scholarly journals Detecting the long-term impacts from climate variability and increasing water consumption on runoff in the Krishna river basin (India)

2006 ◽  
Vol 3 (4) ◽  
pp. 1249-1280 ◽  
Author(s):  
L. M. Bouwer ◽  
J. C. J. H. Aerts ◽  
P. Droogers ◽  
A. J. Dolman
Keyword(s):  
Climate Variability ◽  
River Basin ◽  
Water Consumption ◽  
Stream Water ◽  
Central India ◽  
Annual Runoff ◽  
Balance Model ◽  
Basin Scale ◽  
Runoff Variability ◽  
Increasing Demand

Abstract. Variations in climate, land-use and water consumption can have profound effects on river runoff. There is an increasing demand to study these factors at the regional to river basin-scale since these effects will particularly affect water resources management at this level. This paper presents a method that can help to differentiate between the effects of man-made hydrological developments and climate variability at the basin scale. We show and explain the relation between climate, water consumption and changes in runoff for the Krishna river basin in central India. Runoff under climate variability and increasing water consumption for irrigation and hydropower is simulated for the last 100 years using the STREAM water balance model. Runoff under climate variability is shown to vary only by about 14–34 mm (6–15%). It appears that reservoir construction after 1960 and increasing water consumption has caused a persistent decrease in annual runoff of up to approximately 123 mm (61%). Variation in runoff under natural climate variability only would have decreased over the period under study, but we estimate that increasing water consumption causes about two thirds of the current runoff variability.

scholarly journals Detecting the long-term impacts from climate variability and increasing water consumption on runoff in the Krishna river basin (India)

2006 ◽  
Vol 10 (5) ◽  
pp. 703-713 ◽  
Author(s):  
L. M. Bouwer ◽  
J. C. J. H. Aerts ◽  
P. Droogers ◽  
A. J. Dolman
Keyword(s):  
Climate Variability ◽  
River Basin ◽  
Water Consumption ◽  
River Runoff ◽  
Stream Water ◽  
Central India ◽  
Annual Runoff ◽  
Balance Model ◽  
Basin Scale ◽  
Runoff Variability

Abstract. Variations in climate, land-use and water consumption can have profound effects on river runoff. There is an increasing demand to study these factors at the regional to river basin-scale since these effects will particularly affect water resources management at this level. This paper presents a method that can help to differentiate between the effects of man-made hydrological developments and climate variability (including both natural variability and anthropogenic climate change) at the basin scale. We show and explain the relation between climate, water consumption and changes in runoff for the Krishna river basin in central India. River runoff variability due to observed climate variability and increased water consumption for irrigation and hydropower is simulated for the last 100 years (1901–2000) using the STREAM water balance model. Annual runoff under climate variability is shown to vary only by about 14–34 millimetres (6–15%). It appears that reservoir construction after 1960 and increasing water consumption has caused a persistent decrease in annual river runoff of up to approximately 123 mm (61%). Variation in runoff under climate variability only would have decreased over the period under study, but we estimate that increasing water consumption has caused runoff variability that is three times higher.

scholarly journals Evaluating the Influence of DEM Resolution and Potential Evapotranspiration Assessment on Groundwater Resources Estimation with a Reverse Hydrogeological Balance Method

Proceedings ◽  
2019 ◽  
Vol 48 (1) ◽  
pp. 25
Author(s):  
Iolanda Borzì ◽  
Brunella Bonaccorso ◽  
Giuseppe Tito Aronica
Keyword(s):  
River Basin ◽  
Potential Evapotranspiration ◽  
Groundwater Resources ◽  
Resource Planning ◽  
Surface Flow ◽  
Balance Method ◽  
Balance Model ◽  
Dem Resolution ◽  
Theoretical Approaches ◽  
Basin Scale

