Basin Characteristics Research Articles

Relative Impacts of Projected Climate and Land Use Changes on Terrestrial Water Balance: A Case Study on Ganga River Basin

The Ganga river basin, being one of the largest river basins in South-East Asia, with area over 1 million Km2 and population over 400 million, is highly vulnerable to water scarcity due to climate change and rapid growth in agriculture, industrialization and urbanization. To understand the potential impact of climate and land use changes on regional terrestrial water balance has become crucial for ensuring appropriate water management strategies for adaptation and mitigation purposes. In this study we employ an RCP-SSP (Representative Concentration Pathways - Shared Socioeconomic Pathways) scenario framework (1.5°C and 2°C warming scenarios and SSP1-5) to explore the relative impacts of projected 21st century climate and land use changes on the surface hydrology of the Ganga river basin. By statistically comparing the hydrological responses of each combination of socioeconomic and climate mitigation pathways against a control scenario, we distinguish between the impacts of each scenario. We also analyse our data in a conceptual framework to understand how climatic and land use factors impact the basin characteristics and which one among them is projected to be the dominant factor in our study region. Our results show that, in terms of hydrologic impact assessment, climate change mitigation pathways are the dominant factor and the land use changes associated with socio-economic pathways contribute little to the projected future changes.

Climate controls on the terrestrial water balance: Influence of aridity on the basin characteristics parameter in the Budyko framework

The terrestrial water balance can be represented by the ratio of evapotranspiration to precipitation, which is expressed as a function of the aridity index (ϕ) and the basin characteristics parameter (n) in the Budyko framework. Traditionally n is assumed to be a constant for a catchment, independent to the climatic variables and altered only by changes in land cover and human activities. Another conceptual framework, Climate Change Impact Hypotheses (CCUW), makes similar assumption of constant catchment efficiency for evapotranspiration. In this study, using Variation Infiltration Capacity (VIC) model experiments, we show that the basin characteristics parameter and catchment efficiency are influenced by aridity index, in contrast with the traditional assumption. We also examine the analytical derivation of a functional form of Budyko equation and show that the assumption of n being independent of the climate variables is not valid. Hydrologic simulations with VIC show that the influence of seasonal change in vegetation (in the form of Leaf Area Index) on n is negligible compared to that of aridity, but the intra-seasonal rainfall variability does have impacts. We demonstrate these with a case study on impact of 1.5 °C and 2 °C global warming scenarios on the terrestrial water cycle in the Ganga river basin, one of the large river basins of South Asia with multiple sub-basins. Our findings imply that, with these assumptions, classical conceptual frameworks cannot fully explain the hydrometeorological impacts of climate change. These results highlight the importance of model evaluation and assessment of model assumptions before regional impact assessment studies.

Construction of Evaluation Index System of Green Development in the Yellow River Basin Based on DPSIR Model

Under the strategic task of promoting high-quality green development in the Yellow River Basin, building an evaluation system for green development indicators in the Yellow River Basin is an urgent problem to be solved. This article combines the characteristics of the Yellow River Basin, comprehensively considers the main factors such as the natural environment and social economic system in the basin. Based on the DPSIR model, it constructs an evaluation indicator system which is suitable for the green development of the Yellow River Basin. The results show that the green development index of the Yellow River Basin is 2.55 which means the green development level is relatively low. Therefore, various measures should be taken to improve the green development level of the Yellow River Basin.

Sponge Basin Characteristics of the Original Ecosystem in Ziquejie Terraces and its Adaptive Water Supply and Demand Balance Mechanism

Based on the analysis of the observation results of rainfall and runoff and hydrogeological exploration in the Ziquejie terraces, the concept of “equal slope underground sponge reservoir” in the terraces is proposed. Compared with the ordinary linear storage and drainage process of groundwater in the basin, the “equal slope underground sponge reservoir” has a very significant characteristic of “sponge basin” which can adjust peak and relieve dry and prolong the outflow time. The calculation formula of non-linear outflow of underground water in the “sponge basin” is given. The characteristics of this “sponge basin” and its non-linear outflow principle and the coupling relationship among irrigation, water supply and drainage of ancient terraces are demonstrated. An adaptive balance model of water supply and demand in the original ecosystem of ancient terraces is established. The model is applied to simulate a long series of water supply and demand balance in the original ecosystem of the ancient terraced field, and the check results are highly consistent with the Historical Drought Resistance records of the ancient terraced field. It is proved that the principle of non-linear groundwater outflow in sponge basin and its calculation formula are correct and practical. The research results have important guiding significance for the development, utilization and protection of other ancient terraces, and also have important reference value for the development of sloping farmland.

