditional remote sensing algorithms of heat fluxes to get daily ET.
Felix Zaussinger, Wouter Dorigo, Alexander Gruber, Angelica Tarpanelli, Paolo Filippucci, and Luca Brocca
Hydrol. Earth Syst. Sci., 23, 897–923, https://doi.org/10.5194/hess-23-897-2019, https://doi.org/10.5194/hess-23-897-2019, 2019
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About 70 % of global freshwater is consumed by irrigation. Yet, policy-relevant estimates of irrigation water use (IWU) are virtually lacking at regional to global scales. To bridge this gap, we develop a method for quantifying IWU from a combination of state-of-the-art remotely sensed and modeled soil moisture products and apply it over the United States for the period 2013–2016. Overall, our estimates agree well with reference data on irrigated area and irrigation water withdrawals.
Philippe Cattan, Jean-Baptiste Charlier, Florence Clostre, Philippe Letourmy, Luc Arnaud, Julie Gresser, and Magalie Jannoyer
Hydrol. Earth Syst. Sci., 23, 691–709, https://doi.org/10.5194/hess-23-691-2019, https://doi.org/10.5194/hess-23-691-2019, 2019
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We investigated the management of long-term environmental pollution by organochlorine pesticides. We selected the case of chlordecone on the island of Martinique. We propose a conceptual model of organochlorine fate accounting for physical conditions relative to soils and geology. This model explains pollution variability in water but also the dynamics of pollution trends. It helps to identify risky areas where pollution will last for a long time and where more attention is needed.
Anoop Kumar Shukla, Chandra Shekhar Prasad Ojha, Ana Mijic, Wouter Buytaert, Shray Pathak, Rahul Dev Garg, and Satyavati Shukla
Hydrol. Earth Syst. Sci., 22, 4745–4770, https://doi.org/10.5194/hess-22-4745-2018, https://doi.org/10.5194/hess-22-4745-2018, 2018
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Geospatial technologies and OIP are promising tools to study the effect of demographic changes and LULC transformations on the spatiotemporal variations in the water quality (WQ) across a large river basin. Therefore, this study could help to assess and solve local and regional WQ-related problems over a river basin. It may help the policy makers and planners to understand the status of water pollution so that suitable strategies could be planned for sustainable development in a river basin.
Melanie K. Vanderhoof, Charles R. Lane, Michael G. McManus, Laurie C. Alexander, and Jay R. Christensen
Hydrol. Earth Syst. Sci., 22, 1851–1873, https://doi.org/10.5194/hess-22-1851-2018, https://doi.org/10.5194/hess-22-1851-2018, 2018
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Effective monitoring and prediction of flood and drought events requires an improved understanding of surface water dynamics. We examined how the relationship between surface water extent, as mapped using Landsat imagery, and climate, is a function of landscape characteristics, using the Prairie Pothole Region and adjacent Northern Prairie in the United States as our study area. We found that at a landscape scale wetlands play a key role in informing how climate extremes influence surface water.
Mariana Madruga de Brito, Mariele Evers, and Adrian Delos Santos Almoradie
Hydrol. Earth Syst. Sci., 22, 373–390, https://doi.org/10.5194/hess-22-373-2018, https://doi.org/10.5194/hess-22-373-2018, 2018
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This paper sheds light on the integration of interdisciplinary knowledge in the assessment of flood vulnerability in Taquari-Antas river basin, Brazil. It shows how stakeholder participation is crucial for increasing not only the acceptance of model results but also its quality.
Nicolas Avisse, Amaury Tilmant, Marc François Müller, and Hua Zhang
Hydrol. Earth Syst. Sci., 21, 6445–6459, https://doi.org/10.5194/hess-21-6445-2017, https://doi.org/10.5194/hess-21-6445-2017, 2017
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Information on small reservoir storage is crucial for water management in a river basin. However, it is most of the time not freely available in remote, ungauged, or conflict-torn areas. We propose a novel approach using satellite imagery information only to quantitatively estimate storage variations in such inaccessible areas. We apply the method to southern Syria, where ground monitoring is impeded by the ongoing civil war, and validate it against in situ measurements in neighbouring Jordan.