Quantifying groundwater resources is important for effective water resource planning and management at the river basin scale, and it has to take into account all the natural and anthropogenic components of the water balance, i.e., rainfall and runoff processes, as well as mutual interactions between surface water and groundwater, but also artificial groundwater recharges (i.e., from irrigation) and groundwater extractions. In the present study, a reverse hydrogeological balance model was applied to estimate the active mean annual recharge of the northern Etna groundwater system within the Alcantara river basin in the Sicily region (Italy), based on precipitation, temperature, and potential evapotranspiration in the area. The main objective of this study was to quantify how the digital elevation model (DEM) resolution influences the groundwater resource estimation through the abovementioned methodology and how this is also influenced by the method for potential evapotranspiration assessment. Groundwater and surface flow for our case study have been evaluated for five different DEM resolutions (20, 60, 100, 300, 500 m) and with three different theoretical approaches for evapotranspiration calculation (Turc Method, Modified Turc Method, and Budyko Method). Results were validated against isochronous recorded data of river discharge at the Moio Alcantara cross-section and show how the reverse hydrogeological balance method shows better performance if implemented with the Budyko Method for estimating evapotranspiration and by using a DEM with a 60 × 60 m grid resolution.

Recent Intensified Runoff Variability in the Hailar River Basin during the Past Two Centuries

2020 ◽  
Vol 21 (10) ◽  
pp. 2257-2273
Author(s):  
Junxia Li ◽  
Xueping Bai ◽  
Yuting Jin ◽  
Fangbo Song ◽  
Zhenju Chen ◽  
...  
Keyword(s):  
River Basin ◽  
Northeast China ◽  
Southern Oscillation ◽  
Annual Runoff ◽  
The Past ◽  
Increased Risk ◽  
Runoff Series ◽  
Tree Ring Data ◽  
Natural Land ◽  
Runoff Variability

AbstractUsing tree-ring data of Pinus sylvestris var. mongolica from the Hulun Buir region in northeast China, 12 annual runoff series of the Hailar River spanning the past 202–216 years were established for the first time; these included 11 branches and one for the entire basin. These reconstructions, which could explain 29.4%–52.7% of the total variance for the measured runoffs during 1956–2006, performed well in statistical verification tests. In the whole basin’s reconstruction of 212 years, 34 extreme drought years (16.0%) and 41 extreme pluvial years (19.3%) were identified; 4 of the 10 most extreme years occurred after 1980. The consistent cycle and correlation revealed that the Hailar runoff had a teleconnection with the El Niño–Southern Oscillation (ENSO). The sharply increasing variance at the end of the reconstruction, accompanied by the increasing intensity of short cycles (4–8 years), indicated that runoff variability in the Hailar River basin has enhanced in the late twentieth century. This is verified by the drastic fluctuations in water level and area of rivers and lakes, and the frequent shift of natural land cover types in the Hulun Buir area in recent decades. The intensified runoff variability can be connected with the concurrently enhanced ENSO activity. Our study is the first to identify the intensification of recent runoff variability in the semiarid to arid region in northeast China from a long-term perspective. With projected enhancement of ENSO activity, the Hailar River basin will face the increased risk of extreme hydrological events.

scholarly journals Analyzing the Impacts of Climate Variability and Land Surface Changes on the Annual Water–Energy Balance in the Weihe River Basin of China

Water ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 1792 ◽  
Author(s):  
Wenjia Deng ◽  
Jinxi Song ◽  
Hua Bai ◽  
Yi He ◽  
Miao Yu ◽  
...  
Keyword(s):  
Resource Management ◽  
Climate Variability ◽  
River Basin ◽  
Land Surface ◽  
Water Resource Management ◽  
Abrupt Change ◽  
Annual Runoff ◽  
Weihe River ◽  
Weihe River Basin ◽  
Surface Changes