High-resolution monitoring of inland water bodies across China in long time series and water resource changes

The accurate examination of inland water body distributions, types, areas and sizes is critical for global water cycling, while water resources and the diagnosis of utilization problem are essential to sustainable water management. Therefore, there remain less well-studied in China, especially for the accurate examination of long time series. Based on high-resolution satellite imagery from the late 1970s, statistical water resource data and precipitation data, this study identifies inland rivers, lakes, reservoirs and ponds larger than 0.001 km2, examines the regularity of different water distributions; analyzes area, perimeter and water resource changes for ten basins from long time series, quantitatively and qualitatively analyzes determinants, and illustrates main characteristics and water use problems affecting each basin and presents a number of suggestions. The results show that inland water body areas increased from 1980 to 2015 and that reservoir and pond areas increased considerably, while lake and river areas changed little. Land surface water resources and precipitation declined slightly from 1997 to 2015. Climatic conditions determine basic water body and resource distributions and volumes at the macroscopic scale, and human activities have greatly altered spatial patterns. Basin with rivers in the southwest includes highly exploitable water resources. Basin with rivers in the northwest faces considerable water shortages and fragile environmental conditions. The Yellow River, the Haihe River and the Songhua and Liaohe River Basins suffer from water shortages and pollution. The other four basins are experiencing eutrophication and frequent meteorological and geological hazards. Sustainable water management must be based on basin characteristics and major problems.

Basement Characteristics of Jakarta Groundwater Basin Based on Satellite Gravimetry Data

Jakarta groundwater basin is one of the most developed basins in Indonesia as Jakarta city is located within the basin, with an elevation ranging from 0 to 1000 m above sea level. The study of the basement characteristics of groundwater basins still needs further study in the Jakarta Groundwater Basin. The objective of this study is to examine the basement characteristics of Jakarta Groundwater Basin by satellite gravimetry. Gravity forward models were constructed using Oasis Montaj and 2-D GM-SYS software for two north-south sections, A and B, and west-east section C-D. Regional anomalies in the study area with a value range of 36.7 to 53.2 mGal, while the residual anomaly values in the study area were in the range of -7.0 - 10.0 mGal. There are four rock formations based on forwarding modeling. Holocene Beach Ridge Deposit formation has a density of 2.0 gr/cc. The thickness of this formation is estimated to be around 10-20 meters. Late Pleistocene Alluvial fan has a density of about 2.2 gr/cc. The depth of this layer ranges from 10-50 meters. Early Pleistocene Formation, has a density of 2.35 gr/cc. The thickness of this formation is at a depth of 50-200 meters in the cross-section. The Tertiary Marine Sediment Formation is a basement of the Jakarta Groundwater Basin. This formation has a rock density of 2.45 gr/cc.

Independent variable selection for regression modeling of the flow duration curve for ungauged basins in the United States

The flow duration curve (FDC) is widely used for river management operations, such as hydropower. Percentile flows of the FDC express the percent of time a flow is equaled or exceeded, and often need to be predicted for ungauged basins. Regression models are commonly used to predict percentile flows. However, a major challenge of this approach is selecting basin characteristics to serve as independent variables. The number of basin characteristics precludes an analysis of all possible models. Thus, a subset of models are typically evaluated using an automated regression procedure, like stepwise regression or the more exhaustive branch-and-bound approach. The latter was used as a baseline approach in this study, and was compared to six other less commonly used methods from the field of variable (feature) selection. The performance of all seven approaches was evaluated based on percentile flow regression models developed for a large sample of 918 basins in the United States. The baseline regression procedure only outperformed principal component analysis, the only method that did not use the percentile flows to select variables. Of the variable selection methods that used the percentile flows, the regression procedure performed the worst. This suggests that regression procedures should not be the first choice among variable selection methods for developing percentile flow regression models. Variables selected based on knowledge of the FDC performed nearly as well as the best overall data-based method (i.e. random forests). Random forests, and other methods that performed well, emphasized the influence of geology on percentile flows. A geologic variable (i.e. baseflow index) had the largest effect on predictive performance. All of the models suffered from large predictive error, and future work should apply a regional approach that groups similar basins to predict percentile flows.

