scholarly journals A Typology of Economic Instruments and Methods for Efficient Water Resources Management in Arid and Semi-Arid Regions

2013 ◽  
Author(s):  
Katia Karousakis ◽  
Phoebe Koundouri
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
Arid Regions ◽  
Economic Instruments ◽  
Resources Management ◽  
Semi Arid

scholarly journals Effects of model calibration on hydrological and water resources management simulations under climate change in a semi-arid watershed

2020 ◽  
Vol 163 (3) ◽  
pp. 1247-1266 ◽  
Author(s):  
Hagen Koch ◽  
Ana Lígia Chaves Silva ◽  
Stefan Liersch ◽  
José Roberto Gonçalves de Azevedo ◽  
Fred Fokko Hattermann
Keyword(s):  
Climate Change ◽  
Water Management ◽  
Water Resources ◽  
Water Resources Management ◽  
Model Calibration ◽  
Arid Regions ◽  
Discharge Data ◽  
Resources Management ◽  
North Eastern ◽  
Semi Arid

AbstractSemi-arid regions are known for erratic precipitation patterns with significant effects on the hydrological cycle and water resources availability. High temporal and spatial variation in precipitation causes large variability in runoff over short durations. Due to low soil water storage capacity, base flow is often missing and rivers fall dry for long periods. Because of its climatic characteristics, the semi-arid north-eastern region of Brazil is prone to droughts. To counter these, reservoirs were built to ensure water supply during dry months. This paper describes problems and solutions when calibrating and validating the eco-hydrological model SWIM for semi-arid regions on the example of the Pajeú watershed in north-eastern Brazil. The model was calibrated to river discharge data before the year 1983, with no or little effects of water management, applying a simple and an enhanced approach. Uncertainties result mainly from the meteorological data and observed river discharges. After model calibration water management was included in the simulations. Observed and simulated reservoir volumes and river discharges are compared. The calibrated and validated models were used to simulate the impacts of climate change on hydrological processes and water resources management using data of two representative concentration pathways (RCP) and five earth system models (ESM). The differences in changes in natural and managed mean discharges are negligible (< 5%) under RCP8.5 but notable (> 5%) under RCP2.6 for the ESM ensemble mean. In semi-arid catchments, the enhanced approach should be preferred, because in addition to discharge, a second variable, here evapotranspiration, is considered for model validation.

Satellite time series analysis of vegetation dynamics for water resources management in semi-arid regions

2020 ◽  
Author(s):  
Robert Behling ◽  
Sigrid Roessner ◽  
Saskia Foerster
Keyword(s):  
Water Management ◽  
Land Use ◽  
Time Series ◽  
Water Resources ◽  
Water Resources Management ◽  
Vegetation Dynamics ◽  
Arid Regions ◽  
Resources Management ◽  
Semi Arid

&lt;p&gt;One of the consequences of global climate change is the more frequent occurrence of extreme weather conditions. Semi-arid regions are especially vulnerable since evapotranspiration significantly exceeds precipitation for most of the year and rainfall occurrence is dominantly sporadic and highly variable in amount and spatial extent. Consequently, these regions suffer from droughts of increasing duration and severity, occasionally interrupted by strong rainfall events generating high surface runoff and in part highly destructive floods. In semi-arid regions water retention capability is often further reduced by changes of the original vegetation cover due to conversion into farmland and intensification of land use. The result is widespread land degradation by a decrease in permanent vegetation cover and an increase in soil erosion. Under such conditions sustainable water resources management is of key importance, however, reliable long-term observations describing the water cycle and the resulting water budget are missing for many regions of the world. This situation requires new approaches in improving seasonal forecast for relevant water resources parameters as well as spatiotemporally explicit understanding the of influence of water and land use management on the long-term development of water availability and land surface conditions.&amp;#160;&lt;br&gt;The German collaborative research project &amp;#8216;Seasonal water resources management in semi-arid regions: Transfer of regionalized global information to practice&amp;#8217; (SaWaM) aims at the development of methods allowing the use of global data for deriving information needed for regional water resources management in semi-arid regions by integrating meteorological, hydrological and ecosystem sciences and supported by satellite remote sensing analysis. The performance, practical applicability and transferability of the developed methods are assessed in several semi-arid regions including Brazil, Iran and Sudan. Here, we present our work on the analysis of the seasonal and long-term vegetation dynamics at different spatial and temporal scales using satellite time series data of different spatial and temporal resolution (MODIS and Sentinel-2). &amp;#160;Our goal is linking the derived vegetation dynamics to changes in meteorological conditions, water availability and land use. In this context we put emphasis on the spatiotemporal analysis of bioproductivity related to different land use types and climatic conditions to identify and characterize hotspots of water usage in form of irrigated agriculture as a basis for further evaluation of the underlying water management practices.&lt;br&gt;We perform time series analysis of satellite-derived vegetation indices (VI) using various statistical aggregates, such as maximum, mean and temporal duration related to variable time periods (hydrological year, dry and wet season, growing patterns) as well as additive time series decomposition. Thus, we analyze long-term trends, seasonal deviations from long-term average conditions, and break points in the time series related to land use and water management changes. Moreover, we compare the derived spatiotemporal VI dynamics against the dynamics of hydrometeorological conditions (e.g. precipitation, evapotranspiration, temperature) as well as land use patterns in order to evaluate the impact of hydrometeorological drought conditions on different land use types and water management practices. &amp;#160;In conclusion, we present prototypes for information products supporting decision making of the local experts in the target regions.&lt;/p&gt;

scholarly journals Modeling of Runoff in the Arid Regions Using Remote Sensing and Geographic Information System (GIS)

2020 ◽  
Vol 15 (5) ◽  
pp. 691-700
Author(s):  
Ahmed Shahadha Muneer ◽  
Khamis Naba Sayl ◽  
Ammar Hatem Kamel
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Water Resources ◽  
Water Resources Management ◽  
Surface Runoff ◽  
Arid Regions ◽  
Western Desert ◽  
Resources Management ◽  
Good Agreement

One of the most important challenges in the field of engineering hydrology and water resources management, especially in arid regions such as the Iraqi Western Desert, is the process of predicting and quantifying the surface runoff. The limited available data about rainfall, runoff, soil properties, evaporation, and the lack of metrological stations make the process of predicting and calculating surface runoff a very difficult task. Modern technology can help with the purpose of compensating for the shortage of data and providing the information necessary to estimate the runoff and develop the system of water resources management in the region. The present study develops a model to determine the infiltration of soil from spectral reflectance using Artificial Neural Networks (ANN) integrated with a geographic information system (GIS) and remote sensing (RS). Field infiltration measurements for 105 soil samples in the Al-Ratga catchment area in the Iraqi western desert are achieved. The performance of the developed model was assessed both qualitatively and quantitatively (effective runoff depth) by comparing the results of actual and estimated basic infiltration rate values for each sample. The results refer to a good agreement between estimated and measured infiltration (R2=0.768). The developed model predicts the runoff depending on the water balance equation and the results refer to good agreement with the SCS-CN model that is one of the most widely used in this region.

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