The serious soil erosion problems and decreased runoff of the Loess Plateau may aggravate the shortage of its local water resources. Understanding the spatiotemporal influences on runoff changes is important for water resource management. Here, we study this in the largest tributary of the Yellow River, the Weihe River Basin. Data from four hydrological stations (Lin Jia Cun (LJC), Xian Yang (XY), Lin Tong (LT), and Hua Xian (HX)) and 10 meteorological stations from 1961–2014 were used to analyze changes in annual runoff. The Mann–Kendall test and Pettitt abrupt change point test diagnosed variations in runoff in the Weihe River basin; the time periods before and after abrupt change points are the base period (period I) and change period (period II), respectively. Within the Budyko framework, the catchment properties (ω in Fu’s equation) represent land surface changes; climate variability comprises precipitation (P) and potential evapotranspiration (ET0). All the stations showed a reduction in annual runoff during the recording period, of which 22.66% to 50.42% was accounted for by land surface change and 1.97% to 53.32% by climate variability. In the Weihe River basin, land surface changes drive runoff variation in LT and climate variability drives it in LJC, XY, and HX. The contribution of land surface changes to runoff reduction in period I was less than that in period II, indicating that changes in human activity further decreased runoff. Therefore, this study offers a scientific basis for understanding runoff trends and driving forces, providing an important reference for social development, ecological construction, and water resource management.

Assessing the Hydrological Effect of Climate Change on Water Balance of a River Basin in Northern Greece

2022 ◽  
pp. 817-839
Author(s):  
Panagiota G. Koukouli ◽  
Pantazis E. Georgiou ◽  
Dimitrios K. Karpouzos
Keyword(s):  
Climate Change ◽  
Water Balance ◽  
River Basin ◽  
Climate Models ◽  
Baseline Period ◽  
Annual Runoff ◽  
Balance Model ◽  
Northern Greece ◽  
Time Periods ◽  
Impacts Of Climate Change

In this work, the impacts of climate change on the water resources of the Olynthios River Basin in Northern Greece, were assessed. For this purpose, the climate change scenarios SRES and RCPs were used (SRES A1B, Α2 and RCP4.5, 8.5) - which were taken from two climate models, CGCM3.1/T63 and CanESM2, respectively - for two time periods (2031-2050 and 2081-2100) and for the baseline period (1981-2000). The downscaling was performed using the weather generator ClimGen. The monthly water balance of the Olynthios River Basin was estimated with the use of a conceptual water balance model. Results showed that the annual runoff of the river basin of Olynthios will decrease in response to climate change under all scenarios for both time periods. The results highlight the necessity for adequate adaptation strategies which could improve agricultural water management and reduce the impacts of climate change on agriculture.

Innovative Tools for Water Quality Management and Policy Analysis: Desert and Streamplan

1999 ◽  
Vol 40 (10) ◽  
pp. 103-110
Author(s):  
Carlo De Marchi ◽  
Pavel Ivanov ◽  
Ari Jolma ◽  
Ilia Masliev ◽  
Mark Griffin Smith ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
Policy Analysis ◽  
River Basin ◽  
Emission Reduction ◽  
Water Quality Management ◽  
Water Quality Modeling ◽  
Detailed Model ◽  
Basin Scale ◽  
Alternative Water

This paper presents the major features of two decision support systems (DSS) for river water quality modeling and policy analysis recently developed at the International Institute of Applied Systems Analysis (IIASA), DESERT and STREAMPLAN. DESERT integrates in a single package data management, model calibration, simulation, optimization and presentation of results. DESERT has the flexibility to allow the specification of both alternative water quality models and flow hydraulics for different branches of the same river basin. Specification of these models can be done interactively through Microsoft® Windows commands and menus and an easy to use interpreted language. Detailed analysis of the effects of parameter uncertainty on water quality results is integrated into DESERT. STREAMPLAN, on the other hand, is an integrated, easy-to-use software system for analyzing alternative water quality management policies on a river basin level. These policies include uniform emission reduction and effluent standard based strategies, ambient water quality and least-cost strategies, total emission reduction under minimized costs, mixed strategies, local and regional policies, and strategies with economic instruments. A distinctive feature of STREAMPLAN is the integration of a detailed model of municipal wastewater generation with a water quality model and policy analysis tools on a river basin scale.

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