Topoclimatic zones and characteristics of the upper Ganga basin, Uttarakhand, India

AbstractThe upper Ganga basin (UGB) constituting Bhagirathi and Alakananda basins has been considered as a single hydrological unit so far with comparable climate forcing. Here, we show three distinct “topoclimatic zones” of this basin having characteristically different temperature, precipitation, and orographic processes. The orographic discontinuity forced by a mountain ridge with an average elevation of 5,200 m a.s.l. is instrumental in the development of these topoclimatic zones. The northern region of the basin is identified as high elevation and high temperature zone (HE‐HT) with monsoon moisture deficit. This monsoon deficit region is characterized by higher land surface temperature lapse rate (LSTLR) during July and August (JA) derived from MODIS‐LST (11.00°C/km) as compared to much lower LSTLR of monsoon topoclimatic zone (5.78°C/km). The nival‐glacier regimes of the monsoon dominant and monsoon deficit regions constituted the third topoclimatic zone characterized by high elevation‐low temperature zone (HE‐LT). This zone has comparatively lower temperature lapse rate (5.26°C/km) than the immediately lower elevations. The coldest points identified in the basin are mostly placed in monsoon deficit regions with higher LSTLR. The 10–12°C isotherm in the monsoon deficit zone runs at 5,300 m a.s.l. as compared to 3,200 m a.s.l. in monsoon dominant zone. It is proposed that 80% of glacier area in the UGB is in the monsoon deficit zone that is regulated by the northern region orographic processes rather than southern slopes. Glacier change in the southern and northern zones show significant difference during the period of 1994–2016/2017, with significantly higher glacier area loss in the HE‐HT zone. The study highlights the importance of these topoclimatic considerations while evaluating the climate and hydrology of UGB.

Spatial and temporal analysis of debris flow occurrence in three adjacent basins of the western margin of Grande River: Quebrada de Humahuaca, Jujuy, Argentina

ABSTRACTNumerous slides, rock falls and flows occur in the arid mountainous areas of northwestern Argentina. On 10 January 2017, torrential rain caused the acceleration of large-scale and slow-moving landslides mainly in the Los Filtros basin and it produces important damage in the Volcán village causing fatalities, dozens of evacuees and great economic losses, with the total destruction of buildings, services and infrastructure. However, in the two adjacent creek basins, the Coiruro basin to the north and Del Medio basin to the south, the effects were smaller. A morphometric analysis of these three adjacent basins was carried out in order to understand this catastrophic event and to explore its causes. The geological characteristics of the study basins are very favourable conditioning factors in landslide generation. Precambrian-age low grade metaclastics shatter in the frost climate of the higher mountains and poorly consolidated Quaternary deposits along the sides of the gully erode readily and become source material for landslides. Also, the area, shape, relief and slope of the basins would have been other key factors in the debris/mud flow generation in the Los Filtros creek basin. The Melton ratio number has been a key morphometric index to discriminate river basins susceptible to different types of flows. Finally, this study aims to increase knowledge of all the above-mentioned events in order to provide several methods of analysis for landslide prevention and control in adjacent basins whit different dynamics in the Central Andes.

Insects and ecosystem characteristics of the Shuinan Formation in Laiyang Basin

Since 1923 to 2006(84 years), many insect fossils have been found and reported from Shuinan Formation in Laiyang basin. The researchers included Grabau, Ping Zhi, Hong Youchong, Zhang Junfeng, Wang Wenli, Yang Jikun, et al. The insect group from Shuinan Formation consist of terrestrial and aquatic insects, most of it is terrestrial insects. Its represent-ative species are: Chironomapteria gregaria, Mesolygaeus laiyangensis, and Coptoclava longipoda. By contrast, the era of Shuinan Formation is Early Cretaceous Epoch. According to the statistics, the insect fossils have 12 orders, 67 families, 131 genera and 161 species, thereinto, 5 genera’s familiae incertae sedis. The dominant insects were Diptera, Coleoptera and Hymenoptera, which were obviously different from the present ones. There are four levels of food chain among insects: plants (producers) - primary consumers - level two predators - level three predators. According to fossil insects and the other biology fossils from Shuinan Formation, this paper analyzes the ecological characteristics of the ancient Laiyang basin at the time. It provides the foundation for the protection of insect fossils production in Laiyang basin and the construction of the Cretaceous National Geopark in Laiyang City Shandong Province.