Rangaswamy Madugundu, Khalid A. Al-Gaadi, ElKamil Tola, Abdalhaleem A. Hassaballa, and Virupakshagouda C. Patil
Hydrol. Earth Syst. Sci., 21, 6135–6151, https://doi.org/10.5194/hess-21-6135-2017, https://doi.org/10.5194/hess-21-6135-2017, 2017
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In view of the pressing need to assess the productivity of agricultural fields in Saudi Arabia, this study was undertaken in an attempt to apply the METRIC model with Landsat-8 imagery for the determination of spatial and temporal variability in ET aiming at optimizing the quantification of crop water requirement and the formulation of efficient irrigation schedules. This paper will be of great interest to readers in the areas of agriculture (in general), water management and remote sensing.
Clara Linés, Micha Werner, and Wim Bastiaanssen
Hydrol. Earth Syst. Sci., 21, 4747–4765, https://doi.org/10.5194/hess-21-4747-2017, https://doi.org/10.5194/hess-21-4747-2017, 2017
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This paper aims at identifying Earth observation data sets that can help river basin managers detect drought conditions that may lead to impacts early enough to take mitigation actions. Six remote sensing products were assessed using two types of impact data as a benchmark: media records from a regional newspaper and crop yields. Precipitation, vegetation condition and evapotranspiration products showed the best results, offering early signs of impacts up to 6 months before the reported damages.
Zeinab Takbiri, Ardeshir M. Ebtehaj, and Efi Foufoula-Georgiou
Hydrol. Earth Syst. Sci., 21, 2685–2700, https://doi.org/10.5194/hess-21-2685-2017, https://doi.org/10.5194/hess-21-2685-2017, 2017
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We present a multi-sensor retrieval algorithm for flood extent mapping at high spatial and temporal resolution. While visible bands provide flood mapping at fine spatial resolution, their capability is very limited in a cloudy sky. Passive microwaves can penetrate through clouds but cannot detect small-scale flooded surfaces due to their coarse resolution. The proposed method takes advantage of these two observations to retrieve sub-pixel flooded surfaces in all-sky conditions.
Joseph G. Alfieri, Martha C. Anderson, William P. Kustas, and Carmelo Cammalleri
Hydrol. Earth Syst. Sci., 21, 83–98, https://doi.org/10.5194/hess-21-83-2017, https://doi.org/10.5194/hess-21-83-2017, 2017
Yan Zhao, Yongping Wei, Shoubo Li, and Bingfang Wu
Hydrol. Earth Syst. Sci., 20, 4469–4481, https://doi.org/10.5194/hess-20-4469-2016, https://doi.org/10.5194/hess-20-4469-2016, 2016
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The paper finds that combined inflow from both current and previous years' discharge determines water availability in downstream regions. Temperature determines broad vegetation distribution while hydrological variables show significant effects only in near-river-channel regions. Agricultural development curtailed further vegetation recovery in the studied area. Enhancing current water allocation schemes and regulating regional agricultural activities are required for future restoration.
Markus Enenkel, Christoph Reimer, Wouter Dorigo, Wolfgang Wagner, Isabella Pfeil, Robert Parinussa, and Richard De Jeu
Hydrol. Earth Syst. Sci., 20, 4191–4208, https://doi.org/10.5194/hess-20-4191-2016, https://doi.org/10.5194/hess-20-4191-2016, 2016
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Soil moisture is a crucial variable for a variety of applications, ranging from weather forecasting and agricultural production to the monitoring of floods and droughts. Satellite observations are particularly important in regions where no in situ measurements are available. Our study presents a method to integrate global near-real-time satellite observations from different sensors into one harmonized, daily data set. A first validation shows good results on a global scale.
