TY  - GEN
A1  - Kühn, Michael
A1  - Schöne, Tim
T1  - Multivariate regression model from water level and production rate time series for the geothermal reservoir Waiwera (New Zealand)
T2  - Energy procedia
N2  - Water management tools are necessary to guarantee the preservation of natural resources while ensuring optimum utilization. Linear regression models are a simple and quick solution for creating prognostic capabilities. Multivariate models show higher precision than univariate models. In the case of Waiwera, implementation of individual production rates is more accurate than applying just the total production rate. A maximum of approximately 1,075 m3/day can be pumped to ensure a water level of at least 0.5 m a.s.l. in the monitoring well. The model should be renewed annually to implement new data and current water level trends to keep the quality.
KW  - geothermal reservoir
KW  - water management
KW  - data based model
KW  - multivariate regression
KW  - coefficient of determination
KW  - scenario analysis
Y1  - 2017
U6  - https://doi.org/10.1016/j.egypro.2017.08.196
SN  - 1876-6102
VL  - 125
SP  - 571
EP  - 579
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - JOUR
A1  - de Araujo, Jose Carlos
A1  - Bronstert, Axel
T1  - A method to assess hydrological drought in semi-arid environments and its application to the Jaguaribe River basin, Brazil
JF  - Water International
N2  - This manuscript proposes a method to assess hydrological drought in semi-arid environments under high impoundment rate and applies it to the semi-arid Jaguaribe River basin in Brazil. It analyzes droughts (1) in the largest reservoir systems; (2) in the Upper Basin, considering 4744 reservoirs, 800 wells and almost 18,000 cisterns; and (3) in reservoirs of different sizes during multiyear droughts. Results show that the water demand is constrained in the basin; hydrological and meteorological droughts are often out of phase; there is a negative correlation between storage level and drought severity; and the small systems cannot cope with long-term droughts.
KW  - Reservoirs
KW  - Brazil
KW  - multiyear drought
KW  - water management
KW  - impoundment rate
KW  - water demand
Y1  - 2016
U6  - https://doi.org/10.1080/02508060.2015.1113077
SN  - 0250-8060
SN  - 1941-1707
VL  - 41
SP  - 213
EP  - 230
PB  - Wiley-Blackwell
CY  - Abingdon
ER  - 
TY  - JOUR
A1  - Tekken, Vera
A1  - Kropp, Jürgen
T1  - Climate-Driven or Human-Induced indicating severe water scarcity in the Moulouya River Basin (Morocco)
JF  - Water
N2  - Many agriculture-based economies are increasingly under stress from climate change and socio-economic pressures. The excessive exploitation of natural resources still represents the standard procedure to achieve socio-economic development. In the area of the Moulouya river basin, Morocco, natural water availability represents a key resource for all economic activities. Agriculture represents the most important sector, and frequently occurring water deficits are aggravated by climate change. On the basis of historical trends taken from CRU TS 2.1, this paper analyses the impact of climate change on the per capita water availability under inclusion of population trends. The Climatic Water Balance (CWB) shows a significant decrease for the winter period, causing adverse effects for the main agricultural season. Further, moisture losses due to increasing evapotranspiration rates indicate problems for the annual water budget and groundwater recharge. The per capita blue water availability falls below a minimum threshold of 500 m(3) per year, denoting a high regional vulnerability to increasing water scarcity assuming a no-response scenario. Regional development focusing on the water-intense sectors of agriculture and tourism appears to be at risk. Institutional capacities and policies need to address the problem, and the prompt implementation of innovative water production and efficiency measures is recommended.
KW  - North Africa
KW  - Moulouya river basin
KW  - climate change
KW  - population growth
KW  - regional development
KW  - water availability
KW  - water management
KW  - water scarcity
Y1  - 2012
U6  - https://doi.org/10.3390/w4040959
SN  - 2073-4441
VL  - 4
IS  - 4
SP  - 959
EP  - 982
PB  - MDPI
CY  - Basel
ER  -