Regional tectonic model of Southern, Central part of the Mygdonian basin (Northern Greece) by applying 3D Transient Electromagnetic Modeling

This study aims to define the geotectonic characteristics of the Mygdonia basin by using 3D Transient Electromagnetic (TEM) technology. The Mygdonian basin is located between Volvi and Langada lakes around 45 km North-East of Thessaloniki city in northern Greece and presents very high seismicity. To define the tectonic regime of the area, a detailed electromagnetic survey was performed along with the geological and lithological study of the area. The TEM data were acquired using the TEM-FAST 48 instrument for 485 soundings in 159 locations. The 1-D and 2-D interpretation of the TEM data indicate the tectonic characteristics of the area. 3D modeling applied to TEM data highlighted the fracture zone in the investigated area. The geothermal field of Apollonia is also depicted. The results are validated with the previous EM (AMT, RMT, and MT) data acquired in the study area studies.

High-Resolution Mapping of Japanese Microplastic and Macroplastic Emissions from the Land into the Sea

Plastic debris presents a serious hazard to marine ecosystems worldwide. In this study, we developed a method to evaluate high-resolution maps of plastic emissions from the land into the sea offshore of Japan without using mismanaged plastic waste. Plastics were divided into microplastics (MicPs) and macroplastics (MacPs), and correlations between the observed MicP concentrations in rivers and basin characteristics, such as the urban area ratio and population density, were used to evaluate nationwide MicP concentration maps. A simple water balance analysis was used to calculate the annual outflow for each 1 km mesh to obtain the final MicP emissions, and the MacP input was evaluated based on the MicP emissions and the ratio of MacP/MicP obtained according to previous studies. Concentration data revealed that the MicP concentrations and basin characteristics were significantly and positively correlated. Water balance analyses demonstrated that our methods performed well for evaluating the annual flow rate, while reducing the computational load. The total plastic input (MicP + MacP) was widely distributed from 210–4776 t/yr and a map showed that plastic emissions were high for densely populated and highly urbanized areas in the Tokyo metropolitan area, as well as other large urban areas, especially Nagoya and Osaka. These results provide important insights that may be used to develop countermeasures against plastic pollution and the methods employed herein can also be used to evaluate plastic emissions in other regions.

Electrofishing Encounter Probability, Survival, and Dispersal of Stocked Age‐0 Muskellunge in Wisconsin Lakes

AbstractBoat electrofishing is often used to sample age‐0 Muskellunge Esox masquinongy for indexing recruitment or evaluating stocking success. However, electrofishing samples typically result in low CPUE, prompting concerns regarding whether catch rates reflect actual abundance or whether boat electrofishing is generally ineffective for capturing age‐0 Muskellunge (i.e., if fish are not being encountered by the gear). To address these concerns, we used radiotelemetry to evaluate the probability of encountering stocked age‐0 Muskellunge (230–350 mm TL) during standardized fall electrofishing surveys in three Wisconsin lakes. Our approach also allowed us to evaluate short‐term survival and dispersal from stocking locations. Despite limited dispersal (<2.5 km) from the stocking locations and relatively high short‐term survival (75–94%) of radio‐tagged fish, few age‐0 Muskellunge were located within the path of the electrofishing boat (7–30%). Furthermore, the probability of encounter by boat electrofishing varied by as much as 6.3 times among lakes. Differences in encounter probability among lakes appeared to be related to lake basin and habitat characteristics. Overlays of electrofishing sampling effort and fish locations revealed that traditional shoreline electrofishing may not be an effective way of estimating age‐0 Muskellunge CPUE. Modifications to electrofishing protocols, including increased effort in offshore areas and consideration of basin characteristics and habitat, may be needed to increase encounter probabilities and the utility of boat electrofishing for sampling age‐0 Muskellunge.

Basin characteristics, river morphology, and process in the Chure-Terai landscape