Behzad Hessari, Adriana Bruggeman, Ali Mohammad Akhoond-Ali, Theib Oweis, and Fariborz Abbasi
Hydrol. Earth Syst. Sci., 20, 1903–1910, https://doi.org/10.5194/hess-20-1903-2016, https://doi.org/10.5194/hess-20-1903-2016, 2016
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Yields of rainfed winter crops such as wheat can be substantially improved with limited supplemental irrigation. The upper Karkheh River basin in Iran has 15 840 km2 of rainfed crops. A GIS method was designed to identify suitable areas for irrigation and a routine was developed to allocate water uses and route the flows downstream. A maximum of 13 % of the rainfed cropland could be irrigated under normal flow, 9 % if environmental flow requirements are considered and 6 % under drought conditions.
Ting Xia, William P. Kustas, Martha C. Anderson, Joseph G. Alfieri, Feng Gao, Lynn McKee, John H. Prueger, Hatim M. E. Geli, Christopher M. U. Neale, Luis Sanchez, Maria Mar Alsina, and Zhongjing Wang
Hydrol. Earth Syst. Sci., 20, 1523–1545, https://doi.org/10.5194/hess-20-1523-2016, https://doi.org/10.5194/hess-20-1523-2016, 2016
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This paper describes a model inter-comparison and validation study conducted using sub-meter resolution thermal data from an aircraft. The model inter-comparison is between a physically based model and a very simple empirical model. The strengths and weaknesses of both modeling approaches for high-resolution mapping of water use in vineyards is described. The findings provide significant insight into the utility of complex versus simple models for precise water resources management.
P. Karimi and W. G. M. Bastiaanssen
Hydrol. Earth Syst. Sci., 19, 507–532, https://doi.org/10.5194/hess-19-507-2015, https://doi.org/10.5194/hess-19-507-2015, 2015
P. Karimi, W. G. M. Bastiaanssen, A. Sood, J. Hoogeveen, L. Peiser, E. Bastidas-Obando, and R. J. Dost
Hydrol. Earth Syst. Sci., 19, 533–550, https://doi.org/10.5194/hess-19-533-2015, https://doi.org/10.5194/hess-19-533-2015, 2015
F. Baup, F. Frappart, and J. Maubant
Hydrol. Earth Syst. Sci., 18, 2007–2020, https://doi.org/10.5194/hess-18-2007-2014, https://doi.org/10.5194/hess-18-2007-2014, 2014
C. Cammalleri, M. C. Anderson, and W. P. Kustas
Hydrol. Earth Syst. Sci., 18, 1885–1894, https://doi.org/10.5194/hess-18-1885-2014, https://doi.org/10.5194/hess-18-1885-2014, 2014
J. L. Stein, M. F. Hutchinson, and J. A. Stein
Hydrol. Earth Syst. Sci., 18, 1917–1933, https://doi.org/10.5194/hess-18-1917-2014, https://doi.org/10.5194/hess-18-1917-2014, 2014
L. Longuevergne, C. R. Wilson, B. R. Scanlon, and J. F. Crétaux
Hydrol. Earth Syst. Sci., 17, 4817–4830, https://doi.org/10.5194/hess-17-4817-2013, https://doi.org/10.5194/hess-17-4817-2013, 2013
O. Merlin
Hydrol. Earth Syst. Sci., 17, 3623–3637, https://doi.org/10.5194/hess-17-3623-2013, https://doi.org/10.5194/hess-17-3623-2013, 2013
R. Guzinski, M. C. Anderson, W. P. Kustas, H. Nieto, and I. Sandholt