The study aims to illustrate the basin characteristics, river morphology and river processes in the Chure- terai Landscape. The basin and morphological variables used in the study were derived from the satellite imageries available on Google earth, digital elevation models, and relevant maps. The cross-section survey and hydrometric data, incorporated in the study were obtained from the secondary sources, reports, and documents. The Bakraha River basin is underlain by the rocks of the Siwalik group in the south. The rocks are highly deformed and fractured and have the steep and variable slope and are subject to strong seismic shaking. The network of drainage is dense, with the predominance of colluvial streams that receive sediments from slope failure and erosion. The steep profile of the river demonstrates the ability to transport a huge sediment load during a high flood. The climatic regime and daily annual extreme rainfall between 100-300mm can initiate shallow landslides to large and deep-seated landslides. Landslides very large, small to shallow types are quite numerous, which indicates terrain highly susceptible to slope failure and erosion. The forest cover is above 84% but largely has been degraded and interspersed by agricultural patches and settlements with population dependent on agriculture and livestock. The lower catchment has dominant agricultural land use. The role of riparian vegetation for bank protection and flood control is limited. In the hilly areas, the river reaches are mainly sinuous to straight controlled by bedrock and in Terai, the reaches are straight, wandering to meandering towards the south. River slope is very steep, up to 15.2% in hills and mild in the meandering reaches in Terai decreasing to 0.1%. In the straight reaches, sediments are mainly boulders, gravels, bedrocks and sands in the hill, while in meandering reaches in Terai, sediments are sand and silt. The discharge varies 200-734 cusec from upstream (close to outlet) to downstream, (16.5 km away). The estimated sediment load transport during extreme flood events highly varies. Potential sediment load decreases from straight to meandering reaches, with some fluctuations in certain locations, owing to change in local morphological conditions. Bank erosion, bend scour, confluence scour, and protrusion scours, and avulsions are the river processes, which provide a source of sediments to the river. Change in planform and cross-section view of the river morphology indicate the river is unstable and dynamic due to the frequent shifts between accretion to erosion processes.

Assessing basin storage: Comparison of hydrometric‐ and tracer‐based indices of dynamic and total storage

AbstractStorage is a fundamental but elusive component of drainage basin function, influencing synchronization between precipitation input and streamflow output and mediating basin sensitivity to climate and land use/land cover (LULC) change. We compare hydrometric and isotopic approaches to estimate indices of dynamic and total basin storage, respectively, and assess inter‐basin differences in these indices across the Oak Ridges Moraine (ORM) region of southern Ontario, Canada. Dynamic storage indices for the 20 study basins included the ratio of baseflow to total streamflow (baseflow index BFI), Q 99 flow and flow duration curve (FDC) slope. Ratios of the standard deviation of the streamflow stable isotope signal relative to that of precipitation were determined for each basin from a 1 year bi‐weekly sampling program and used as indicators of total storage. Smaller ratios imply longer water travel times, smaller young water fractions (F yw, < ~2–3 months in age) in streamflow and greater basin storage. Ratios were inversely related to BFI and Q 99, and positively related to FDC slope, suggesting longer travel times and smaller F yw for basins with stable baseflow‐dominated streamflow regimes. Inter‐basin differences in all indices reflected topographic, hydrogeologic and LULC controls on storage, which was greatest in steep, forest‐covered headwaters underlain by permeable deposits with thick and relatively uniform unsaturated zones. Nevertheless, differential sensitivity of indices to controls on storage indicates the value of using several indices to capture more completely how basin characteristics influence storage. Regression relationships between storage indices and basin characteristics provided reasonable predictions of aspects of the streamflow regime of test basins in the ORM region. Such relationships and the underlying knowledge of controls on basin storage in this landscape provide the foundation for initial predictions of relative differences in streamflow response to regional changes in climate and LULC.

A hydrogeomorphic and condition classification for Maine, USA, lakes

Deeds J, Amirhbahman A, Norton SA, Bacon LC. 2020. A hydrogeomorphic and condition classification for Maine, USA, lakes. Lake Reserv Manage. 36:122–138. The water quality of lakes is influenced by natural landscape features, anthropogenic watershed activities, and local-scale characteristics of lake basins. Lake assessment for water quality standards is enhanced by a lake classification framework that allows for comparison of lakes of similar types and the creation of benchmark water quality values from reference lakes. Conventional lake classifications, such as those based on trophic state alone, commonly do not incorporate the natural features of the landscape or lake-specific characteristics that influence lake condition. We present a hydrogeomorphic (HGM)-based lake classification, tested with linear mixed effects modeling, to determine which natural features of lakes and their watersheds show the greatest influence on lake condition. A priori classification schemes were created for model testing using combinations of various HGM features. Model strength was evaluated based on ability to predict mean lake total phosphorus and specific conductivity values. Aggregated Level IV Ecoregions stratified by 2 categories of maximum lake depth offered the most robust lake classification. We defined condition classes of reference, intermediate, and altered lakes based on the gradient of developed watershed area that is unique to each lake class. This approach to lake classification has implications for any region or study, as HGM variables relevant to the population of lakes of interest may be tested for efficacy in a variety of schemes to suit the goals of the classification.

Improvement of Bird Prevention Strategy Based on Big Data Mining

This paper takes the bird damage situation of transmission lines in Y city of Henan province over the years as the research object, and adopts the method of data mining to conduct big data analysis of transmission line towers in Y city, so as to carry out targeted precise prevention and control of bird damage. Through the calculation of the correlation coefficient, we can find that the related factors of bird damage are: the arrangement of the tower insulator, the distance between the tower and the river, the height of the tower. In this paper, the characteristics of month, time, region and river basin of bird pest in Y City are analysed, and some laws beneficial to actual production are found. Combining the characteristics of various anti-bird devices at the current stage, it puts forward two new bird proof measures of 35kV “up" type pole tower innovatively, which has been proved to be effective in practice. Y City’s new idea of precise prevention and control of bird damage, has reference and reference significance for the prevention and control of bird damage in power grid.

Statistical assessment of background levels for metal contamination from a subtropical estuarine system in the SW Atlantic (Paranaguá Estuarine System, Brazil)

Trace metal background levels determination is essential for the proper assessment of the contamination status of a region. This study aims to integrate geochemical and statistical methods for the reliable determination of background levels, applying it to the sediments of the Paranagua Estuarine System (PES), a large subtropical estuarine system of international importance since it is considered a World Heritage Site and Biosphere Reserve and it harbors the main South American grain shipping port. Prediction Interval (PI) was applied as a chemometric tool to evaluate metal enrichment without a reference level and assess a regional background. Moreover, the sources and concentrations of major and trace elements were assessed in surface sediments from 135 sampling sites located in the Paranagua Estuarine System (PES). PES surface sediment elements concentrations may be considered lower than those found in other anthropized environments indicating no significant contamination for most of the studied elements (Cr, Cu, Ni, Pb and Zn). The levels of As in the PES may be related to the geochemical characteristics of the adjacent drainage basin and the occurrence of phosphate rocks, which contain As in their composition. However, As was also influenced by anthropogenic inputs either from agricultural activities or fertilizer industries working with mining phosphate in the region.

Delineating flood hazards using the interpreted structural setting and GIS in Attaif, western Saudi Arabia

Attaif is one of the most flooded areas in the Kingdom of Saudi Arabia due to its topography, being located at the eastern coast of the Red Sea. In the present study, we used the aeromagnetic data and the GIS techniques in order to understand the behaviour of the flood and its relation to geological structures. The aeromagnetic data can be used for mapping tectonic features, geologic contacts, and structures of the buried basement terrain. The structural lineaments (e.g. faults, which cause the formation of major basins) were deduced from magnetic maps. The basin trends reflect the structural elements that control the drainage of flood towards the basins and sub-basins. In the study, a direct relationship between the lineament features and the drainage streams was found. Besides, the database of the geological features was built using GIS capabilities. The geomorphic characteristics of a drainage basin represent a significant function in controlling the basin’s hydrology. The hydrologic data was extracted from the DEM data by using the flow accumulation grid tool. Moreover, the spatial distribution of drainage basins and the morphometric analysis was achieved by using the ArcGIS software. Besides, the evaluation of different morphometric parameters represented the land’s topographic expression. The results revealed that Attaif is crossed by three major flood basins, which are controlled by deep geological structures.

Geospatial and Artificial Neural Network Applications for Prioritization of Watershed Prediction

Characteristics of the river basin formed by natural factors and non-natural factors that makes up an ecosystem. One of the characters that create the river basin of the physical element is morphometry. Morphometry has three parameters such as linear, relief, and areal. The linear aspect consist of stream order (U), stream length (Lu), bifurcation ratio (Rb), stream length ratio (Rl), bifurcation ratio (Rb). Relief aspect consists of basin relief (Bh), relief ratio (Rh), ruggedness number (Rn). Areal elements comprise drainage density (Dd), stream frequency (Fs), texture ratio (T), form factor (Rf), circularity ratio (Rc), elongation ratio (Re), length of overland flow (Lg), constant channel maintenance (C). This study aims to analyze the characteristics of watershed morphometry and implement Geographical Information System (GIS) and Artificial Neural Network (ANN) to get watershed priority predictions. After analyze, the prioritization based on morphometry that is six sub-watershed with very high priority, two sub-watershed with high priority, four sub-watershed with medium priority and five sub-watershed have low priorities. From the test results by measuring method using a neural network based, it is known that neural network algorithms yield accuracy values 90.00%, and class precision 90.82 %. The model produced satisfactory results and showed a very good agreement between the predicted and observed data.