Hydrol. Earth Syst. Sci., 17, 2809–2825, https://doi.org/10.5194/hess-17-2809-2013, https://doi.org/10.5194/hess-17-2809-2013, 2013
X. M. Feng, G. Sun, B. J. Fu, C. H. Su, Y. Liu, and H. Lamparski
Hydrol. Earth Syst. Sci., 16, 2617–2628, https://doi.org/10.5194/hess-16-2617-2012, https://doi.org/10.5194/hess-16-2617-2012, 2012
N. Baghdadi, R. Cresson, M. El Hajj, R. Ludwig, and I. La Jeunesse
Hydrol. Earth Syst. Sci., 16, 1607–1621, https://doi.org/10.5194/hess-16-1607-2012, https://doi.org/10.5194/hess-16-1607-2012, 2012
J. Van doninck, J. Peters, H. Lievens, B. De Baets, and N. E. C. Verhoest
Hydrol. Earth Syst. Sci., 16, 773–786, https://doi.org/10.5194/hess-16-773-2012, https://doi.org/10.5194/hess-16-773-2012, 2012
R. R. E. Vernimmen, A. Hooijer, Mamenun, E. Aldrian, and A. I. J. M. van Dijk
Hydrol. Earth Syst. Sci., 16, 133–146, https://doi.org/10.5194/hess-16-133-2012, https://doi.org/10.5194/hess-16-133-2012, 2012
G.-J. Yang, C.-J. Zhao, W.-J. Huang, and J.-H. Wang
Hydrol. Earth Syst. Sci., 15, 2317–2326, https://doi.org/10.5194/hess-15-2317-2011, https://doi.org/10.5194/hess-15-2317-2011, 2011
J. Negrel, P. Kosuth, and N. Bercher
Hydrol. Earth Syst. Sci., 15, 2049–2058, https://doi.org/10.5194/hess-15-2049-2011, https://doi.org/10.5194/hess-15-2049-2011, 2011
R. Fieuzal, B. Duchemin, L. Jarlan, M. Zribi, F. Baup, O. Merlin, O. Hagolle, and J. Garatuza-Payan
Hydrol. Earth Syst. Sci., 15, 1117–1129, https://doi.org/10.5194/hess-15-1117-2011, https://doi.org/10.5194/hess-15-1117-2011, 2011
F. Baup, E. Mougin, P. de Rosnay, P. Hiernaux, F. Frappart, P. L. Frison, M. Zribi, and J. Viarre
Hydrol. Earth Syst. Sci., 15, 603–616, https://doi.org/10.5194/hess-15-603-2011, https://doi.org/10.5194/hess-15-603-2011, 2011
M. Zribi, A. Chahbi, M. Shabou, Z. Lili-Chabaane, B. Duchemin, N. Baghdadi, R. Amri, and A. Chehbouni
Hydrol. Earth Syst. Sci., 15, 345–358, https://doi.org/10.5194/hess-15-345-2011, https://doi.org/10.5194/hess-15-345-2011, 2011
L. A. Gibson, Z. Münch, and J. Engelbrecht
Hydrol. Earth Syst. Sci., 15, 295–310, https://doi.org/10.5194/hess-15-295-2011, https://doi.org/10.5194/hess-15-295-2011, 2011
H. Lievens, N. E. C. Verhoest, E. De Keyser, H. Vernieuwe, P. Matgen, J. Álvarez-Mozos, and B. De Baets
Hydrol. Earth Syst. Sci., 15, 151–162, https://doi.org/10.5194/hess-15-151-2011, https://doi.org/10.5194/hess-15-151-2011, 2011
Cited articles
Ahn, K. H. and Merwade, V.: The Integrated Impact of Basin Characteristics on
Changes in Hydrological Variables, in: chap. 12 in “Sustainable Water Resources
Management”, American Society of Civil Engineers (ASCE), Virginia, USA, 317–336, 2017.
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration – Guidelines
for computing crop water requirements, FAO Irrigation and drainage paper 56,
FAO, Rome, 300, D05109, 1998.
Bai, Y., Ouyang, Y., and Pang, J. S.: Biofuel supply chain design under
competitive agricultural land use and feedstock market equilibrium, Energy
Econ., 34, 1623–1633, 2012.
Bharati, L., Lacombe, G., Gurung, P., Jayakody, P., Hoanh, C. T., and Smakhtin,
V.: The impacts of water infrastructure and climate change on the hydrology of
the Upper Ganges River Basin, in: Vol. 142, IWMI, Colombo, Sri Lanka, 2011.
Budyko, M. I.: The Heat Balance of the Earth, Leningrad, 1956, Translation by
N. A. Stepanova, US Weather Bureau, Washington, 1–254, 1958.
Budyko, M. I.: Climate and Life, Academic Press, New York, USA, 1–507, 1974.
Budyko, M. I. and Ronov, A. B.: Evolution of chemical composition of the
atmosphere during the Phanerozoic, Geokhimiya, 5, 643–653, 1979.
Choudhury, B.: Evaluation of an empirical equation for annual evaporation using
field observations and results from a biophysical model, J. Hydrol., 216, 99–110, 1999.
Donohue, R. J., Roderick, M. L., and McVicar, T. R.: Roots, storms and soil
pores: Incorporating key ecohydrological processes into Budyko's hydrological
model, J. Hydrol., 436, 35–50, 2012.
Droogers, P. and Allen, R. G.: Estimating reference evapotranspiration under
inaccurate data conditions, Irrig. Drain. Syst., 16, 33–45, 2002.
Earth Explorer – USGS: available at: https://earthexplorer.usgs.gov/,
last access: 15 September 2018.
Fu, B. P.: On the calculation of the evaporation from land surface, Sci. Atmos.
Sin., 5, 23–31, 1981.
Goyal, M. K. and Khan, M.: Assessment of spatially explicit annual water-balance
model for Sutlej River Basin in eastern Himalayas and Tungabhadra River Basin
in peninsular India, Hydrol. Res., 48, 542–558, 2017.
Guswa, A. J., Brauman, K. A., Brown, C., Hamel, P., Keeler, B. L., and Sayre,
S. S.: Ecosystem services: Challenges and opportunities for hydrologic modeling
to support decision making, Water Resour. Res., 50, 4535–4544, 2014.
Hamel, P. and Guswa, A. J.: Uncertainty analysis of a spatially explicit annual
water-balance model: case study of the Cape Fear basin, North Carolina, Hydrol.
Earth Syst. Sci., 19, 839–853, https://doi.org/10.5194/hess-19-839-2015, 2015.
Hoyer, R. and Chang, H.: Assessment of freshwater ecosystem services in the
Tualatin and Yamhill basins under climate change and urbanization, Appl. Geogr.,
53, 402–416, 2014.
India Meteorological Department: available at: http://www.imdpune.gov.in/ndc_new/Request.html, last access: 10 October 2018.
ICAR: ICAR-NBSS&LUP Publications 2012–17, available at:
https://www.nbsslup.in/publications.html, last access: October 2018.
Khatami, S. and Khazaei, B.: Benefits of GIS Application in Hydrological
Modeling: A Brief summary, VATTEN – J. Water Manage. Res., 70, 41–49, 2014.
Li, D., Pan, M., Cong, Z., Zhang, L., and Wood, E.: Vegetation control on water
and energy balance within the Budyko framework, Water Resour. Res., 49, 969–976, 2013.
Ma, Z. M., Kang, S. Z., Zhang, L., Tong, L., and Su, X. L.: Analysis of impacts
of climate variability and human activity on streamflow for a river basin in
arid region of northwest China, J. Hydrol., 352, 239–249, 2008.
Maurya, A. S., Shah, M., Deshpande, R. D., Bhardwaj, R. M., Prasad, A., and
Gupta, S. K.: Hydrograph separation and precipitation source identification
using stable water isotopes and conductivity: River Ganga at Himalayan foothills,
Hydrol. Process., 25, 1521–1530, 2011.
McKenzie, N. J., Gallant, J., and Gregory, L.: Estimating water storage capacities
in soil at catchment scales, CRC for Catchment Hydrology, CRC Publications,
Monash University, Monash, Australia, 2003.
Mezentsev, V.: More on the computation of total evaporation (Yechio raz o
rastchetie srednevo summarnovo ispareniia), Meteorog. i Gridrolog., 5, 24–26, 1955.
Milly, P. C. D. and Dunne, K. A.: Macroscale water fluxes 2. Water and energy
supply control of their interannual variability, Water Resour. Res., 38, 241–249, 2002.
Nelson, E., Sander, H., Hawthorne, P., Conte, M., Ennaanay, D., Wolny, S.,
Manson, S., and Polasky, S.: Projecting global land-use change and its effect
on ecosystem service provision and biodiversity with simple models, PloS One,
5, E14327, https://doi.org/10.1371/journal.pone.0014327, 2010.
Ning, T., Li, Z., and Liu, W.: Vegetation dynamics and climate seasonality
jointly control the interannual catchment water balance in the Loess Plateau
under the Budyko framework, Hydrol. Earth Syst. Sci., 21, 1515–1526,
https://doi.org/10.5194/hess-21-1515-2017, 2017.
Ojha, C. S. P., Bhunya, P., and Berndtsson, R.: Engineering Hydrology, 1st Edn.,
Oxford University Press, Oxford, UK, 1–459, 2008.
Ol'Dekop, E. M.: On Evaporation from the Surface of River Basins, Univ. of
Tartu, Tartu, Estonia, 1–208, 1911.
Pai, D. S., Sridhar, L., Rajeevan, M., Sreejith, O. P., Satbhai, N. S., and
Mukhopadhyay, B.: Development of a new high spatial resolution (0.25×0.25)
long period (1901–2010) daily gridded rainfall data set over India and its
comparison with existing data sets over the region, Mausam, 65, 1–18, 2014.
Pathak, S., Ojha, C. S. P., Zevenbergen, C., and Garg, R. D.: Ranking of Storm
Water Harvesting Sites Using Heuristic and Non-Heuristic Weighing Approaches,
Water, 9, 710, 2017.
Pike, J. G.: The estimation of annual run-off from meteorological data in a
tropical climate, J. Hydrol., 2, 116–123, 1964.
Porporato, A., Daly, E., and Rodriguez-Iturbe, I.: Soil water balance and
ecosystem response to climate change, Am. Nat., 164, 625–632, 2004.
Redhead, J. W., Stratford, C., Sharps, K., Jones, L., Ziv, G., Clarke, D.,
Oliver, T. H., and Bullock, J. M.: Empirical validation of the InVEST water
yield ecosystem service model at a national scale, Sci. Total Environ., 569, 1418–1426, 2016.
Rouholahnejad Freund, E. and Kirchner, J. W.: A Budyko framework for estimating
how spatial heterogeneity and lateral moisture redistribution affect average
evapotranspiration rates as seen from the atmosphere, Hydrol. Earth Syst. Sci.,
21, 217–233, https://doi.org/10.5194/hess-21-217-2017, 2017.
Sánchez-Canales, M., Benito, A. L., Passuello, A., Terrado, M., Ziv, G.,
Acuña, V., Schuhmacher, M., and Elorza, F. J.: Sensitivity analysis of
ecosystem service valuation in a Mediterranean watershed, Sci. Total Environ.,
440, 140–153, 2012.
Schreiber, P.: Über die Beziehungen zwischen dem Niederschlag und der
Wasserführung der Flüsse in Mitteleuropa, Z. Meteorol., 21, 441–452, 1904.
Srivastava, A. K., Rajeevan, M., and Kshirsagar, S. R.: Development of a high
resolution daily gridded temperature data set (1969–2005) for the Indian region,
Atmos. Sci. Lett., 10, 249–254, 2009.
Su, C. and Fu, B.: Evolution of ecosystem services in the Chinese Loess Plateau
under climatic and land use changes, Global Planet. Change, 101, 119–128, 2013.
Tallis, H. T., Ricketts, T., Nelson, E., Ennaanay, D., Wolny, S., Olwero, N.,
Vigerstol, K., Pennington, D., Mendoza, G., Aukema, J., and Foster, J.:
InVEST 1.004 beta User's Guide, The Natural Capital Project, Stanford University,
USA, available at: https://naturalcapitalproject.stanford.edu/invest/
(last access: October 2018), 2010.
Terrado, M., Acuña, V., Ennaanay, D., Tallis, H., and Sabater, S.: Impact
of climate extremes on hydrological ecosystem services in a heavily humanized
Mediterranean basin, Ecol. Indic., 37, 199–209, 2014.
Turc, L.: Le bilan d'eau des sols: relations entre les précipitations,
l'évaporation et l'écoulement, Annales Agronomiques A, 20, 491–595, 1954.
Wang, D. and Tang, Y.: A one-parameter Budyko model for water balance captures
emergent behavior in darwinian hydrologic models, Geophys. Res. Lett.,
41, 4569–4577, 2014.
Wang, X.-S. and Zhou, Y.: Shift of annual water balance in the Budyko space for
catchments with groundwater-dependent evapotranspiration, Hydrol. Earth Syst.
Sci., 20, 3673–3690, https://doi.org/10.5194/hess-20-3673-2016, 2016.
Xu, X., Liu, W., Scanlon, B. R., Zhang, L., and Pan, M.: Local and global factors
controlling water-energy balances within the Budyko framework, Geophys. Res.
Lett., 40, 6123–6129, 2013.
Yang, D., Sun, F., Liu, Z., Cong, Z., Ni, G., and Lei, Z.: Analyzing spatial
and temporal variability of annual water-energy balance in nonhumid regions of
China using the Budyko hypothesis, Water Resour. Res., 43, W04426, https://doi.org/10.1029/2006WR005224, 2007.
Yang, H., Yang, D., Lei, Z., and Sun, F.: New analytical derivation of the mean
annual water-energy balance equation, Water Resour. Res., 44, W03410, https://doi.org/10.1029/2007WR006135, 2008.
Zhang, L., Dawes, W. R., and Walker, G. R.: Response of mean annual
evapotranspiration to vegetation changes at catchment scale, Water Resour. Res.,
37, 701–708, 2001.
Zhang, L., Hickel, K., Dawes, W. R., Chiew, F. H., Western, A. W., and Briggs,
P. R.: A rational function approach for estimating mean annual evapotranspiration,
Water Resour. Res., 40, W02502, https://doi.org/10.1029/2003WR002710, 2004.
Zhang, L., Potter, N., Hickel, K., Zhang, Y. Q., and Shao, Q. X.: Water balance
modeling over variable time scales based on the Budyko framework – Model
development and testing, J. Hydrol., 360, 117–131, 2008.
Zhou, G., Wei, X., Chen, X., Zhou, P., Liu, X., Xiao, Y., Sun, G., Scott, D. F.,
Zhou, S., Han, L., and Su, Y.: Global pattern for the effect of climate and land
cover on water yield, Nat. Commun., 6, 5918, https://doi.org/10.1038/ncomms6918, 2015.
Zhou, S., Yu, B., Huang, Y., and Wang, G.: The complementary relationship and
generation of the Budyko functions, Geophys. Res. Lett., 42, 1781–1790, 2015.
Zhou, X., Zhang, Y., Wang, Y., Zhang, H., Vaze, J., Zhang, L., Yang, Y., and
Zhou, Y.: Benchmarking global land surface models against the observed mean
annual runoff from 150 large basins, J. Hydrol., 470, 269–279, 2012.
Short summary
In this study, we carried out a comparative evaluation of water yield using two approaches, the Lumped Zhang model and the pixel-based approach. Even in pixel-level computations, experiments are made with existing models of some of the involved parameters. The study indicates not only the suitability of pixel-based computations but also clarifies the suitable model of some of the parameters to be used with pixel-based computations to obtain better results.
In this study, we carried out a comparative evaluation of water yield using two approaches, the...
Special issue